ride_or_die.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ride or die neurons in the connectome\n",
    "\n",
    "The goal of this notebook is to find the \"ride or die\" contingents in oviIN's connectome. These are neurons that stick together throughout all of the modularity resolutions. \n",
    "1. Set the maximum resolution to use to assess whether neurons stuck together or not. \n",
    "2. Within each module at the maximum resolution, determine whether neurons consistently traveled through the same modules at lower resolutions. If yes, they are a \"ride or die\" contingent. If no, then the entire module is discarded.\n",
    "3. Plot a Sankey of the ride or die contingent to check the results.\n",
    "\n",
    "I expect the results from this analysis to be slightly different from the results of the analysis that Rhessa is working on. There, she is disqualifying modules at every resolution wherever the modules had recombined (crossing partitions). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1003215282</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>CL229_R</td>\n",
       "      <td>CL229</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM19</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[23044, 14981, 11600]</td>\n",
       "      <td>{'INP': {'pre': 87, 'post': 351, 'downstream':...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['EPA(R)', 'GOR(R)', 'IB', 'ICL(R)', 'INP', 'S...</td>\n",
       "      <td>['GOR(R)', 'IB', 'ICL(R)', 'INP', 'SCL(R)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1005952640</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>IB058_R</td>\n",
       "      <td>IB058</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'INP': {'pre': 464, 'post': 1327, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(R)', 'IB', 'ICL(R)', 'INP', 'PLP(R)', 'S...</td>\n",
       "      <td>['ATL(R)', 'IB', 'ICL(R)', 'INP', 'PLP(R)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1006928515</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>CL300_R</td>\n",
       "      <td>CL300</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL13</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[12083, 10523, 16816]</td>\n",
       "      <td>{'INP': {'pre': 79, 'post': 126, 'downstream':...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(R)', 'IB', 'ICL(R)', 'INP', 'SCL(R)', 'S...</td>\n",
       "      <td>['ATL(R)', 'IB', 'ICL(R)', 'INP', 'SCL(R)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1007260806</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>CL301_R</td>\n",
       "      <td>CL301</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL13</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[13524, 10108, 16480]</td>\n",
       "      <td>{'INP': {'pre': 40, 'post': 128, 'downstream':...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['GOR(R)', 'IB', 'ICL(R)', 'INP', 'PLP(R)', 'S...</td>\n",
       "      <td>['IB', 'ICL(R)', 'INP', 'PLP(R)', 'SCL(R)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1008024276</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>FB5N_R</td>\n",
       "      <td>FB5N</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM08</td>\n",
       "      <td>472.5</td>\n",
       "      <td>[19178, 29711, 37312]</td>\n",
       "      <td>{'SNP(L)': {'post': 5, 'upstream': 5, 'mito': ...</td>\n",
       "      <td>SMPCREFB5_4</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2506</th>\n",
       "      <td>987273073</td>\n",
       "      <td>2507</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>409</td>\n",
       "      <td>604</td>\n",
       "      <td>629</td>\n",
       "      <td>(PVL05)_L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 65, 'post': 52, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2507</th>\n",
       "      <td>987842109</td>\n",
       "      <td>2508</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>23</td>\n",
       "      <td>533</td>\n",
       "      <td>780</td>\n",
       "      <td>815</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Orphan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Orphan hotknife</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 2, 'post': 13, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['SMP(R)', 'SNP(R)']</td>\n",
       "      <td>['SMP(R)', 'SNP(R)']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2508</th>\n",
       "      <td>988567837</td>\n",
       "      <td>2509</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>16</td>\n",
       "      <td>58</td>\n",
       "      <td>63</td>\n",
       "      <td>FB4G_R</td>\n",
       "      <td>FB4G</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 6, 'post': 73, 'downstream'...</td>\n",
       "      <td>CRELALFB4_3</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2509</th>\n",
       "      <td>988909130</td>\n",
       "      <td>2510</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>389</td>\n",
       "      <td>559</td>\n",
       "      <td>572</td>\n",
       "      <td>FB5V_R</td>\n",
       "      <td>FB5V</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM10</td>\n",
       "      <td>296.5</td>\n",
       "      <td>[13226, 32024, 18600]</td>\n",
       "      <td>{'SNP(R)': {'pre': 1, 'post': 28, 'downstream'...</td>\n",
       "      <td>CRELALFB5</td>\n",
       "      <td>['AB(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX',...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2510</th>\n",
       "      <td>989228019</td>\n",
       "      <td>2511</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>389</td>\n",
       "      <td>559</td>\n",
       "      <td>572</td>\n",
       "      <td>FB5V_R</td>\n",
       "      <td>FB5V</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM10</td>\n",
       "      <td>296.5</td>\n",
       "      <td>[12516, 33587, 18648]</td>\n",
       "      <td>{'SNP(R)': {'pre': 1, 'post': 45, 'downstream'...</td>\n",
       "      <td>CRELALFB5</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2511 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id   key  0.0  0.05  0.1  0.5  0.75  1.0   instance celltype  \\\n",
       "0     1003215282     1    1     1    1    1     1    1    CL229_R    CL229   \n",
       "1     1005952640     2    2     1    1    2     2    2    IB058_R    IB058   \n",
       "2     1006928515     3    1     1    1    3     3    3    CL300_R    CL300   \n",
       "3     1007260806     4    2     1    1    4     4    4    CL301_R    CL301   \n",
       "4     1008024276     5    3     2    2    5     5    5     FB5N_R     FB5N   \n",
       "...          ...   ...  ...   ...  ...  ...   ...  ...        ...      ...   \n",
       "2506   987273073  2507    3     8    8  409   604  629  (PVL05)_L      NaN   \n",
       "2507   987842109  2508    3     9   23  533   780  815        NaN      NaN   \n",
       "2508   988567837  2509    2     3    4   16    58   63     FB4G_R     FB4G   \n",
       "2509   988909130  2510    2     3    4  389   559  572     FB5V_R     FB5V   \n",
       "2510   989228019  2511    2     3    4  389   559  572     FB5V_R     FB5V   \n",
       "\n",
       "      ...  status  cropped      statusLabel  cellBodyFiber  somaRadius  \\\n",
       "0     ...  Traced    False   Roughly traced          PDM19       301.0   \n",
       "1     ...  Traced    False   Roughly traced          PVL20         NaN   \n",
       "2     ...  Traced    False   Roughly traced          PVL13       236.0   \n",
       "3     ...  Traced    False   Roughly traced          PVL13       236.0   \n",
       "4     ...  Traced    False   Roughly traced          AVM08       472.5   \n",
       "...   ...     ...      ...              ...            ...         ...   \n",
       "2506  ...  Traced    False   Roughly traced            NaN         NaN   \n",
       "2507  ...  Orphan      NaN  Orphan hotknife            NaN         NaN   \n",
       "2508  ...  Traced    False   Roughly traced          AVM08         NaN   \n",
       "2509  ...  Traced    False   Roughly traced          AVM10       296.5   \n",
       "2510  ...  Traced    False   Roughly traced          AVM10       296.5   \n",
       "\n",
       "               somaLocation  \\\n",
       "0     [23044, 14981, 11600]   \n",
       "1                       NaN   \n",
       "2     [12083, 10523, 16816]   \n",
       "3     [13524, 10108, 16480]   \n",
       "4     [19178, 29711, 37312]   \n",
       "...                     ...   \n",
       "2506                    NaN   \n",
       "2507                    NaN   \n",
       "2508                    NaN   \n",
       "2509  [13226, 32024, 18600]   \n",
       "2510  [12516, 33587, 18648]   \n",
       "\n",
       "                                                roiInfo        notes  \\\n",
       "0     {'INP': {'pre': 87, 'post': 351, 'downstream':...          NaN   \n",
       "1     {'INP': {'pre': 464, 'post': 1327, 'downstream...          NaN   \n",
       "2     {'INP': {'pre': 79, 'post': 126, 'downstream':...          NaN   \n",
       "3     {'INP': {'pre': 40, 'post': 128, 'downstream':...          NaN   \n",
       "4     {'SNP(L)': {'post': 5, 'upstream': 5, 'mito': ...  SMPCREFB5_4   \n",
       "...                                                 ...          ...   \n",
       "2506  {'SNP(R)': {'pre': 65, 'post': 52, 'downstream...          NaN   \n",
       "2507  {'SNP(R)': {'pre': 2, 'post': 13, 'downstream'...          NaN   \n",
       "2508  {'SNP(R)': {'pre': 6, 'post': 73, 'downstream'...  CRELALFB4_3   \n",
       "2509  {'SNP(R)': {'pre': 1, 'post': 28, 'downstream'...    CRELALFB5   \n",
       "2510  {'SNP(R)': {'pre': 1, 'post': 45, 'downstream'...    CRELALFB5   \n",
       "\n",
       "                                              inputRois  \\\n",
       "0     ['EPA(R)', 'GOR(R)', 'IB', 'ICL(R)', 'INP', 'S...   \n",
       "1     ['ATL(R)', 'IB', 'ICL(R)', 'INP', 'PLP(R)', 'S...   \n",
       "2     ['ATL(R)', 'IB', 'ICL(R)', 'INP', 'SCL(R)', 'S...   \n",
       "3     ['GOR(R)', 'IB', 'ICL(R)', 'INP', 'PLP(R)', 'S...   \n",
       "4     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "...                                                 ...   \n",
       "2506  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2507                               ['SMP(R)', 'SNP(R)']   \n",
       "2508  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "2509  ['AB(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX',...   \n",
       "2510  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "\n",
       "                                             outputRois  \n",
       "0     ['GOR(R)', 'IB', 'ICL(R)', 'INP', 'SCL(R)', 'S...  \n",
       "1     ['ATL(R)', 'IB', 'ICL(R)', 'INP', 'PLP(R)', 'S...  \n",
       "2     ['ATL(R)', 'IB', 'ICL(R)', 'INP', 'SCL(R)', 'S...  \n",
       "3     ['IB', 'ICL(R)', 'INP', 'PLP(R)', 'SCL(R)', 'S...  \n",
       "4     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "...                                                 ...  \n",
       "2506  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2507                               ['SMP(R)', 'SNP(R)']  \n",
       "2508  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "2509  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "2510  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "\n",
       "[2511 rows x 26 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ovi_in_node_df = pd.read_csv('ovi_preprocessed/preprocessed_inputs-v1.2.1/preprocessed_nodes.csv')\n",
    "ovi_in_node_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sankey function that is working\n",
    "I tried turning my Sankey plotting into this neato function but was a problem. It's fixed now! Rhessa helped see the issue."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.graph_objects as go\n",
    "def create_Sankey(df0, title_str):\n",
    "    \"\"\"Girl, turn all that code into a function! Only pass a dataframe that has resolution columns and no other columns.\"\"\"\n",
    "\n",
    "    # make a copy of the dataframe since we will be modifying it in the function\n",
    "    df = df0.copy()\n",
    "\n",
    "    # get the columns of the dataframe\n",
    "    res = df.columns\n",
    "\n",
    "    # add a column of ones to ovi_HB_chunk\n",
    "    df['counts'] = 1\n",
    "\n",
    "    # these are for the nodes and links that will be used in the sankey diagram\n",
    "    nodes = []\n",
    "    links = pd.DataFrame()\n",
    "\n",
    "    # append _r0.0 to values in column '0.0' and so on\n",
    "    for col in res:\n",
    "        \n",
    "        # rename columns after doing the above\n",
    "        df[col] = df[col].astype(str) + '_r' + col\n",
    "\n",
    "        # create a list of nodes from all the columns\n",
    "        # do this after renaming the columns\n",
    "        nodes = nodes + df[col].unique().tolist()\n",
    "\n",
    "    for i in range(len(res)-1):\n",
    "        # create the Sankey levels\n",
    "        #df2 = df.groupby([columns[i],columns[i+1]])['counts'].count().reset_index()\n",
    "        df2 = df[[res[i],res[i+1],'counts']].groupby([res[i],res[i+1]]).count().reset_index()\n",
    "        df2.columns = ['source','target','value']\n",
    "        links = pd.concat([links, df2], axis=0)\n",
    "        \n",
    "    # this is basically a mapping dictionary of nodes enumerated\n",
    "    mapping_dict = {k: v for v, k in enumerate(nodes)}\n",
    "\n",
    "    # replace source and target with enumerated values\n",
    "    links['source'] = links['source'].map(mapping_dict)\n",
    "    links['target'] = links['target'].map(mapping_dict)\n",
    "\n",
    "    # turn this table into a dictionary for making the sankey diagram\n",
    "    links_dict = links.to_dict(orient='list')\n",
    "\n",
    "    # plot it\n",
    "    fig = go.Figure(data=[go.Sankey(\n",
    "        node = dict(\n",
    "            pad = 15,\n",
    "            thickness=20,\n",
    "            #line=dict(color='blue', width=0.5),\n",
    "            label = nodes,\n",
    "            #color='green'\n",
    "        ),\n",
    "        link = dict(\n",
    "        source= links_dict['source'],\n",
    "        target = links_dict['target'],\n",
    "        value = links_dict['value']\n",
    "        )\n",
    "    )\n",
    "    ])\n",
    "    fig.update_layout(title=title_str, height=1000)\n",
    "    fig.show()\n",
    "\n",
    "    #return nodes, links"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sankey of oviINr inputs connectome for only 0.0, 0.05, and 0.1 res\n",
    "I want to see a Sankey first. I'm going to try this out using resolution 0.1 as the maximum resolution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# take only the columns with modularity data to test function\n",
    "ovi_HB_chunk = ovi_in_node_df[['0.0','0.05','0.1']].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "link": {
          "source": [
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           0,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           3,
           3,
           3,
           3,
           3,
           3,
           3,
           3,
           3,
           3,
           3,
           3,
           3,
           3,
           3,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           4,
           104,
           105,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           15,
           16,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           18,
           18,
           18,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           20,
           21,
           22,
           23,
           5,
           5,
           5,
           5,
           5,
           5,
           5,
           5,
           5,
           5,
           24,
           25,
           26,
           27,
           28,
           29,
           30,
           31,
           32,
           32,
           33,
           6,
           6,
           6,
           6,
           6,
           6,
           6,
           34,
           35,
           36,
           37,
           38,
           39,
           40,
           41,
           42,
           43,
           7,
           7,
           7,
           7,
           7,
           7,
           7,
           7,
           7,
           7,
           7,
           44,
           45,
           46,
           47,
           48,
           49,
           50,
           51,
           51,
           51,
           51,
           51,
           52,
           53,
           53,
           53,
           53,
           8,
           8,
           8,
           8,
           8,
           8,
           8,
           8,
           8,
           54,
           54,
           55,
           56,
           57,
           58,
           59,
           60,
           61,
           62,
           63,
           9,
           9,
           9,
           9,
           9,
           9,
           9,
           9,
           9,
           64,
           65,
           66,
           67,
           68,
           69,
           70,
           71,
           72,
           73,
           10,
           74,
           75,
           76,
           77,
           78,
           79,
           80,
           81,
           82,
           83,
           11,
           11,
           11,
           11,
           11,
           11,
           11,
           11,
           11,
           11,
           11,
           11,
           11,
           11,
           84,
           85,
           86,
           87,
           88,
           89,
           90,
           91,
           92,
           93,
           12,
           12,
           12,
           12,
           12,
           12,
           12,
           94,
           95,
           96,
           97,
           98,
           99,
           100,
           101,
           102,
           103,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13
          ],
          "target": [
           105,
           14,
           17,
           22,
           5,
           6,
           36,
           7,
           51,
           8,
           60,
           61,
           9,
           10,
           78,
           79,
           83,
           11,
           88,
           89,
           93,
           12,
           97,
           98,
           102,
           13,
           14,
           16,
           17,
           18,
           21,
           23,
           5,
           24,
           26,
           27,
           30,
           31,
           32,
           33,
           34,
           35,
           38,
           39,
           40,
           41,
           42,
           43,
           7,
           44,
           45,
           47,
           48,
           49,
           50,
           51,
           52,
           53,
           8,
           54,
           55,
           56,
           57,
           58,
           59,
           62,
           63,
           9,
           64,
           65,
           66,
           67,
           68,
           70,
           71,
           11,
           12,
           95,
           100,
           101,
           13,
           14,
           19,
           20,
           25,
           28,
           29,
           6,
           7,
           53,
           8,
           9,
           11,
           85,
           91,
           92,
           12,
           96,
           99,
           13,
           104,
           14,
           17,
           18,
           19,
           5,
           32,
           6,
           7,
           46,
           8,
           54,
           72,
           80,
           84,
           14,
           15,
           17,
           19,
           6,
           37,
           8,
           9,
           65,
           69,
           73,
           74,
           75,
           76,
           77,
           81,
           82,
           86,
           87,
           90,
           12,
           94,
           103,
           110,
           194,
           117,
           121,
           122,
           128,
           130,
           131,
           135,
           136,
           110,
           172,
           175,
           181,
           182,
           184,
           185,
           186,
           188,
           110,
           110,
           116,
           120,
           106,
           125,
           128,
           108,
           110,
           111,
           126,
           110,
           173,
           116,
           106,
           108,
           110,
           170,
           173,
           174,
           111,
           113,
           114,
           118,
           119,
           110,
           110,
           106,
           126,
           134,
           138,
           139,
           109,
           110,
           166,
           169,
           111,
           110,
           123,
           124,
           110,
           110,
           110,
           110,
           110,
           128,
           110,
           110,
           125,
           107,
           108,
           109,
           110,
           111,
           113,
           110,
           132,
           110,
           133,
           110,
           137,
           128,
           110,
           110,
           110,
           116,
           120,
           121,
           106,
           107,
           108,
           109,
           110,
           111,
           112,
           113,
           141,
           142,
           110,
           143,
           144,
           147,
           149,
           128,
           152,
           153,
           164,
           110,
           110,
           128,
           158,
           110,
           166,
           106,
           128,
           140,
           151,
           110,
           168,
           176,
           183,
           114,
           128,
           138,
           110,
           154,
           155,
           110,
           156,
           161,
           110,
           110,
           110,
           116,
           106,
           125,
           108,
           110,
           167,
           171,
           111,
           113,
           162,
           163,
           110,
           110,
           110,
           165,
           110,
           110,
           110,
           110,
           110,
           110,
           110,
           167,
           110,
           110,
           110,
           110,
           110,
           110,
           110,
           115,
           106,
           126,
           127,
           128,
           129,
           138,
           108,
           145,
           146,
           160,
           111,
           112,
           113,
           110,
           173,
           128,
           177,
           128,
           178,
           128,
           179,
           110,
           128,
           120,
           125,
           108,
           109,
           111,
           180,
           113,
           110,
           189,
           110,
           190,
           110,
           110,
           106,
           192,
           193,
           128,
           128,
           138,
           148,
           150,
           157,
           159,
           110,
           187,
           191
          ],
          "value": [
           1,
           5,
           374,
           1,
           57,
           28,
           1,
           3,
           1,
           6,
           1,
           1,
           13,
           1,
           1,
           1,
           2,
           9,
           1,
           1,
           1,
           4,
           1,
           1,
           1,
           3,
           13,
           1,
           2,
           2,
           1,
           1,
           210,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           200,
           1,
           1,
           1,
           1,
           1,
           1,
           8,
           1,
           3,
           9,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           2,
           1,
           1,
           1,
           1,
           1,
           1,
           199,
           13,
           1,
           1,
           1,
           12,
           10,
           2,
           1,
           1,
           1,
           1,
           293,
           62,
           1,
           3,
           1,
           3,
           1,
           1,
           1,
           199,
           1,
           1,
           4,
           1,
           7,
           3,
           1,
           256,
           4,
           1,
           2,
           17,
           1,
           5,
           1,
           1,
           1,
           1,
           10,
           1,
           13,
           1,
           3,
           1,
           1,
           326,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           17,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           3,
           1,
           1,
           1,
           1,
           27,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           221,
           14,
           1,
           1,
           3,
           1,
           150,
           1,
           1,
           1,
           231,
           3,
           8,
           5,
           2,
           1,
           2,
           2,
           4,
           1,
           1,
           1,
           1,
           1,
           196,
           4,
           3,
           2,
           1,
           1,
           2,
           1,
           1,
           60,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           3,
           170,
           141,
           2,
           2,
           6,
           2,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           4,
           4,
           1,
           5,
           1,
           2,
           251,
           2,
           3,
           8,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           5,
           1,
           1,
           1,
           1,
           1,
           2,
           3,
           1,
           1,
           13,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           5,
           1,
           282,
           2,
           1,
           1,
           1,
           38,
           10,
           2,
           2,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           2,
           8,
           3,
           1,
           2,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           11,
           178,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           2,
           2,
           12,
           11,
           2,
           203,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           3,
           1,
           1,
           1,
           1,
           1,
           9,
           1,
           1
          ]
         },
         "node": {
          "label": [
           "1_r0.0",
           "2_r0.0",
           "3_r0.0",
           "4_r0.0",
           "5_r0.0",
           "1_r0.05",
           "2_r0.05",
           "3_r0.05",
           "4_r0.05",
           "5_r0.05",
           "6_r0.05",
           "7_r0.05",
           "8_r0.05",
           "9_r0.05",
           "10_r0.05",
           "11_r0.05",
           "12_r0.05",
           "13_r0.05",
           "14_r0.05",
           "15_r0.05",
           "16_r0.05",
           "17_r0.05",
           "18_r0.05",
           "19_r0.05",
           "20_r0.05",
           "21_r0.05",
           "22_r0.05",
           "23_r0.05",
           "24_r0.05",
           "25_r0.05",
           "26_r0.05",
           "27_r0.05",
           "28_r0.05",
           "29_r0.05",
           "30_r0.05",
           "31_r0.05",
           "32_r0.05",
           "33_r0.05",
           "34_r0.05",
           "35_r0.05",
           "36_r0.05",
           "37_r0.05",
           "38_r0.05",
           "39_r0.05",
           "40_r0.05",
           "41_r0.05",
           "42_r0.05",
           "43_r0.05",
           "44_r0.05",
           "45_r0.05",
           "46_r0.05",
           "47_r0.05",
           "48_r0.05",
           "49_r0.05",
           "50_r0.05",
           "51_r0.05",
           "52_r0.05",
           "53_r0.05",
           "54_r0.05",
           "55_r0.05",
           "56_r0.05",
           "57_r0.05",
           "58_r0.05",
           "59_r0.05",
           "60_r0.05",
           "61_r0.05",
           "62_r0.05",
           "63_r0.05",
           "64_r0.05",
           "65_r0.05",
           "66_r0.05",
           "67_r0.05",
           "68_r0.05",
           "69_r0.05",
           "70_r0.05",
           "71_r0.05",
           "72_r0.05",
           "73_r0.05",
           "74_r0.05",
           "75_r0.05",
           "76_r0.05",
           "77_r0.05",
           "78_r0.05",
           "79_r0.05",
           "80_r0.05",
           "81_r0.05",
           "82_r0.05",
           "83_r0.05",
           "84_r0.05",
           "85_r0.05",
           "86_r0.05",
           "87_r0.05",
           "88_r0.05",
           "89_r0.05",
           "90_r0.05",
           "91_r0.05",
           "92_r0.05",
           "93_r0.05",
           "94_r0.05",
           "95_r0.05",
           "96_r0.05",
           "97_r0.05",
           "98_r0.05",
           "99_r0.05",
           "100_r0.05",
           "101_r0.05",
           "1_r0.1",
           "2_r0.1",
           "3_r0.1",
           "4_r0.1",
           "5_r0.1",
           "6_r0.1",
           "7_r0.1",
           "8_r0.1",
           "9_r0.1",
           "10_r0.1",
           "11_r0.1",
           "12_r0.1",
           "13_r0.1",
           "14_r0.1",
           "15_r0.1",
           "16_r0.1",
           "17_r0.1",
           "18_r0.1",
           "19_r0.1",
           "20_r0.1",
           "21_r0.1",
           "22_r0.1",
           "23_r0.1",
           "24_r0.1",
           "25_r0.1",
           "26_r0.1",
           "27_r0.1",
           "28_r0.1",
           "29_r0.1",
           "30_r0.1",
           "31_r0.1",
           "32_r0.1",
           "33_r0.1",
           "34_r0.1",
           "35_r0.1",
           "36_r0.1",
           "37_r0.1",
           "38_r0.1",
           "39_r0.1",
           "40_r0.1",
           "41_r0.1",
           "42_r0.1",
           "43_r0.1",
           "44_r0.1",
           "45_r0.1",
           "46_r0.1",
           "47_r0.1",
           "48_r0.1",
           "49_r0.1",
           "50_r0.1",
           "51_r0.1",
           "52_r0.1",
           "53_r0.1",
           "54_r0.1",
           "55_r0.1",
           "56_r0.1",
           "57_r0.1",
           "58_r0.1",
           "59_r0.1",
           "60_r0.1",
           "61_r0.1",
           "62_r0.1",
           "63_r0.1",
           "64_r0.1",
           "65_r0.1",
           "66_r0.1",
           "67_r0.1",
           "68_r0.1",
           "69_r0.1",
           "70_r0.1",
           "71_r0.1",
           "72_r0.1",
           "73_r0.1",
           "74_r0.1",
           "75_r0.1",
           "76_r0.1",
           "77_r0.1",
           "78_r0.1",
           "79_r0.1",
           "80_r0.1",
           "81_r0.1",
           "82_r0.1",
           "83_r0.1",
           "84_r0.1",
           "85_r0.1",
           "86_r0.1",
           "87_r0.1",
           "88_r0.1",
           "89_r0.1"
          ],
          "pad": 15,
          "thickness": 20
         },
         "type": "sankey"
        }
       ],
       "layout": {
        "height": 1000,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Sankey test"
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_Sankey(ovi_HB_chunk,'Sankey test')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking by eye, there seems to be a lot of stuff that rides together through the resolutions. For the algorithm, we will loop through each module of the 0.1 resolution and test for togetherness in the coarser resolutions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ride or die from 0.1 max res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the max res to use\n",
    "max_res = '0.1'\n",
    "\n",
    "# the df to use since we don't need body ids\n",
    "test = ovi_in_node_df[['0.0','0.05','0.1']].copy()\n",
    "\n",
    "# get a list of module ids\n",
    "module_ids = test[max_res].unique().tolist()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>1036503560</td>\n",
       "      <td>52</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>LHPV3a1_R</td>\n",
       "      <td>LHPV3a1</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL10</td>\n",
       "      <td>286.0</td>\n",
       "      <td>[2035, 16392, 14088]</td>\n",
       "      <td>{'SNP(R)': {'post': 3, 'upstream': 3}, 'SLP(R)...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AVLP(R)', 'EPA(L)', 'EPA(R)', 'GC', 'INP', '...</td>\n",
       "      <td>['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>1223388206</td>\n",
       "      <td>220</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>WEDPN17_a_R</td>\n",
       "      <td>WEDPN17_a</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVL09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'VLNP(R)': {'pre': 244, 'post': 127, 'downstr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>1232041867</td>\n",
       "      <td>230</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>124</td>\n",
       "      <td>134</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'INP': {'pre': 6, 'post': 16, 'downstream': 7...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(L)', 'EPA...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>1283173461</td>\n",
       "      <td>243</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>22</td>\n",
       "      <td>102</td>\n",
       "      <td>130</td>\n",
       "      <td>140</td>\n",
       "      <td>PS127_R</td>\n",
       "      <td>PS127</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM17</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[25778, 15112, 15296]</td>\n",
       "      <td>{'INP': {'pre': 374, 'post': 368, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['IB', 'ICL(R)', 'INP', 'IPS(R)', 'LAL(-GA)(R)...</td>\n",
       "      <td>['IB', 'ICL(R)', 'INP', 'IPS(R)', 'PLP(R)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>1313849992</td>\n",
       "      <td>257</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>22</td>\n",
       "      <td>102</td>\n",
       "      <td>130</td>\n",
       "      <td>140</td>\n",
       "      <td>PS098_L</td>\n",
       "      <td>PS098</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM19</td>\n",
       "      <td>334.0</td>\n",
       "      <td>[25538, 32016, 17080]</td>\n",
       "      <td>{'INP': {'pre': 267, 'post': 144, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['EPA(R)', 'IB', 'ICL(R)', 'INP', 'IPS(R)', 'P...</td>\n",
       "      <td>['EPA(R)', 'IB', 'ICL(R)', 'INP', 'PLP(R)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>1448929584</td>\n",
       "      <td>308</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>124</td>\n",
       "      <td>134</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'INP': {'pre': 10, 'post': 7, 'downstream': 7...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['EPA(L)', 'EPA(R)', 'GC', 'ICL(R)', 'INP', 'L...</td>\n",
       "      <td>['EPA(L)', 'EPA(R)', 'GC', 'ICL(R)', 'INP', 'L...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>1633078450</td>\n",
       "      <td>368</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>149</td>\n",
       "      <td>196</td>\n",
       "      <td>195</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'LX(R)': {'pre': 165, 'post': 63, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['LAL(-GA)(R)', 'LAL(L)', 'LAL(R)', 'LX(L)', '...</td>\n",
       "      <td>['EPA(R)', 'LAL(-GA)(R)', 'LAL(L)', 'LAL(R)', ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>1758962229</td>\n",
       "      <td>404</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>149</td>\n",
       "      <td>196</td>\n",
       "      <td>195</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Orphan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Orphan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'LX(R)': {'pre': 1, 'post': 10, 'downstream':...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['LAL(-GA)(R)', 'LAL(R)', 'LX(R)']</td>\n",
       "      <td>['LAL(-GA)(R)', 'LAL(R)', 'LX(R)']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>546</th>\n",
       "      <td>2254523290</td>\n",
       "      <td>547</td>\n",
       "      <td>2</td>\n",
       "      <td>60</td>\n",
       "      <td>57</td>\n",
       "      <td>227</td>\n",
       "      <td>287</td>\n",
       "      <td>249</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Orphan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Orphan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'VMNP': {'post': 3, 'upstream': 3, 'mito': 2,...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['FLA(R)', 'PENP', 'VES(R)', 'VMNP']</td>\n",
       "      <td>['FLA(R)', 'PENP']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1259</th>\n",
       "      <td>5813016625</td>\n",
       "      <td>1260</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>124</td>\n",
       "      <td>134</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'LX(R)': {'pre': 69, 'post': 28, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(L)', 'EPA...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(L)', 'EPA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1279</th>\n",
       "      <td>5813021122</td>\n",
       "      <td>1280</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>149</td>\n",
       "      <td>196</td>\n",
       "      <td>195</td>\n",
       "      <td>LAL143_R</td>\n",
       "      <td>LAL143</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Traced</td>\n",
       "      <td>PVL15</td>\n",
       "      <td>286.0</td>\n",
       "      <td>[8398, 11040, 15152]</td>\n",
       "      <td>{'VLNP(R)': {'pre': 7, 'post': 592, 'downstrea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['EPA(R)', 'GNG', 'IPS(R)', 'LAL(-GA)(R)', 'LA...</td>\n",
       "      <td>['EPA(R)', 'IPS(R)', 'LAL(-GA)(R)', 'LAL(L)', ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1442</th>\n",
       "      <td>5813076392</td>\n",
       "      <td>1443</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>124</td>\n",
       "      <td>134</td>\n",
       "      <td>PLP187_R</td>\n",
       "      <td>PLP187</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL10</td>\n",
       "      <td>286.0</td>\n",
       "      <td>[1223, 16304, 13128]</td>\n",
       "      <td>{'SNP(R)': {'pre': 8, 'post': 100, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...</td>\n",
       "      <td>['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1508</th>\n",
       "      <td>581440626</td>\n",
       "      <td>1509</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>65</td>\n",
       "      <td>393</td>\n",
       "      <td>593</td>\n",
       "      <td>616</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'pre': 126, 'post': 142, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(L)', 'IB', 'ICL(L)', 'INP', 'SCL(L)', 'S...</td>\n",
       "      <td>['ATL(L)', 'IB', 'ICL(L)', 'INP', 'SCL(L)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1540</th>\n",
       "      <td>5901230025</td>\n",
       "      <td>1541</td>\n",
       "      <td>2</td>\n",
       "      <td>60</td>\n",
       "      <td>57</td>\n",
       "      <td>227</td>\n",
       "      <td>287</td>\n",
       "      <td>249</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Orphan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Orphan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'VMNP': {'pre': 3, 'downstream': 17}, 'VES(R)...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['FLA(R)', 'PENP']</td>\n",
       "      <td>['FLA(R)', 'PENP', 'VES(R)', 'VMNP']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1809</th>\n",
       "      <td>673181026</td>\n",
       "      <td>1810</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>65</td>\n",
       "      <td>435</td>\n",
       "      <td>590</td>\n",
       "      <td>616</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'pre': 58, 'post': 64, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['SIP(L)', 'SMP(L)', 'SNP(L)']</td>\n",
       "      <td>['SIP(L)', 'SMP(L)', 'SNP(L)']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1974</th>\n",
       "      <td>707627039</td>\n",
       "      <td>1975</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>69</td>\n",
       "      <td>463</td>\n",
       "      <td>695</td>\n",
       "      <td>733</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'pre': 3, 'post': 52, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['SMP(L)', 'SNP(L)']</td>\n",
       "      <td>['SMP(L)', 'SNP(L)']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2065</th>\n",
       "      <td>759681018</td>\n",
       "      <td>2066</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>124</td>\n",
       "      <td>134</td>\n",
       "      <td>SMP016_b_R</td>\n",
       "      <td>SMP016_b</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADL08</td>\n",
       "      <td>292.5</td>\n",
       "      <td>[12101, 32431, 17560]</td>\n",
       "      <td>{'SNP(R)': {'pre': 22, 'post': 123, 'downstrea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(L)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE...</td>\n",
       "      <td>['ATL(L)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2263</th>\n",
       "      <td>832646151</td>\n",
       "      <td>2264</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>75</td>\n",
       "      <td>499</td>\n",
       "      <td>596</td>\n",
       "      <td>782</td>\n",
       "      <td>SMP214_R</td>\n",
       "      <td>SMP214</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDL06</td>\n",
       "      <td>261.0</td>\n",
       "      <td>[5943, 19514, 5360]</td>\n",
       "      <td>{'SNP(R)': {'pre': 86, 'post': 134, 'downstrea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'SIP(R)...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2363</th>\n",
       "      <td>894724798</td>\n",
       "      <td>2364</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>75</td>\n",
       "      <td>499</td>\n",
       "      <td>596</td>\n",
       "      <td>782</td>\n",
       "      <td>SMP214_R</td>\n",
       "      <td>SMP214</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDL06</td>\n",
       "      <td>245.0</td>\n",
       "      <td>[5516, 21403, 4592]</td>\n",
       "      <td>{'SNP(R)': {'pre': 52, 'post': 109, 'downstrea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'PLP(R)...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'PLP(R)...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2371</th>\n",
       "      <td>913681721</td>\n",
       "      <td>2372</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>124</td>\n",
       "      <td>134</td>\n",
       "      <td>LHPV3a1_R</td>\n",
       "      <td>LHPV3a1</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL10</td>\n",
       "      <td>211.0</td>\n",
       "      <td>[3011, 16492, 15520]</td>\n",
       "      <td>{'LH(R)': {'pre': 23, 'post': 621, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...</td>\n",
       "      <td>['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2423</th>\n",
       "      <td>926584037</td>\n",
       "      <td>2424</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>69</td>\n",
       "      <td>524</td>\n",
       "      <td>766</td>\n",
       "      <td>810</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'pre': 46, 'post': 21, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id   key  0.0  0.05  0.1  0.5  0.75  1.0     instance  \\\n",
       "51    1036503560    52    2     7   10   31    35   35    LHPV3a1_R   \n",
       "219   1223388206   220    2     7   10   31    35   35  WEDPN17_a_R   \n",
       "229   1232041867   230    2     7   10   31   124  134          NaN   \n",
       "242   1283173461   243    2     7   22  102   130  140      PS127_R   \n",
       "256   1313849992   257    2     7   22  102   130  140      PS098_L   \n",
       "307   1448929584   308    2     7   10   31   124  134          NaN   \n",
       "367   1633078450   368    2     1   29  149   196  195          NaN   \n",
       "403   1758962229   404    2     1   29  149   196  195          NaN   \n",
       "546   2254523290   547    2    60   57  227   287  249          NaN   \n",
       "1259  5813016625  1260    2     7   10   31   124  134          NaN   \n",
       "1279  5813021122  1280    2     1   29  149   196  195     LAL143_R   \n",
       "1442  5813076392  1443    2     7   10   31   124  134     PLP187_R   \n",
       "1508   581440626  1509    4    15   65  393   593  616          NaN   \n",
       "1540  5901230025  1541    2    60   57  227   287  249          NaN   \n",
       "1809   673181026  1810    4    15   65  435   590  616          NaN   \n",
       "1974   707627039  1975    4    15   69  463   695  733          NaN   \n",
       "2065   759681018  2066    2     7   10   31   124  134   SMP016_b_R   \n",
       "2263   832646151  2264    2     8   75  499   596  782     SMP214_R   \n",
       "2363   894724798  2364    2     8   75  499   596  782     SMP214_R   \n",
       "2371   913681721  2372    2     7   10   31   124  134    LHPV3a1_R   \n",
       "2423   926584037  2424    4    15   69  524   766  810          NaN   \n",
       "\n",
       "       celltype  ...  status  cropped     statusLabel  cellBodyFiber  \\\n",
       "51      LHPV3a1  ...  Traced    False  Roughly traced          PVL10   \n",
       "219   WEDPN17_a  ...  Traced    False  Roughly traced          AVL09   \n",
       "229         NaN  ...  Traced     True          Leaves            NaN   \n",
       "242       PS127  ...  Traced    False  Roughly traced          PDM17   \n",
       "256       PS098  ...  Traced    False  Roughly traced          AVM19   \n",
       "307         NaN  ...  Traced     True          Leaves            NaN   \n",
       "367         NaN  ...  Traced     True          Leaves            NaN   \n",
       "403         NaN  ...  Orphan      NaN          Orphan            NaN   \n",
       "546         NaN  ...  Orphan      NaN          Orphan            NaN   \n",
       "1259        NaN  ...  Traced     True          Leaves            NaN   \n",
       "1279     LAL143  ...  Traced    False          Traced          PVL15   \n",
       "1442     PLP187  ...  Traced    False  Roughly traced          PVL10   \n",
       "1508        NaN  ...  Traced     True          Leaves            NaN   \n",
       "1540        NaN  ...  Orphan      NaN          Orphan            NaN   \n",
       "1809        NaN  ...  Traced     True          Leaves            NaN   \n",
       "1974        NaN  ...  Traced     True          Leaves            NaN   \n",
       "2065   SMP016_b  ...  Traced    False  Roughly traced          ADL08   \n",
       "2263     SMP214  ...  Traced    False  Roughly traced          PDL06   \n",
       "2363     SMP214  ...  Traced    False  Roughly traced          PDL06   \n",
       "2371    LHPV3a1  ...  Traced    False  Roughly traced          PVL10   \n",
       "2423        NaN  ...  Traced     True          Leaves            NaN   \n",
       "\n",
       "      somaRadius           somaLocation  \\\n",
       "51         286.0   [2035, 16392, 14088]   \n",
       "219          NaN                    NaN   \n",
       "229          NaN                    NaN   \n",
       "242        301.0  [25778, 15112, 15296]   \n",
       "256        334.0  [25538, 32016, 17080]   \n",
       "307          NaN                    NaN   \n",
       "367          NaN                    NaN   \n",
       "403          NaN                    NaN   \n",
       "546          NaN                    NaN   \n",
       "1259         NaN                    NaN   \n",
       "1279       286.0   [8398, 11040, 15152]   \n",
       "1442       286.0   [1223, 16304, 13128]   \n",
       "1508         NaN                    NaN   \n",
       "1540         NaN                    NaN   \n",
       "1809         NaN                    NaN   \n",
       "1974         NaN                    NaN   \n",
       "2065       292.5  [12101, 32431, 17560]   \n",
       "2263       261.0    [5943, 19514, 5360]   \n",
       "2363       245.0    [5516, 21403, 4592]   \n",
       "2371       211.0   [3011, 16492, 15520]   \n",
       "2423         NaN                    NaN   \n",
       "\n",
       "                                                roiInfo notes  \\\n",
       "51    {'SNP(R)': {'post': 3, 'upstream': 3}, 'SLP(R)...   NaN   \n",
       "219   {'VLNP(R)': {'pre': 244, 'post': 127, 'downstr...   NaN   \n",
       "229   {'INP': {'pre': 6, 'post': 16, 'downstream': 7...   NaN   \n",
       "242   {'INP': {'pre': 374, 'post': 368, 'downstream'...   NaN   \n",
       "256   {'INP': {'pre': 267, 'post': 144, 'downstream'...   NaN   \n",
       "307   {'INP': {'pre': 10, 'post': 7, 'downstream': 7...   NaN   \n",
       "367   {'LX(R)': {'pre': 165, 'post': 63, 'downstream...   NaN   \n",
       "403   {'LX(R)': {'pre': 1, 'post': 10, 'downstream':...   NaN   \n",
       "546   {'VMNP': {'post': 3, 'upstream': 3, 'mito': 2,...   NaN   \n",
       "1259  {'LX(R)': {'pre': 69, 'post': 28, 'downstream'...   NaN   \n",
       "1279  {'VLNP(R)': {'pre': 7, 'post': 592, 'downstrea...   NaN   \n",
       "1442  {'SNP(R)': {'pre': 8, 'post': 100, 'downstream...   NaN   \n",
       "1508  {'SNP(L)': {'pre': 126, 'post': 142, 'downstre...   NaN   \n",
       "1540  {'VMNP': {'pre': 3, 'downstream': 17}, 'VES(R)...   NaN   \n",
       "1809  {'SNP(L)': {'pre': 58, 'post': 64, 'downstream...   NaN   \n",
       "1974  {'SNP(L)': {'pre': 3, 'post': 52, 'downstream'...   NaN   \n",
       "2065  {'SNP(R)': {'pre': 22, 'post': 123, 'downstrea...   NaN   \n",
       "2263  {'SNP(R)': {'pre': 86, 'post': 134, 'downstrea...   NaN   \n",
       "2363  {'SNP(R)': {'pre': 52, 'post': 109, 'downstrea...   NaN   \n",
       "2371  {'LH(R)': {'pre': 23, 'post': 621, 'downstream...   NaN   \n",
       "2423  {'SNP(L)': {'pre': 46, 'post': 21, 'downstream...   NaN   \n",
       "\n",
       "                                              inputRois  \\\n",
       "51    ['AVLP(R)', 'EPA(L)', 'EPA(R)', 'GC', 'INP', '...   \n",
       "219   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...   \n",
       "229   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(L)', 'EPA...   \n",
       "242   ['IB', 'ICL(R)', 'INP', 'IPS(R)', 'LAL(-GA)(R)...   \n",
       "256   ['EPA(R)', 'IB', 'ICL(R)', 'INP', 'IPS(R)', 'P...   \n",
       "307   ['EPA(L)', 'EPA(R)', 'GC', 'ICL(R)', 'INP', 'L...   \n",
       "367   ['LAL(-GA)(R)', 'LAL(L)', 'LAL(R)', 'LX(L)', '...   \n",
       "403                  ['LAL(-GA)(R)', 'LAL(R)', 'LX(R)']   \n",
       "546                ['FLA(R)', 'PENP', 'VES(R)', 'VMNP']   \n",
       "1259  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(L)', 'EPA...   \n",
       "1279  ['EPA(R)', 'GNG', 'IPS(R)', 'LAL(-GA)(R)', 'LA...   \n",
       "1442  ['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...   \n",
       "1508  ['ATL(L)', 'IB', 'ICL(L)', 'INP', 'SCL(L)', 'S...   \n",
       "1540                                 ['FLA(R)', 'PENP']   \n",
       "1809                     ['SIP(L)', 'SMP(L)', 'SNP(L)']   \n",
       "1974                               ['SMP(L)', 'SNP(L)']   \n",
       "2065  ['ATL(L)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE...   \n",
       "2263  ['ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP...   \n",
       "2363  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'PLP(R)...   \n",
       "2371  ['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...   \n",
       "2423  ['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...   \n",
       "\n",
       "                                             outputRois  \n",
       "51    ['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...  \n",
       "219   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...  \n",
       "229   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...  \n",
       "242   ['IB', 'ICL(R)', 'INP', 'IPS(R)', 'PLP(R)', 'S...  \n",
       "256   ['EPA(R)', 'IB', 'ICL(R)', 'INP', 'PLP(R)', 'S...  \n",
       "307   ['EPA(L)', 'EPA(R)', 'GC', 'ICL(R)', 'INP', 'L...  \n",
       "367   ['EPA(R)', 'LAL(-GA)(R)', 'LAL(L)', 'LAL(R)', ...  \n",
       "403                  ['LAL(-GA)(R)', 'LAL(R)', 'LX(R)']  \n",
       "546                                  ['FLA(R)', 'PENP']  \n",
       "1259  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(L)', 'EPA...  \n",
       "1279  ['EPA(R)', 'IPS(R)', 'LAL(-GA)(R)', 'LAL(L)', ...  \n",
       "1442  ['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...  \n",
       "1508  ['ATL(L)', 'IB', 'ICL(L)', 'INP', 'SCL(L)', 'S...  \n",
       "1540               ['FLA(R)', 'PENP', 'VES(R)', 'VMNP']  \n",
       "1809                     ['SIP(L)', 'SMP(L)', 'SNP(L)']  \n",
       "1974                               ['SMP(L)', 'SNP(L)']  \n",
       "2065  ['ATL(L)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE...  \n",
       "2263  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'SIP(R)...  \n",
       "2363  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'PLP(R)...  \n",
       "2371  ['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...  \n",
       "2423  ['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...  \n",
       "\n",
       "[21 rows x 26 columns]"
      ]
     },
     "execution_count": 339,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create an empty list to store the module ids of the riders\n",
    "ride_or_die_modules = []\n",
    "\n",
    "for i in module_ids:\n",
    "    # grab the rows that have the module id\n",
    "    test_mod = test[test[max_res]==i]\n",
    "\n",
    "    # first test whether there is more than one row since singletons won't count\n",
    "    if test_mod.shape[0] > 1:\n",
    "\n",
    "        # tests for number of unique rows\n",
    "        if test_mod.drop_duplicates().shape[0] == 1:\n",
    "            # if all rows are duplicates of each other, then append the module id to the list\n",
    "            ride_or_die_modules.append(i)\n",
    "\n",
    "# retrieve the rows of the original dataframe that have ride or die modules\n",
    "ride_or_die_df = ovi_in_node_df[ovi_in_node_df[max_res].isin(ride_or_die_modules)]\n",
    "ride_or_die_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[10, 22, 29, 57, 65, 69, 75]"
      ]
     },
     "execution_count": 340,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ride_or_die_modules"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make a Sankey."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "link": {
          "source": [
           0,
           0,
           0,
           0,
           1,
           5,
           5,
           3,
           4,
           2,
           2,
           6,
           7,
           8,
           9,
           10,
           11,
           11,
           12,
           12,
           13,
           15,
           16,
           17,
           14,
           14,
           18,
           19,
           20,
           21,
           22,
           24,
           25,
           26,
           27,
           23,
           29,
           28,
           31,
           30,
           32
          ],
          "target": [
           3,
           4,
           2,
           6,
           5,
           11,
           12,
           9,
           10,
           7,
           8,
           13,
           14,
           15,
           16,
           17,
           18,
           19,
           20,
           22,
           21,
           25,
           26,
           27,
           24,
           23,
           28,
           29,
           30,
           31,
           32,
           34,
           35,
           36,
           37,
           33,
           38,
           38,
           40,
           39,
           41
          ],
          "value": [
           3,
           2,
           10,
           2,
           4,
           2,
           2,
           3,
           2,
           8,
           2,
           2,
           8,
           2,
           3,
           2,
           1,
           1,
           1,
           1,
           2,
           2,
           3,
           2,
           6,
           2,
           1,
           1,
           1,
           2,
           1,
           6,
           2,
           3,
           2,
           2,
           1,
           1,
           2,
           1,
           1
          ]
         },
         "node": {
          "label": [
           "2_r0.0",
           "4_r0.0",
           "7_r0.05",
           "1_r0.05",
           "60_r0.05",
           "15_r0.05",
           "8_r0.05",
           "10_r0.1",
           "22_r0.1",
           "29_r0.1",
           "57_r0.1",
           "65_r0.1",
           "69_r0.1",
           "75_r0.1",
           "31_r0.5",
           "102_r0.5",
           "149_r0.5",
           "227_r0.5",
           "393_r0.5",
           "435_r0.5",
           "463_r0.5",
           "499_r0.5",
           "524_r0.5",
           "35_r0.75",
           "124_r0.75",
           "130_r0.75",
           "196_r0.75",
           "287_r0.75",
           "593_r0.75",
           "590_r0.75",
           "695_r0.75",
           "596_r0.75",
           "766_r0.75",
           "35_r1.0",
           "134_r1.0",
           "140_r1.0",
           "195_r1.0",
           "249_r1.0",
           "616_r1.0",
           "733_r1.0",
           "782_r1.0",
           "810_r1.0"
          ],
          "pad": 15,
          "thickness": 20
         },
         "type": "sankey"
        }
       ],
       "layout": {
        "height": 1000,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "ride or die: 0.1 max res"
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# take only the columns with modularity data\n",
    "ovi_HB_chunk = ride_or_die_df[['0.0','0.05','0.1','0.5','0.75','1.0']].copy()\n",
    "\n",
    "create_Sankey(ovi_HB_chunk,'ride or die: 0.1 max res')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interestingly, only stuff from coarse clusters 2 and 4 survived. I would've expected something from coarse cluster 3 to pull through but looking at cluster 2 from the 0.1 resolution, most of the stuff in there rides together but it only takes a few errant nodes to contaminate the entire module. This makes me wonder whether chosing a finer maximum resolution might actually retain more stuff."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 332,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2487</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2488</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2490</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2491</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2495</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>171 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      0.0  0.05  0.1\n",
       "4       3     2    2\n",
       "7       3     2    2\n",
       "8       3     2    2\n",
       "9       3     2    2\n",
       "12      3     2    2\n",
       "...   ...   ...  ...\n",
       "2487    3     2    2\n",
       "2488    3     2    2\n",
       "2490    3     2    2\n",
       "2491    3     2    2\n",
       "2495    3     2    2\n",
       "\n",
       "[171 rows x 3 columns]"
      ]
     },
     "execution_count": 332,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# test\n",
    "test = ovi_in_node_df[['0.0','0.05','0.1']].copy()\n",
    "test = test[test[max_res]==2]\n",
    "test "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 333,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.drop_duplicates().shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using a finer maximum resolution.\n",
    "\n",
    "# Ride or die from 1.0 max res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 370,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the max res to use\n",
    "max_res = '1.0'\n",
    "\n",
    "# the df to use since we don't need body ids\n",
    "test = ovi_in_node_df[['0.0','0.05','0.1','0.5','0.75','1.0']].copy()\n",
    "\n",
    "# get a list of module ids\n",
    "module_ids = test[max_res].unique().tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 371,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1008024276</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>FB5N_R</td>\n",
       "      <td>FB5N</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM08</td>\n",
       "      <td>472.5</td>\n",
       "      <td>[19178, 29711, 37312]</td>\n",
       "      <td>{'SNP(L)': {'post': 5, 'upstream': 5, 'mito': ...</td>\n",
       "      <td>SMPCREFB5_4</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1008085163</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'pre': 10, 'post': 9, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']</td>\n",
       "      <td>['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1008102479</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>(PVM01)_L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'post': 4, 'upstream': 4, 'mito': ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['EPA(L)', 'GOR(L)', 'ICL(L)', 'INP', 'SCL(L)'...</td>\n",
       "      <td>['GC', 'INP', 'SCL(L)', 'SPS(L)', 'SPS(R)', 'V...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1008369339</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>FS1B(FQ9)_C6_R</td>\n",
       "      <td>FS1B</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM02</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[22606, 16349, 10032]</td>\n",
       "      <td>{'SNP(L)': {'pre': 43, 'post': 24, 'downstream...</td>\n",
       "      <td>FB25SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1008391068</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>FC2B(FQ7)_C6_L</td>\n",
       "      <td>FC2B</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>325.5</td>\n",
       "      <td>[29681, 16321, 7328]</td>\n",
       "      <td>{'CX': {'pre': 167, 'post': 2135, 'downstream'...</td>\n",
       "      <td>FB1d356CRE</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2491</th>\n",
       "      <td>983430664</td>\n",
       "      <td>2492</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C3_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[16993, 11130, 15072]</td>\n",
       "      <td>{'SNP(R)': {'pre': 37, 'post': 32, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2495</th>\n",
       "      <td>983767602</td>\n",
       "      <td>2496</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1B(FQ9)_C2_L</td>\n",
       "      <td>FS1B</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[27031, 16664, 12416]</td>\n",
       "      <td>{'SNP(R)': {'pre': 62, 'post': 30, 'downstream...</td>\n",
       "      <td>FB25SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2503</th>\n",
       "      <td>986098785</td>\n",
       "      <td>2504</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>427</td>\n",
       "      <td>644</td>\n",
       "      <td>676</td>\n",
       "      <td>AOTU008_a_R</td>\n",
       "      <td>AOTU008_a</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADL08</td>\n",
       "      <td>258.5</td>\n",
       "      <td>[10014, 33018, 17344]</td>\n",
       "      <td>{'SNP(R)': {'pre': 111, 'post': 179, 'downstre...</td>\n",
       "      <td>aSP11b candidates</td>\n",
       "      <td>['AOTU(R)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CR...</td>\n",
       "      <td>['AOTU(R)', 'ATL(R)', 'IB', 'INP', 'MB(+ACA)(R...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2505</th>\n",
       "      <td>987117151</td>\n",
       "      <td>2506</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>53</td>\n",
       "      <td>63</td>\n",
       "      <td>68</td>\n",
       "      <td>LAL010_R</td>\n",
       "      <td>LAL010</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADM03</td>\n",
       "      <td>292.5</td>\n",
       "      <td>[15520, 32234, 10016]</td>\n",
       "      <td>{'SNP(R)': {'pre': 2, 'post': 82, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2506</th>\n",
       "      <td>987273073</td>\n",
       "      <td>2507</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>409</td>\n",
       "      <td>604</td>\n",
       "      <td>629</td>\n",
       "      <td>(PVL05)_L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 65, 'post': 52, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>706 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id   key  0.0  0.05  0.1  0.5  0.75  1.0        instance  \\\n",
       "4     1008024276     5    3     2    2    5     5    5          FB5N_R   \n",
       "5     1008085163     6    1     1    1    6     6    6             NaN   \n",
       "6     1008102479     7    2     1    1    7     7    7       (PVM01)_L   \n",
       "7     1008369339     8    3     2    2    5     5    8  FS1B(FQ9)_C6_R   \n",
       "8     1008391068     9    3     2    2    5     5    5  FC2B(FQ7)_C6_L   \n",
       "...          ...   ...  ...   ...  ...  ...   ...  ...             ...   \n",
       "2491   983430664  2492    3     2    2    5     5   20  FS1A(FQ9)_C3_R   \n",
       "2495   983767602  2496    3     2    2    5     5   20  FS1B(FQ9)_C2_L   \n",
       "2503   986098785  2504    2     1    6  427   644  676     AOTU008_a_R   \n",
       "2505   987117151  2506    2     7    7   53    63   68        LAL010_R   \n",
       "2506   987273073  2507    3     8    8  409   604  629       (PVL05)_L   \n",
       "\n",
       "       celltype  ...  status  cropped     statusLabel  cellBodyFiber  \\\n",
       "4          FB5N  ...  Traced    False  Roughly traced          AVM08   \n",
       "5           NaN  ...  Traced     True          Leaves            NaN   \n",
       "6           NaN  ...  Traced    False  Roughly traced            NaN   \n",
       "7          FS1B  ...  Traced    False  Roughly traced          PDM02   \n",
       "8          FC2B  ...  Traced    False  Roughly traced          PDM03   \n",
       "...         ...  ...     ...      ...             ...            ...   \n",
       "2491       FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "2495       FS1B  ...  Traced    False  Roughly traced          PDM01   \n",
       "2503  AOTU008_a  ...  Traced    False  Roughly traced          ADL08   \n",
       "2505     LAL010  ...  Traced    False  Roughly traced          ADM03   \n",
       "2506        NaN  ...  Traced    False  Roughly traced            NaN   \n",
       "\n",
       "      somaRadius           somaLocation  \\\n",
       "4          472.5  [19178, 29711, 37312]   \n",
       "5            NaN                    NaN   \n",
       "6            NaN                    NaN   \n",
       "7          301.0  [22606, 16349, 10032]   \n",
       "8          325.5   [29681, 16321, 7328]   \n",
       "...          ...                    ...   \n",
       "2491       236.0  [16993, 11130, 15072]   \n",
       "2495       301.0  [27031, 16664, 12416]   \n",
       "2503       258.5  [10014, 33018, 17344]   \n",
       "2505       292.5  [15520, 32234, 10016]   \n",
       "2506         NaN                    NaN   \n",
       "\n",
       "                                                roiInfo              notes  \\\n",
       "4     {'SNP(L)': {'post': 5, 'upstream': 5, 'mito': ...        SMPCREFB5_4   \n",
       "5     {'SNP(L)': {'pre': 10, 'post': 9, 'downstream'...                NaN   \n",
       "6     {'SNP(L)': {'post': 4, 'upstream': 4, 'mito': ...                NaN   \n",
       "7     {'SNP(L)': {'pre': 43, 'post': 24, 'downstream...         FB25SMPSMP   \n",
       "8     {'CX': {'pre': 167, 'post': 2135, 'downstream'...         FB1d356CRE   \n",
       "...                                                 ...                ...   \n",
       "2491  {'SNP(R)': {'pre': 37, 'post': 32, 'downstream...        FB2-6SMPSMP   \n",
       "2495  {'SNP(R)': {'pre': 62, 'post': 30, 'downstream...         FB25SMPSMP   \n",
       "2503  {'SNP(R)': {'pre': 111, 'post': 179, 'downstre...  aSP11b candidates   \n",
       "2505  {'SNP(R)': {'pre': 2, 'post': 82, 'downstream'...                NaN   \n",
       "2506  {'SNP(R)': {'pre': 65, 'post': 52, 'downstream...                NaN   \n",
       "\n",
       "                                              inputRois  \\\n",
       "4     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "5           ['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']   \n",
       "6     ['EPA(L)', 'GOR(L)', 'ICL(L)', 'INP', 'SCL(L)'...   \n",
       "7     ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...   \n",
       "8     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "...                                                 ...   \n",
       "2491  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2495  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2503  ['AOTU(R)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CR...   \n",
       "2505  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...   \n",
       "2506  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "\n",
       "                                             outputRois  \n",
       "4     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "5           ['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']  \n",
       "6     ['GC', 'INP', 'SCL(L)', 'SPS(L)', 'SPS(R)', 'V...  \n",
       "7     ['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...  \n",
       "8     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "...                                                 ...  \n",
       "2491  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2495  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2503  ['AOTU(R)', 'ATL(R)', 'IB', 'INP', 'MB(+ACA)(R...  \n",
       "2505  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...  \n",
       "2506  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "\n",
       "[706 rows x 26 columns]"
      ]
     },
     "execution_count": 371,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create an empty list to store the module ids of the riders\n",
    "ride_or_die_modules = []\n",
    "\n",
    "for i in module_ids:\n",
    "    # grab the rows that have the module id\n",
    "    test_mod = test[test[max_res]==i]\n",
    "\n",
    "    # first test whether there is more than one row since singletons won't count\n",
    "    if test_mod.shape[0] > 1:\n",
    "\n",
    "        # tests for number of unique rows\n",
    "        if test_mod.drop_duplicates().shape[0] == 1:\n",
    "            # if all rows are duplicates of each other, then append the module id to the list\n",
    "            ride_or_die_modules.append(i)\n",
    "\n",
    "# retrieve the rows of the original dataframe that have ride or die modules\n",
    "ride_or_die_df = ovi_in_node_df[ovi_in_node_df[max_res].isin(ride_or_die_modules)]\n",
    "ride_or_die_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make a Sankey."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "link": {
          "source": [
           1,
           1,
           1,
           2,
           2,
           2,
           2,
           2,
           2,
           0,
           0,
           0,
           4,
           3,
           3,
           9,
           9,
           13,
           13,
           13,
           13,
           6,
           6,
           6,
           6,
           6,
           5,
           5,
           5,
           7,
           7,
           12,
           11,
           8,
           8,
           8,
           10,
           10,
           10,
           18,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           22,
           21,
           25,
           14,
           26,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           27,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           30,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           62,
           144,
           64,
           65,
           66,
           66,
           67,
           34,
           34,
           34,
           68,
           79,
           135,
           187,
           70,
           71,
           72,
           50,
           50,
           50,
           50,
           73,
           74,
           75,
           76,
           77,
           78,
           56,
           56,
           35,
           35,
           35,
           35,
           80,
           81,
           141,
           88,
           82,
           83,
           85,
           36,
           84,
           86,
           63,
           63,
           87,
           69,
           89,
           90,
           91,
           120,
           120,
           96,
           92,
           92,
           92,
           93,
           129,
           129,
           126,
           109,
           109,
           109,
           94,
           94,
           94,
           95,
           97,
           106,
           99,
           98,
           104,
           100,
           132,
           101,
           102,
           102,
           125,
           103,
           105,
           127,
           127,
           127,
           166,
           107,
           108,
           108,
           110,
           111,
           112,
           113,
           114,
           115,
           116,
           117,
           118,
           118,
           145,
           151,
           119,
           121,
           121,
           122,
           37,
           124,
           148,
           148,
           148,
           148,
           128,
           130,
           130,
           156,
           167,
           137,
           137,
           131,
           133,
           186,
           134,
           38,
           136,
           138,
           139,
           154,
           140,
           161,
           155,
           142,
           143,
           146,
           39,
           147,
           150,
           184,
           153,
           157,
           158,
           159,
           171,
           160,
           162,
           163,
           164,
           182,
           165,
           174,
           168,
           169,
           52,
           52,
           170,
           172,
           179,
           173,
           175,
           176,
           181,
           177,
           178,
           180,
           188,
           183,
           185,
           61,
           189,
           152,
           152,
           190,
           191,
           192,
           193,
           40,
           41,
           42,
           43,
           44,
           31,
           31,
           45,
           46,
           47,
           32,
           48,
           49,
           51,
           33,
           149,
           53,
           54,
           55,
           55,
           57,
           123,
           58,
           59,
           60,
           220,
           221,
           222,
           197,
           197,
           197,
           223,
           224,
           225,
           226,
           227,
           228,
           333,
           229,
           230,
           232,
           233,
           234,
           235,
           304,
           236,
           237,
           238,
           320,
           320,
           198,
           239,
           240,
           241,
           242,
           243,
           199,
           244,
           245,
           246,
           247,
           248,
           249,
           250,
           231,
           231,
           251,
           252,
           253,
           254,
           255,
           258,
           256,
           257,
           259,
           260,
           261,
           204,
           262,
           263,
           264,
           265,
           266,
           321,
           306,
           267,
           268,
           269,
           270,
           271,
           272,
           273,
           274,
           274,
           282,
           340,
           275,
           275,
           296,
           296,
           276,
           341,
           315,
           277,
           278,
           279,
           280,
           318,
           281,
           358,
           200,
           283,
           284,
           285,
           286,
           287,
           288,
           289,
           289,
           290,
           291,
           292,
           293,
           303,
           303,
           294,
           201,
           295,
           317,
           202,
           297,
           298,
           299,
           300,
           301,
           334,
           302,
           305,
           307,
           308,
           309,
           310,
           311,
           311,
           311,
           312,
           313,
           314,
           375,
           316,
           319,
           322,
           323,
           324,
           325,
           326,
           327,
           328,
           329,
           330,
           331,
           332,
           350,
           203,
           335,
           336,
           337,
           338,
           339,
           379,
           351,
           342,
           343,
           344,
           345,
           346,
           347,
           348,
           349,
           352,
           388,
           194,
           194,
           194,
           194,
           194,
           194,
           194,
           194,
           194,
           194,
           194,
           194,
           194,
           194,
           194,
           194,
           194,
           194,
           194,
           353,
           354,
           355,
           370,
           356,
           205,
           357,
           367,
           206,
           359,
           207,
           360,
           361,
           362,
           363,
           364,
           365,
           373,
           366,
           368,
           369,
           371,
           208,
           372,
           374,
           376,
           377,
           195,
           378,
           380,
           381,
           209,
           209,
           382,
           384,
           210,
           383,
           385,
           386,
           387,
           389,
           390,
           211,
           211,
           211,
           212,
           212,
           213,
           196,
           214,
           215,
           216,
           217,
           218,
           219,
           219,
           219
          ],
          "target": [
           9,
           6,
           5,
           9,
           6,
           7,
           11,
           8,
           10,
           5,
           7,
           10,
           13,
           9,
           12,
           20,
           24,
           29,
           15,
           16,
           23,
           15,
           22,
           25,
           26,
           24,
           14,
           16,
           24,
           17,
           19,
           28,
           27,
           18,
           21,
           19,
           28,
           30,
           23,
           37,
           187,
           132,
           127,
           108,
           111,
           112,
           148,
           130,
           131,
           133,
           186,
           138,
           159,
           171,
           160,
           162,
           169,
           170,
           172,
           179,
           173,
           177,
           185,
           149,
           109,
           98,
           100,
           101,
           166,
           117,
           161,
           153,
           174,
           43,
           68,
           79,
           71,
           50,
           73,
           74,
           78,
           56,
           81,
           82,
           83,
           85,
           84,
           86,
           87,
           89,
           90,
           39,
           157,
           193,
           44,
           46,
           32,
           49,
           33,
           54,
           55,
           57,
           96,
           92,
           126,
           94,
           95,
           97,
           106,
           102,
           110,
           115,
           118,
           119,
           121,
           137,
           143,
           123,
           65,
           64,
           77,
           31,
           88,
           34,
           120,
           99,
           104,
           103,
           105,
           107,
           114,
           145,
           135,
           70,
           35,
           36,
           151,
           122,
           134,
           38,
           136,
           140,
           155,
           146,
           147,
           165,
           61,
           48,
           53,
           91,
           76,
           56,
           80,
           141,
           93,
           129,
           116,
           156,
           167,
           150,
           158,
           164,
           168,
           178,
           152,
           191,
           62,
           144,
           66,
           72,
           75,
           63,
           69,
           52,
           189,
           192,
           40,
           41,
           42,
           45,
           47,
           51,
           58,
           59,
           60,
           67,
           125,
           113,
           124,
           128,
           139,
           154,
           142,
           184,
           163,
           182,
           175,
           176,
           181,
           180,
           188,
           183,
           190,
           230,
           333,
           232,
           233,
           234,
           244,
           235,
           197,
           321,
           209,
           236,
           250,
           320,
           383,
           239,
           240,
           241,
           237,
           251,
           257,
           217,
           243,
           245,
           246,
           247,
           248,
           249,
           223,
           360,
           198,
           204,
           325,
           203,
           252,
           253,
           330,
           261,
           254,
           255,
           258,
           199,
           256,
           259,
           231,
           385,
           260,
           238,
           262,
           263,
           264,
           318,
           299,
           269,
           265,
           273,
           283,
           266,
           309,
           314,
           306,
           296,
           286,
           303,
           267,
           270,
           272,
           268,
           271,
           282,
           275,
           274,
           280,
           276,
           315,
           277,
           278,
           298,
           305,
           279,
           281,
           307,
           329,
           357,
           358,
           284,
           285,
           317,
           287,
           288,
           289,
           290,
           291,
           292,
           293,
           294,
           295,
           312,
           334,
           340,
           297,
           300,
           350,
           301,
           200,
           304,
           337,
           370,
           374,
           381,
           308,
           310,
           311,
           346,
           359,
           323,
           328,
           313,
           316,
           382,
           319,
           201,
           322,
           324,
           326,
           344,
           327,
           352,
           345,
           331,
           332,
           335,
           202,
           336,
           339,
           379,
           343,
           347,
           348,
           349,
           364,
           351,
           353,
           354,
           355,
           377,
           356,
           367,
           361,
           362,
           242,
           219,
           363,
           365,
           373,
           366,
           368,
           369,
           376,
           371,
           372,
           375,
           384,
           378,
           380,
           229,
           386,
           341,
           342,
           387,
           388,
           389,
           390,
           205,
           206,
           207,
           208,
           210,
           194,
           212,
           211,
           213,
           214,
           195,
           215,
           216,
           218,
           196,
           338,
           220,
           221,
           222,
           228,
           224,
           302,
           225,
           226,
           227,
           436,
           437,
           438,
           397,
           407,
           421,
           440,
           441,
           442,
           443,
           444,
           445,
           559,
           447,
           448,
           450,
           451,
           453,
           454,
           527,
           455,
           456,
           457,
           544,
           578,
           398,
           459,
           460,
           461,
           462,
           463,
           399,
           464,
           465,
           466,
           467,
           468,
           470,
           471,
           449,
           568,
           472,
           473,
           474,
           475,
           476,
           479,
           477,
           478,
           480,
           481,
           482,
           413,
           483,
           484,
           485,
           486,
           487,
           545,
           529,
           488,
           489,
           490,
           491,
           492,
           493,
           494,
           495,
           515,
           504,
           566,
           496,
           502,
           519,
           547,
           497,
           567,
           538,
           498,
           499,
           500,
           501,
           542,
           503,
           587,
           404,
           505,
           506,
           507,
           508,
           509,
           510,
           511,
           572,
           512,
           513,
           514,
           516,
           526,
           552,
           517,
           408,
           518,
           541,
           409,
           520,
           521,
           522,
           523,
           524,
           560,
           525,
           528,
           530,
           531,
           532,
           533,
           534,
           539,
           593,
           535,
           536,
           537,
           605,
           540,
           543,
           546,
           548,
           549,
           550,
           551,
           553,
           554,
           555,
           556,
           557,
           558,
           579,
           412,
           561,
           562,
           563,
           564,
           565,
           609,
           580,
           569,
           570,
           571,
           573,
           574,
           575,
           576,
           577,
           581,
           618,
           396,
           446,
           452,
           400,
           401,
           402,
           403,
           405,
           406,
           410,
           411,
           391,
           417,
           419,
           621,
           622,
           423,
           394,
           395,
           582,
           583,
           584,
           600,
           585,
           414,
           586,
           597,
           415,
           588,
           416,
           589,
           590,
           591,
           592,
           594,
           595,
           603,
           596,
           598,
           599,
           601,
           418,
           602,
           604,
           606,
           607,
           392,
           608,
           610,
           611,
           420,
           432,
           612,
           614,
           422,
           613,
           615,
           616,
           617,
           619,
           620,
           434,
           458,
           424,
           425,
           430,
           426,
           393,
           427,
           428,
           429,
           431,
           433,
           435,
           439,
           469
          ],
          "value": [
           89,
           13,
           10,
           2,
           90,
           46,
           2,
           85,
           2,
           150,
           8,
           44,
           95,
           2,
           68,
           68,
           25,
           89,
           2,
           2,
           2,
           79,
           3,
           3,
           2,
           16,
           119,
           39,
           2,
           50,
           4,
           68,
           2,
           2,
           2,
           81,
           2,
           2,
           42,
           2,
           2,
           5,
           9,
           6,
           2,
           4,
           9,
           9,
           4,
           2,
           2,
           2,
           2,
           7,
           2,
           3,
           2,
           2,
           2,
           4,
           2,
           2,
           3,
           2,
           21,
           24,
           3,
           2,
           5,
           2,
           4,
           2,
           2,
           3,
           2,
           2,
           2,
           13,
           2,
           2,
           3,
           2,
           3,
           3,
           2,
           3,
           3,
           2,
           2,
           2,
           4,
           4,
           2,
           2,
           2,
           2,
           5,
           2,
           2,
           2,
           4,
           2,
           2,
           7,
           3,
           12,
           2,
           3,
           4,
           10,
           2,
           3,
           4,
           2,
           7,
           5,
           2,
           2,
           3,
           2,
           3,
           119,
           2,
           16,
           4,
           5,
           2,
           3,
           2,
           4,
           2,
           3,
           4,
           2,
           9,
           3,
           2,
           3,
           2,
           2,
           2,
           2,
           2,
           2,
           4,
           4,
           2,
           3,
           2,
           2,
           2,
           3,
           2,
           2,
           2,
           8,
           4,
           2,
           2,
           2,
           2,
           2,
           2,
           3,
           5,
           2,
           2,
           3,
           4,
           2,
           2,
           17,
           2,
           13,
           2,
           2,
           3,
           2,
           4,
           7,
           2,
           5,
           2,
           9,
           2,
           2,
           3,
           5,
           2,
           5,
           2,
           2,
           2,
           3,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           3,
           2,
           3,
           2,
           2,
           2,
           7,
           2,
           7,
           2,
           2,
           4,
           2,
           2,
           2,
           2,
           4,
           2,
           3,
           4,
           2,
           2,
           2,
           2,
           3,
           3,
           2,
           3,
           2,
           2,
           3,
           2,
           2,
           3,
           2,
           2,
           3,
           2,
           3,
           3,
           3,
           2,
           14,
           3,
           2,
           2,
           2,
           4,
           2,
           2,
           2,
           2,
           2,
           2,
           3,
           2,
           4,
           4,
           3,
           5,
           4,
           12,
           5,
           4,
           3,
           2,
           3,
           4,
           5,
           24,
           2,
           3,
           5,
           2,
           3,
           7,
           3,
           3,
           2,
           3,
           3,
           3,
           5,
           4,
           2,
           4,
           2,
           2,
           4,
           5,
           2,
           3,
           4,
           2,
           2,
           2,
           3,
           2,
           2,
           3,
           4,
           3,
           2,
           2,
           2,
           3,
           2,
           2,
           5,
           2,
           7,
           2,
           2,
           3,
           2,
           4,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           4,
           2,
           2,
           2,
           2,
           4,
           4,
           2,
           3,
           2,
           2,
           2,
           2,
           7,
           2,
           3,
           2,
           2,
           2,
           4,
           2,
           2,
           2,
           2,
           11,
           2,
           2,
           4,
           2,
           2,
           2,
           2,
           2,
           3,
           2,
           2,
           2,
           3,
           2,
           2,
           3,
           2,
           2,
           2,
           2,
           2,
           3,
           2,
           4,
           3,
           2,
           113,
           6,
           7,
           2,
           2,
           5,
           3,
           2,
           5,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           9,
           2,
           2,
           2,
           2,
           2,
           3,
           2,
           2,
           2,
           2,
           9,
           2,
           2,
           3,
           2,
           2,
           2,
           3,
           2,
           2,
           2,
           2,
           4,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           3,
           2,
           2,
           2,
           2,
           3,
           3,
           2,
           11,
           3,
           2,
           2,
           3,
           3,
           2,
           3,
           3,
           3,
           2,
           2,
           2,
           2,
           2,
           4,
           2,
           2,
           2,
           2,
           3,
           5,
           2,
           2,
           4,
           3,
           3,
           2,
           11,
           13,
           4,
           2,
           2,
           3,
           3,
           2,
           3,
           3,
           5,
           2,
           3,
           3,
           2,
           2,
           2,
           5,
           2,
           3,
           4,
           2,
           4,
           2,
           2,
           2,
           2,
           5,
           2,
           3,
           4,
           9,
           3,
           2,
           2,
           2,
           4,
           4,
           2,
           7,
           2,
           3,
           3,
           3,
           2,
           3,
           3,
           5,
           4,
           2,
           2,
           3,
           2,
           2,
           4,
           4,
           2,
           2,
           2,
           2,
           3,
           2,
           3,
           2,
           2,
           2,
           3,
           2,
           2,
           2,
           4,
           2,
           2,
           4,
           2,
           2,
           2,
           3,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           4,
           2,
           2,
           2,
           2,
           28,
           2,
           3,
           2,
           2,
           3,
           3,
           8,
           18,
           5,
           10,
           4,
           2,
           3,
           6,
           8,
           3,
           2,
           2,
           3,
           4,
           3,
           3,
           2,
           2,
           2,
           4,
           3,
           2,
           2,
           2,
           7,
           2,
           4,
           2,
           2,
           2,
           2,
           3,
           3,
           2,
           2,
           2,
           5,
           2,
           3,
           2,
           4,
           3,
           2,
           2,
           2,
           2,
           3,
           2,
           2,
           2,
           2,
           2,
           3,
           2,
           2,
           4,
           2,
           2,
           2,
           3,
           2,
           4,
           5,
           2,
           2,
           7
          ]
         },
         "node": {
          "label": [
           "3_r0.0",
           "1_r0.0",
           "2_r0.0",
           "5_r0.0",
           "4_r0.0",
           "2_r0.05",
           "1_r0.05",
           "3_r0.05",
           "7_r0.05",
           "13_r0.05",
           "8_r0.05",
           "60_r0.05",
           "5_r0.05",
           "15_r0.05",
           "2_r0.1",
           "1_r0.1",
           "3_r0.1",
           "4_r0.1",
           "10_r0.1",
           "7_r0.1",
           "15_r0.1",
           "22_r0.1",
           "21_r0.1",
           "8_r0.1",
           "6_r0.1",
           "29_r0.1",
           "33_r0.1",
           "57_r0.1",
           "20_r0.1",
           "11_r0.1",
           "75_r0.1",
           "5_r0.5",
           "6_r0.5",
           "7_r0.5",
           "10_r0.5",
           "16_r0.5",
           "18_r0.5",
           "31_r0.5",
           "35_r0.5",
           "37_r0.5",
           "51_r0.5",
           "52_r0.5",
           "53_r0.5",
           "57_r0.5",
           "59_r0.5",
           "61_r0.5",
           "65_r0.5",
           "66_r0.5",
           "71_r0.5",
           "73_r0.5",
           "13_r0.5",
           "76_r0.5",
           "42_r0.5",
           "81_r0.5",
           "82_r0.5",
           "85_r0.5",
           "15_r0.5",
           "8_r0.5",
           "94_r0.5",
           "95_r0.5",
           "96_r0.5",
           "47_r0.5",
           "100_r0.5",
           "20_r0.5",
           "102_r0.5",
           "103_r0.5",
           "107_r0.5",
           "108_r0.5",
           "119_r0.5",
           "21_r0.5",
           "132_r0.5",
           "133_r0.5",
           "134_r0.5",
           "142_r0.5",
           "145_r0.5",
           "147_r0.5",
           "148_r0.5",
           "149_r0.5",
           "158_r0.5",
           "120_r0.5",
           "172_r0.5",
           "176_r0.5",
           "184_r0.5",
           "188_r0.5",
           "199_r0.5",
           "189_r0.5",
           "208_r0.5",
           "214_r0.5",
           "180_r0.5",
           "221_r0.5",
           "224_r0.5",
           "227_r0.5",
           "241_r0.5",
           "245_r0.5",
           "249_r0.5",
           "250_r0.5",
           "240_r0.5",
           "254_r0.5",
           "262_r0.5",
           "257_r0.5",
           "266_r0.5",
           "270_r0.5",
           "271_r0.5",
           "273_r0.5",
           "263_r0.5",
           "275_r0.5",
           "256_r0.5",
           "281_r0.5",
           "283_r0.5",
           "248_r0.5",
           "284_r0.5",
           "289_r0.5",
           "291_r0.5",
           "292_r0.5",
           "293_r0.5",
           "294_r0.5",
           "295_r0.5",
           "297_r0.5",
           "298_r0.5",
           "310_r0.5",
           "238_r0.5",
           "313_r0.5",
           "318_r0.5",
           "90_r0.5",
           "321_r0.5",
           "272_r0.5",
           "247_r0.5",
           "276_r0.5",
           "327_r0.5",
           "246_r0.5",
           "334_r0.5",
           "343_r0.5",
           "269_r0.5",
           "346_r0.5",
           "352_r0.5",
           "124_r0.5",
           "360_r0.5",
           "341_r0.5",
           "361_r0.5",
           "364_r0.5",
           "368_r0.5",
           "178_r0.5",
           "370_r0.5",
           "373_r0.5",
           "101_r0.5",
           "299_r0.5",
           "378_r0.5",
           "383_r0.5",
           "323_r0.5",
           "80_r0.5",
           "387_r0.5",
           "29_r0.5",
           "48_r0.5",
           "390_r0.5",
           "366_r0.5",
           "36_r0.5",
           "338_r0.5",
           "391_r0.5",
           "396_r0.5",
           "397_r0.5",
           "403_r0.5",
           "369_r0.5",
           "406_r0.5",
           "409_r0.5",
           "410_r0.5",
           "414_r0.5",
           "277_r0.5",
           "33_r0.5",
           "427_r0.5",
           "429_r0.5",
           "430_r0.5",
           "401_r0.5",
           "439_r0.5",
           "444_r0.5",
           "417_r0.5",
           "445_r0.5",
           "446_r0.5",
           "448_r0.5",
           "449_r0.5",
           "440_r0.5",
           "460_r0.5",
           "447_r0.5",
           "413_r0.5",
           "470_r0.5",
           "388_r0.5",
           "474_r0.5",
           "347_r0.5",
           "126_r0.5",
           "464_r0.5",
           "485_r0.5",
           "493_r0.5",
           "499_r0.5",
           "500_r0.5",
           "508_r0.5",
           "5_r0.75",
           "6_r0.75",
           "7_r0.75",
           "10_r0.75",
           "16_r0.75",
           "18_r0.75",
           "35_r0.75",
           "39_r0.75",
           "41_r0.75",
           "52_r0.75",
           "27_r0.75",
           "61_r0.75",
           "62_r0.75",
           "63_r0.75",
           "67_r0.75",
           "70_r0.75",
           "71_r0.75",
           "74_r0.75",
           "76_r0.75",
           "79_r0.75",
           "80_r0.75",
           "87_r0.75",
           "89_r0.75",
           "90_r0.75",
           "93_r0.75",
           "97_r0.75",
           "101_r0.75",
           "102_r0.75",
           "105_r0.75",
           "114_r0.75",
           "115_r0.75",
           "117_r0.75",
           "119_r0.75",
           "120_r0.75",
           "121_r0.75",
           "127_r0.75",
           "128_r0.75",
           "21_r0.75",
           "130_r0.75",
           "131_r0.75",
           "136_r0.75",
           "137_r0.75",
           "152_r0.75",
           "153_r0.75",
           "162_r0.75",
           "174_r0.75",
           "175_r0.75",
           "176_r0.75",
           "184_r0.75",
           "188_r0.75",
           "191_r0.75",
           "192_r0.75",
           "194_r0.75",
           "195_r0.75",
           "196_r0.75",
           "206_r0.75",
           "219_r0.75",
           "222_r0.75",
           "224_r0.75",
           "230_r0.75",
           "239_r0.75",
           "243_r0.75",
           "256_r0.75",
           "257_r0.75",
           "244_r0.75",
           "267_r0.75",
           "274_r0.75",
           "278_r0.75",
           "281_r0.75",
           "284_r0.75",
           "287_r0.75",
           "301_r0.75",
           "306_r0.75",
           "312_r0.75",
           "313_r0.75",
           "319_r0.75",
           "320_r0.75",
           "322_r0.75",
           "327_r0.75",
           "328_r0.75",
           "337_r0.75",
           "340_r0.75",
           "345_r0.75",
           "349_r0.75",
           "350_r0.75",
           "351_r0.75",
           "352_r0.75",
           "356_r0.75",
           "339_r0.75",
           "362_r0.75",
           "364_r0.75",
           "366_r0.75",
           "367_r0.75",
           "371_r0.75",
           "384_r0.75",
           "386_r0.75",
           "388_r0.75",
           "389_r0.75",
           "391_r0.75",
           "394_r0.75",
           "399_r0.75",
           "401_r0.75",
           "342_r0.75",
           "420_r0.75",
           "425_r0.75",
           "426_r0.75",
           "427_r0.75",
           "435_r0.75",
           "438_r0.75",
           "397_r0.75",
           "143_r0.75",
           "440_r0.75",
           "310_r0.75",
           "443_r0.75",
           "445_r0.75",
           "450_r0.75",
           "453_r0.75",
           "457_r0.75",
           "462_r0.75",
           "465_r0.75",
           "468_r0.75",
           "347_r0.75",
           "470_r0.75",
           "408_r0.75",
           "354_r0.75",
           "479_r0.75",
           "166_r0.75",
           "309_r0.75",
           "491_r0.75",
           "495_r0.75",
           "496_r0.75",
           "501_r0.75",
           "504_r0.75",
           "510_r0.75",
           "512_r0.75",
           "514_r0.75",
           "515_r0.75",
           "516_r0.75",
           "521_r0.75",
           "123_r0.75",
           "436_r0.75",
           "532_r0.75",
           "541_r0.75",
           "542_r0.75",
           "545_r0.75",
           "548_r0.75",
           "33_r0.75",
           "346_r0.75",
           "561_r0.75",
           "564_r0.75",
           "565_r0.75",
           "568_r0.75",
           "572_r0.75",
           "577_r0.75",
           "578_r0.75",
           "583_r0.75",
           "522_r0.75",
           "556_r0.75",
           "595_r0.75",
           "600_r0.75",
           "604_r0.75",
           "609_r0.75",
           "619_r0.75",
           "620_r0.75",
           "359_r0.75",
           "633_r0.75",
           "643_r0.75",
           "644_r0.75",
           "646_r0.75",
           "647_r0.75",
           "648_r0.75",
           "664_r0.75",
           "674_r0.75",
           "626_r0.75",
           "676_r0.75",
           "677_r0.75",
           "614_r0.75",
           "679_r0.75",
           "680_r0.75",
           "667_r0.75",
           "686_r0.75",
           "46_r0.75",
           "696_r0.75",
           "697_r0.75",
           "702_r0.75",
           "549_r0.75",
           "707_r0.75",
           "708_r0.75",
           "711_r0.75",
           "721_r0.75",
           "713_r0.75",
           "724_r0.75",
           "731_r0.75",
           "732_r0.75",
           "596_r0.75",
           "737_r0.75",
           "748_r0.75",
           "5_r1.0",
           "6_r1.0",
           "7_r1.0",
           "8_r1.0",
           "9_r1.0",
           "10_r1.0",
           "12_r1.0",
           "17_r1.0",
           "18_r1.0",
           "20_r1.0",
           "22_r1.0",
           "23_r1.0",
           "24_r1.0",
           "35_r1.0",
           "39_r1.0",
           "43_r1.0",
           "44_r1.0",
           "45_r1.0",
           "48_r1.0",
           "50_r1.0",
           "51_r1.0",
           "58_r1.0",
           "62_r1.0",
           "66_r1.0",
           "67_r1.0",
           "68_r1.0",
           "70_r1.0",
           "74_r1.0",
           "77_r1.0",
           "78_r1.0",
           "79_r1.0",
           "80_r1.0",
           "81_r1.0",
           "84_r1.0",
           "86_r1.0",
           "89_r1.0",
           "90_r1.0",
           "93_r1.0",
           "94_r1.0",
           "95_r1.0",
           "96_r1.0",
           "99_r1.0",
           "101_r1.0",
           "103_r1.0",
           "105_r1.0",
           "108_r1.0",
           "109_r1.0",
           "111_r1.0",
           "113_r1.0",
           "122_r1.0",
           "123_r1.0",
           "125_r1.0",
           "127_r1.0",
           "128_r1.0",
           "130_r1.0",
           "131_r1.0",
           "135_r1.0",
           "137_r1.0",
           "139_r1.0",
           "140_r1.0",
           "141_r1.0",
           "144_r1.0",
           "147_r1.0",
           "149_r1.0",
           "159_r1.0",
           "160_r1.0",
           "167_r1.0",
           "173_r1.0",
           "177_r1.0",
           "178_r1.0",
           "179_r1.0",
           "184_r1.0",
           "187_r1.0",
           "190_r1.0",
           "191_r1.0",
           "193_r1.0",
           "194_r1.0",
           "195_r1.0",
           "196_r1.0",
           "207_r1.0",
           "212_r1.0",
           "215_r1.0",
           "216_r1.0",
           "219_r1.0",
           "224_r1.0",
           "225_r1.0",
           "235_r1.0",
           "236_r1.0",
           "238_r1.0",
           "239_r1.0",
           "243_r1.0",
           "244_r1.0",
           "247_r1.0",
           "248_r1.0",
           "249_r1.0",
           "253_r1.0",
           "260_r1.0",
           "267_r1.0",
           "268_r1.0",
           "275_r1.0",
           "276_r1.0",
           "278_r1.0",
           "283_r1.0",
           "284_r1.0",
           "292_r1.0",
           "299_r1.0",
           "303_r1.0",
           "308_r1.0",
           "310_r1.0",
           "312_r1.0",
           "313_r1.0",
           "315_r1.0",
           "320_r1.0",
           "324_r1.0",
           "326_r1.0",
           "328_r1.0",
           "330_r1.0",
           "331_r1.0",
           "335_r1.0",
           "348_r1.0",
           "350_r1.0",
           "354_r1.0",
           "355_r1.0",
           "357_r1.0",
           "358_r1.0",
           "359_r1.0",
           "364_r1.0",
           "366_r1.0",
           "386_r1.0",
           "387_r1.0",
           "392_r1.0",
           "393_r1.0",
           "394_r1.0",
           "400_r1.0",
           "407_r1.0",
           "408_r1.0",
           "409_r1.0",
           "411_r1.0",
           "412_r1.0",
           "417_r1.0",
           "420_r1.0",
           "428_r1.0",
           "432_r1.0",
           "437_r1.0",
           "441_r1.0",
           "447_r1.0",
           "451_r1.0",
           "452_r1.0",
           "453_r1.0",
           "454_r1.0",
           "455_r1.0",
           "456_r1.0",
           "465_r1.0",
           "482_r1.0",
           "483_r1.0",
           "485_r1.0",
           "487_r1.0",
           "491_r1.0",
           "492_r1.0",
           "495_r1.0",
           "498_r1.0",
           "501_r1.0",
           "507_r1.0",
           "511_r1.0",
           "514_r1.0",
           "515_r1.0",
           "516_r1.0",
           "520_r1.0",
           "527_r1.0",
           "529_r1.0",
           "534_r1.0",
           "542_r1.0",
           "546_r1.0",
           "550_r1.0",
           "553_r1.0",
           "554_r1.0",
           "558_r1.0",
           "561_r1.0",
           "569_r1.0",
           "574_r1.0",
           "575_r1.0",
           "576_r1.0",
           "579_r1.0",
           "586_r1.0",
           "594_r1.0",
           "595_r1.0",
           "599_r1.0",
           "600_r1.0",
           "602_r1.0",
           "617_r1.0",
           "619_r1.0",
           "623_r1.0",
           "629_r1.0",
           "636_r1.0",
           "648_r1.0",
           "652_r1.0",
           "653_r1.0",
           "664_r1.0",
           "675_r1.0",
           "676_r1.0",
           "677_r1.0",
           "678_r1.0",
           "679_r1.0",
           "680_r1.0",
           "695_r1.0",
           "703_r1.0",
           "705_r1.0",
           "706_r1.0",
           "707_r1.0",
           "709_r1.0",
           "710_r1.0",
           "711_r1.0",
           "719_r1.0",
           "722_r1.0",
           "730_r1.0",
           "735_r1.0",
           "736_r1.0",
           "740_r1.0",
           "746_r1.0",
           "750_r1.0",
           "751_r1.0",
           "755_r1.0",
           "765_r1.0",
           "766_r1.0",
           "768_r1.0",
           "776_r1.0",
           "777_r1.0",
           "782_r1.0",
           "783_r1.0",
           "792_r1.0",
           "793_r1.0",
           "802_r1.0"
          ],
          "pad": 15,
          "thickness": 20
         },
         "type": "sankey"
        }
       ],
       "layout": {
        "height": 1000,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "ride or die: 1.0 max res"
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# take only the columns with modularity data\n",
    "ovi_HB_chunk = ride_or_die_df[['0.0','0.05','0.1','0.5','0.75','1.0']].copy()\n",
    "\n",
    "create_Sankey(ovi_HB_chunk,'ride or die: 1.0 max res')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 378,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1008024276</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>FB5N_R</td>\n",
       "      <td>FB5N</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM08</td>\n",
       "      <td>472.5</td>\n",
       "      <td>[19178, 29711, 37312]</td>\n",
       "      <td>{'SNP(L)': {'post': 5, 'upstream': 5, 'mito': ...</td>\n",
       "      <td>SMPCREFB5_4</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1008369339</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>FS1B(FQ9)_C6_R</td>\n",
       "      <td>FS1B</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM02</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[22606, 16349, 10032]</td>\n",
       "      <td>{'SNP(L)': {'pre': 43, 'post': 24, 'downstream...</td>\n",
       "      <td>FB25SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1008391068</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>FC2B(FQ7)_C6_L</td>\n",
       "      <td>FC2B</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>325.5</td>\n",
       "      <td>[29681, 16321, 7328]</td>\n",
       "      <td>{'CX': {'pre': 167, 'post': 2135, 'downstream'...</td>\n",
       "      <td>FB1d356CRE</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1008693605</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>FC2C(FQ7)_C7_L</td>\n",
       "      <td>FC2C</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[32830, 14210, 12336]</td>\n",
       "      <td>{'CX': {'pre': 91, 'post': 1051, 'downstream':...</td>\n",
       "      <td>FB1d367CRE</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1009371535</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>FC2B(FQ7)_C3_L</td>\n",
       "      <td>FC2B</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>277.5</td>\n",
       "      <td>[28298, 18341, 7600]</td>\n",
       "      <td>{'CX': {'pre': 130, 'post': 2051, 'downstream'...</td>\n",
       "      <td>FB1d356CRE</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2487</th>\n",
       "      <td>983067799</td>\n",
       "      <td>2488</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C3_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[29498, 16181, 12232]</td>\n",
       "      <td>{'SNP(R)': {'pre': 48, 'post': 37, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2488</th>\n",
       "      <td>983093876</td>\n",
       "      <td>2489</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>51</td>\n",
       "      <td>FS1A(FQ9)_C8_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>261.5</td>\n",
       "      <td>[32853, 11568, 18616]</td>\n",
       "      <td>{'SNP(R)': {'pre': 54, 'post': 50, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2490</th>\n",
       "      <td>983426636</td>\n",
       "      <td>2491</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>77</td>\n",
       "      <td>FS1A(FQ9)_C6_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>271.0</td>\n",
       "      <td>[30775, 16354, 10640]</td>\n",
       "      <td>{'SNP(L)': {'pre': 19, 'post': 14, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2491</th>\n",
       "      <td>983430664</td>\n",
       "      <td>2492</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C3_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[16993, 11130, 15072]</td>\n",
       "      <td>{'SNP(R)': {'pre': 37, 'post': 32, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2495</th>\n",
       "      <td>983767602</td>\n",
       "      <td>2496</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1B(FQ9)_C2_L</td>\n",
       "      <td>FS1B</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[27031, 16664, 12416]</td>\n",
       "      <td>{'SNP(R)': {'pre': 62, 'post': 30, 'downstream...</td>\n",
       "      <td>FB25SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>119 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id   key  0.0  0.05  0.1  0.5  0.75  1.0        instance  \\\n",
       "4     1008024276     5    3     2    2    5     5    5          FB5N_R   \n",
       "7     1008369339     8    3     2    2    5     5    8  FS1B(FQ9)_C6_R   \n",
       "8     1008391068     9    3     2    2    5     5    5  FC2B(FQ7)_C6_L   \n",
       "9     1008693605    10    3     2    2    5     5    9  FC2C(FQ7)_C7_L   \n",
       "12    1009371535    13    3     2    2    5     5   10  FC2B(FQ7)_C3_L   \n",
       "...          ...   ...  ...   ...  ...  ...   ...  ...             ...   \n",
       "2487   983067799  2488    3     2    2    5     5   20  FS1A(FQ9)_C3_L   \n",
       "2488   983093876  2489    3     2    2    5     5   51  FS1A(FQ9)_C8_L   \n",
       "2490   983426636  2491    3     2    2    5     5   77  FS1A(FQ9)_C6_L   \n",
       "2491   983430664  2492    3     2    2    5     5   20  FS1A(FQ9)_C3_R   \n",
       "2495   983767602  2496    3     2    2    5     5   20  FS1B(FQ9)_C2_L   \n",
       "\n",
       "     celltype  ...  status  cropped     statusLabel  cellBodyFiber  \\\n",
       "4        FB5N  ...  Traced    False  Roughly traced          AVM08   \n",
       "7        FS1B  ...  Traced    False  Roughly traced          PDM02   \n",
       "8        FC2B  ...  Traced    False  Roughly traced          PDM03   \n",
       "9        FC2C  ...  Traced    False  Roughly traced          PDM03   \n",
       "12       FC2B  ...  Traced    False  Roughly traced          PDM01   \n",
       "...       ...  ...     ...      ...             ...            ...   \n",
       "2487     FS1A  ...  Traced    False  Roughly traced          PDM01   \n",
       "2488     FS1A  ...  Traced    False  Roughly traced          PDM04   \n",
       "2490     FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "2491     FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "2495     FS1B  ...  Traced    False  Roughly traced          PDM01   \n",
       "\n",
       "      somaRadius           somaLocation  \\\n",
       "4          472.5  [19178, 29711, 37312]   \n",
       "7          301.0  [22606, 16349, 10032]   \n",
       "8          325.5   [29681, 16321, 7328]   \n",
       "9          291.0  [32830, 14210, 12336]   \n",
       "12         277.5   [28298, 18341, 7600]   \n",
       "...          ...                    ...   \n",
       "2487       291.0  [29498, 16181, 12232]   \n",
       "2488       261.5  [32853, 11568, 18616]   \n",
       "2490       271.0  [30775, 16354, 10640]   \n",
       "2491       236.0  [16993, 11130, 15072]   \n",
       "2495       301.0  [27031, 16664, 12416]   \n",
       "\n",
       "                                                roiInfo        notes  \\\n",
       "4     {'SNP(L)': {'post': 5, 'upstream': 5, 'mito': ...  SMPCREFB5_4   \n",
       "7     {'SNP(L)': {'pre': 43, 'post': 24, 'downstream...   FB25SMPSMP   \n",
       "8     {'CX': {'pre': 167, 'post': 2135, 'downstream'...   FB1d356CRE   \n",
       "9     {'CX': {'pre': 91, 'post': 1051, 'downstream':...   FB1d367CRE   \n",
       "12    {'CX': {'pre': 130, 'post': 2051, 'downstream'...   FB1d356CRE   \n",
       "...                                                 ...          ...   \n",
       "2487  {'SNP(R)': {'pre': 48, 'post': 37, 'downstream...  FB2-6SMPSMP   \n",
       "2488  {'SNP(R)': {'pre': 54, 'post': 50, 'downstream...  FB2-6SMPSMP   \n",
       "2490  {'SNP(L)': {'pre': 19, 'post': 14, 'downstream...  FB2-6SMPSMP   \n",
       "2491  {'SNP(R)': {'pre': 37, 'post': 32, 'downstream...  FB2-6SMPSMP   \n",
       "2495  {'SNP(R)': {'pre': 62, 'post': 30, 'downstream...   FB25SMPSMP   \n",
       "\n",
       "                                              inputRois  \\\n",
       "4     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "7     ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...   \n",
       "8     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "9     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "12    ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "...                                                 ...   \n",
       "2487  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...   \n",
       "2488  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...   \n",
       "2490  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2491  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2495  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "\n",
       "                                             outputRois  \n",
       "4     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "7     ['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...  \n",
       "8     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "9     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "12    ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "...                                                 ...  \n",
       "2487  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...  \n",
       "2488  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...  \n",
       "2490  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2491  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2495  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "\n",
       "[119 rows x 26 columns]"
      ]
     },
     "execution_count": 378,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ride_or_die_df[ride_or_die_df['0.1']==2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using a higher maximum resolution did retain more nodes. We now have about 30% of the input nodes qualifying as ride or die. But something a little strange is happening. I'm seeing crossover.\n",
    "\n",
    "I took an example below and found that this crossover is valid. There are fine modules that not only stick together but they break off and recombine with other modules together too. They really are ride or die 4 life."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1131</th>\n",
       "      <td>579230376</td>\n",
       "      <td>1132</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>20</td>\n",
       "      <td>341</td>\n",
       "      <td>512</td>\n",
       "      <td>511</td>\n",
       "      <td>SMP031_R</td>\n",
       "      <td>SMP031</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Traced</td>\n",
       "      <td>ADL15</td>\n",
       "      <td>246.0</td>\n",
       "      <td>[3685, 24096, 13480]</td>\n",
       "      <td>{'SNP(R)': {'pre': 128, 'post': 560, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'MB(+AC...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'MB(+AC...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2185</th>\n",
       "      <td>799586652</td>\n",
       "      <td>2186</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>20</td>\n",
       "      <td>341</td>\n",
       "      <td>512</td>\n",
       "      <td>511</td>\n",
       "      <td>MBON05(y4&gt;y1y2)(AVM07)_L</td>\n",
       "      <td>MBON05</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 241, 'post': 239, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'MB(+AC...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             id   key  0.0  0.05  0.1  0.5  0.75  1.0  \\\n",
       "1131  579230376  1132    3     8   20  341   512  511   \n",
       "2185  799586652  2186    3     8   20  341   512  511   \n",
       "\n",
       "                      instance celltype  ...  status  cropped     statusLabel  \\\n",
       "1131                  SMP031_R   SMP031  ...  Traced    False          Traced   \n",
       "2185  MBON05(y4>y1y2)(AVM07)_L   MBON05  ...  Traced    False  Roughly traced   \n",
       "\n",
       "      cellBodyFiber  somaRadius          somaLocation  \\\n",
       "1131          ADL15       246.0  [3685, 24096, 13480]   \n",
       "2185            NaN         NaN                   NaN   \n",
       "\n",
       "                                                roiInfo notes  \\\n",
       "1131  {'SNP(R)': {'pre': 128, 'post': 560, 'downstre...   NaN   \n",
       "2185  {'SNP(R)': {'pre': 241, 'post': 239, 'downstre...   NaN   \n",
       "\n",
       "                                              inputRois  \\\n",
       "1131  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'MB(+AC...   \n",
       "2185  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...   \n",
       "\n",
       "                                             outputRois  \n",
       "1131  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'MB(+AC...  \n",
       "2185  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'MB(+AC...  \n",
       "\n",
       "[2 rows x 26 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ride_or_die_df[(ride_or_die_df['0.05'] == 8) & (ride_or_die_df['0.1'] == 20)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1131</th>\n",
       "      <td>579230376</td>\n",
       "      <td>1132</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>20</td>\n",
       "      <td>341</td>\n",
       "      <td>512</td>\n",
       "      <td>511</td>\n",
       "      <td>SMP031_R</td>\n",
       "      <td>SMP031</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Traced</td>\n",
       "      <td>ADL15</td>\n",
       "      <td>246.0</td>\n",
       "      <td>[3685, 24096, 13480]</td>\n",
       "      <td>{'SNP(R)': {'pre': 128, 'post': 560, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'MB(+AC...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'MB(+AC...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2185</th>\n",
       "      <td>799586652</td>\n",
       "      <td>2186</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>20</td>\n",
       "      <td>341</td>\n",
       "      <td>512</td>\n",
       "      <td>511</td>\n",
       "      <td>MBON05(y4&gt;y1y2)(AVM07)_L</td>\n",
       "      <td>MBON05</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 241, 'post': 239, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'MB(+AC...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             id   key  0.0  0.05  0.1  0.5  0.75  1.0  \\\n",
       "1131  579230376  1132    3     8   20  341   512  511   \n",
       "2185  799586652  2186    3     8   20  341   512  511   \n",
       "\n",
       "                      instance celltype  ...  status  cropped     statusLabel  \\\n",
       "1131                  SMP031_R   SMP031  ...  Traced    False          Traced   \n",
       "2185  MBON05(y4>y1y2)(AVM07)_L   MBON05  ...  Traced    False  Roughly traced   \n",
       "\n",
       "      cellBodyFiber  somaRadius          somaLocation  \\\n",
       "1131          ADL15       246.0  [3685, 24096, 13480]   \n",
       "2185            NaN         NaN                   NaN   \n",
       "\n",
       "                                                roiInfo notes  \\\n",
       "1131  {'SNP(R)': {'pre': 128, 'post': 560, 'downstre...   NaN   \n",
       "2185  {'SNP(R)': {'pre': 241, 'post': 239, 'downstre...   NaN   \n",
       "\n",
       "                                              inputRois  \\\n",
       "1131  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'MB(+AC...   \n",
       "2185  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...   \n",
       "\n",
       "                                             outputRois  \n",
       "1131  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'MB(+AC...  \n",
       "2185  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'MB(+AC...  \n",
       "\n",
       "[2 rows x 26 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ovi_in_node_df[ovi_in_node_df['1.0'] == 511]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "How many ride or die neurons are type None? Around 27%. Compare that to 33% for the entire oviINr input connectome. It's more comparable than I would've imagined."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1008085163</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'pre': 10, 'post': 9, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']</td>\n",
       "      <td>['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1008102479</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>(PVM01)_L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'post': 4, 'upstream': 4, 'mito': ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['EPA(L)', 'GOR(L)', 'ICL(L)', 'INP', 'SCL(L)'...</td>\n",
       "      <td>['GC', 'INP', 'SCL(L)', 'SPS(L)', 'SPS(R)', 'V...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>1041666949</td>\n",
       "      <td>67</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>35</td>\n",
       "      <td>39</td>\n",
       "      <td>45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 255, 'post': 136, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AVLP(R)', 'CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CR...</td>\n",
       "      <td>['AVLP(R)', 'CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CR...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>1049946735</td>\n",
       "      <td>87</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>16</td>\n",
       "      <td>52</td>\n",
       "      <td>58</td>\n",
       "      <td>(MBDLaxon1)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 217, 'post': 140, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'MB(+AC...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'SMP(R)...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>1106944058</td>\n",
       "      <td>142</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>65</td>\n",
       "      <td>79</td>\n",
       "      <td>89</td>\n",
       "      <td>(PDM12)_L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[28443, 19496, 9872]</td>\n",
       "      <td>{'INP': {'post': 13, 'upstream': 13, 'mito': 5...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CAN(R)', 'FLA(R)', 'ICL(L)', 'INP', 'PENP', ...</td>\n",
       "      <td>['FLA(R)', 'PENP', 'VES(R)', 'VMNP']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2334</th>\n",
       "      <td>888577071</td>\n",
       "      <td>2335</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>366</td>\n",
       "      <td>565</td>\n",
       "      <td>575</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 72, 'post': 37, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2402</th>\n",
       "      <td>921684387</td>\n",
       "      <td>2403</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>413</td>\n",
       "      <td>697</td>\n",
       "      <td>736</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 29, 'post': 21, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2474</th>\n",
       "      <td>978068779</td>\n",
       "      <td>2475</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>11</td>\n",
       "      <td>323</td>\n",
       "      <td>708</td>\n",
       "      <td>751</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'pre': 154, 'post': 137, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(L)', 'ATL(R)', 'IB', 'INP', 'SIP(L)', 'S...</td>\n",
       "      <td>['ATL(L)', 'ATL(R)', 'IB', 'ICL(L)', 'INP', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2489</th>\n",
       "      <td>983202377</td>\n",
       "      <td>2490</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>446</td>\n",
       "      <td>677</td>\n",
       "      <td>707</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'pre': 97, 'post': 63, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'LAL(L)', 'L...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'LAL(L)', 'L...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2506</th>\n",
       "      <td>987273073</td>\n",
       "      <td>2507</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>409</td>\n",
       "      <td>604</td>\n",
       "      <td>629</td>\n",
       "      <td>(PVL05)_L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 65, 'post': 52, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>193 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id   key  0.0  0.05  0.1  0.5  0.75  1.0     instance celltype  \\\n",
       "5     1008085163     6    1     1    1    6     6    6          NaN      NaN   \n",
       "6     1008102479     7    2     1    1    7     7    7    (PVM01)_L      NaN   \n",
       "66    1041666949    67    2     3    4   35    39   45          NaN      NaN   \n",
       "86    1049946735    87    2     3    4   16    52   58  (MBDLaxon1)      NaN   \n",
       "141   1106944058   142    2     1    1   65    79   89    (PDM12)_L      NaN   \n",
       "...          ...   ...  ...   ...  ...  ...   ...  ...          ...      ...   \n",
       "2334   888577071  2335    3     8    8  366   565  575          NaN      NaN   \n",
       "2402   921684387  2403    3     8    8  413   697  736          NaN      NaN   \n",
       "2474   978068779  2475    4    15   11  323   708  751          NaN      NaN   \n",
       "2489   983202377  2490    3     8    8  446   677  707          NaN      NaN   \n",
       "2506   987273073  2507    3     8    8  409   604  629    (PVL05)_L      NaN   \n",
       "\n",
       "      ...  status  cropped     statusLabel  cellBodyFiber  somaRadius  \\\n",
       "5     ...  Traced     True          Leaves            NaN         NaN   \n",
       "6     ...  Traced    False  Roughly traced            NaN         NaN   \n",
       "66    ...  Traced    False  Roughly traced            NaN         NaN   \n",
       "86    ...  Traced    False  Roughly traced            NaN         NaN   \n",
       "141   ...  Traced    False  Roughly traced            NaN       301.0   \n",
       "...   ...     ...      ...             ...            ...         ...   \n",
       "2334  ...  Traced     True          Leaves            NaN         NaN   \n",
       "2402  ...  Traced     True          Leaves            NaN         NaN   \n",
       "2474  ...  Traced     True          Leaves            NaN         NaN   \n",
       "2489  ...  Traced     True          Leaves            NaN         NaN   \n",
       "2506  ...  Traced    False  Roughly traced            NaN         NaN   \n",
       "\n",
       "              somaLocation                                            roiInfo  \\\n",
       "5                      NaN  {'SNP(L)': {'pre': 10, 'post': 9, 'downstream'...   \n",
       "6                      NaN  {'SNP(L)': {'post': 4, 'upstream': 4, 'mito': ...   \n",
       "66                     NaN  {'SNP(R)': {'pre': 255, 'post': 136, 'downstre...   \n",
       "86                     NaN  {'SNP(R)': {'pre': 217, 'post': 140, 'downstre...   \n",
       "141   [28443, 19496, 9872]  {'INP': {'post': 13, 'upstream': 13, 'mito': 5...   \n",
       "...                    ...                                                ...   \n",
       "2334                   NaN  {'SNP(R)': {'pre': 72, 'post': 37, 'downstream...   \n",
       "2402                   NaN  {'SNP(R)': {'pre': 29, 'post': 21, 'downstream...   \n",
       "2474                   NaN  {'SNP(L)': {'pre': 154, 'post': 137, 'downstre...   \n",
       "2489                   NaN  {'SNP(L)': {'pre': 97, 'post': 63, 'downstream...   \n",
       "2506                   NaN  {'SNP(R)': {'pre': 65, 'post': 52, 'downstream...   \n",
       "\n",
       "     notes                                          inputRois  \\\n",
       "5      NaN        ['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']   \n",
       "6      NaN  ['EPA(L)', 'GOR(L)', 'ICL(L)', 'INP', 'SCL(L)'...   \n",
       "66     NaN  ['AVLP(R)', 'CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CR...   \n",
       "86     NaN  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'MB(+AC...   \n",
       "141    NaN  ['CAN(R)', 'FLA(R)', 'ICL(L)', 'INP', 'PENP', ...   \n",
       "...    ...                                                ...   \n",
       "2334   NaN  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2402   NaN  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2474   NaN  ['ATL(L)', 'ATL(R)', 'IB', 'INP', 'SIP(L)', 'S...   \n",
       "2489   NaN  ['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'LAL(L)', 'L...   \n",
       "2506   NaN  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "\n",
       "                                             outputRois  \n",
       "5           ['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']  \n",
       "6     ['GC', 'INP', 'SCL(L)', 'SPS(L)', 'SPS(R)', 'V...  \n",
       "66    ['AVLP(R)', 'CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CR...  \n",
       "86    ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'SMP(R)...  \n",
       "141                ['FLA(R)', 'PENP', 'VES(R)', 'VMNP']  \n",
       "...                                                 ...  \n",
       "2334  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2402  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2474  ['ATL(L)', 'ATL(R)', 'IB', 'ICL(L)', 'INP', 'S...  \n",
       "2489  ['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'LAL(L)', 'L...  \n",
       "2506  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "\n",
       "[193 rows x 26 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ride_or_die_df[ride_or_die_df['celltype'].isna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.3341298287534847"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "839/2511"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.273371104815864"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "193/len(ride_or_die_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2263</th>\n",
       "      <td>832646151</td>\n",
       "      <td>2264</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>75</td>\n",
       "      <td>499</td>\n",
       "      <td>596</td>\n",
       "      <td>782</td>\n",
       "      <td>SMP214_R</td>\n",
       "      <td>SMP214</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDL06</td>\n",
       "      <td>261.0</td>\n",
       "      <td>[5943, 19514, 5360]</td>\n",
       "      <td>{'SNP(R)': {'pre': 86, 'post': 134, 'downstrea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'SIP(R)...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2363</th>\n",
       "      <td>894724798</td>\n",
       "      <td>2364</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>75</td>\n",
       "      <td>499</td>\n",
       "      <td>596</td>\n",
       "      <td>782</td>\n",
       "      <td>SMP214_R</td>\n",
       "      <td>SMP214</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDL06</td>\n",
       "      <td>245.0</td>\n",
       "      <td>[5516, 21403, 4592]</td>\n",
       "      <td>{'SNP(R)': {'pre': 52, 'post': 109, 'downstrea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'PLP(R)...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'PLP(R)...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             id   key  0.0  0.05  0.1  0.5  0.75  1.0  instance celltype  ...  \\\n",
       "2263  832646151  2264    2     8   75  499   596  782  SMP214_R   SMP214  ...   \n",
       "2363  894724798  2364    2     8   75  499   596  782  SMP214_R   SMP214  ...   \n",
       "\n",
       "      status  cropped     statusLabel  cellBodyFiber  somaRadius  \\\n",
       "2263  Traced    False  Roughly traced          PDL06       261.0   \n",
       "2363  Traced    False  Roughly traced          PDL06       245.0   \n",
       "\n",
       "             somaLocation                                            roiInfo  \\\n",
       "2263  [5943, 19514, 5360]  {'SNP(R)': {'pre': 86, 'post': 134, 'downstrea...   \n",
       "2363  [5516, 21403, 4592]  {'SNP(R)': {'pre': 52, 'post': 109, 'downstrea...   \n",
       "\n",
       "     notes                                          inputRois  \\\n",
       "2263   NaN  ['ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP...   \n",
       "2363   NaN  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'PLP(R)...   \n",
       "\n",
       "                                             outputRois  \n",
       "2263  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'SIP(R)...  \n",
       "2363  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'PLP(R)...  \n",
       "\n",
       "[2 rows x 26 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ride_or_die_df[ride_or_die_df['0.1']==75]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Of course I want to see all the other possible max resolutions.\n",
    "\n",
    "# Ride or die from 0.75 max res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the max res to use\n",
    "max_res = '0.75'\n",
    "\n",
    "# the df to use since we don't need body ids\n",
    "test = ovi_in_node_df[['0.0','0.05','0.1','0.5','0.75']].copy()\n",
    "\n",
    "# get a list of module ids\n",
    "module_ids = test[max_res].unique().tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 343,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1008085163</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'pre': 10, 'post': 9, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']</td>\n",
       "      <td>['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1008102479</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>(PVM01)_L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'post': 4, 'upstream': 4, 'mito': ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['EPA(L)', 'GOR(L)', 'ICL(L)', 'INP', 'SCL(L)'...</td>\n",
       "      <td>['GC', 'INP', 'SCL(L)', 'SPS(L)', 'SPS(R)', 'V...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1008966615</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>CL300_R</td>\n",
       "      <td>CL300</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL13</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[13492, 9603, 16400]</td>\n",
       "      <td>{'INP': {'pre': 42, 'post': 132, 'downstream':...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['IB', 'ICL(R)', 'INP', 'PLP(R)', 'SCL(R)', 'S...</td>\n",
       "      <td>['IB', 'ICL(R)', 'INP', 'PLP(R)', 'VLNP(R)']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1013066710</td>\n",
       "      <td>22</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "      <td>CRE071_R</td>\n",
       "      <td>CRE071</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM17</td>\n",
       "      <td>396.5</td>\n",
       "      <td>[11636, 34239, 26536]</td>\n",
       "      <td>{'SNP(R)': {'pre': 12, 'post': 95, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AL(R)', 'AL-DP1l(R)', 'CRE(-ROB,-RUB)(R)', '...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1013416147</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>CRE100_R</td>\n",
       "      <td>CRE100</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM27</td>\n",
       "      <td>401.0</td>\n",
       "      <td>[23180, 15645, 12816]</td>\n",
       "      <td>{'SNP(L)': {'pre': 1, 'post': 3, 'downstream':...</td>\n",
       "      <td>CL-VeSp</td>\n",
       "      <td>['CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'FLA...</td>\n",
       "      <td>['CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'FLA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2489</th>\n",
       "      <td>983202377</td>\n",
       "      <td>2490</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>446</td>\n",
       "      <td>677</td>\n",
       "      <td>707</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'pre': 97, 'post': 63, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'LAL(L)', 'L...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'LAL(L)', 'L...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2494</th>\n",
       "      <td>983767417</td>\n",
       "      <td>2495</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>31</td>\n",
       "      <td>752</td>\n",
       "      <td>134</td>\n",
       "      <td>LAL175_R</td>\n",
       "      <td>LAL175</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVM03</td>\n",
       "      <td>335.0</td>\n",
       "      <td>[17040, 9200, 20880]</td>\n",
       "      <td>{'SNP(R)': {'pre': 1, 'post': 13, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2503</th>\n",
       "      <td>986098785</td>\n",
       "      <td>2504</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>427</td>\n",
       "      <td>644</td>\n",
       "      <td>676</td>\n",
       "      <td>AOTU008_a_R</td>\n",
       "      <td>AOTU008_a</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADL08</td>\n",
       "      <td>258.5</td>\n",
       "      <td>[10014, 33018, 17344]</td>\n",
       "      <td>{'SNP(R)': {'pre': 111, 'post': 179, 'downstre...</td>\n",
       "      <td>aSP11b candidates</td>\n",
       "      <td>['AOTU(R)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CR...</td>\n",
       "      <td>['AOTU(R)', 'ATL(R)', 'IB', 'INP', 'MB(+ACA)(R...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2505</th>\n",
       "      <td>987117151</td>\n",
       "      <td>2506</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>53</td>\n",
       "      <td>63</td>\n",
       "      <td>68</td>\n",
       "      <td>LAL010_R</td>\n",
       "      <td>LAL010</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADM03</td>\n",
       "      <td>292.5</td>\n",
       "      <td>[15520, 32234, 10016]</td>\n",
       "      <td>{'SNP(R)': {'pre': 2, 'post': 82, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2506</th>\n",
       "      <td>987273073</td>\n",
       "      <td>2507</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>409</td>\n",
       "      <td>604</td>\n",
       "      <td>629</td>\n",
       "      <td>(PVL05)_L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 65, 'post': 52, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>606 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id   key  0.0  0.05  0.1  0.5  0.75  1.0     instance  \\\n",
       "5     1008085163     6    1     1    1    6     6    6          NaN   \n",
       "6     1008102479     7    2     1    1    7     7    7    (PVM01)_L   \n",
       "10    1008966615    11    1     1    1    3     8    3      CL300_R   \n",
       "21    1013066710    22    3     3    4   16    16   17     CRE071_R   \n",
       "23    1013416147    24    2     3    4   18    18   18     CRE100_R   \n",
       "...          ...   ...  ...   ...  ...  ...   ...  ...          ...   \n",
       "2489   983202377  2490    3     8    8  446   677  707          NaN   \n",
       "2494   983767417  2495    2     7    7   31   752  134     LAL175_R   \n",
       "2503   986098785  2504    2     1    6  427   644  676  AOTU008_a_R   \n",
       "2505   987117151  2506    2     7    7   53    63   68     LAL010_R   \n",
       "2506   987273073  2507    3     8    8  409   604  629    (PVL05)_L   \n",
       "\n",
       "       celltype  ...  status  cropped     statusLabel  cellBodyFiber  \\\n",
       "5           NaN  ...  Traced     True          Leaves            NaN   \n",
       "6           NaN  ...  Traced    False  Roughly traced            NaN   \n",
       "10        CL300  ...  Traced    False  Roughly traced          PVL13   \n",
       "21       CRE071  ...  Traced    False  Roughly traced          AVM17   \n",
       "23       CRE100  ...  Traced    False  Roughly traced          PDM27   \n",
       "...         ...  ...     ...      ...             ...            ...   \n",
       "2489        NaN  ...  Traced     True          Leaves            NaN   \n",
       "2494     LAL175  ...  Traced    False  Roughly traced          PVM03   \n",
       "2503  AOTU008_a  ...  Traced    False  Roughly traced          ADL08   \n",
       "2505     LAL010  ...  Traced    False  Roughly traced          ADM03   \n",
       "2506        NaN  ...  Traced    False  Roughly traced            NaN   \n",
       "\n",
       "      somaRadius           somaLocation  \\\n",
       "5            NaN                    NaN   \n",
       "6            NaN                    NaN   \n",
       "10         236.0   [13492, 9603, 16400]   \n",
       "21         396.5  [11636, 34239, 26536]   \n",
       "23         401.0  [23180, 15645, 12816]   \n",
       "...          ...                    ...   \n",
       "2489         NaN                    NaN   \n",
       "2494       335.0   [17040, 9200, 20880]   \n",
       "2503       258.5  [10014, 33018, 17344]   \n",
       "2505       292.5  [15520, 32234, 10016]   \n",
       "2506         NaN                    NaN   \n",
       "\n",
       "                                                roiInfo              notes  \\\n",
       "5     {'SNP(L)': {'pre': 10, 'post': 9, 'downstream'...                NaN   \n",
       "6     {'SNP(L)': {'post': 4, 'upstream': 4, 'mito': ...                NaN   \n",
       "10    {'INP': {'pre': 42, 'post': 132, 'downstream':...                NaN   \n",
       "21    {'SNP(R)': {'pre': 12, 'post': 95, 'downstream...                NaN   \n",
       "23    {'SNP(L)': {'pre': 1, 'post': 3, 'downstream':...            CL-VeSp   \n",
       "...                                                 ...                ...   \n",
       "2489  {'SNP(L)': {'pre': 97, 'post': 63, 'downstream...                NaN   \n",
       "2494  {'SNP(R)': {'pre': 1, 'post': 13, 'downstream'...                NaN   \n",
       "2503  {'SNP(R)': {'pre': 111, 'post': 179, 'downstre...  aSP11b candidates   \n",
       "2505  {'SNP(R)': {'pre': 2, 'post': 82, 'downstream'...                NaN   \n",
       "2506  {'SNP(R)': {'pre': 65, 'post': 52, 'downstream...                NaN   \n",
       "\n",
       "                                              inputRois  \\\n",
       "5           ['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']   \n",
       "6     ['EPA(L)', 'GOR(L)', 'ICL(L)', 'INP', 'SCL(L)'...   \n",
       "10    ['IB', 'ICL(R)', 'INP', 'PLP(R)', 'SCL(R)', 'S...   \n",
       "21    ['AL(R)', 'AL-DP1l(R)', 'CRE(-ROB,-RUB)(R)', '...   \n",
       "23    ['CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'FLA...   \n",
       "...                                                 ...   \n",
       "2489  ['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'LAL(L)', 'L...   \n",
       "2494  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...   \n",
       "2503  ['AOTU(R)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CR...   \n",
       "2505  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...   \n",
       "2506  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "\n",
       "                                             outputRois  \n",
       "5           ['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']  \n",
       "6     ['GC', 'INP', 'SCL(L)', 'SPS(L)', 'SPS(R)', 'V...  \n",
       "10         ['IB', 'ICL(R)', 'INP', 'PLP(R)', 'VLNP(R)']  \n",
       "21    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "23    ['CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'FLA...  \n",
       "...                                                 ...  \n",
       "2489  ['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'LAL(L)', 'L...  \n",
       "2494  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...  \n",
       "2503  ['AOTU(R)', 'ATL(R)', 'IB', 'INP', 'MB(+ACA)(R...  \n",
       "2505  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...  \n",
       "2506  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "\n",
       "[606 rows x 26 columns]"
      ]
     },
     "execution_count": 343,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create an empty list to store the module ids of the riders\n",
    "ride_or_die_modules = []\n",
    "\n",
    "for i in module_ids:\n",
    "    # grab the rows that have the module id\n",
    "    test_mod = test[test[max_res]==i]\n",
    "\n",
    "    # first test whether there is more than one row since singletons won't count\n",
    "    if test_mod.shape[0] > 1:\n",
    "\n",
    "        # tests for number of unique rows\n",
    "        if test_mod.drop_duplicates().shape[0] == 1:\n",
    "            # if all rows are duplicates of each other, then append the module id to the list\n",
    "            ride_or_die_modules.append(i)\n",
    "\n",
    "# retrieve the rows of the original dataframe that have ride or die modules\n",
    "ride_or_die_df = ovi_in_node_df[ovi_in_node_df[max_res].isin(ride_or_die_modules)]\n",
    "ride_or_die_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make a Sankey."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 344,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "link": {
          "source": [
           0,
           0,
           0,
           1,
           1,
           1,
           1,
           1,
           2,
           2,
           2,
           4,
           3,
           3,
           9,
           9,
           13,
           13,
           5,
           5,
           5,
           5,
           5,
           8,
           8,
           8,
           6,
           6,
           12,
           11,
           7,
           7,
           7,
           10,
           10,
           17,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           29,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           28,
           22,
           21,
           25,
           18,
           18,
           26,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           27,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           62,
           63,
           64,
           73,
           65,
           45,
           66,
           78,
           69,
           183,
           80,
           70,
           71,
           72,
           52,
           52,
           52,
           52,
           74,
           75,
           76,
           77,
           57,
           57,
           33,
           33,
           33,
           33,
           79,
           81,
           139,
           88,
           82,
           83,
           84,
           34,
           85,
           40,
           40,
           67,
           86,
           35,
           35,
           35,
           87,
           68,
           89,
           90,
           91,
           118,
           95,
           92,
           92,
           93,
           126,
           126,
           108,
           108,
           96,
           96,
           94,
           97,
           98,
           150,
           102,
           147,
           99,
           100,
           100,
           123,
           101,
           103,
           138,
           138,
           104,
           106,
           107,
           109,
           110,
           111,
           112,
           113,
           114,
           115,
           116,
           116,
           121,
           36,
           163,
           117,
           119,
           119,
           128,
           120,
           37,
           37,
           37,
           145,
           145,
           145,
           145,
           124,
           125,
           127,
           127,
           154,
           129,
           164,
           134,
           134,
           130,
           131,
           181,
           132,
           38,
           133,
           135,
           136,
           152,
           137,
           158,
           153,
           153,
           140,
           141,
           142,
           143,
           39,
           144,
           148,
           149,
           151,
           155,
           156,
           157,
           32,
           168,
           159,
           160,
           178,
           161,
           162,
           165,
           166,
           167,
           54,
           170,
           171,
           172,
           173,
           174,
           177,
           175,
           176,
           182,
           179,
           180,
           61,
           184,
           105,
           105,
           187,
           185,
           186,
           188,
           189,
           41,
           42,
           43,
           44,
           46,
           48,
           47,
           49,
           30,
           50,
           51,
           53,
           31,
           146,
           55,
           56,
           56,
           58,
           58,
           122,
           122,
           169,
           59,
           60,
           218,
           219,
           220,
           221,
           222,
           223,
           224,
           225,
           226,
           227,
           228,
           229,
           230,
           231,
           232,
           233,
           233,
           234,
           235,
           235,
           235,
           236,
           236,
           236,
           236,
           193,
           237,
           238,
           239,
           194,
           240,
           241,
           242,
           243,
           244,
           245,
           195,
           195,
           195,
           195,
           246,
           247,
           248,
           248,
           249,
           250,
           251,
           252,
           252,
           252,
           253,
           254,
           255,
           256,
           257,
           196,
           196,
           258,
           259,
           260,
           261,
           262,
           263,
           263,
           264,
           265,
           266,
           266,
           267,
           267,
           197,
           197,
           268,
           268,
           268,
           269,
           270,
           271,
           272,
           273,
           274,
           274,
           198,
           275,
           275,
           276,
           277,
           278,
           279,
           280,
           281,
           282,
           282,
           282,
           282,
           283,
           284,
           285,
           286,
           286,
           286,
           286,
           286,
           286,
           287,
           199,
           288,
           200,
           200,
           289,
           290,
           291,
           292,
           293,
           294,
           294,
           295,
           295,
           295,
           296,
           297,
           298,
           298,
           299,
           300,
           301,
           302,
           302,
           302,
           303,
           303,
           304,
           305,
           306,
           307,
           308,
           309,
           310,
           311,
           312,
           313,
           313,
           314,
           315,
           316,
           317,
           317,
           318,
           319,
           320,
           201,
           321,
           322,
           322,
           323,
           324,
           325,
           326,
           326,
           327,
           328,
           328,
           328,
           329,
           329,
           330,
           331,
           332,
           333,
           334,
           334,
           334,
           335,
           336,
           337,
           338,
           339,
           339,
           340,
           341,
           202,
           342,
           203,
           343,
           343,
           344,
           344,
           345,
           345,
           204,
           346,
           346,
           205,
           347,
           348,
           349,
           349,
           350,
           351,
           351,
           352,
           353,
           354,
           355,
           355,
           356,
           357,
           358,
           359,
           206,
           360,
           361,
           361,
           362,
           363,
           364,
           364,
           207,
           190,
           190,
           190,
           365,
           366,
           367,
           208,
           208,
           368,
           369,
           369,
           209,
           370,
           371,
           372,
           372,
           372,
           373,
           374,
           375,
           376,
           376,
           377,
           377,
           378,
           210,
           210,
           210,
           210,
           210,
           379,
           379,
           211,
           211,
           211,
           212,
           191,
           213,
           214,
           214,
           192,
           215,
           215,
           216,
           217,
           217,
           217,
           217,
           217
          ],
          "target": [
           9,
           5,
           8,
           9,
           5,
           6,
           11,
           7,
           8,
           6,
           10,
           13,
           9,
           12,
           19,
           24,
           29,
           14,
           14,
           22,
           25,
           26,
           24,
           18,
           20,
           24,
           15,
           16,
           28,
           27,
           17,
           21,
           16,
           28,
           23,
           37,
           183,
           150,
           138,
           107,
           110,
           111,
           145,
           127,
           129,
           130,
           131,
           181,
           135,
           157,
           168,
           159,
           166,
           167,
           170,
           171,
           172,
           175,
           180,
           187,
           146,
           108,
           99,
           104,
           115,
           158,
           151,
           162,
           44,
           169,
           66,
           78,
           71,
           52,
           74,
           57,
           81,
           82,
           83,
           84,
           85,
           67,
           86,
           87,
           89,
           90,
           39,
           155,
           32,
           189,
           46,
           49,
           30,
           51,
           31,
           55,
           56,
           58,
           95,
           92,
           96,
           94,
           97,
           100,
           109,
           114,
           116,
           117,
           119,
           128,
           125,
           134,
           141,
           122,
           64,
           63,
           77,
           40,
           48,
           88,
           45,
           118,
           98,
           102,
           101,
           103,
           106,
           113,
           121,
           69,
           70,
           33,
           34,
           36,
           120,
           132,
           38,
           133,
           137,
           153,
           143,
           144,
           161,
           61,
           188,
           50,
           91,
           76,
           57,
           79,
           139,
           93,
           126,
           154,
           164,
           148,
           156,
           165,
           176,
           105,
           62,
           73,
           80,
           72,
           75,
           35,
           68,
           37,
           54,
           184,
           186,
           41,
           42,
           43,
           47,
           53,
           59,
           60,
           65,
           147,
           123,
           112,
           163,
           124,
           136,
           152,
           140,
           142,
           149,
           160,
           178,
           173,
           174,
           177,
           182,
           179,
           185,
           227,
           228,
           229,
           240,
           230,
           208,
           231,
           245,
           236,
           370,
           248,
           237,
           238,
           239,
           232,
           246,
           254,
           215,
           241,
           242,
           243,
           244,
           220,
           347,
           193,
           196,
           313,
           201,
           247,
           249,
           318,
           257,
           250,
           251,
           252,
           194,
           253,
           202,
           207,
           233,
           255,
           234,
           195,
           371,
           256,
           235,
           258,
           259,
           260,
           291,
           264,
           261,
           276,
           262,
           299,
           307,
           279,
           286,
           265,
           267,
           263,
           266,
           268,
           331,
           272,
           326,
           269,
           270,
           290,
           296,
           271,
           273,
           317,
           343,
           274,
           277,
           278,
           280,
           281,
           282,
           283,
           284,
           285,
           287,
           288,
           304,
           294,
           197,
           345,
           289,
           292,
           305,
           301,
           293,
           225,
           198,
           379,
           324,
           361,
           364,
           367,
           297,
           298,
           300,
           302,
           335,
           303,
           346,
           311,
           316,
           306,
           308,
           368,
           309,
           199,
           310,
           312,
           314,
           333,
           315,
           339,
           334,
           353,
           319,
           320,
           321,
           322,
           200,
           323,
           327,
           328,
           332,
           336,
           337,
           338,
           192,
           351,
           340,
           341,
           363,
           342,
           344,
           348,
           349,
           350,
           217,
           354,
           355,
           356,
           357,
           358,
           362,
           359,
           360,
           369,
           365,
           366,
           226,
           373,
           275,
           330,
           376,
           374,
           375,
           377,
           378,
           203,
           204,
           205,
           206,
           209,
           211,
           210,
           212,
           190,
           213,
           214,
           216,
           191,
           325,
           218,
           219,
           224,
           221,
           372,
           295,
           329,
           352,
           222,
           223,
           414,
           415,
           417,
           418,
           419,
           420,
           422,
           423,
           424,
           425,
           427,
           428,
           429,
           430,
           431,
           432,
           553,
           433,
           434,
           621,
           592,
           435,
           387,
           526,
           568,
           383,
           437,
           438,
           439,
           384,
           441,
           442,
           443,
           444,
           445,
           447,
           426,
           433,
           385,
           550,
           449,
           450,
           571,
           451,
           452,
           453,
           454,
           455,
           542,
           458,
           456,
           457,
           459,
           460,
           461,
           386,
           393,
           462,
           463,
           464,
           465,
           466,
           467,
           472,
           468,
           469,
           470,
           503,
           471,
           477,
           387,
           549,
           473,
           474,
           480,
           475,
           476,
           478,
           479,
           481,
           482,
           578,
           389,
           483,
           580,
           484,
           485,
           486,
           487,
           488,
           489,
           490,
           499,
           509,
           557,
           491,
           492,
           493,
           494,
           497,
           507,
           532,
           559,
           596,
           495,
           390,
           496,
           562,
           391,
           498,
           500,
           501,
           502,
           504,
           505,
           539,
           574,
           506,
           545,
           508,
           510,
           511,
           514,
           512,
           513,
           515,
           516,
           522,
           588,
           517,
           525,
           518,
           519,
           520,
           521,
           523,
           524,
           527,
           528,
           529,
           530,
           561,
           531,
           533,
           534,
           583,
           535,
           536,
           537,
           538,
           392,
           540,
           435,
           541,
           543,
           544,
           546,
           547,
           635,
           548,
           547,
           623,
           608,
           551,
           511,
           552,
           554,
           555,
           556,
           616,
           567,
           558,
           560,
           563,
           564,
           566,
           499,
           570,
           572,
           573,
           394,
           575,
           395,
           576,
           577,
           579,
           597,
           581,
           633,
           396,
           582,
           609,
           397,
           584,
           585,
           586,
           618,
           587,
           589,
           625,
           590,
           591,
           593,
           594,
           602,
           595,
           598,
           599,
           600,
           398,
           601,
           611,
           603,
           604,
           605,
           606,
           613,
           399,
           569,
           388,
           380,
           607,
           610,
           612,
           400,
           410,
           614,
           615,
           619,
           401,
           617,
           620,
           631,
           626,
           609,
           622,
           624,
           627,
           628,
           636,
           553,
           629,
           630,
           412,
           436,
           402,
           403,
           634,
           423,
           632,
           421,
           404,
           408,
           405,
           381,
           406,
           448,
           407,
           382,
           455,
           409,
           411,
           413,
           416,
           440,
           446,
           565
          ],
          "value": [
           65,
           21,
           12,
           2,
           93,
           57,
           2,
           99,
           34,
           10,
           53,
           92,
           2,
           64,
           49,
           20,
           90,
           2,
           90,
           3,
           3,
           2,
           16,
           12,
           32,
           2,
           65,
           2,
           64,
           2,
           8,
           2,
           89,
           2,
           51,
           8,
           2,
           2,
           8,
           2,
           2,
           8,
           10,
           9,
           2,
           4,
           2,
           2,
           2,
           2,
           8,
           3,
           2,
           2,
           2,
           5,
           2,
           2,
           3,
           2,
           2,
           24,
           2,
           6,
           2,
           5,
           2,
           3,
           3,
           2,
           2,
           2,
           2,
           14,
           2,
           2,
           3,
           3,
           2,
           5,
           3,
           2,
           2,
           2,
           2,
           4,
           5,
           2,
           2,
           2,
           2,
           2,
           7,
           4,
           2,
           2,
           4,
           6,
           2,
           5,
           8,
           3,
           4,
           10,
           2,
           3,
           4,
           2,
           6,
           2,
           2,
           5,
           2,
           6,
           3,
           2,
           3,
           5,
           7,
           2,
           7,
           2,
           6,
           2,
           3,
           2,
           4,
           2,
           4,
           7,
           2,
           11,
           3,
           5,
           3,
           2,
           2,
           2,
           2,
           7,
           3,
           4,
           4,
           2,
           3,
           3,
           2,
           2,
           3,
           2,
           2,
           2,
           8,
           2,
           3,
           2,
           2,
           2,
           3,
           5,
           2,
           2,
           2,
           2,
           2,
           22,
           4,
           2,
           15,
           2,
           2,
           3,
           2,
           4,
           9,
           5,
           9,
           2,
           2,
           2,
           3,
           5,
           2,
           5,
           2,
           2,
           2,
           4,
           5,
           2,
           2,
           2,
           2,
           2,
           3,
           2,
           2,
           2,
           2,
           3,
           2,
           2,
           7,
           2,
           2,
           7,
           2,
           2,
           2,
           2,
           2,
           4,
           2,
           3,
           5,
           2,
           2,
           2,
           3,
           2,
           3,
           2,
           3,
           4,
           2,
           2,
           3,
           2,
           2,
           3,
           2,
           5,
           3,
           3,
           3,
           2,
           2,
           2,
           3,
           16,
           3,
           2,
           4,
           2,
           4,
           2,
           2,
           2,
           2,
           3,
           2,
           4,
           4,
           4,
           20,
           4,
           4,
           3,
           4,
           6,
           2,
           2,
           2,
           2,
           3,
           7,
           3,
           3,
           2,
           4,
           4,
           6,
           4,
           2,
           2,
           2,
           8,
           5,
           2,
           3,
           2,
           2,
           2,
           4,
           5,
           2,
           2,
           3,
           3,
           2,
           3,
           6,
           2,
           2,
           2,
           3,
           3,
           2,
           5,
           2,
           2,
           7,
           2,
           2,
           3,
           3,
           2,
           4,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           5,
           5,
           2,
           2,
           2,
           4,
           3,
           5,
           4,
           2,
           5,
           2,
           2,
           2,
           2,
           2,
           8,
           3,
           2,
           2,
           4,
           3,
           2,
           2,
           2,
           15,
           2,
           5,
           2,
           2,
           2,
           2,
           2,
           3,
           3,
           2,
           3,
           2,
           2,
           3,
           2,
           2,
           2,
           2,
           3,
           2,
           3,
           2,
           4,
           3,
           2,
           7,
           9,
           2,
           7,
           3,
           4,
           5,
           2,
           2,
           2,
           2,
           2,
           2,
           4,
           4,
           2,
           2,
           9,
           2,
           2,
           2,
           2,
           2,
           9,
           2,
           2,
           6,
           2,
           2,
           2,
           3,
           2,
           2,
           4,
           1,
           1,
           3,
           2,
           1,
           1,
           2,
           1,
           2,
           2,
           2,
           2,
           2,
           2,
           3,
           2,
           2,
           2,
           2,
           3,
           2,
           11,
           1,
           1,
           3,
           2,
           2,
           1,
           1,
           3,
           3,
           2,
           1,
           1,
           3,
           3,
           3,
           2,
           2,
           2,
           1,
           2,
           2,
           4,
           2,
           2,
           2,
           2,
           1,
           2,
           4,
           3,
           1,
           3,
           1,
           3,
           2,
           1,
           2,
           3,
           2,
           3,
           3,
           2,
           2,
           1,
           5,
           2,
           1,
           2,
           3,
           4,
           2,
           4,
           2,
           2,
           2,
           1,
           3,
           2,
           5,
           2,
           3,
           2,
           1,
           9,
           3,
           4,
           1,
           2,
           2,
           2,
           1,
           4,
           2,
           7,
           2,
           3,
           3,
           1,
           3,
           1,
           2,
           1,
           3,
           5,
           1,
           1,
           4,
           2,
           2,
           2,
           3,
           2,
           1,
           1,
           2,
           3,
           4,
           4,
           2,
           2,
           2,
           3,
           2,
           3,
           1,
           2,
           2,
           2,
           1,
           3,
           2,
           2,
           2,
           2,
           4,
           1,
           2,
           4,
           2,
           2,
           1,
           1,
           2,
           1,
           1,
           3,
           1,
           1,
           2,
           2,
           2,
           2,
           1,
           2,
           2,
           2,
           2,
           2,
           2,
           1,
           4,
           3,
           2,
           3,
           4,
           3,
           1,
           3,
           1,
           2,
           1,
           1,
           2,
           2,
           1,
           4,
           3,
           2,
           1,
           1,
           2,
           7,
           1,
           2,
           2,
           2,
           1,
           4,
           2,
           2,
           2,
           2,
           3,
           3,
           1,
           2,
           2,
           2,
           2,
           1,
           2,
           1,
           1,
           5,
           2,
           3,
           2,
           4,
           3,
           2,
           1,
           2,
           2,
           2,
           3,
           2,
           1,
           1,
           2,
           2,
           2,
           1,
           1,
           2,
           1,
           2,
           2,
           3,
           1,
           2,
           1,
           1,
           1,
           1,
           2,
           4,
           2,
           2,
           3,
           2,
           2,
           2,
           1,
           4,
           5,
           2,
           2,
           3,
           7,
           1
          ]
         },
         "node": {
          "label": [
           "1_r0.0",
           "2_r0.0",
           "3_r0.0",
           "5_r0.0",
           "4_r0.0",
           "1_r0.05",
           "3_r0.05",
           "7_r0.05",
           "2_r0.05",
           "13_r0.05",
           "8_r0.05",
           "60_r0.05",
           "5_r0.05",
           "15_r0.05",
           "1_r0.1",
           "4_r0.1",
           "7_r0.1",
           "10_r0.1",
           "2_r0.1",
           "15_r0.1",
           "3_r0.1",
           "22_r0.1",
           "21_r0.1",
           "8_r0.1",
           "6_r0.1",
           "29_r0.1",
           "33_r0.1",
           "57_r0.1",
           "20_r0.1",
           "11_r0.1",
           "6_r0.5",
           "7_r0.5",
           "3_r0.5",
           "16_r0.5",
           "18_r0.5",
           "20_r0.5",
           "29_r0.5",
           "31_r0.5",
           "35_r0.5",
           "37_r0.5",
           "19_r0.5",
           "51_r0.5",
           "52_r0.5",
           "53_r0.5",
           "57_r0.5",
           "10_r0.5",
           "59_r0.5",
           "61_r0.5",
           "5_r0.5",
           "65_r0.5",
           "71_r0.5",
           "73_r0.5",
           "13_r0.5",
           "76_r0.5",
           "42_r0.5",
           "82_r0.5",
           "85_r0.5",
           "15_r0.5",
           "8_r0.5",
           "95_r0.5",
           "96_r0.5",
           "47_r0.5",
           "100_r0.5",
           "102_r0.5",
           "103_r0.5",
           "108_r0.5",
           "119_r0.5",
           "1_r0.5",
           "21_r0.5",
           "124_r0.5",
           "132_r0.5",
           "133_r0.5",
           "134_r0.5",
           "107_r0.5",
           "145_r0.5",
           "147_r0.5",
           "148_r0.5",
           "149_r0.5",
           "120_r0.5",
           "172_r0.5",
           "130_r0.5",
           "176_r0.5",
           "184_r0.5",
           "188_r0.5",
           "189_r0.5",
           "199_r0.5",
           "208_r0.5",
           "214_r0.5",
           "180_r0.5",
           "221_r0.5",
           "224_r0.5",
           "227_r0.5",
           "241_r0.5",
           "245_r0.5",
           "250_r0.5",
           "240_r0.5",
           "249_r0.5",
           "254_r0.5",
           "257_r0.5",
           "270_r0.5",
           "271_r0.5",
           "273_r0.5",
           "263_r0.5",
           "275_r0.5",
           "277_r0.5",
           "48_r0.5",
           "281_r0.5",
           "283_r0.5",
           "248_r0.5",
           "284_r0.5",
           "289_r0.5",
           "291_r0.5",
           "292_r0.5",
           "293_r0.5",
           "294_r0.5",
           "297_r0.5",
           "298_r0.5",
           "310_r0.5",
           "238_r0.5",
           "313_r0.5",
           "318_r0.5",
           "299_r0.5",
           "90_r0.5",
           "272_r0.5",
           "327_r0.5",
           "328_r0.5",
           "246_r0.5",
           "334_r0.5",
           "316_r0.5",
           "339_r0.5",
           "343_r0.5",
           "346_r0.5",
           "352_r0.5",
           "360_r0.5",
           "341_r0.5",
           "361_r0.5",
           "364_r0.5",
           "368_r0.5",
           "276_r0.5",
           "178_r0.5",
           "370_r0.5",
           "373_r0.5",
           "377_r0.5",
           "378_r0.5",
           "383_r0.5",
           "323_r0.5",
           "80_r0.5",
           "265_r0.5",
           "387_r0.5",
           "388_r0.5",
           "258_r0.5",
           "390_r0.5",
           "366_r0.5",
           "36_r0.5",
           "338_r0.5",
           "391_r0.5",
           "396_r0.5",
           "397_r0.5",
           "369_r0.5",
           "406_r0.5",
           "409_r0.5",
           "414_r0.5",
           "417_r0.5",
           "306_r0.5",
           "33_r0.5",
           "427_r0.5",
           "428_r0.5",
           "429_r0.5",
           "401_r0.5",
           "91_r0.5",
           "439_r0.5",
           "440_r0.5",
           "444_r0.5",
           "445_r0.5",
           "446_r0.5",
           "448_r0.5",
           "449_r0.5",
           "447_r0.5",
           "413_r0.5",
           "470_r0.5",
           "474_r0.5",
           "347_r0.5",
           "464_r0.5",
           "126_r0.5",
           "485_r0.5",
           "493_r0.5",
           "500_r0.5",
           "491_r0.5",
           "501_r0.5",
           "508_r0.5",
           "6_r0.75",
           "7_r0.75",
           "8_r0.75",
           "16_r0.75",
           "18_r0.75",
           "21_r0.75",
           "27_r0.75",
           "33_r0.75",
           "35_r0.75",
           "39_r0.75",
           "41_r0.75",
           "52_r0.75",
           "60_r0.75",
           "61_r0.75",
           "62_r0.75",
           "63_r0.75",
           "67_r0.75",
           "69_r0.75",
           "70_r0.75",
           "71_r0.75",
           "74_r0.75",
           "76_r0.75",
           "79_r0.75",
           "87_r0.75",
           "89_r0.75",
           "90_r0.75",
           "93_r0.75",
           "97_r0.75",
           "102_r0.75",
           "105_r0.75",
           "114_r0.75",
           "115_r0.75",
           "119_r0.75",
           "120_r0.75",
           "121_r0.75",
           "124_r0.75",
           "127_r0.75",
           "128_r0.75",
           "130_r0.75",
           "131_r0.75",
           "137_r0.75",
           "152_r0.75",
           "153_r0.75",
           "160_r0.75",
           "161_r0.75",
           "162_r0.75",
           "166_r0.75",
           "174_r0.75",
           "175_r0.75",
           "176_r0.75",
           "191_r0.75",
           "192_r0.75",
           "194_r0.75",
           "195_r0.75",
           "196_r0.75",
           "219_r0.75",
           "222_r0.75",
           "224_r0.75",
           "229_r0.75",
           "230_r0.75",
           "239_r0.75",
           "243_r0.75",
           "244_r0.75",
           "256_r0.75",
           "257_r0.75",
           "267_r0.75",
           "274_r0.75",
           "278_r0.75",
           "281_r0.75",
           "284_r0.75",
           "287_r0.75",
           "301_r0.75",
           "306_r0.75",
           "313_r0.75",
           "319_r0.75",
           "320_r0.75",
           "322_r0.75",
           "327_r0.75",
           "340_r0.75",
           "349_r0.75",
           "350_r0.75",
           "351_r0.75",
           "352_r0.75",
           "356_r0.75",
           "359_r0.75",
           "360_r0.75",
           "362_r0.75",
           "364_r0.75",
           "366_r0.75",
           "367_r0.75",
           "371_r0.75",
           "384_r0.75",
           "386_r0.75",
           "388_r0.75",
           "389_r0.75",
           "391_r0.75",
           "397_r0.75",
           "399_r0.75",
           "401_r0.75",
           "420_r0.75",
           "425_r0.75",
           "426_r0.75",
           "427_r0.75",
           "435_r0.75",
           "436_r0.75",
           "438_r0.75",
           "440_r0.75",
           "445_r0.75",
           "447_r0.75",
           "450_r0.75",
           "453_r0.75",
           "456_r0.75",
           "457_r0.75",
           "460_r0.75",
           "462_r0.75",
           "463_r0.75",
           "465_r0.75",
           "468_r0.75",
           "470_r0.75",
           "479_r0.75",
           "491_r0.75",
           "495_r0.75",
           "496_r0.75",
           "501_r0.75",
           "504_r0.75",
           "510_r0.75",
           "512_r0.75",
           "514_r0.75",
           "515_r0.75",
           "516_r0.75",
           "521_r0.75",
           "530_r0.75",
           "532_r0.75",
           "541_r0.75",
           "542_r0.75",
           "545_r0.75",
           "547_r0.75",
           "548_r0.75",
           "549_r0.75",
           "551_r0.75",
           "561_r0.75",
           "562_r0.75",
           "564_r0.75",
           "565_r0.75",
           "568_r0.75",
           "572_r0.75",
           "577_r0.75",
           "578_r0.75",
           "583_r0.75",
           "595_r0.75",
           "600_r0.75",
           "604_r0.75",
           "619_r0.75",
           "620_r0.75",
           "626_r0.75",
           "629_r0.75",
           "633_r0.75",
           "643_r0.75",
           "644_r0.75",
           "645_r0.75",
           "646_r0.75",
           "648_r0.75",
           "652_r0.75",
           "661_r0.75",
           "664_r0.75",
           "667_r0.75",
           "674_r0.75",
           "676_r0.75",
           "677_r0.75",
           "679_r0.75",
           "680_r0.75",
           "686_r0.75",
           "696_r0.75",
           "697_r0.75",
           "699_r0.75",
           "702_r0.75",
           "707_r0.75",
           "708_r0.75",
           "711_r0.75",
           "713_r0.75",
           "721_r0.75",
           "724_r0.75",
           "728_r0.75",
           "731_r0.75",
           "732_r0.75",
           "737_r0.75",
           "738_r0.75",
           "739_r0.75",
           "748_r0.75",
           "752_r0.75",
           "6_r1.0",
           "7_r1.0",
           "3_r1.0",
           "17_r1.0",
           "18_r1.0",
           "25_r1.0",
           "30_r1.0",
           "33_r1.0",
           "34_r1.0",
           "35_r1.0",
           "45_r1.0",
           "48_r1.0",
           "58_r1.0",
           "62_r1.0",
           "65_r1.0",
           "66_r1.0",
           "67_r1.0",
           "68_r1.0",
           "74_r1.0",
           "76_r1.0",
           "78_r1.0",
           "80_r1.0",
           "83_r1.0",
           "84_r1.0",
           "86_r1.0",
           "89_r1.0",
           "93_r1.0",
           "94_r1.0",
           "95_r1.0",
           "96_r1.0",
           "99_r1.0",
           "101_r1.0",
           "103_r1.0",
           "105_r1.0",
           "109_r1.0",
           "111_r1.0",
           "113_r1.0",
           "122_r1.0",
           "123_r1.0",
           "127_r1.0",
           "128_r1.0",
           "129_r1.0",
           "130_r1.0",
           "134_r1.0",
           "135_r1.0",
           "137_r1.0",
           "139_r1.0",
           "140_r1.0",
           "141_r1.0",
           "149_r1.0",
           "159_r1.0",
           "160_r1.0",
           "165_r1.0",
           "166_r1.0",
           "167_r1.0",
           "170_r1.0",
           "173_r1.0",
           "177_r1.0",
           "178_r1.0",
           "179_r1.0",
           "180_r1.0",
           "190_r1.0",
           "191_r1.0",
           "193_r1.0",
           "194_r1.0",
           "195_r1.0",
           "196_r1.0",
           "212_r1.0",
           "213_r1.0",
           "215_r1.0",
           "216_r1.0",
           "218_r1.0",
           "219_r1.0",
           "224_r1.0",
           "225_r1.0",
           "226_r1.0",
           "235_r1.0",
           "236_r1.0",
           "238_r1.0",
           "239_r1.0",
           "243_r1.0",
           "244_r1.0",
           "247_r1.0",
           "248_r1.0",
           "249_r1.0",
           "253_r1.0",
           "260_r1.0",
           "268_r1.0",
           "275_r1.0",
           "276_r1.0",
           "278_r1.0",
           "283_r1.0",
           "289_r1.0",
           "285_r1.0",
           "299_r1.0",
           "308_r1.0",
           "310_r1.0",
           "311_r1.0",
           "312_r1.0",
           "313_r1.0",
           "315_r1.0",
           "320_r1.0",
           "323_r1.0",
           "257_r1.0",
           "326_r1.0",
           "328_r1.0",
           "330_r1.0",
           "331_r1.0",
           "335_r1.0",
           "348_r1.0",
           "350_r1.0",
           "354_r1.0",
           "355_r1.0",
           "357_r1.0",
           "266_r1.0",
           "364_r1.0",
           "366_r1.0",
           "298_r1.0",
           "387_r1.0",
           "391_r1.0",
           "392_r1.0",
           "393_r1.0",
           "394_r1.0",
           "294_r1.0",
           "400_r1.0",
           "401_r1.0",
           "407_r1.0",
           "408_r1.0",
           "411_r1.0",
           "415_r1.0",
           "420_r1.0",
           "422_r1.0",
           "428_r1.0",
           "432_r1.0",
           "434_r1.0",
           "436_r1.0",
           "437_r1.0",
           "413_r1.0",
           "441_r1.0",
           "443_r1.0",
           "447_r1.0",
           "451_r1.0",
           "453_r1.0",
           "454_r1.0",
           "465_r1.0",
           "476_r1.0",
           "482_r1.0",
           "485_r1.0",
           "491_r1.0",
           "492_r1.0",
           "495_r1.0",
           "498_r1.0",
           "501_r1.0",
           "507_r1.0",
           "511_r1.0",
           "514_r1.0",
           "515_r1.0",
           "516_r1.0",
           "520_r1.0",
           "529_r1.0",
           "530_r1.0",
           "534_r1.0",
           "227_r1.0",
           "542_r1.0",
           "546_r1.0",
           "539_r1.0",
           "550_r1.0",
           "552_r1.0",
           "553_r1.0",
           "554_r1.0",
           "561_r1.0",
           "344_r1.0",
           "569_r1.0",
           "571_r1.0",
           "573_r1.0",
           "574_r1.0",
           "575_r1.0",
           "576_r1.0",
           "579_r1.0",
           "583_r1.0",
           "586_r1.0",
           "532_r1.0",
           "228_r1.0",
           "594_r1.0",
           "595_r1.0",
           "64_r1.0",
           "599_r1.0",
           "47_r1.0",
           "600_r1.0",
           "197_r1.0",
           "619_r1.0",
           "145_r1.0",
           "623_r1.0",
           "629_r1.0",
           "261_r1.0",
           "648_r1.0",
           "462_r1.0",
           "652_r1.0",
           "653_r1.0",
           "403_r1.0",
           "473_r1.0",
           "396_r1.0",
           "664_r1.0",
           "472_r1.0",
           "675_r1.0",
           "676_r1.0",
           "660_r1.0",
           "677_r1.0",
           "679_r1.0",
           "680_r1.0",
           "683_r1.0",
           "644_r1.0",
           "651_r1.0",
           "695_r1.0",
           "697_r1.0",
           "703_r1.0",
           "658_r1.0",
           "705_r1.0",
           "706_r1.0",
           "707_r1.0",
           "710_r1.0",
           "711_r1.0",
           "719_r1.0",
           "722_r1.0",
           "735_r1.0",
           "736_r1.0",
           "656_r1.0",
           "740_r1.0",
           "746_r1.0",
           "748_r1.0",
           "750_r1.0",
           "657_r1.0",
           "751_r1.0",
           "754_r1.0",
           "755_r1.0",
           "757_r1.0",
           "210_r1.0",
           "765_r1.0",
           "72_r1.0",
           "766_r1.0",
           "768_r1.0",
           "466_r1.0",
           "776_r1.0",
           "612_r1.0",
           "777_r1.0",
           "729_r1.0",
           "747_r1.0",
           "783_r1.0",
           "541_r1.0",
           "60_r1.0",
           "792_r1.0",
           "38_r1.0",
           "609_r1.0",
           "641_r1.0",
           "98_r1.0",
           "815_r1.0",
           "633_r1.0"
          ],
          "pad": 15,
          "thickness": 20
         },
         "type": "sankey"
        }
       ],
       "layout": {
        "height": 1000,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "ride or die: 0.75 max res"
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# take only the columns with modularity data\n",
    "ovi_HB_chunk = ride_or_die_df[['0.0','0.05','0.1','0.5','0.75','1.0']].copy()\n",
    "\n",
    "create_Sankey(ovi_HB_chunk,'ride or die: 0.75 max res')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ride or die from 0.5 max res\n",
    "Seems like the ride or dies are a smaller and smaller set with lower max resolutions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the max res to use\n",
    "max_res = '0.5'\n",
    "\n",
    "# the df to use since we don't need body ids\n",
    "test = ovi_in_node_df[['0.0','0.05','0.1','0.5']].copy()\n",
    "\n",
    "# get a list of module ids\n",
    "module_ids = test[max_res].unique().tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 346,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1006928515</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>CL300_R</td>\n",
       "      <td>CL300</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL13</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[12083, 10523, 16816]</td>\n",
       "      <td>{'INP': {'pre': 79, 'post': 126, 'downstream':...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(R)', 'IB', 'ICL(R)', 'INP', 'SCL(R)', 'S...</td>\n",
       "      <td>['ATL(R)', 'IB', 'ICL(R)', 'INP', 'SCL(R)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1007260806</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>CL301_R</td>\n",
       "      <td>CL301</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL13</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[13524, 10108, 16480]</td>\n",
       "      <td>{'INP': {'pre': 40, 'post': 128, 'downstream':...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['GOR(R)', 'IB', 'ICL(R)', 'INP', 'PLP(R)', 'S...</td>\n",
       "      <td>['IB', 'ICL(R)', 'INP', 'PLP(R)', 'SCL(R)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1008085163</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>True</td>\n",
       "      <td>Leaves</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'pre': 10, 'post': 9, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']</td>\n",
       "      <td>['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1008102479</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>(PVM01)_L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'post': 4, 'upstream': 4, 'mito': ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['EPA(L)', 'GOR(L)', 'ICL(L)', 'INP', 'SCL(L)'...</td>\n",
       "      <td>['GC', 'INP', 'SCL(L)', 'SPS(L)', 'SPS(R)', 'V...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1008966615</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>CL300_R</td>\n",
       "      <td>CL300</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL13</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[13492, 9603, 16400]</td>\n",
       "      <td>{'INP': {'pre': 42, 'post': 132, 'downstream':...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['IB', 'ICL(R)', 'INP', 'PLP(R)', 'SCL(R)', 'S...</td>\n",
       "      <td>['IB', 'ICL(R)', 'INP', 'PLP(R)', 'VLNP(R)']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2503</th>\n",
       "      <td>986098785</td>\n",
       "      <td>2504</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>427</td>\n",
       "      <td>644</td>\n",
       "      <td>676</td>\n",
       "      <td>AOTU008_a_R</td>\n",
       "      <td>AOTU008_a</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADL08</td>\n",
       "      <td>258.5</td>\n",
       "      <td>[10014, 33018, 17344]</td>\n",
       "      <td>{'SNP(R)': {'pre': 111, 'post': 179, 'downstre...</td>\n",
       "      <td>aSP11b candidates</td>\n",
       "      <td>['AOTU(R)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CR...</td>\n",
       "      <td>['AOTU(R)', 'ATL(R)', 'IB', 'INP', 'MB(+ACA)(R...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2505</th>\n",
       "      <td>987117151</td>\n",
       "      <td>2506</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>53</td>\n",
       "      <td>63</td>\n",
       "      <td>68</td>\n",
       "      <td>LAL010_R</td>\n",
       "      <td>LAL010</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADM03</td>\n",
       "      <td>292.5</td>\n",
       "      <td>[15520, 32234, 10016]</td>\n",
       "      <td>{'SNP(R)': {'pre': 2, 'post': 82, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2506</th>\n",
       "      <td>987273073</td>\n",
       "      <td>2507</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>409</td>\n",
       "      <td>604</td>\n",
       "      <td>629</td>\n",
       "      <td>(PVL05)_L</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 65, 'post': 52, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2509</th>\n",
       "      <td>988909130</td>\n",
       "      <td>2510</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>389</td>\n",
       "      <td>559</td>\n",
       "      <td>572</td>\n",
       "      <td>FB5V_R</td>\n",
       "      <td>FB5V</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM10</td>\n",
       "      <td>296.5</td>\n",
       "      <td>[13226, 32024, 18600]</td>\n",
       "      <td>{'SNP(R)': {'pre': 1, 'post': 28, 'downstream'...</td>\n",
       "      <td>CRELALFB5</td>\n",
       "      <td>['AB(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX',...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2510</th>\n",
       "      <td>989228019</td>\n",
       "      <td>2511</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>389</td>\n",
       "      <td>559</td>\n",
       "      <td>572</td>\n",
       "      <td>FB5V_R</td>\n",
       "      <td>FB5V</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM10</td>\n",
       "      <td>296.5</td>\n",
       "      <td>[12516, 33587, 18648]</td>\n",
       "      <td>{'SNP(R)': {'pre': 1, 'post': 45, 'downstream'...</td>\n",
       "      <td>CRELALFB5</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>581 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id   key  0.0  0.05  0.1  0.5  0.75  1.0     instance  \\\n",
       "2     1006928515     3    1     1    1    3     3    3      CL300_R   \n",
       "3     1007260806     4    2     1    1    4     4    4      CL301_R   \n",
       "5     1008085163     6    1     1    1    6     6    6          NaN   \n",
       "6     1008102479     7    2     1    1    7     7    7    (PVM01)_L   \n",
       "10    1008966615    11    1     1    1    3     8    3      CL300_R   \n",
       "...          ...   ...  ...   ...  ...  ...   ...  ...          ...   \n",
       "2503   986098785  2504    2     1    6  427   644  676  AOTU008_a_R   \n",
       "2505   987117151  2506    2     7    7   53    63   68     LAL010_R   \n",
       "2506   987273073  2507    3     8    8  409   604  629    (PVL05)_L   \n",
       "2509   988909130  2510    2     3    4  389   559  572       FB5V_R   \n",
       "2510   989228019  2511    2     3    4  389   559  572       FB5V_R   \n",
       "\n",
       "       celltype  ...  status  cropped     statusLabel  cellBodyFiber  \\\n",
       "2         CL300  ...  Traced    False  Roughly traced          PVL13   \n",
       "3         CL301  ...  Traced    False  Roughly traced          PVL13   \n",
       "5           NaN  ...  Traced     True          Leaves            NaN   \n",
       "6           NaN  ...  Traced    False  Roughly traced            NaN   \n",
       "10        CL300  ...  Traced    False  Roughly traced          PVL13   \n",
       "...         ...  ...     ...      ...             ...            ...   \n",
       "2503  AOTU008_a  ...  Traced    False  Roughly traced          ADL08   \n",
       "2505     LAL010  ...  Traced    False  Roughly traced          ADM03   \n",
       "2506        NaN  ...  Traced    False  Roughly traced            NaN   \n",
       "2509       FB5V  ...  Traced    False  Roughly traced          AVM10   \n",
       "2510       FB5V  ...  Traced    False  Roughly traced          AVM10   \n",
       "\n",
       "      somaRadius           somaLocation  \\\n",
       "2          236.0  [12083, 10523, 16816]   \n",
       "3          236.0  [13524, 10108, 16480]   \n",
       "5            NaN                    NaN   \n",
       "6            NaN                    NaN   \n",
       "10         236.0   [13492, 9603, 16400]   \n",
       "...          ...                    ...   \n",
       "2503       258.5  [10014, 33018, 17344]   \n",
       "2505       292.5  [15520, 32234, 10016]   \n",
       "2506         NaN                    NaN   \n",
       "2509       296.5  [13226, 32024, 18600]   \n",
       "2510       296.5  [12516, 33587, 18648]   \n",
       "\n",
       "                                                roiInfo              notes  \\\n",
       "2     {'INP': {'pre': 79, 'post': 126, 'downstream':...                NaN   \n",
       "3     {'INP': {'pre': 40, 'post': 128, 'downstream':...                NaN   \n",
       "5     {'SNP(L)': {'pre': 10, 'post': 9, 'downstream'...                NaN   \n",
       "6     {'SNP(L)': {'post': 4, 'upstream': 4, 'mito': ...                NaN   \n",
       "10    {'INP': {'pre': 42, 'post': 132, 'downstream':...                NaN   \n",
       "...                                                 ...                ...   \n",
       "2503  {'SNP(R)': {'pre': 111, 'post': 179, 'downstre...  aSP11b candidates   \n",
       "2505  {'SNP(R)': {'pre': 2, 'post': 82, 'downstream'...                NaN   \n",
       "2506  {'SNP(R)': {'pre': 65, 'post': 52, 'downstream...                NaN   \n",
       "2509  {'SNP(R)': {'pre': 1, 'post': 28, 'downstream'...          CRELALFB5   \n",
       "2510  {'SNP(R)': {'pre': 1, 'post': 45, 'downstream'...          CRELALFB5   \n",
       "\n",
       "                                              inputRois  \\\n",
       "2     ['ATL(R)', 'IB', 'ICL(R)', 'INP', 'SCL(R)', 'S...   \n",
       "3     ['GOR(R)', 'IB', 'ICL(R)', 'INP', 'PLP(R)', 'S...   \n",
       "5           ['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']   \n",
       "6     ['EPA(L)', 'GOR(L)', 'ICL(L)', 'INP', 'SCL(L)'...   \n",
       "10    ['IB', 'ICL(R)', 'INP', 'PLP(R)', 'SCL(R)', 'S...   \n",
       "...                                                 ...   \n",
       "2503  ['AOTU(R)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CR...   \n",
       "2505  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...   \n",
       "2506  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2509  ['AB(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX',...   \n",
       "2510  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "\n",
       "                                             outputRois  \n",
       "2     ['ATL(R)', 'IB', 'ICL(R)', 'INP', 'SCL(R)', 'S...  \n",
       "3     ['IB', 'ICL(R)', 'INP', 'PLP(R)', 'SCL(R)', 'S...  \n",
       "5           ['ATL(L)', 'IB', 'INP', 'SMP(L)', 'SNP(L)']  \n",
       "6     ['GC', 'INP', 'SCL(L)', 'SPS(L)', 'SPS(R)', 'V...  \n",
       "10         ['IB', 'ICL(R)', 'INP', 'PLP(R)', 'VLNP(R)']  \n",
       "...                                                 ...  \n",
       "2503  ['AOTU(R)', 'ATL(R)', 'IB', 'INP', 'MB(+ACA)(R...  \n",
       "2505  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...  \n",
       "2506  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2509  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "2510  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "\n",
       "[581 rows x 26 columns]"
      ]
     },
     "execution_count": 346,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create an empty list to store the module ids of the riders\n",
    "ride_or_die_modules = []\n",
    "\n",
    "for i in module_ids:\n",
    "    # grab the rows that have the module id\n",
    "    test_mod = test[test[max_res]==i]\n",
    "\n",
    "    # first test whether there is more than one row since singletons won't count\n",
    "    if test_mod.shape[0] > 1:\n",
    "\n",
    "        # tests for number of unique rows\n",
    "        if test_mod.drop_duplicates().shape[0] == 1:\n",
    "            # if all rows are duplicates of each other, then append the module id to the list\n",
    "            ride_or_die_modules.append(i)\n",
    "\n",
    "# retrieve the rows of the original dataframe that have ride or die modules\n",
    "ride_or_die_df = ovi_in_node_df[ovi_in_node_df[max_res].isin(ride_or_die_modules)]\n",
    "ride_or_die_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make a Sankey."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 347,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "link": {
          "source": [
           0,
           0,
           0,
           1,
           1,
           1,
           1,
           2,
           2,
           2,
           4,
           3,
           3,
           9,
           9,
           12,
           12,
           12,
           5,
           5,
           5,
           5,
           11,
           6,
           10,
           7,
           7,
           8,
           8,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           22,
           22,
           22,
           22,
           22,
           22,
           22,
           22,
           22,
           22,
           22,
           22,
           22,
           22,
           22,
           19,
           18,
           21,
           23,
           23,
           23,
           23,
           23,
           23,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           25,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           50,
           51,
           51,
           52,
           53,
           54,
           55,
           56,
           57,
           57,
           58,
           30,
           30,
           30,
           30,
           30,
           30,
           30,
           59,
           60,
           61,
           62,
           63,
           64,
           64,
           65,
           66,
           67,
           67,
           68,
           68,
           69,
           69,
           31,
           70,
           71,
           72,
           32,
           32,
           73,
           74,
           33,
           33,
           75,
           75,
           75,
           75,
           75,
           76,
           76,
           76,
           77,
           78,
           78,
           78,
           79,
           79,
           80,
           81,
           81,
           82,
           82,
           83,
           83,
           83,
           83,
           83,
           83,
           84,
           84,
           85,
           86,
           87,
           88,
           89,
           89,
           90,
           90,
           91,
           91,
           91,
           92,
           93,
           93,
           94,
           95,
           96,
           97,
           98,
           99,
           100,
           100,
           100,
           101,
           101,
           34,
           34,
           34,
           102,
           102,
           102,
           102,
           103,
           103,
           103,
           103,
           103,
           103,
           103,
           103,
           103,
           104,
           105,
           105,
           106,
           106,
           107,
           108,
           109,
           109,
           110,
           110,
           111,
           111,
           111,
           112,
           113,
           113,
           114,
           115,
           115,
           116,
           117,
           117,
           118,
           35,
           119,
           120,
           121,
           122,
           122,
           122,
           123,
           124,
           124,
           124,
           124,
           124,
           125,
           126,
           127,
           127,
           127,
           128,
           36,
           129,
           130,
           131,
           132,
           133,
           133,
           133,
           134,
           135,
           136,
           136,
           136,
           26,
           26,
           137,
           137,
           138,
           139,
           140,
           141,
           142,
           143,
           144,
           145,
           37,
           37,
           37,
           37,
           37,
           37,
           146,
           147,
           148,
           149,
           150,
           151,
           151,
           152,
           153,
           154,
           155,
           156,
           157,
           38,
           38,
           38,
           158,
           159,
           27,
           160,
           161,
           162,
           39,
           39,
           39,
           40,
           41,
           42,
           43,
           43,
           44,
           28,
           28,
           45,
           46,
           46,
           46,
           47,
           47,
           29,
           48,
           48,
           49,
           49,
           189,
           206,
           190,
           191,
           192,
           192,
           192,
           193,
           194,
           195,
           196,
           197,
           198,
           199,
           168,
           273,
           273,
           216,
           200,
           201,
           202,
           232,
           232,
           203,
           203,
           203,
           204,
           205,
           205,
           205,
           205,
           215,
           215,
           207,
           208,
           209,
           210,
           169,
           211,
           212,
           213,
           214,
           217,
           218,
           221,
           222,
           222,
           222,
           223,
           170,
           224,
           225,
           171,
           226,
           227,
           228,
           229,
           356,
           248,
           230,
           231,
           233,
           271,
           234,
           234,
           234,
           234,
           235,
           235,
           317,
           236,
           236,
           237,
           238,
           238,
           239,
           287,
           240,
           240,
           241,
           241,
           241,
           241,
           241,
           242,
           242,
           242,
           242,
           172,
           172,
           243,
           272,
           272,
           301,
           244,
           245,
           246,
           247,
           247,
           249,
           250,
           251,
           252,
           253,
           254,
           335,
           306,
           255,
           256,
           257,
           257,
           257,
           257,
           325,
           325,
           325,
           258,
           259,
           260,
           261,
           173,
           163,
           262,
           263,
           297,
           264,
           264,
           266,
           265,
           265,
           267,
           339,
           339,
           174,
           174,
           268,
           269,
           314,
           282,
           270,
           270,
           274,
           275,
           276,
           277,
           277,
           277,
           278,
           278,
           279,
           280,
           280,
           281,
           175,
           175,
           175,
           283,
           284,
           284,
           285,
           286,
           288,
           289,
           296,
           290,
           291,
           291,
           291,
           292,
           220,
           164,
           164,
           293,
           298,
           294,
           295,
           326,
           299,
           300,
           302,
           303,
           304,
           304,
           304,
           305,
           307,
           308,
           308,
           309,
           316,
           310,
           311,
           312,
           313,
           313,
           313,
           176,
           332,
           315,
           315,
           328,
           318,
           319,
           320,
           371,
           321,
           322,
           323,
           324,
           327,
           329,
           329,
           330,
           330,
           373,
           331,
           333,
           334,
           350,
           336,
           364,
           337,
           177,
           338,
           338,
           357,
           178,
           179,
           340,
           341,
           342,
           342,
           343,
           344,
           344,
           365,
           345,
           359,
           346,
           347,
           348,
           348,
           349,
           351,
           352,
           353,
           354,
           180,
           355,
           358,
           165,
           165,
           165,
           360,
           372,
           361,
           362,
           363,
           367,
           368,
           369,
           369,
           370,
           181,
           181,
           181,
           181,
           181,
           182,
           166,
           183,
           184,
           184,
           167,
           185,
           185,
           186,
           219,
           366,
           187,
           187,
           187,
           187,
           187,
           188
          ],
          "target": [
           9,
           5,
           11,
           5,
           6,
           7,
           8,
           11,
           6,
           8,
           12,
           9,
           10,
           17,
           20,
           24,
           13,
           16,
           13,
           19,
           21,
           20,
           23,
           14,
           22,
           18,
           15,
           25,
           16,
           91,
           93,
           95,
           102,
           110,
           111,
           113,
           114,
           115,
           117,
           120,
           135,
           137,
           138,
           144,
           145,
           146,
           147,
           148,
           152,
           157,
           83,
           85,
           88,
           99,
           124,
           142,
           42,
           55,
           56,
           30,
           59,
           60,
           65,
           66,
           68,
           69,
           70,
           71,
           72,
           73,
           74,
           36,
           133,
           26,
           27,
           162,
           44,
           28,
           46,
           29,
           48,
           75,
           76,
           78,
           79,
           80,
           81,
           82,
           92,
           94,
           98,
           100,
           104,
           112,
           118,
           126,
           53,
           52,
           63,
           86,
           87,
           89,
           90,
           97,
           101,
           57,
           58,
           31,
           34,
           116,
           35,
           119,
           123,
           128,
           129,
           132,
           141,
           38,
           161,
           45,
           62,
           67,
           77,
           84,
           106,
           109,
           130,
           134,
           136,
           143,
           153,
           155,
           159,
           50,
           51,
           61,
           64,
           32,
           37,
           160,
           39,
           40,
           41,
           43,
           47,
           49,
           54,
           33,
           96,
           103,
           105,
           107,
           108,
           121,
           122,
           125,
           127,
           131,
           139,
           140,
           149,
           150,
           151,
           154,
           156,
           158,
           194,
           192,
           195,
           196,
           197,
           198,
           200,
           204,
           205,
           315,
           207,
           168,
           201,
           202,
           217,
           223,
           225,
           185,
           210,
           211,
           212,
           213,
           214,
           199,
           364,
           215,
           218,
           302,
           219,
           202,
           221,
           222,
           223,
           169,
           224,
           226,
           227,
           203,
           170,
           228,
           229,
           171,
           304,
           232,
           230,
           238,
           249,
           265,
           231,
           250,
           265,
           233,
           234,
           266,
           310,
           235,
           240,
           236,
           237,
           242,
           238,
           239,
           241,
           272,
           253,
           306,
           339,
           296,
           287,
           243,
           244,
           245,
           246,
           247,
           248,
           300,
           251,
           314,
           252,
           264,
           285,
           254,
           255,
           298,
           256,
           257,
           258,
           259,
           260,
           261,
           317,
           262,
           279,
           263,
           270,
           206,
           172,
           366,
           264,
           284,
           298,
           332,
           273,
           335,
           267,
           291,
           326,
           373,
           333,
           334,
           357,
           268,
           269,
           293,
           271,
           295,
           273,
           274,
           282,
           275,
           276,
           277,
           278,
           345,
           346,
           280,
           281,
           340,
           283,
           284,
           363,
           286,
           288,
           340,
           289,
           173,
           290,
           292,
           294,
           356,
           297,
           319,
           299,
           301,
           371,
           329,
           350,
           372,
           303,
           305,
           267,
           307,
           365,
           308,
           174,
           311,
           312,
           313,
           318,
           320,
           321,
           323,
           322,
           324,
           325,
           295,
           361,
           163,
           167,
           327,
           344,
           328,
           331,
           336,
           337,
           338,
           341,
           342,
           343,
           209,
           175,
           220,
           330,
           187,
           188,
           347,
           348,
           349,
           351,
           352,
           353,
           358,
           354,
           355,
           175,
           359,
           360,
           362,
           193,
           176,
           315,
           367,
           330,
           164,
           368,
           369,
           370,
           206,
           199,
           177,
           178,
           179,
           180,
           192,
           181,
           182,
           316,
           165,
           183,
           216,
           164,
           184,
           309,
           186,
           166,
           189,
           191,
           190,
           208,
           402,
           421,
           404,
           405,
           406,
           408,
           545,
           407,
           409,
           410,
           411,
           412,
           413,
           414,
           378,
           500,
           532,
           434,
           415,
           416,
           417,
           452,
           563,
           418,
           624,
           593,
           419,
           420,
           382,
           523,
           571,
           436,
           433,
           423,
           425,
           426,
           427,
           379,
           428,
           429,
           430,
           431,
           435,
           437,
           440,
           441,
           550,
           445,
           442,
           380,
           443,
           444,
           381,
           446,
           447,
           448,
           449,
           607,
           470,
           450,
           451,
           453,
           498,
           454,
           467,
           505,
           501,
           455,
           459,
           556,
           456,
           463,
           457,
           458,
           460,
           460,
           519,
           461,
           562,
           462,
           476,
           485,
           499,
           580,
           478,
           463,
           471,
           495,
           382,
           553,
           464,
           623,
           499,
           539,
           465,
           466,
           468,
           469,
           583,
           472,
           473,
           474,
           475,
           476,
           477,
           579,
           544,
           479,
           480,
           481,
           494,
           502,
           560,
           570,
           604,
           612,
           482,
           483,
           484,
           486,
           384,
           374,
           487,
           488,
           534,
           489,
           515,
           491,
           490,
           537,
           492,
           585,
           626,
           564,
           385,
           493,
           496,
           555,
           512,
           497,
           546,
           503,
           504,
           506,
           507,
           513,
           590,
           508,
           521,
           509,
           510,
           537,
           511,
           547,
           386,
           609,
           514,
           516,
           531,
           517,
           518,
           520,
           522,
           533,
           524,
           605,
           525,
           526,
           527,
           439,
           557,
           375,
           528,
           535,
           529,
           530,
           573,
           536,
           538,
           540,
           541,
           542,
           592,
           613,
           543,
           547,
           420,
           548,
           549,
           383,
           528,
           551,
           552,
           554,
           627,
           615,
           387,
           577,
           622,
           392,
           574,
           558,
           559,
           561,
           635,
           565,
           566,
           568,
           569,
           516,
           494,
           575,
           424,
           630,
           638,
           576,
           578,
           526,
           597,
           581,
           620,
           582,
           388,
           584,
           598,
           608,
           389,
           390,
           586,
           587,
           588,
           619,
           589,
           591,
           629,
           621,
           521,
           611,
           521,
           594,
           595,
           606,
           596,
           599,
           600,
           601,
           602,
           391,
           603,
           610,
           572,
           383,
           376,
           614,
           637,
           616,
           617,
           618,
           628,
           631,
           636,
           632,
           633,
           399,
           422,
           392,
           393,
           634,
           394,
           377,
           395,
           434,
           396,
           374,
           441,
           397,
           398,
           438,
           625,
           400,
           403,
           424,
           432,
           567,
           401
          ],
          "value": [
           85,
           17,
           6,
           95,
           50,
           80,
           2,
           14,
           6,
           70,
           88,
           2,
           66,
           62,
           25,
           83,
           2,
           3,
           94,
           3,
           3,
           12,
           20,
           56,
           66,
           2,
           78,
           2,
           70,
           8,
           3,
           8,
           4,
           9,
           5,
           5,
           2,
           3,
           3,
           2,
           2,
           9,
           2,
           2,
           2,
           2,
           5,
           2,
           2,
           3,
           36,
           2,
           6,
           2,
           10,
           3,
           3,
           2,
           4,
           17,
           2,
           2,
           4,
           3,
           4,
           7,
           3,
           2,
           2,
           2,
           4,
           5,
           4,
           3,
           2,
           2,
           2,
           8,
           6,
           2,
           4,
           10,
           4,
           9,
           5,
           4,
           8,
           5,
           2,
           3,
           3,
           5,
           2,
           2,
           2,
           2,
           3,
           2,
           3,
           3,
           2,
           2,
           5,
           2,
           6,
           10,
           2,
           3,
           7,
           2,
           2,
           2,
           2,
           3,
           4,
           5,
           4,
           4,
           3,
           3,
           2,
           3,
           2,
           3,
           2,
           2,
           2,
           2,
           10,
           2,
           3,
           4,
           2,
           2,
           4,
           2,
           3,
           5,
           22,
           2,
           5,
           2,
           4,
           11,
           6,
           10,
           2,
           4,
           5,
           14,
           2,
           2,
           5,
           2,
           6,
           2,
           6,
           5,
           2,
           2,
           2,
           2,
           3,
           3,
           2,
           2,
           2,
           3,
           1,
           2,
           3,
           2,
           2,
           4,
           7,
           3,
           2,
           1,
           4,
           1,
           2,
           1,
           3,
           5,
           2,
           2,
           2,
           2,
           3,
           2,
           1,
           4,
           3,
           2,
           1,
           1,
           3,
           5,
           2,
           3,
           3,
           2,
           2,
           4,
           1,
           2,
           4,
           1,
           3,
           2,
           2,
           2,
           3,
           1,
           1,
           2,
           1,
           2,
           7,
           1,
           1,
           3,
           2,
           4,
           1,
           7,
           1,
           4,
           28,
           3,
           1,
           1,
           2,
           1,
           2,
           1,
           2,
           3,
           2,
           6,
           1,
           1,
           4,
           1,
           2,
           5,
           1,
           2,
           2,
           1,
           3,
           8,
           5,
           2,
           3,
           2,
           1,
           2,
           2,
           2,
           4,
           1,
           5,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           5,
           2,
           1,
           1,
           1,
           1,
           2,
           1,
           1,
           1,
           1,
           2,
           5,
           1,
           1,
           2,
           7,
           2,
           1,
           2,
           2,
           4,
           1,
           2,
           1,
           2,
           2,
           1,
           2,
           2,
           2,
           2,
           2,
           2,
           1,
           3,
           2,
           2,
           2,
           1,
           5,
           1,
           1,
           2,
           2,
           1,
           4,
           1,
           3,
           5,
           4,
           2,
           5,
           5,
           1,
           2,
           1,
           2,
           2,
           8,
           1,
           1,
           1,
           2,
           1,
           8,
           2,
           2,
           2,
           4,
           3,
           2,
           2,
           2,
           2,
           1,
           1,
           1,
           15,
           2,
           2,
           5,
           2,
           2,
           2,
           1,
           2,
           2,
           3,
           3,
           4,
           2,
           3,
           2,
           1,
           1,
           2,
           2,
           2,
           2,
           3,
           2,
           1,
           1,
           3,
           2,
           4,
           3,
           2,
           9,
           2,
           1,
           7,
           3,
           1,
           1,
           4,
           1,
           5,
           2,
           2,
           2,
           9,
           1,
           2,
           2,
           9,
           2,
           1,
           1,
           3,
           2,
           2,
           1,
           2,
           3,
           2,
           3,
           1,
           2,
           1,
           1,
           2,
           4,
           2,
           1,
           1,
           2,
           1,
           1,
           4,
           2,
           1,
           2,
           2,
           3,
           1,
           2,
           1,
           2,
           2,
           3,
           2,
           2,
           2,
           3,
           2,
           3,
           3,
           1,
           1,
           3,
           3,
           1,
           3,
           3,
           1,
           2,
           2,
           2,
           4,
           1,
           1,
           2,
           1,
           2,
           1,
           2,
           1,
           1,
           3,
           2,
           1,
           1,
           3,
           1,
           1,
           2,
           1,
           4,
           2,
           1,
           1,
           11,
           2,
           13,
           1,
           1,
           1,
           1,
           4,
           1,
           3,
           2,
           1,
           1,
           2,
           2,
           2,
           3,
           2,
           1,
           5,
           3,
           2,
           4,
           2,
           1,
           2,
           1,
           1,
           2,
           3,
           2,
           1,
           3,
           2,
           4,
           3,
           1,
           5,
           2,
           3,
           2,
           2,
           1,
           2,
           2,
           3,
           2,
           4,
           1,
           1,
           1,
           2,
           1,
           1,
           1,
           4,
           2,
           1,
           1,
           1,
           1,
           3,
           5,
           1,
           2,
           2,
           3,
           2,
           1,
           1,
           2,
           1,
           1,
           4,
           1,
           1,
           2,
           2,
           1,
           1,
           1,
           2,
           1,
           2,
           1,
           2,
           1,
           3,
           1,
           2,
           1,
           1,
           2,
           1,
           2,
           2,
           2,
           2,
           2,
           1,
           2,
           2,
           1,
           1,
           1,
           2,
           4,
           1,
           2,
           1,
           1,
           1,
           4,
           2,
           1,
           1,
           3,
           1,
           1,
           3,
           1,
           2,
           5,
           2,
           1,
           1,
           2,
           2,
           1,
           2,
           1,
           1,
           4,
           1,
           2,
           1,
           2,
           1,
           1,
           1,
           2,
           1,
           4,
           3,
           1,
           2,
           1,
           2,
           4,
           3,
           2,
           1,
           1,
           2,
           7,
           1,
           1,
           1,
           4,
           2,
           2,
           1,
           4,
           2,
           2,
           2,
           1,
           2,
           3,
           3,
           2,
           1,
           1,
           5,
           2,
           1,
           1,
           3,
           2,
           2,
           2,
           2,
           1,
           2,
           2,
           3,
           1,
           2,
           1,
           2,
           2,
           3,
           2,
           2,
           2,
           1,
           4,
           5,
           1,
           1,
           2,
           2,
           3,
           7,
           1,
           2
          ]
         },
         "node": {
          "label": [
           "1_r0.0",
           "2_r0.0",
           "3_r0.0",
           "5_r0.0",
           "4_r0.0",
           "1_r0.05",
           "3_r0.05",
           "7_r0.05",
           "8_r0.05",
           "13_r0.05",
           "5_r0.05",
           "2_r0.05",
           "15_r0.05",
           "1_r0.1",
           "4_r0.1",
           "7_r0.1",
           "8_r0.1",
           "15_r0.1",
           "22_r0.1",
           "21_r0.1",
           "6_r0.1",
           "29_r0.1",
           "20_r0.1",
           "3_r0.1",
           "11_r0.1",
           "75_r0.1",
           "3_r0.5",
           "4_r0.5",
           "6_r0.5",
           "7_r0.5",
           "13_r0.5",
           "18_r0.5",
           "21_r0.5",
           "22_r0.5",
           "29_r0.5",
           "35_r0.5",
           "37_r0.5",
           "42_r0.5",
           "47_r0.5",
           "51_r0.5",
           "52_r0.5",
           "53_r0.5",
           "57_r0.5",
           "61_r0.5",
           "65_r0.5",
           "71_r0.5",
           "73_r0.5",
           "76_r0.5",
           "85_r0.5",
           "95_r0.5",
           "100_r0.5",
           "101_r0.5",
           "102_r0.5",
           "103_r0.5",
           "108_r0.5",
           "119_r0.5",
           "121_r0.5",
           "124_r0.5",
           "132_r0.5",
           "142_r0.5",
           "145_r0.5",
           "147_r0.5",
           "148_r0.5",
           "149_r0.5",
           "156_r0.5",
           "157_r0.5",
           "176_r0.5",
           "178_r0.5",
           "184_r0.5",
           "189_r0.5",
           "199_r0.5",
           "208_r0.5",
           "214_r0.5",
           "221_r0.5",
           "224_r0.5",
           "241_r0.5",
           "242_r0.5",
           "245_r0.5",
           "247_r0.5",
           "250_r0.5",
           "254_r0.5",
           "256_r0.5",
           "260_r0.5",
           "262_r0.5",
           "267_r0.5",
           "270_r0.5",
           "273_r0.5",
           "275_r0.5",
           "277_r0.5",
           "278_r0.5",
           "281_r0.5",
           "283_r0.5",
           "284_r0.5",
           "289_r0.5",
           "290_r0.5",
           "291_r0.5",
           "292_r0.5",
           "293_r0.5",
           "294_r0.5",
           "297_r0.5",
           "298_r0.5",
           "299_r0.5",
           "302_r0.5",
           "307_r0.5",
           "310_r0.5",
           "314_r0.5",
           "320_r0.5",
           "321_r0.5",
           "327_r0.5",
           "332_r0.5",
           "334_r0.5",
           "339_r0.5",
           "342_r0.5",
           "343_r0.5",
           "346_r0.5",
           "347_r0.5",
           "352_r0.5",
           "354_r0.5",
           "356_r0.5",
           "360_r0.5",
           "361_r0.5",
           "364_r0.5",
           "366_r0.5",
           "368_r0.5",
           "369_r0.5",
           "370_r0.5",
           "373_r0.5",
           "377_r0.5",
           "378_r0.5",
           "383_r0.5",
           "387_r0.5",
           "388_r0.5",
           "389_r0.5",
           "391_r0.5",
           "396_r0.5",
           "397_r0.5",
           "398_r0.5",
           "401_r0.5",
           "403_r0.5",
           "409_r0.5",
           "412_r0.5",
           "414_r0.5",
           "417_r0.5",
           "427_r0.5",
           "428_r0.5",
           "429_r0.5",
           "439_r0.5",
           "440_r0.5",
           "444_r0.5",
           "445_r0.5",
           "446_r0.5",
           "447_r0.5",
           "448_r0.5",
           "449_r0.5",
           "460_r0.5",
           "465_r0.5",
           "470_r0.5",
           "474_r0.5",
           "493_r0.5",
           "499_r0.5",
           "500_r0.5",
           "501_r0.5",
           "508_r0.5",
           "3_r0.75",
           "4_r0.75",
           "6_r0.75",
           "7_r0.75",
           "8_r0.75",
           "13_r0.75",
           "18_r0.75",
           "24_r0.75",
           "25_r0.75",
           "33_r0.75",
           "39_r0.75",
           "41_r0.75",
           "46_r0.75",
           "54_r0.75",
           "61_r0.75",
           "62_r0.75",
           "63_r0.75",
           "67_r0.75",
           "74_r0.75",
           "79_r0.75",
           "87_r0.75",
           "89_r0.75",
           "90_r0.75",
           "93_r0.75",
           "97_r0.75",
           "98_r0.75",
           "105_r0.75",
           "119_r0.75",
           "121_r0.75",
           "123_r0.75",
           "127_r0.75",
           "128_r0.75",
           "129_r0.75",
           "130_r0.75",
           "131_r0.75",
           "137_r0.75",
           "139_r0.75",
           "152_r0.75",
           "153_r0.75",
           "154_r0.75",
           "162_r0.75",
           "163_r0.75",
           "166_r0.75",
           "112_r0.75",
           "174_r0.75",
           "178_r0.75",
           "184_r0.75",
           "188_r0.75",
           "192_r0.75",
           "194_r0.75",
           "195_r0.75",
           "196_r0.75",
           "173_r0.75",
           "146_r0.75",
           "222_r0.75",
           "230_r0.75",
           "94_r0.75",
           "49_r0.75",
           "239_r0.75",
           "244_r0.75",
           "248_r0.75",
           "256_r0.75",
           "257_r0.75",
           "267_r0.75",
           "274_r0.75",
           "281_r0.75",
           "284_r0.75",
           "301_r0.75",
           "302_r0.75",
           "156_r0.75",
           "306_r0.75",
           "310_r0.75",
           "313_r0.75",
           "322_r0.75",
           "325_r0.75",
           "328_r0.75",
           "333_r0.75",
           "336_r0.75",
           "337_r0.75",
           "339_r0.75",
           "341_r0.75",
           "349_r0.75",
           "351_r0.75",
           "356_r0.75",
           "359_r0.75",
           "300_r0.75",
           "362_r0.75",
           "363_r0.75",
           "364_r0.75",
           "366_r0.75",
           "368_r0.75",
           "371_r0.75",
           "384_r0.75",
           "385_r0.75",
           "386_r0.75",
           "388_r0.75",
           "389_r0.75",
           "391_r0.75",
           "399_r0.75",
           "401_r0.75",
           "402_r0.75",
           "408_r0.75",
           "413_r0.75",
           "410_r0.75",
           "417_r0.75",
           "420_r0.75",
           "429_r0.75",
           "436_r0.75",
           "307_r0.75",
           "342_r0.75",
           "143_r0.75",
           "445_r0.75",
           "449_r0.75",
           "453_r0.75",
           "457_r0.75",
           "460_r0.75",
           "462_r0.75",
           "464_r0.75",
           "465_r0.75",
           "430_r0.75",
           "470_r0.75",
           "471_r0.75",
           "476_r0.75",
           "479_r0.75",
           "335_r0.75",
           "485_r0.75",
           "487_r0.75",
           "491_r0.75",
           "492_r0.75",
           "496_r0.75",
           "502_r0.75",
           "504_r0.75",
           "506_r0.75",
           "488_r0.75",
           "404_r0.75",
           "503_r0.75",
           "510_r0.75",
           "511_r0.75",
           "348_r0.75",
           "515_r0.75",
           "516_r0.75",
           "518_r0.75",
           "521_r0.75",
           "380_r0.75",
           "530_r0.75",
           "532_r0.75",
           "533_r0.75",
           "538_r0.75",
           "541_r0.75",
           "548_r0.75",
           "549_r0.75",
           "42_r0.75",
           "554_r0.75",
           "534_r0.75",
           "316_r0.75",
           "559_r0.75",
           "565_r0.75",
           "567_r0.75",
           "577_r0.75",
           "578_r0.75",
           "582_r0.75",
           "583_r0.75",
           "387_r0.75",
           "509_r0.75",
           "590_r0.75",
           "556_r0.75",
           "595_r0.75",
           "596_r0.75",
           "604_r0.75",
           "552_r0.75",
           "607_r0.75",
           "608_r0.75",
           "375_r0.75",
           "613_r0.75",
           "619_r0.75",
           "626_r0.75",
           "418_r0.75",
           "641_r0.75",
           "644_r0.75",
           "645_r0.75",
           "646_r0.75",
           "648_r0.75",
           "650_r0.75",
           "660_r0.75",
           "664_r0.75",
           "667_r0.75",
           "674_r0.75",
           "611_r0.75",
           "676_r0.75",
           "677_r0.75",
           "678_r0.75",
           "679_r0.75",
           "680_r0.75",
           "298_r0.75",
           "628_r0.75",
           "696_r0.75",
           "654_r0.75",
           "702_r0.75",
           "706_r0.75",
           "707_r0.75",
           "711_r0.75",
           "618_r0.75",
           "64_r0.75",
           "96_r0.75",
           "732_r0.75",
           "737_r0.75",
           "739_r0.75",
           "748_r0.75",
           "573_r0.75",
           "703_r0.75",
           "597_r0.75",
           "3_r1.0",
           "4_r1.0",
           "6_r1.0",
           "7_r1.0",
           "14_r1.0",
           "18_r1.0",
           "27_r1.0",
           "28_r1.0",
           "33_r1.0",
           "34_r1.0",
           "45_r1.0",
           "48_r1.0",
           "53_r1.0",
           "59_r1.0",
           "66_r1.0",
           "67_r1.0",
           "68_r1.0",
           "74_r1.0",
           "83_r1.0",
           "84_r1.0",
           "89_r1.0",
           "93_r1.0",
           "94_r1.0",
           "96_r1.0",
           "101_r1.0",
           "103_r1.0",
           "105_r1.0",
           "106_r1.0",
           "111_r1.0",
           "113_r1.0",
           "127_r1.0",
           "130_r1.0",
           "133_r1.0",
           "135_r1.0",
           "136_r1.0",
           "137_r1.0",
           "138_r1.0",
           "140_r1.0",
           "141_r1.0",
           "149_r1.0",
           "151_r1.0",
           "159_r1.0",
           "160_r1.0",
           "161_r1.0",
           "167_r1.0",
           "168_r1.0",
           "170_r1.0",
           "119_r1.0",
           "173_r1.0",
           "177_r1.0",
           "180_r1.0",
           "181_r1.0",
           "184_r1.0",
           "187_r1.0",
           "191_r1.0",
           "193_r1.0",
           "194_r1.0",
           "195_r1.0",
           "196_r1.0",
           "202_r1.0",
           "213_r1.0",
           "215_r1.0",
           "176_r1.0",
           "219_r1.0",
           "221_r1.0",
           "172_r1.0",
           "224_r1.0",
           "226_r1.0",
           "229_r1.0",
           "235_r1.0",
           "236_r1.0",
           "238_r1.0",
           "239_r1.0",
           "243_r1.0",
           "247_r1.0",
           "248_r1.0",
           "253_r1.0",
           "254_r1.0",
           "163_r1.0",
           "260_r1.0",
           "265_r1.0",
           "268_r1.0",
           "278_r1.0",
           "281_r1.0",
           "284_r1.0",
           "289_r1.0",
           "290_r1.0",
           "30_r1.0",
           "292_r1.0",
           "294_r1.0",
           "296_r1.0",
           "308_r1.0",
           "312_r1.0",
           "314_r1.0",
           "320_r1.0",
           "323_r1.0",
           "251_r1.0",
           "324_r1.0",
           "326_r1.0",
           "327_r1.0",
           "328_r1.0",
           "330_r1.0",
           "332_r1.0",
           "335_r1.0",
           "259_r1.0",
           "348_r1.0",
           "349_r1.0",
           "350_r1.0",
           "354_r1.0",
           "355_r1.0",
           "357_r1.0",
           "358_r1.0",
           "364_r1.0",
           "366_r1.0",
           "367_r1.0",
           "375_r1.0",
           "380_r1.0",
           "377_r1.0",
           "384_r1.0",
           "387_r1.0",
           "391_r1.0",
           "395_r1.0",
           "396_r1.0",
           "401_r1.0",
           "404_r1.0",
           "406_r1.0",
           "409_r1.0",
           "412_r1.0",
           "415_r1.0",
           "420_r1.0",
           "427_r1.0",
           "390_r1.0",
           "432_r1.0",
           "437_r1.0",
           "413_r1.0",
           "441_r1.0",
           "444_r1.0",
           "447_r1.0",
           "449_r1.0",
           "453_r1.0",
           "454_r1.0",
           "455_r1.0",
           "457_r1.0",
           "461_r1.0",
           "465_r1.0",
           "426_r1.0",
           "472_r1.0",
           "476_r1.0",
           "311_r1.0",
           "482_r1.0",
           "485_r1.0",
           "486_r1.0",
           "490_r1.0",
           "492_r1.0",
           "496_r1.0",
           "498_r1.0",
           "500_r1.0",
           "503_r1.0",
           "504_r1.0",
           "478_r1.0",
           "370_r1.0",
           "497_r1.0",
           "507_r1.0",
           "508_r1.0",
           "509_r1.0",
           "510_r1.0",
           "515_r1.0",
           "516_r1.0",
           "518_r1.0",
           "520_r1.0",
           "344_r1.0",
           "527_r1.0",
           "529_r1.0",
           "530_r1.0",
           "534_r1.0",
           "535_r1.0",
           "227_r1.0",
           "542_r1.0",
           "553_r1.0",
           "554_r1.0",
           "552_r1.0",
           "49_r1.0",
           "271_r1.0",
           "222_r1.0",
           "572_r1.0",
           "575_r1.0",
           "576_r1.0",
           "578_r1.0",
           "540_r1.0",
           "189_r1.0",
           "228_r1.0",
           "594_r1.0",
           "595_r1.0",
           "64_r1.0",
           "598_r1.0",
           "599_r1.0",
           "353_r1.0",
           "600_r1.0",
           "197_r1.0",
           "506_r1.0",
           "617_r1.0",
           "619_r1.0",
           "629_r1.0",
           "559_r1.0",
           "634_r1.0",
           "339_r1.0",
           "446_r1.0",
           "642_r1.0",
           "648_r1.0",
           "653_r1.0",
           "403_r1.0",
           "385_r1.0",
           "673_r1.0",
           "676_r1.0",
           "660_r1.0",
           "677_r1.0",
           "679_r1.0",
           "680_r1.0",
           "635_r1.0",
           "651_r1.0",
           "695_r1.0",
           "697_r1.0",
           "703_r1.0",
           "361_r1.0",
           "705_r1.0",
           "706_r1.0",
           "707_r1.0",
           "708_r1.0",
           "710_r1.0",
           "711_r1.0",
           "588_r1.0",
           "124_r1.0",
           "719_r1.0",
           "76_r1.0",
           "661_r1.0",
           "730_r1.0",
           "735_r1.0",
           "686_r1.0",
           "683_r1.0",
           "720_r1.0",
           "740_r1.0",
           "746_r1.0",
           "749_r1.0",
           "750_r1.0",
           "755_r1.0",
           "72_r1.0",
           "25_r1.0",
           "610_r1.0",
           "769_r1.0",
           "298_r1.0",
           "466_r1.0",
           "104_r1.0",
           "687_r1.0",
           "612_r1.0",
           "777_r1.0",
           "729_r1.0",
           "782_r1.0",
           "783_r1.0",
           "60_r1.0",
           "792_r1.0",
           "98_r1.0",
           "587_r1.0",
           "571_r1.0",
           "742_r1.0",
           "621_r1.0"
          ],
          "pad": 15,
          "thickness": 20
         },
         "type": "sankey"
        }
       ],
       "layout": {
        "height": 1000,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "ride or die: 0.5 max res"
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# take only the columns with modularity data\n",
    "ovi_HB_chunk = ride_or_die_df[['0.0','0.05','0.1','0.5','0.75','1.0']].copy()\n",
    "\n",
    "create_Sankey(ovi_HB_chunk,'ride or die: 0.5 max res')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I was starting to think that the ride or dies from 0.5 max res might be ideal but FS1A isn't in there. Neither is IB017. It feels like this method is still punishing the neurons we probably care about."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [id,  key, 0.0, 0.05, 0.1, 0.5, 0.75, 1.0, instance, celltype, pre, post, downstream, upstream, mito, size, status, cropped, statusLabel, cellBodyFiber, somaRadius, somaLocation, roiInfo, notes, inputRois, outputRois]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 26 columns]"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ride_or_die_df[ride_or_die_df['celltype']=='FS1A']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "celltype\n",
       "CRE018       3\n",
       "CRE056       2\n",
       "LHPV5g1_a    2\n",
       "CRE103       2\n",
       "SIP035       2\n",
       "            ..\n",
       "LHPD2c7      1\n",
       "SMP007       1\n",
       "SMP541       1\n",
       "M_spPN4t9    1\n",
       "SMP023       1\n",
       "Name: count, Length: 61, dtype: int64"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ride_or_die_df[ride_or_die_df['0.0']==3]['celltype'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ride or die from 0.05 max res\n",
    "We already did max resolution 0.1 so I'll skip ahead to 0.05. Interestingly, between 0.5 and 0.1 nodes 1, 3, and 5 were eliminated."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 348,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the max res to use\n",
    "max_res = '0.05'\n",
    "\n",
    "# the df to use since we don't need body ids\n",
    "test = ovi_in_node_df[['0.0','0.05']].copy()\n",
    "\n",
    "# get a list of module ids\n",
    "module_ids = test[max_res].unique().tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 349,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>546</th>\n",
       "      <td>2254523290</td>\n",
       "      <td>547</td>\n",
       "      <td>2</td>\n",
       "      <td>60</td>\n",
       "      <td>57</td>\n",
       "      <td>227</td>\n",
       "      <td>287</td>\n",
       "      <td>249</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Orphan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Orphan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'VMNP': {'post': 3, 'upstream': 3, 'mito': 2,...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['FLA(R)', 'PENP', 'VES(R)', 'VMNP']</td>\n",
       "      <td>['FLA(R)', 'PENP']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1540</th>\n",
       "      <td>5901230025</td>\n",
       "      <td>1541</td>\n",
       "      <td>2</td>\n",
       "      <td>60</td>\n",
       "      <td>57</td>\n",
       "      <td>227</td>\n",
       "      <td>287</td>\n",
       "      <td>249</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Orphan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Orphan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'VMNP': {'pre': 3, 'downstream': 17}, 'VES(R)...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['FLA(R)', 'PENP']</td>\n",
       "      <td>['FLA(R)', 'PENP', 'VES(R)', 'VMNP']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015</th>\n",
       "      <td>733100946</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>79</td>\n",
       "      <td>5</td>\n",
       "      <td>468</td>\n",
       "      <td>698</td>\n",
       "      <td>738</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Orphan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Orphan hotknife</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 20, 'post': 19, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['SMP(R)', 'SNP(R)']</td>\n",
       "      <td>['SMP(R)', 'SNP(R)']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2090</th>\n",
       "      <td>763470548</td>\n",
       "      <td>2091</td>\n",
       "      <td>1</td>\n",
       "      <td>79</td>\n",
       "      <td>5</td>\n",
       "      <td>475</td>\n",
       "      <td>709</td>\n",
       "      <td>752</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Orphan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Orphan hotknife</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 6, 'post': 21, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['SMP(R)', 'SNP(R)']</td>\n",
       "      <td>['SMP(R)', 'SNP(R)']</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id   key  0.0  0.05  0.1  0.5  0.75  1.0 instance celltype  ...  \\\n",
       "546   2254523290   547    2    60   57  227   287  249      NaN      NaN  ...   \n",
       "1540  5901230025  1541    2    60   57  227   287  249      NaN      NaN  ...   \n",
       "2015   733100946  2016    1    79    5  468   698  738      NaN      NaN  ...   \n",
       "2090   763470548  2091    1    79    5  475   709  752      NaN      NaN  ...   \n",
       "\n",
       "      status  cropped      statusLabel  cellBodyFiber  somaRadius  \\\n",
       "546   Orphan      NaN           Orphan            NaN         NaN   \n",
       "1540  Orphan      NaN           Orphan            NaN         NaN   \n",
       "2015  Orphan      NaN  Orphan hotknife            NaN         NaN   \n",
       "2090  Orphan      NaN  Orphan hotknife            NaN         NaN   \n",
       "\n",
       "      somaLocation                                            roiInfo notes  \\\n",
       "546            NaN  {'VMNP': {'post': 3, 'upstream': 3, 'mito': 2,...   NaN   \n",
       "1540           NaN  {'VMNP': {'pre': 3, 'downstream': 17}, 'VES(R)...   NaN   \n",
       "2015           NaN  {'SNP(R)': {'pre': 20, 'post': 19, 'downstream...   NaN   \n",
       "2090           NaN  {'SNP(R)': {'pre': 6, 'post': 21, 'downstream'...   NaN   \n",
       "\n",
       "                                 inputRois  \\\n",
       "546   ['FLA(R)', 'PENP', 'VES(R)', 'VMNP']   \n",
       "1540                    ['FLA(R)', 'PENP']   \n",
       "2015                  ['SMP(R)', 'SNP(R)']   \n",
       "2090                  ['SMP(R)', 'SNP(R)']   \n",
       "\n",
       "                                outputRois  \n",
       "546                     ['FLA(R)', 'PENP']  \n",
       "1540  ['FLA(R)', 'PENP', 'VES(R)', 'VMNP']  \n",
       "2015                  ['SMP(R)', 'SNP(R)']  \n",
       "2090                  ['SMP(R)', 'SNP(R)']  \n",
       "\n",
       "[4 rows x 26 columns]"
      ]
     },
     "execution_count": 349,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create an empty list to store the module ids of the riders\n",
    "ride_or_die_modules = []\n",
    "\n",
    "for i in module_ids:\n",
    "    # grab the rows that have the module id\n",
    "    test_mod = test[test[max_res]==i]\n",
    "\n",
    "    # first test whether there is more than one row since singletons won't count\n",
    "    if test_mod.shape[0] > 1:\n",
    "\n",
    "        # tests for number of unique rows\n",
    "        if test_mod.drop_duplicates().shape[0] == 1:\n",
    "            # if all rows are duplicates of each other, then append the module id to the list\n",
    "            ride_or_die_modules.append(i)\n",
    "\n",
    "# retrieve the rows of the original dataframe that have ride or die modules\n",
    "ride_or_die_df = ovi_in_node_df[ovi_in_node_df[max_res].isin(ride_or_die_modules)]\n",
    "ride_or_die_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make a Sankey."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 350,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "link": {
          "source": [
           1,
           0,
           2,
           3,
           4,
           5,
           5,
           6,
           7,
           8,
           9,
           10,
           11
          ],
          "target": [
           3,
           2,
           4,
           5,
           6,
           7,
           8,
           9,
           10,
           11,
           12,
           13,
           14
          ],
          "value": [
           2,
           2,
           2,
           2,
           2,
           1,
           1,
           2,
           1,
           1,
           2,
           1,
           1
          ]
         },
         "node": {
          "label": [
           "2_r0.0",
           "1_r0.0",
           "60_r0.05",
           "79_r0.05",
           "57_r0.1",
           "5_r0.1",
           "227_r0.5",
           "468_r0.5",
           "475_r0.5",
           "287_r0.75",
           "698_r0.75",
           "709_r0.75",
           "249_r1.0",
           "738_r1.0",
           "752_r1.0"
          ],
          "pad": 15,
          "thickness": 20
         },
         "type": "sankey"
        }
       ],
       "layout": {
        "height": 1000,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "ride or die: 0.05 max res"
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# take only the columns with modularity data\n",
    "ovi_HB_chunk = ride_or_die_df[['0.0','0.05','0.1','0.5','0.75','1.0']].copy()\n",
    "\n",
    "create_Sankey(ovi_HB_chunk,'ride or die: 0.05 max res')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# With pre-conditions\n",
    "We may want to consider pre-conditioning the dataframe before searching for ride or dies. Perhaps any NaN cell types should be disqualified since I think they might be the most likely to contaminate a nice cohesive module. Also, there is hardly anything we could say about them in terms of making testable hypotheses. Another possible precondition could be that the neuron must be traced but it appears that all non-NaN neurons are traced in this dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# pre-conditions: the df may not have any NaN cell types\n",
    "pretest = ovi_in_node_df.dropna(subset=['celltype'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [id,  key, 0.0, 0.05, 0.1, 0.5, 0.75, 1.0, instance, celltype, pre, post, downstream, upstream, mito, size, status, cropped, statusLabel, cellBodyFiber, somaRadius, somaLocation, roiInfo, notes, inputRois, outputRois]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 26 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pretest[pretest['status']!='Traced']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Another precondition could be that StatusLabel must be Traced or Roughly traced. There are some 'Leaves' which are probably left instances for the most part. I'll leave these alone for now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "statusLabel\n",
       "Roughly traced    1562\n",
       "Traced              74\n",
       "Leaves              36\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pretest['statusLabel'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "instance\n",
       "SMP316(PDM06)_L          2\n",
       "SMP370(PDM08)_L          1\n",
       "SMP422(PDM10)_L          1\n",
       "IB017(PDM08)_L           1\n",
       "AVLP473(PDL18)_L         1\n",
       "SMP528(PDM24)_L          1\n",
       "SMP251(PDL18)_L          1\n",
       "SMP362(PDM07)_L          1\n",
       "SMP176(PDL05)_L          1\n",
       "SMP339(PDM07)_L          1\n",
       "pC1d(PDM09)_L            1\n",
       "PLP245(SCB011)_L         1\n",
       "CL029(ADL25)_L           1\n",
       "SMP359(PDM07)_L          1\n",
       "SMP201(PDL06)_L          1\n",
       "SMP040(ADL25)_L          1\n",
       "SMP311(PDM06)_L          1\n",
       "CL212(PDM13)_L           1\n",
       "AVLP562(PVL15)_L         1\n",
       "SMP175(PDL05)_L          1\n",
       "mAL1(AVM15)_R            1\n",
       "SMP184(PDL05)_L          1\n",
       "SMP553(PDM30)_L          1\n",
       "SMP551(PDM29)_L          1\n",
       "SMP548(PDM29)_L          1\n",
       "SMP549(PDM29)_L          1\n",
       "SMP255(PDL18)_L          1\n",
       "SMP550(PDM29)_L          1\n",
       "MBON33(y2y3)(ADM05)_L    1\n",
       "SMP333(PDM07)_L          1\n",
       "SMP271(PDL20)_L          1\n",
       "SMP249(PDL17)_L          1\n",
       "SMP237(PDL11)_L          1\n",
       "aMe24(PDM24)_L           1\n",
       "SMP510(PDM22)_L          1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pretest[pretest['statusLabel']=='Leaves']['instance'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Those that are 'Leaves' seem to be the same neurons that have 'cropped'=True."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "cropped\n",
       "False    1636\n",
       "True       36\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pretest['cropped'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "instance\n",
       "SMP316(PDM06)_L          2\n",
       "SMP370(PDM08)_L          1\n",
       "SMP422(PDM10)_L          1\n",
       "IB017(PDM08)_L           1\n",
       "AVLP473(PDL18)_L         1\n",
       "SMP528(PDM24)_L          1\n",
       "SMP251(PDL18)_L          1\n",
       "SMP362(PDM07)_L          1\n",
       "SMP176(PDL05)_L          1\n",
       "SMP339(PDM07)_L          1\n",
       "pC1d(PDM09)_L            1\n",
       "PLP245(SCB011)_L         1\n",
       "CL029(ADL25)_L           1\n",
       "SMP359(PDM07)_L          1\n",
       "SMP201(PDL06)_L          1\n",
       "SMP040(ADL25)_L          1\n",
       "SMP311(PDM06)_L          1\n",
       "CL212(PDM13)_L           1\n",
       "AVLP562(PVL15)_L         1\n",
       "SMP175(PDL05)_L          1\n",
       "mAL1(AVM15)_R            1\n",
       "SMP184(PDL05)_L          1\n",
       "SMP553(PDM30)_L          1\n",
       "SMP551(PDM29)_L          1\n",
       "SMP548(PDM29)_L          1\n",
       "SMP549(PDM29)_L          1\n",
       "SMP255(PDL18)_L          1\n",
       "SMP550(PDM29)_L          1\n",
       "MBON33(y2y3)(ADM05)_L    1\n",
       "SMP333(PDM07)_L          1\n",
       "SMP271(PDL20)_L          1\n",
       "SMP249(PDL17)_L          1\n",
       "SMP237(PDL11)_L          1\n",
       "aMe24(PDM24)_L           1\n",
       "SMP510(PDM22)_L          1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pretest[pretest['cropped']==True]['instance'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0.1\n",
    "I found that nothing survived at max res 0.05 with these preconditions. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the max res to use\n",
    "max_res = '0.1'\n",
    "\n",
    "# the df to use since we don't need body ids\n",
    "test = pretest[['0.0','0.05','0.1']].copy()\n",
    "\n",
    "# get a list of module ids\n",
    "module_ids = test[max_res].unique().tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>1036503560</td>\n",
       "      <td>52</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>LHPV3a1_R</td>\n",
       "      <td>LHPV3a1</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL10</td>\n",
       "      <td>286.0</td>\n",
       "      <td>[2035, 16392, 14088]</td>\n",
       "      <td>{'SNP(R)': {'post': 3, 'upstream': 3}, 'SLP(R)...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AVLP(R)', 'EPA(L)', 'EPA(R)', 'GC', 'INP', '...</td>\n",
       "      <td>['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>1223388206</td>\n",
       "      <td>220</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>WEDPN17_a_R</td>\n",
       "      <td>WEDPN17_a</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVL09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'VLNP(R)': {'pre': 244, 'post': 127, 'downstr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>1283173461</td>\n",
       "      <td>243</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>22</td>\n",
       "      <td>102</td>\n",
       "      <td>130</td>\n",
       "      <td>140</td>\n",
       "      <td>PS127_R</td>\n",
       "      <td>PS127</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM17</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[25778, 15112, 15296]</td>\n",
       "      <td>{'INP': {'pre': 374, 'post': 368, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['IB', 'ICL(R)', 'INP', 'IPS(R)', 'LAL(-GA)(R)...</td>\n",
       "      <td>['IB', 'ICL(R)', 'INP', 'IPS(R)', 'PLP(R)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>1313849992</td>\n",
       "      <td>257</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>22</td>\n",
       "      <td>102</td>\n",
       "      <td>130</td>\n",
       "      <td>140</td>\n",
       "      <td>PS098_L</td>\n",
       "      <td>PS098</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM19</td>\n",
       "      <td>334.0</td>\n",
       "      <td>[25538, 32016, 17080]</td>\n",
       "      <td>{'INP': {'pre': 267, 'post': 144, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['EPA(R)', 'IB', 'ICL(R)', 'INP', 'IPS(R)', 'P...</td>\n",
       "      <td>['EPA(R)', 'IB', 'ICL(R)', 'INP', 'PLP(R)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1442</th>\n",
       "      <td>5813076392</td>\n",
       "      <td>1443</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>124</td>\n",
       "      <td>134</td>\n",
       "      <td>PLP187_R</td>\n",
       "      <td>PLP187</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL10</td>\n",
       "      <td>286.0</td>\n",
       "      <td>[1223, 16304, 13128]</td>\n",
       "      <td>{'SNP(R)': {'pre': 8, 'post': 100, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...</td>\n",
       "      <td>['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2065</th>\n",
       "      <td>759681018</td>\n",
       "      <td>2066</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>124</td>\n",
       "      <td>134</td>\n",
       "      <td>SMP016_b_R</td>\n",
       "      <td>SMP016_b</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADL08</td>\n",
       "      <td>292.5</td>\n",
       "      <td>[12101, 32431, 17560]</td>\n",
       "      <td>{'SNP(R)': {'pre': 22, 'post': 123, 'downstrea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(L)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE...</td>\n",
       "      <td>['ATL(L)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2263</th>\n",
       "      <td>832646151</td>\n",
       "      <td>2264</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>75</td>\n",
       "      <td>499</td>\n",
       "      <td>596</td>\n",
       "      <td>782</td>\n",
       "      <td>SMP214_R</td>\n",
       "      <td>SMP214</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDL06</td>\n",
       "      <td>261.0</td>\n",
       "      <td>[5943, 19514, 5360]</td>\n",
       "      <td>{'SNP(R)': {'pre': 86, 'post': 134, 'downstrea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'SIP(R)...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2363</th>\n",
       "      <td>894724798</td>\n",
       "      <td>2364</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>75</td>\n",
       "      <td>499</td>\n",
       "      <td>596</td>\n",
       "      <td>782</td>\n",
       "      <td>SMP214_R</td>\n",
       "      <td>SMP214</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDL06</td>\n",
       "      <td>245.0</td>\n",
       "      <td>[5516, 21403, 4592]</td>\n",
       "      <td>{'SNP(R)': {'pre': 52, 'post': 109, 'downstrea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'PLP(R)...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'PLP(R)...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2371</th>\n",
       "      <td>913681721</td>\n",
       "      <td>2372</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>31</td>\n",
       "      <td>124</td>\n",
       "      <td>134</td>\n",
       "      <td>LHPV3a1_R</td>\n",
       "      <td>LHPV3a1</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL10</td>\n",
       "      <td>211.0</td>\n",
       "      <td>[3011, 16492, 15520]</td>\n",
       "      <td>{'LH(R)': {'pre': 23, 'post': 621, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...</td>\n",
       "      <td>['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id   key  0.0  0.05  0.1  0.5  0.75  1.0     instance  \\\n",
       "51    1036503560    52    2     7   10   31    35   35    LHPV3a1_R   \n",
       "219   1223388206   220    2     7   10   31    35   35  WEDPN17_a_R   \n",
       "242   1283173461   243    2     7   22  102   130  140      PS127_R   \n",
       "256   1313849992   257    2     7   22  102   130  140      PS098_L   \n",
       "1442  5813076392  1443    2     7   10   31   124  134     PLP187_R   \n",
       "2065   759681018  2066    2     7   10   31   124  134   SMP016_b_R   \n",
       "2263   832646151  2264    2     8   75  499   596  782     SMP214_R   \n",
       "2363   894724798  2364    2     8   75  499   596  782     SMP214_R   \n",
       "2371   913681721  2372    2     7   10   31   124  134    LHPV3a1_R   \n",
       "\n",
       "       celltype  ...  status  cropped     statusLabel  cellBodyFiber  \\\n",
       "51      LHPV3a1  ...  Traced    False  Roughly traced          PVL10   \n",
       "219   WEDPN17_a  ...  Traced    False  Roughly traced          AVL09   \n",
       "242       PS127  ...  Traced    False  Roughly traced          PDM17   \n",
       "256       PS098  ...  Traced    False  Roughly traced          AVM19   \n",
       "1442     PLP187  ...  Traced    False  Roughly traced          PVL10   \n",
       "2065   SMP016_b  ...  Traced    False  Roughly traced          ADL08   \n",
       "2263     SMP214  ...  Traced    False  Roughly traced          PDL06   \n",
       "2363     SMP214  ...  Traced    False  Roughly traced          PDL06   \n",
       "2371    LHPV3a1  ...  Traced    False  Roughly traced          PVL10   \n",
       "\n",
       "      somaRadius           somaLocation  \\\n",
       "51         286.0   [2035, 16392, 14088]   \n",
       "219          NaN                    NaN   \n",
       "242        301.0  [25778, 15112, 15296]   \n",
       "256        334.0  [25538, 32016, 17080]   \n",
       "1442       286.0   [1223, 16304, 13128]   \n",
       "2065       292.5  [12101, 32431, 17560]   \n",
       "2263       261.0    [5943, 19514, 5360]   \n",
       "2363       245.0    [5516, 21403, 4592]   \n",
       "2371       211.0   [3011, 16492, 15520]   \n",
       "\n",
       "                                                roiInfo notes  \\\n",
       "51    {'SNP(R)': {'post': 3, 'upstream': 3}, 'SLP(R)...   NaN   \n",
       "219   {'VLNP(R)': {'pre': 244, 'post': 127, 'downstr...   NaN   \n",
       "242   {'INP': {'pre': 374, 'post': 368, 'downstream'...   NaN   \n",
       "256   {'INP': {'pre': 267, 'post': 144, 'downstream'...   NaN   \n",
       "1442  {'SNP(R)': {'pre': 8, 'post': 100, 'downstream...   NaN   \n",
       "2065  {'SNP(R)': {'pre': 22, 'post': 123, 'downstrea...   NaN   \n",
       "2263  {'SNP(R)': {'pre': 86, 'post': 134, 'downstrea...   NaN   \n",
       "2363  {'SNP(R)': {'pre': 52, 'post': 109, 'downstrea...   NaN   \n",
       "2371  {'LH(R)': {'pre': 23, 'post': 621, 'downstream...   NaN   \n",
       "\n",
       "                                              inputRois  \\\n",
       "51    ['AVLP(R)', 'EPA(L)', 'EPA(R)', 'GC', 'INP', '...   \n",
       "219   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...   \n",
       "242   ['IB', 'ICL(R)', 'INP', 'IPS(R)', 'LAL(-GA)(R)...   \n",
       "256   ['EPA(R)', 'IB', 'ICL(R)', 'INP', 'IPS(R)', 'P...   \n",
       "1442  ['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...   \n",
       "2065  ['ATL(L)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE...   \n",
       "2263  ['ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP...   \n",
       "2363  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'PLP(R)...   \n",
       "2371  ['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...   \n",
       "\n",
       "                                             outputRois  \n",
       "51    ['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...  \n",
       "219   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...  \n",
       "242   ['IB', 'ICL(R)', 'INP', 'IPS(R)', 'PLP(R)', 'S...  \n",
       "256   ['EPA(R)', 'IB', 'ICL(R)', 'INP', 'PLP(R)', 'S...  \n",
       "1442  ['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...  \n",
       "2065  ['ATL(L)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE...  \n",
       "2263  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'SIP(R)...  \n",
       "2363  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'PLP(R)...  \n",
       "2371  ['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...  \n",
       "\n",
       "[9 rows x 26 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create an empty list to store the module ids of the riders\n",
    "ride_or_die_modules = []\n",
    "\n",
    "for i in module_ids:\n",
    "    # grab the rows that have the module id\n",
    "    test_mod = test[test[max_res]==i]\n",
    "\n",
    "    # first test whether there is more than one row since singletons won't count\n",
    "    if test_mod.shape[0] > 1:\n",
    "\n",
    "        # tests for number of unique rows\n",
    "        if test_mod.drop_duplicates().shape[0] == 1:\n",
    "            # if all rows are duplicates of each other, then append the module id to the list\n",
    "            ride_or_die_modules.append(i)\n",
    "\n",
    "# retrieve the rows of the original dataframe that have ride or die modules\n",
    "ride_or_die_df = pretest[pretest[max_res].isin(ride_or_die_modules)]\n",
    "ride_or_die_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make a Sankey."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "link": {
          "source": [
           0,
           0,
           1,
           1,
           2,
           3,
           4,
           5,
           7,
           6,
           6,
           8,
           11,
           10,
           9,
           12
          ],
          "target": [
           1,
           2,
           3,
           4,
           5,
           6,
           7,
           8,
           10,
           11,
           9,
           12,
           15,
           14,
           13,
           16
          ],
          "value": [
           7,
           2,
           5,
           2,
           2,
           5,
           2,
           2,
           2,
           3,
           2,
           2,
           3,
           2,
           2,
           2
          ]
         },
         "node": {
          "label": [
           "2_r0.0",
           "7_r0.05",
           "8_r0.05",
           "10_r0.1",
           "22_r0.1",
           "75_r0.1",
           "31_r0.5",
           "102_r0.5",
           "499_r0.5",
           "35_r0.75",
           "130_r0.75",
           "124_r0.75",
           "596_r0.75",
           "35_r1.0",
           "140_r1.0",
           "134_r1.0",
           "782_r1.0"
          ],
          "pad": 15,
          "thickness": 20
         },
         "type": "sankey"
        }
       ],
       "layout": {
        "height": 1000,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "ride or die: 0.1 max res, no NaN cell types"
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# take only the columns with modularity data\n",
    "ovi_HB_chunk = ride_or_die_df[['0.0','0.05','0.1','0.5','0.75','1.0']].copy()\n",
    "\n",
    "create_Sankey(ovi_HB_chunk,'ride or die: 0.1 max res, no NaN cell types')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the max res to use\n",
    "max_res = '0.5'\n",
    "\n",
    "# the df to use since we don't need body ids\n",
    "test = pretest[['0.0','0.05','0.1','0.5']].copy()\n",
    "\n",
    "# get a list of module ids\n",
    "module_ids = test[max_res].unique().tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1006928515</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>CL300_R</td>\n",
       "      <td>CL300</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL13</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[12083, 10523, 16816]</td>\n",
       "      <td>{'INP': {'pre': 79, 'post': 126, 'downstream':...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(R)', 'IB', 'ICL(R)', 'INP', 'SCL(R)', 'S...</td>\n",
       "      <td>['ATL(R)', 'IB', 'ICL(R)', 'INP', 'SCL(R)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1007260806</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>CL301_R</td>\n",
       "      <td>CL301</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL13</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[13524, 10108, 16480]</td>\n",
       "      <td>{'INP': {'pre': 40, 'post': 128, 'downstream':...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['GOR(R)', 'IB', 'ICL(R)', 'INP', 'PLP(R)', 'S...</td>\n",
       "      <td>['IB', 'ICL(R)', 'INP', 'PLP(R)', 'SCL(R)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1008966615</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>CL300_R</td>\n",
       "      <td>CL300</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL13</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[13492, 9603, 16400]</td>\n",
       "      <td>{'INP': {'pre': 42, 'post': 132, 'downstream':...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['IB', 'ICL(R)', 'INP', 'PLP(R)', 'SCL(R)', 'S...</td>\n",
       "      <td>['IB', 'ICL(R)', 'INP', 'PLP(R)', 'VLNP(R)']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1010044978</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>FS3(FQ11)_C3_R</td>\n",
       "      <td>FS3</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[17547, 9890, 13960]</td>\n",
       "      <td>{'SNP(R)': {'pre': 31, 'post': 18, 'downstream...</td>\n",
       "      <td>FB1d367SMP</td>\n",
       "      <td>['CX', 'FB', 'FB-column3', 'FBl1', 'FBl2', 'FB...</td>\n",
       "      <td>['CX', 'FB', 'FB-column3', 'FBl1', 'FBl2', 'FB...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1013416147</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>CRE100_R</td>\n",
       "      <td>CRE100</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM27</td>\n",
       "      <td>401.0</td>\n",
       "      <td>[23180, 15645, 12816]</td>\n",
       "      <td>{'SNP(L)': {'pre': 1, 'post': 3, 'downstream':...</td>\n",
       "      <td>CL-VeSp</td>\n",
       "      <td>['CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'FLA...</td>\n",
       "      <td>['CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'FLA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2481</th>\n",
       "      <td>980978890</td>\n",
       "      <td>2482</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>414</td>\n",
       "      <td>619</td>\n",
       "      <td>648</td>\n",
       "      <td>CRE061_R</td>\n",
       "      <td>CRE061</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM13</td>\n",
       "      <td>361.5</td>\n",
       "      <td>[12057, 34635, 24688]</td>\n",
       "      <td>{'SNP(R)': {'pre': 24, 'post': 24, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...</td>\n",
       "      <td>['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2503</th>\n",
       "      <td>986098785</td>\n",
       "      <td>2504</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>427</td>\n",
       "      <td>644</td>\n",
       "      <td>676</td>\n",
       "      <td>AOTU008_a_R</td>\n",
       "      <td>AOTU008_a</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADL08</td>\n",
       "      <td>258.5</td>\n",
       "      <td>[10014, 33018, 17344]</td>\n",
       "      <td>{'SNP(R)': {'pre': 111, 'post': 179, 'downstre...</td>\n",
       "      <td>aSP11b candidates</td>\n",
       "      <td>['AOTU(R)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CR...</td>\n",
       "      <td>['AOTU(R)', 'ATL(R)', 'IB', 'INP', 'MB(+ACA)(R...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2505</th>\n",
       "      <td>987117151</td>\n",
       "      <td>2506</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>53</td>\n",
       "      <td>63</td>\n",
       "      <td>68</td>\n",
       "      <td>LAL010_R</td>\n",
       "      <td>LAL010</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADM03</td>\n",
       "      <td>292.5</td>\n",
       "      <td>[15520, 32234, 10016]</td>\n",
       "      <td>{'SNP(R)': {'pre': 2, 'post': 82, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2509</th>\n",
       "      <td>988909130</td>\n",
       "      <td>2510</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>389</td>\n",
       "      <td>559</td>\n",
       "      <td>572</td>\n",
       "      <td>FB5V_R</td>\n",
       "      <td>FB5V</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM10</td>\n",
       "      <td>296.5</td>\n",
       "      <td>[13226, 32024, 18600]</td>\n",
       "      <td>{'SNP(R)': {'pre': 1, 'post': 28, 'downstream'...</td>\n",
       "      <td>CRELALFB5</td>\n",
       "      <td>['AB(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX',...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2510</th>\n",
       "      <td>989228019</td>\n",
       "      <td>2511</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>389</td>\n",
       "      <td>559</td>\n",
       "      <td>572</td>\n",
       "      <td>FB5V_R</td>\n",
       "      <td>FB5V</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM10</td>\n",
       "      <td>296.5</td>\n",
       "      <td>[12516, 33587, 18648]</td>\n",
       "      <td>{'SNP(R)': {'pre': 1, 'post': 45, 'downstream'...</td>\n",
       "      <td>CRELALFB5</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>430 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id   key  0.0  0.05  0.1  0.5  0.75  1.0        instance  \\\n",
       "2     1006928515     3    1     1    1    3     3    3         CL300_R   \n",
       "3     1007260806     4    2     1    1    4     4    4         CL301_R   \n",
       "10    1008966615    11    1     1    1    3     8    3         CL300_R   \n",
       "14    1010044978    15    3     2    3   10    10   12  FS3(FQ11)_C3_R   \n",
       "23    1013416147    24    2     3    4   18    18   18        CRE100_R   \n",
       "...          ...   ...  ...   ...  ...  ...   ...  ...             ...   \n",
       "2481   980978890  2482    2     3    4  414   619  648        CRE061_R   \n",
       "2503   986098785  2504    2     1    6  427   644  676     AOTU008_a_R   \n",
       "2505   987117151  2506    2     7    7   53    63   68        LAL010_R   \n",
       "2509   988909130  2510    2     3    4  389   559  572          FB5V_R   \n",
       "2510   989228019  2511    2     3    4  389   559  572          FB5V_R   \n",
       "\n",
       "       celltype  ...  status  cropped     statusLabel  cellBodyFiber  \\\n",
       "2         CL300  ...  Traced    False  Roughly traced          PVL13   \n",
       "3         CL301  ...  Traced    False  Roughly traced          PVL13   \n",
       "10        CL300  ...  Traced    False  Roughly traced          PVL13   \n",
       "14          FS3  ...  Traced    False  Roughly traced          PDM03   \n",
       "23       CRE100  ...  Traced    False  Roughly traced          PDM27   \n",
       "...         ...  ...     ...      ...             ...            ...   \n",
       "2481     CRE061  ...  Traced    False  Roughly traced          AVM13   \n",
       "2503  AOTU008_a  ...  Traced    False  Roughly traced          ADL08   \n",
       "2505     LAL010  ...  Traced    False  Roughly traced          ADM03   \n",
       "2509       FB5V  ...  Traced    False  Roughly traced          AVM10   \n",
       "2510       FB5V  ...  Traced    False  Roughly traced          AVM10   \n",
       "\n",
       "      somaRadius           somaLocation  \\\n",
       "2          236.0  [12083, 10523, 16816]   \n",
       "3          236.0  [13524, 10108, 16480]   \n",
       "10         236.0   [13492, 9603, 16400]   \n",
       "14         236.0   [17547, 9890, 13960]   \n",
       "23         401.0  [23180, 15645, 12816]   \n",
       "...          ...                    ...   \n",
       "2481       361.5  [12057, 34635, 24688]   \n",
       "2503       258.5  [10014, 33018, 17344]   \n",
       "2505       292.5  [15520, 32234, 10016]   \n",
       "2509       296.5  [13226, 32024, 18600]   \n",
       "2510       296.5  [12516, 33587, 18648]   \n",
       "\n",
       "                                                roiInfo              notes  \\\n",
       "2     {'INP': {'pre': 79, 'post': 126, 'downstream':...                NaN   \n",
       "3     {'INP': {'pre': 40, 'post': 128, 'downstream':...                NaN   \n",
       "10    {'INP': {'pre': 42, 'post': 132, 'downstream':...                NaN   \n",
       "14    {'SNP(R)': {'pre': 31, 'post': 18, 'downstream...         FB1d367SMP   \n",
       "23    {'SNP(L)': {'pre': 1, 'post': 3, 'downstream':...            CL-VeSp   \n",
       "...                                                 ...                ...   \n",
       "2481  {'SNP(R)': {'pre': 24, 'post': 24, 'downstream...                NaN   \n",
       "2503  {'SNP(R)': {'pre': 111, 'post': 179, 'downstre...  aSP11b candidates   \n",
       "2505  {'SNP(R)': {'pre': 2, 'post': 82, 'downstream'...                NaN   \n",
       "2509  {'SNP(R)': {'pre': 1, 'post': 28, 'downstream'...          CRELALFB5   \n",
       "2510  {'SNP(R)': {'pre': 1, 'post': 45, 'downstream'...          CRELALFB5   \n",
       "\n",
       "                                              inputRois  \\\n",
       "2     ['ATL(R)', 'IB', 'ICL(R)', 'INP', 'SCL(R)', 'S...   \n",
       "3     ['GOR(R)', 'IB', 'ICL(R)', 'INP', 'PLP(R)', 'S...   \n",
       "10    ['IB', 'ICL(R)', 'INP', 'PLP(R)', 'SCL(R)', 'S...   \n",
       "14    ['CX', 'FB', 'FB-column3', 'FBl1', 'FBl2', 'FB...   \n",
       "23    ['CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'FLA...   \n",
       "...                                                 ...   \n",
       "2481  ['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...   \n",
       "2503  ['AOTU(R)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CR...   \n",
       "2505  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...   \n",
       "2509  ['AB(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX',...   \n",
       "2510  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "\n",
       "                                             outputRois  \n",
       "2     ['ATL(R)', 'IB', 'ICL(R)', 'INP', 'SCL(R)', 'S...  \n",
       "3     ['IB', 'ICL(R)', 'INP', 'PLP(R)', 'SCL(R)', 'S...  \n",
       "10         ['IB', 'ICL(R)', 'INP', 'PLP(R)', 'VLNP(R)']  \n",
       "14    ['CX', 'FB', 'FB-column3', 'FBl1', 'FBl2', 'FB...  \n",
       "23    ['CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'FLA...  \n",
       "...                                                 ...  \n",
       "2481  ['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...  \n",
       "2503  ['AOTU(R)', 'ATL(R)', 'IB', 'INP', 'MB(+ACA)(R...  \n",
       "2505  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...  \n",
       "2509  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "2510  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "\n",
       "[430 rows x 26 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create an empty list to store the module ids of the riders\n",
    "ride_or_die_modules = []\n",
    "\n",
    "for i in module_ids:\n",
    "    # grab the rows that have the module id\n",
    "    test_mod = test[test[max_res]==i]\n",
    "\n",
    "    # first test whether there is more than one row since singletons won't count\n",
    "    if test_mod.shape[0] > 1:\n",
    "\n",
    "        # tests for number of unique rows\n",
    "        if test_mod.drop_duplicates().shape[0] == 1:\n",
    "            # if all rows are duplicates of each other, then append the module id to the list\n",
    "            ride_or_die_modules.append(i)\n",
    "\n",
    "# retrieve the rows of the original dataframe that have ride or die modules\n",
    "ride_or_die_df = pretest[pretest[max_res].isin(ride_or_die_modules)]\n",
    "ride_or_die_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make a Sankey."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "link": {
          "source": [
           0,
           0,
           0,
           1,
           1,
           1,
           1,
           2,
           2,
           4,
           3,
           3,
           11,
           11,
           12,
           5,
           5,
           5,
           6,
           7,
           10,
           8,
           8,
           9,
           9,
           23,
           23,
           23,
           22,
           22,
           22,
           22,
           22,
           22,
           22,
           22,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           20,
           18,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           19,
           24,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           16,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           17,
           48,
           49,
           49,
           50,
           56,
           51,
           27,
           27,
           27,
           27,
           102,
           102,
           103,
           52,
           52,
           53,
           54,
           41,
           41,
           41,
           55,
           105,
           105,
           109,
           109,
           57,
           57,
           28,
           29,
           29,
           30,
           30,
           58,
           58,
           58,
           58,
           58,
           59,
           59,
           60,
           61,
           61,
           61,
           62,
           62,
           64,
           73,
           77,
           71,
           71,
           71,
           71,
           71,
           71,
           63,
           63,
           65,
           66,
           67,
           68,
           69,
           69,
           70,
           70,
           72,
           74,
           75,
           76,
           78,
           79,
           79,
           80,
           80,
           31,
           31,
           31,
           81,
           81,
           81,
           81,
           81,
           81,
           81,
           81,
           81,
           82,
           82,
           83,
           83,
           84,
           84,
           85,
           85,
           86,
           87,
           88,
           88,
           88,
           92,
           92,
           89,
           89,
           90,
           90,
           91,
           95,
           95,
           95,
           93,
           94,
           94,
           94,
           96,
           96,
           96,
           96,
           97,
           117,
           117,
           117,
           98,
           33,
           99,
           100,
           120,
           101,
           104,
           104,
           106,
           107,
           108,
           108,
           108,
           25,
           25,
           110,
           111,
           112,
           113,
           114,
           34,
           34,
           34,
           34,
           34,
           115,
           115,
           116,
           118,
           119,
           119,
           35,
           35,
           35,
           121,
           122,
           26,
           123,
           124,
           36,
           36,
           36,
           37,
           38,
           39,
           39,
           32,
           32,
           40,
           42,
           43,
           43,
           44,
           44,
           44,
           45,
           45,
           46,
           46,
           47,
           47,
           148,
           149,
           150,
           151,
           128,
           128,
           128,
           128,
           164,
           152,
           153,
           154,
           154,
           154,
           268,
           155,
           156,
           157,
           171,
           158,
           159,
           214,
           214,
           161,
           160,
           176,
           176,
           162,
           162,
           162,
           252,
           163,
           163,
           163,
           163,
           165,
           166,
           167,
           168,
           169,
           129,
           170,
           254,
           172,
           251,
           130,
           131,
           276,
           189,
           174,
           175,
           177,
           212,
           178,
           178,
           178,
           179,
           179,
           179,
           179,
           180,
           248,
           184,
           184,
           243,
           181,
           200,
           223,
           182,
           182,
           199,
           199,
           199,
           199,
           199,
           195,
           195,
           195,
           132,
           132,
           183,
           213,
           213,
           233,
           185,
           186,
           187,
           188,
           188,
           190,
           191,
           192,
           193,
           194,
           265,
           237,
           258,
           258,
           258,
           196,
           197,
           198,
           201,
           125,
           202,
           203,
           230,
           205,
           204,
           206,
           271,
           271,
           134,
           207,
           208,
           245,
           221,
           209,
           209,
           210,
           211,
           211,
           215,
           216,
           216,
           218,
           217,
           222,
           219,
           219,
           219,
           220,
           220,
           135,
           231,
           229,
           224,
           224,
           224,
           225,
           283,
           126,
           226,
           227,
           228,
           260,
           232,
           234,
           235,
           236,
           236,
           236,
           238,
           278,
           239,
           239,
           240,
           247,
           241,
           242,
           244,
           284,
           284,
           136,
           246,
           246,
           249,
           250,
           253,
           294,
           255,
           293,
           256,
           257,
           259,
           282,
           261,
           262,
           262,
           295,
           263,
           264,
           264,
           273,
           266,
           267,
           281,
           286,
           269,
           137,
           270,
           270,
           277,
           138,
           139,
           272,
           287,
           280,
           274,
           275,
           279,
           133,
           133,
           133,
           285,
           140,
           140,
           289,
           290,
           291,
           292,
           292,
           141,
           141,
           141,
           141,
           141,
           296,
           142,
           127,
           143,
           144,
           144,
           144,
           144,
           145,
           173,
           288,
           146,
           146,
           146,
           146,
           146,
           147
          ],
          "target": [
           11,
           5,
           6,
           5,
           7,
           8,
           9,
           6,
           9,
           12,
           11,
           10,
           22,
           19,
           23,
           13,
           20,
           19,
           14,
           15,
           21,
           18,
           16,
           24,
           17,
           90,
           107,
           110,
           105,
           71,
           65,
           68,
           78,
           92,
           96,
           113,
           102,
           103,
           41,
           33,
           104,
           25,
           26,
           32,
           42,
           44,
           45,
           58,
           59,
           61,
           62,
           64,
           73,
           77,
           72,
           76,
           79,
           82,
           88,
           91,
           56,
           50,
           27,
           66,
           67,
           69,
           70,
           75,
           80,
           52,
           53,
           28,
           31,
           84,
           98,
           99,
           101,
           112,
           35,
           124,
           40,
           46,
           55,
           57,
           60,
           63,
           85,
           89,
           100,
           106,
           108,
           114,
           116,
           118,
           122,
           48,
           49,
           54,
           109,
           29,
           34,
           123,
           36,
           37,
           38,
           39,
           43,
           47,
           51,
           30,
           74,
           81,
           83,
           86,
           87,
           95,
           93,
           94,
           97,
           117,
           120,
           111,
           115,
           119,
           121,
           155,
           154,
           156,
           157,
           171,
           158,
           150,
           128,
           178,
           140,
           251,
           289,
           252,
           163,
           246,
           165,
           166,
           161,
           160,
           143,
           170,
           254,
           255,
           159,
           286,
           234,
           173,
           129,
           162,
           130,
           131,
           236,
           176,
           174,
           181,
           190,
           204,
           175,
           191,
           177,
           179,
           205,
           241,
           180,
           182,
           184,
           195,
           200,
           199,
           213,
           193,
           237,
           271,
           229,
           223,
           183,
           185,
           186,
           187,
           188,
           189,
           232,
           192,
           245,
           194,
           196,
           197,
           198,
           201,
           248,
           202,
           203,
           211,
           164,
           132,
           288,
           214,
           265,
           206,
           224,
           260,
           295,
           263,
           264,
           277,
           207,
           209,
           208,
           226,
           210,
           259,
           212,
           228,
           214,
           215,
           243,
           216,
           218,
           225,
           238,
           221,
           217,
           222,
           219,
           220,
           231,
           283,
           264,
           227,
           276,
           230,
           250,
           233,
           294,
           261,
           273,
           235,
           206,
           278,
           287,
           239,
           134,
           242,
           244,
           284,
           249,
           253,
           293,
           256,
           257,
           258,
           228,
           285,
           125,
           127,
           266,
           267,
           269,
           270,
           272,
           169,
           135,
           262,
           146,
           147,
           274,
           279,
           275,
           280,
           282,
           281,
           268,
           136,
           246,
           290,
           262,
           126,
           291,
           292,
           164,
           159,
           137,
           138,
           139,
           154,
           141,
           247,
           133,
           142,
           144,
           240,
           145,
           148,
           168,
           172,
           149,
           153,
           151,
           296,
           152,
           167,
           326,
           327,
           328,
           330,
           299,
           305,
           306,
           314,
           344,
           331,
           332,
           333,
           334,
           433,
           468,
           335,
           336,
           337,
           355,
           338,
           339,
           403,
           423,
           341,
           340,
           361,
           352,
           342,
           499,
           476,
           447,
           343,
           303,
           416,
           456,
           346,
           347,
           349,
           350,
           351,
           300,
           353,
           450,
           356,
           446,
           301,
           302,
           484,
           375,
           359,
           360,
           362,
           401,
           363,
           306,
           482,
           364,
           372,
           408,
           404,
           365,
           443,
           369,
           396,
           439,
           366,
           387,
           415,
           367,
           449,
           386,
           379,
           385,
           402,
           465,
           381,
           394,
           397,
           303,
           441,
           368,
           498,
           402,
           428,
           370,
           371,
           373,
           374,
           470,
           376,
           377,
           378,
           379,
           380,
           463,
           432,
           455,
           481,
           489,
           382,
           383,
           384,
           388,
           297,
           389,
           390,
           425,
           392,
           391,
           393,
           472,
           502,
           307,
           395,
           398,
           442,
           412,
           397,
           411,
           399,
           400,
           435,
           405,
           406,
           409,
           409,
           407,
           413,
           410,
           414,
           474,
           411,
           459,
           308,
           426,
           424,
           483,
           417,
           419,
           418,
           492,
           298,
           420,
           421,
           422,
           460,
           427,
           429,
           430,
           431,
           475,
           491,
           434,
           486,
           343,
           436,
           437,
           304,
           420,
           438,
           440,
           503,
           493,
           309,
           497,
           315,
           444,
           445,
           448,
           510,
           451,
           509,
           452,
           454,
           458,
           490,
           461,
           348,
           505,
           513,
           462,
           419,
           464,
           477,
           466,
           467,
           490,
           495,
           469,
           310,
           471,
           478,
           485,
           311,
           312,
           473,
           496,
           488,
           479,
           480,
           487,
           457,
           304,
           317,
           494,
           313,
           320,
           501,
           504,
           506,
           512,
           507,
           323,
           345,
           315,
           316,
           508,
           514,
           318,
           297,
           319,
           321,
           352,
           511,
           358,
           322,
           357,
           500,
           324,
           329,
           348,
           354,
           453,
           325
          ],
          "value": [
           79,
           12,
           6,
           34,
           51,
           74,
           2,
           50,
           60,
           9,
           2,
           51,
           56,
           25,
           9,
           32,
           2,
           12,
           56,
           51,
           51,
           2,
           72,
           2,
           60,
           5,
           2,
           2,
           2,
           33,
           2,
           6,
           2,
           2,
           6,
           3,
           2,
           2,
           3,
           2,
           2,
           2,
           2,
           5,
           4,
           6,
           2,
           10,
           3,
           9,
           3,
           2,
           5,
           3,
           2,
           3,
           2,
           3,
           4,
           2,
           2,
           2,
           36,
           3,
           2,
           2,
           5,
           2,
           6,
           9,
           2,
           3,
           7,
           4,
           3,
           3,
           5,
           4,
           3,
           3,
           3,
           2,
           2,
           3,
           2,
           3,
           2,
           2,
           2,
           2,
           10,
           2,
           3,
           4,
           2,
           2,
           4,
           2,
           2,
           5,
           19,
           2,
           4,
           2,
           4,
           11,
           5,
           10,
           2,
           4,
           5,
           14,
           2,
           2,
           5,
           3,
           2,
           3,
           2,
           3,
           4,
           2,
           3,
           2,
           2,
           2,
           3,
           1,
           2,
           2,
           2,
           1,
           21,
           7,
           7,
           1,
           1,
           2,
           7,
           2,
           2,
           2,
           1,
           1,
           1,
           2,
           1,
           1,
           1,
           1,
           2,
           1,
           3,
           4,
           1,
           1,
           3,
           2,
           2,
           2,
           3,
           1,
           1,
           2,
           2,
           7,
           1,
           1,
           1,
           2,
           2,
           5,
           3,
           25,
           3,
           1,
           1,
           2,
           1,
           2,
           1,
           2,
           3,
           2,
           6,
           1,
           1,
           4,
           1,
           2,
           5,
           2,
           3,
           2,
           1,
           1,
           2,
           4,
           1,
           5,
           1,
           1,
           1,
           1,
           5,
           2,
           1,
           1,
           1,
           1,
           1,
           2,
           1,
           1,
           3,
           1,
           1,
           1,
           2,
           5,
           1,
           2,
           1,
           1,
           1,
           1,
           1,
           1,
           4,
           2,
           1,
           1,
           1,
           2,
           1,
           1,
           1,
           2,
           1,
           2,
           1,
           2,
           1,
           1,
           1,
           3,
           2,
           3,
           2,
           4,
           5,
           1,
           1,
           2,
           2,
           8,
           1,
           1,
           1,
           1,
           2,
           2,
           4,
           3,
           2,
           1,
           1,
           1,
           14,
           2,
           1,
           2,
           3,
           4,
           1,
           1,
           1,
           1,
           1,
           2,
           2,
           2,
           2,
           3,
           1,
           1,
           2,
           2,
           4,
           2,
           9,
           1,
           4,
           3,
           4,
           1,
           4,
           2,
           3,
           1,
           1,
           1,
           1,
           1,
           9,
           1,
           2,
           1,
           1,
           1,
           2,
           3,
           14,
           2,
           2,
           9,
           1,
           1,
           1,
           3,
           1,
           2,
           1,
           2,
           2,
           2,
           2,
           2,
           1,
           1,
           1,
           1,
           1,
           2,
           1,
           1,
           2,
           2,
           1,
           2,
           2,
           2,
           2,
           1,
           3,
           1,
           3,
           2,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           2,
           1,
           2,
           1,
           5,
           1,
           1,
           2,
           1,
           1,
           3,
           1,
           1,
           1,
           1,
           1,
           2,
           3,
           2,
           1,
           1,
           9,
           1,
           13,
           1,
           1,
           1,
           3,
           1,
           3,
           2,
           1,
           1,
           2,
           2,
           2,
           3,
           2,
           1,
           5,
           3,
           2,
           4,
           1,
           2,
           1,
           1,
           4,
           3,
           1,
           5,
           2,
           3,
           2,
           1,
           1,
           2,
           1,
           1,
           1,
           2,
           1,
           1,
           2,
           1,
           1,
           1,
           1,
           1,
           1,
           3,
           1,
           3,
           5,
           1,
           1,
           1,
           1,
           1,
           1,
           2,
           1,
           1,
           1,
           1,
           1,
           1,
           1,
           3,
           1,
           1,
           1,
           2,
           1,
           2,
           2,
           2,
           1,
           2,
           2,
           1,
           1,
           1,
           1,
           1,
           1,
           2,
           1,
           1,
           1,
           3,
           2,
           1,
           3,
           1,
           2,
           1,
           5,
           1,
           1,
           1,
           1,
           1,
           2,
           2,
           1,
           1,
           2,
           1,
           2,
           1,
           1,
           1,
           1,
           1,
           2,
           2,
           1,
           1,
           4,
           2,
           1,
           2,
           1,
           2,
           4,
           2,
           1,
           4,
           1,
           3,
           2,
           1,
           1,
           2,
           1,
           4,
           3,
           1,
           2,
           2,
           2,
           1,
           2,
           3,
           1,
           2,
           1,
           1,
           3,
           1,
           1,
           1,
           1,
           1,
           1,
           4,
           1,
           1,
           2,
           2,
           3,
           6,
           1,
           2
          ]
         },
         "node": {
          "label": [
           "1_r0.0",
           "2_r0.0",
           "3_r0.0",
           "5_r0.0",
           "4_r0.0",
           "1_r0.05",
           "2_r0.05",
           "3_r0.05",
           "7_r0.05",
           "8_r0.05",
           "5_r0.05",
           "13_r0.05",
           "15_r0.05",
           "1_r0.1",
           "3_r0.1",
           "4_r0.1",
           "7_r0.1",
           "8_r0.1",
           "22_r0.1",
           "6_r0.1",
           "21_r0.1",
           "20_r0.1",
           "15_r0.1",
           "11_r0.1",
           "75_r0.1",
           "3_r0.5",
           "4_r0.5",
           "10_r0.5",
           "18_r0.5",
           "21_r0.5",
           "22_r0.5",
           "29_r0.5",
           "6_r0.5",
           "37_r0.5",
           "42_r0.5",
           "47_r0.5",
           "51_r0.5",
           "52_r0.5",
           "53_r0.5",
           "61_r0.5",
           "71_r0.5",
           "13_r0.5",
           "75_r0.5",
           "76_r0.5",
           "82_r0.5",
           "85_r0.5",
           "87_r0.5",
           "95_r0.5",
           "100_r0.5",
           "101_r0.5",
           "102_r0.5",
           "108_r0.5",
           "124_r0.5",
           "132_r0.5",
           "134_r0.5",
           "148_r0.5",
           "103_r0.5",
           "178_r0.5",
           "241_r0.5",
           "242_r0.5",
           "245_r0.5",
           "247_r0.5",
           "250_r0.5",
           "267_r0.5",
           "254_r0.5",
           "270_r0.5",
           "273_r0.5",
           "275_r0.5",
           "277_r0.5",
           "278_r0.5",
           "281_r0.5",
           "262_r0.5",
           "284_r0.5",
           "256_r0.5",
           "292_r0.5",
           "293_r0.5",
           "294_r0.5",
           "260_r0.5",
           "297_r0.5",
           "298_r0.5",
           "299_r0.5",
           "307_r0.5",
           "313_r0.5",
           "314_r0.5",
           "318_r0.5",
           "320_r0.5",
           "321_r0.5",
           "327_r0.5",
           "328_r0.5",
           "332_r0.5",
           "334_r0.5",
           "342_r0.5",
           "330_r0.5",
           "364_r0.5",
           "366_r0.5",
           "359_r0.5",
           "369_r0.5",
           "370_r0.5",
           "378_r0.5",
           "383_r0.5",
           "387_r0.5",
           "389_r0.5",
           "120_r0.5",
           "121_r0.5",
           "391_r0.5",
           "151_r0.5",
           "396_r0.5",
           "397_r0.5",
           "398_r0.5",
           "156_r0.5",
           "411_r0.5",
           "412_r0.5",
           "414_r0.5",
           "417_r0.5",
           "427_r0.5",
           "447_r0.5",
           "449_r0.5",
           "377_r0.5",
           "465_r0.5",
           "467_r0.5",
           "388_r0.5",
           "493_r0.5",
           "499_r0.5",
           "500_r0.5",
           "501_r0.5",
           "3_r0.75",
           "4_r0.75",
           "8_r0.75",
           "10_r0.75",
           "18_r0.75",
           "24_r0.75",
           "25_r0.75",
           "33_r0.75",
           "6_r0.75",
           "41_r0.75",
           "46_r0.75",
           "54_r0.75",
           "61_r0.75",
           "62_r0.75",
           "63_r0.75",
           "70_r0.75",
           "74_r0.75",
           "87_r0.75",
           "90_r0.75",
           "92_r0.75",
           "93_r0.75",
           "97_r0.75",
           "98_r0.75",
           "102_r0.75",
           "105_r0.75",
           "106_r0.75",
           "108_r0.75",
           "119_r0.75",
           "121_r0.75",
           "123_r0.75",
           "128_r0.75",
           "129_r0.75",
           "130_r0.75",
           "137_r0.75",
           "139_r0.75",
           "154_r0.75",
           "153_r0.75",
           "162_r0.75",
           "166_r0.75",
           "112_r0.75",
           "174_r0.75",
           "176_r0.75",
           "178_r0.75",
           "181_r0.75",
           "184_r0.75",
           "195_r0.75",
           "131_r0.75",
           "218_r0.75",
           "94_r0.75",
           "301_r0.75",
           "302_r0.75",
           "156_r0.75",
           "306_r0.75",
           "309_r0.75",
           "310_r0.75",
           "313_r0.75",
           "328_r0.75",
           "336_r0.75",
           "341_r0.75",
           "322_r0.75",
           "349_r0.75",
           "351_r0.75",
           "356_r0.75",
           "359_r0.75",
           "300_r0.75",
           "362_r0.75",
           "363_r0.75",
           "364_r0.75",
           "368_r0.75",
           "371_r0.75",
           "339_r0.75",
           "388_r0.75",
           "389_r0.75",
           "391_r0.75",
           "337_r0.75",
           "333_r0.75",
           "399_r0.75",
           "401_r0.75",
           "402_r0.75",
           "413_r0.75",
           "410_r0.75",
           "417_r0.75",
           "427_r0.75",
           "429_r0.75",
           "433_r0.75",
           "435_r0.75",
           "436_r0.75",
           "307_r0.75",
           "342_r0.75",
           "143_r0.75",
           "445_r0.75",
           "446_r0.75",
           "449_r0.75",
           "447_r0.75",
           "457_r0.75",
           "464_r0.75",
           "430_r0.75",
           "453_r0.75",
           "335_r0.75",
           "492_r0.75",
           "493_r0.75",
           "502_r0.75",
           "504_r0.75",
           "506_r0.75",
           "488_r0.75",
           "404_r0.75",
           "483_r0.75",
           "511_r0.75",
           "348_r0.75",
           "515_r0.75",
           "516_r0.75",
           "518_r0.75",
           "380_r0.75",
           "528_r0.75",
           "532_r0.75",
           "533_r0.75",
           "538_r0.75",
           "541_r0.75",
           "324_r0.75",
           "548_r0.75",
           "42_r0.75",
           "554_r0.75",
           "534_r0.75",
           "316_r0.75",
           "559_r0.75",
           "565_r0.75",
           "219_r0.75",
           "163_r0.75",
           "567_r0.75",
           "199_r0.75",
           "576_r0.75",
           "578_r0.75",
           "583_r0.75",
           "387_r0.75",
           "584_r0.75",
           "509_r0.75",
           "595_r0.75",
           "596_r0.75",
           "607_r0.75",
           "608_r0.75",
           "375_r0.75",
           "612_r0.75",
           "613_r0.75",
           "127_r0.75",
           "619_r0.75",
           "626_r0.75",
           "418_r0.75",
           "644_r0.75",
           "611_r0.75",
           "678_r0.75",
           "680_r0.75",
           "298_r0.75",
           "628_r0.75",
           "530_r0.75",
           "696_r0.75",
           "654_r0.75",
           "616_r0.75",
           "586_r0.75",
           "494_r0.75",
           "549_r0.75",
           "706_r0.75",
           "618_r0.75",
           "64_r0.75",
           "96_r0.75",
           "727_r0.75",
           "732_r0.75",
           "737_r0.75",
           "739_r0.75",
           "577_r0.75",
           "573_r0.75",
           "597_r0.75",
           "86_r0.75",
           "3_r1.0",
           "4_r1.0",
           "12_r1.0",
           "18_r1.0",
           "27_r1.0",
           "28_r1.0",
           "33_r1.0",
           "34_r1.0",
           "44_r1.0",
           "46_r1.0",
           "48_r1.0",
           "53_r1.0",
           "59_r1.0",
           "66_r1.0",
           "67_r1.0",
           "68_r1.0",
           "78_r1.0",
           "79_r1.0",
           "83_r1.0",
           "84_r1.0",
           "6_r1.0",
           "93_r1.0",
           "96_r1.0",
           "99_r1.0",
           "100_r1.0",
           "101_r1.0",
           "103_r1.0",
           "105_r1.0",
           "106_r1.0",
           "109_r1.0",
           "111_r1.0",
           "112_r1.0",
           "113_r1.0",
           "114_r1.0",
           "127_r1.0",
           "130_r1.0",
           "133_r1.0",
           "136_r1.0",
           "137_r1.0",
           "138_r1.0",
           "140_r1.0",
           "149_r1.0",
           "151_r1.0",
           "161_r1.0",
           "160_r1.0",
           "167_r1.0",
           "170_r1.0",
           "119_r1.0",
           "173_r1.0",
           "177_r1.0",
           "179_r1.0",
           "180_r1.0",
           "181_r1.0",
           "182_r1.0",
           "184_r1.0",
           "189_r1.0",
           "194_r1.0",
           "196_r1.0",
           "141_r1.0",
           "211_r1.0",
           "221_r1.0",
           "202_r1.0",
           "253_r1.0",
           "254_r1.0",
           "163_r1.0",
           "260_r1.0",
           "264_r1.0",
           "265_r1.0",
           "268_r1.0",
           "284_r1.0",
           "30_r1.0",
           "296_r1.0",
           "278_r1.0",
           "308_r1.0",
           "312_r1.0",
           "314_r1.0",
           "320_r1.0",
           "323_r1.0",
           "251_r1.0",
           "326_r1.0",
           "327_r1.0",
           "328_r1.0",
           "332_r1.0",
           "335_r1.0",
           "259_r1.0",
           "354_r1.0",
           "355_r1.0",
           "357_r1.0",
           "358_r1.0",
           "292_r1.0",
           "290_r1.0",
           "364_r1.0",
           "366_r1.0",
           "367_r1.0",
           "380_r1.0",
           "377_r1.0",
           "384_r1.0",
           "324_r1.0",
           "394_r1.0",
           "294_r1.0",
           "395_r1.0",
           "396_r1.0",
           "400_r1.0",
           "401_r1.0",
           "404_r1.0",
           "406_r1.0",
           "409_r1.0",
           "412_r1.0",
           "420_r1.0",
           "421_r1.0",
           "427_r1.0",
           "390_r1.0",
           "434_r1.0",
           "437_r1.0",
           "444_r1.0",
           "449_r1.0",
           "432_r1.0",
           "453_r1.0",
           "426_r1.0",
           "482_r1.0",
           "486_r1.0",
           "488_r1.0",
           "490_r1.0",
           "496_r1.0",
           "498_r1.0",
           "500_r1.0",
           "504_r1.0",
           "478_r1.0",
           "370_r1.0",
           "413_r1.0",
           "509_r1.0",
           "510_r1.0",
           "515_r1.0",
           "516_r1.0",
           "518_r1.0",
           "344_r1.0",
           "527_r1.0",
           "528_r1.0",
           "529_r1.0",
           "534_r1.0",
           "535_r1.0",
           "542_r1.0",
           "543_r1.0",
           "553_r1.0",
           "554_r1.0",
           "49_r1.0",
           "271_r1.0",
           "572_r1.0",
           "575_r1.0",
           "212_r1.0",
           "168_r1.0",
           "578_r1.0",
           "540_r1.0",
           "592_r1.0",
           "593_r1.0",
           "595_r1.0",
           "64_r1.0",
           "599_r1.0",
           "353_r1.0",
           "600_r1.0",
           "197_r1.0",
           "604_r1.0",
           "508_r1.0",
           "506_r1.0",
           "619_r1.0",
           "634_r1.0",
           "339_r1.0",
           "639_r1.0",
           "446_r1.0",
           "640_r1.0",
           "642_r1.0",
           "135_r1.0",
           "648_r1.0",
           "653_r1.0",
           "403_r1.0",
           "385_r1.0",
           "676_r1.0",
           "679_r1.0",
           "635_r1.0",
           "651_r1.0",
           "361_r1.0",
           "705_r1.0",
           "708_r1.0",
           "711_r1.0",
           "588_r1.0",
           "483_r1.0",
           "124_r1.0",
           "76_r1.0",
           "661_r1.0",
           "530_r1.0",
           "735_r1.0",
           "686_r1.0",
           "683_r1.0",
           "737_r1.0",
           "720_r1.0",
           "489_r1.0",
           "746_r1.0",
           "749_r1.0",
           "25_r1.0",
           "610_r1.0",
           "769_r1.0",
           "298_r1.0",
           "466_r1.0",
           "104_r1.0",
           "772_r1.0",
           "687_r1.0",
           "612_r1.0",
           "777_r1.0",
           "782_r1.0",
           "783_r1.0",
           "60_r1.0",
           "98_r1.0",
           "594_r1.0",
           "587_r1.0",
           "1_r1.0",
           "571_r1.0",
           "621_r1.0",
           "92_r1.0"
          ],
          "pad": 15,
          "thickness": 20
         },
         "type": "sankey"
        }
       ],
       "layout": {
        "height": 1000,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "ride or die: 0.5 max res, no NaN cell types"
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# take only the columns with modularity data\n",
    "ovi_HB_chunk = ride_or_die_df[['0.0','0.05','0.1','0.5','0.75','1.0']].copy()\n",
    "\n",
    "create_Sankey(ovi_HB_chunk,'ride or die: 0.5 max res, no NaN cell types')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [id,  key, 0.0, 0.05, 0.1, 0.5, 0.75, 1.0, instance, celltype, pre, post, downstream, upstream, mito, size, status, cropped, statusLabel, cellBodyFiber, somaRadius, somaLocation, roiInfo, notes, inputRois, outputRois]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 26 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ride_or_die_df[ride_or_die_df['celltype']=='FS1A']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "celltype\n",
       "FS3       28\n",
       "SMP566     2\n",
       "SMP563     2\n",
       "SMP564     2\n",
       "SMP374     2\n",
       "SMP060     2\n",
       "ATL008     1\n",
       "SMP567     1\n",
       "SMP240     1\n",
       "SMP023     1\n",
       "SMP189     1\n",
       "ATL024     1\n",
       "SMP595     1\n",
       "PLP121     1\n",
       "SMP153     1\n",
       "FB8I       1\n",
       "SMP046     1\n",
       "SMP188     1\n",
       "SMP199     1\n",
       "SMP452     1\n",
       "SMP181     1\n",
       "SMP559     1\n",
       "SMP147     1\n",
       "SMP144     1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ride_or_die_df[ride_or_die_df['0.05']==2]['celltype'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>pre</th>\n",
       "      <th>post</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>907</th>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>327</td>\n",
       "      <td>445</td>\n",
       "      <td>420</td>\n",
       "      <td>MBON04(B'2mp_bilateral)_R</td>\n",
       "      <td>MBON04</td>\n",
       "      <td>1776</td>\n",
       "      <td>16859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1643</th>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>327</td>\n",
       "      <td>445</td>\n",
       "      <td>420</td>\n",
       "      <td>MBON04(B'2mp_bilateral)_L</td>\n",
       "      <td>MBON04</td>\n",
       "      <td>1600</td>\n",
       "      <td>17615</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      0.0  0.05  0.1  0.5  0.75  1.0                   instance celltype  \\\n",
       "907     3     8    8  327   445  420  MBON04(B'2mp_bilateral)_R   MBON04   \n",
       "1643    3     8    8  327   445  420  MBON04(B'2mp_bilateral)_L   MBON04   \n",
       "\n",
       "       pre   post  \n",
       "907   1776  16859  \n",
       "1643  1600  17615  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ride_or_die_df[ride_or_die_df['celltype']=='MBON04'][['0.0','0.05','0.1','0.5','0.75','1.0','instance','celltype','pre','post']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>pre</th>\n",
       "      <th>post</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2286</th>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>327</td>\n",
       "      <td>445</td>\n",
       "      <td>420</td>\n",
       "      <td>PPL107_R</td>\n",
       "      <td>PPL107</td>\n",
       "      <td>5040</td>\n",
       "      <td>12366</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      0.0  0.05  0.1  0.5  0.75  1.0  instance celltype   pre   post\n",
       "2286    3     8    8  327   445  420  PPL107_R   PPL107  5040  12366"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ride_or_die_df[ride_or_die_df['celltype']=='PPL107'][['0.0','0.05','0.1','0.5','0.75','1.0','instance','celltype','pre','post']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0.75"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the max res to use\n",
    "max_res = '0.75'\n",
    "\n",
    "# the df to use since we don't need body ids\n",
    "test = pretest[['0.0','0.05','0.1','0.5','0.75']].copy()\n",
    "\n",
    "# get a list of module ids\n",
    "module_ids = test[max_res].unique().tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1013066710</td>\n",
       "      <td>22</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "      <td>CRE071_R</td>\n",
       "      <td>CRE071</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM17</td>\n",
       "      <td>396.5</td>\n",
       "      <td>[11636, 34239, 26536]</td>\n",
       "      <td>{'SNP(R)': {'pre': 12, 'post': 95, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AL(R)', 'AL-DP1l(R)', 'CRE(-ROB,-RUB)(R)', '...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1013416147</td>\n",
       "      <td>24</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>CRE100_R</td>\n",
       "      <td>CRE100</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM27</td>\n",
       "      <td>401.0</td>\n",
       "      <td>[23180, 15645, 12816]</td>\n",
       "      <td>{'SNP(L)': {'pre': 1, 'post': 3, 'downstream':...</td>\n",
       "      <td>CL-VeSp</td>\n",
       "      <td>['CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'FLA...</td>\n",
       "      <td>['CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'FLA...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1014802430</td>\n",
       "      <td>36</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>20</td>\n",
       "      <td>21</td>\n",
       "      <td>25</td>\n",
       "      <td>LAL175_R</td>\n",
       "      <td>LAL175</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVM03</td>\n",
       "      <td>415.5</td>\n",
       "      <td>[20606, 9708, 21888]</td>\n",
       "      <td>{'SNP(R)': {'pre': 8, 'post': 94, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>1020608279</td>\n",
       "      <td>48</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>29</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>ATL027_R</td>\n",
       "      <td>ATL027</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM13</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[23290, 17776, 12048]</td>\n",
       "      <td>{'SNP(R)': {'pre': 31, 'post': 78, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(L)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE...</td>\n",
       "      <td>['ATL(L)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>1036257907</td>\n",
       "      <td>51</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>34</td>\n",
       "      <td>IB087_R</td>\n",
       "      <td>IB087</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVM08</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[10323, 10469, 16344]</td>\n",
       "      <td>{'INP': {'pre': 111, 'post': 196, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(L)', 'ATL(R)', 'IB', 'ICL(R)', 'INP', 'P...</td>\n",
       "      <td>['ATL(L)', 'ATL(R)', 'IB', 'ICL(R)', 'INP', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2480</th>\n",
       "      <td>979368408</td>\n",
       "      <td>2481</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>70</td>\n",
       "      <td>99</td>\n",
       "      <td>FS3(FQ11)_C4_R</td>\n",
       "      <td>FS3</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[20038, 13800, 11392]</td>\n",
       "      <td>{'SNP(R)': {'pre': 34, 'post': 24, 'downstream...</td>\n",
       "      <td>FB1d367SMP</td>\n",
       "      <td>['CX', 'FB', 'FB-column3', 'FBl1', 'FBl2', 'FB...</td>\n",
       "      <td>['CX', 'FB', 'FB-column3', 'FBl6', 'FBl7', 'FB...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2481</th>\n",
       "      <td>980978890</td>\n",
       "      <td>2482</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>414</td>\n",
       "      <td>619</td>\n",
       "      <td>648</td>\n",
       "      <td>CRE061_R</td>\n",
       "      <td>CRE061</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM13</td>\n",
       "      <td>361.5</td>\n",
       "      <td>[12057, 34635, 24688]</td>\n",
       "      <td>{'SNP(R)': {'pre': 24, 'post': 24, 'downstream...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...</td>\n",
       "      <td>['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2494</th>\n",
       "      <td>983767417</td>\n",
       "      <td>2495</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>31</td>\n",
       "      <td>752</td>\n",
       "      <td>134</td>\n",
       "      <td>LAL175_R</td>\n",
       "      <td>LAL175</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVM03</td>\n",
       "      <td>335.0</td>\n",
       "      <td>[17040, 9200, 20880]</td>\n",
       "      <td>{'SNP(R)': {'pre': 1, 'post': 13, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2503</th>\n",
       "      <td>986098785</td>\n",
       "      <td>2504</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>427</td>\n",
       "      <td>644</td>\n",
       "      <td>676</td>\n",
       "      <td>AOTU008_a_R</td>\n",
       "      <td>AOTU008_a</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADL08</td>\n",
       "      <td>258.5</td>\n",
       "      <td>[10014, 33018, 17344]</td>\n",
       "      <td>{'SNP(R)': {'pre': 111, 'post': 179, 'downstre...</td>\n",
       "      <td>aSP11b candidates</td>\n",
       "      <td>['AOTU(R)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CR...</td>\n",
       "      <td>['AOTU(R)', 'ATL(R)', 'IB', 'INP', 'MB(+ACA)(R...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2505</th>\n",
       "      <td>987117151</td>\n",
       "      <td>2506</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>53</td>\n",
       "      <td>63</td>\n",
       "      <td>68</td>\n",
       "      <td>LAL010_R</td>\n",
       "      <td>LAL010</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADM03</td>\n",
       "      <td>292.5</td>\n",
       "      <td>[15520, 32234, 10016]</td>\n",
       "      <td>{'SNP(R)': {'pre': 2, 'post': 82, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>377 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id   key  0.0  0.05  0.1  0.5  0.75  1.0        instance  \\\n",
       "21    1013066710    22    3     3    4   16    16   17        CRE071_R   \n",
       "23    1013416147    24    2     3    4   18    18   18        CRE100_R   \n",
       "35    1014802430    36    2     7    7   20    21   25        LAL175_R   \n",
       "47    1020608279    48    2     3    4   29    33   33        ATL027_R   \n",
       "50    1036257907    51    1     1    1    6     6   34         IB087_R   \n",
       "...          ...   ...  ...   ...  ...  ...   ...  ...             ...   \n",
       "2480   979368408  2481    3     2    3   10    70   99  FS3(FQ11)_C4_R   \n",
       "2481   980978890  2482    2     3    4  414   619  648        CRE061_R   \n",
       "2494   983767417  2495    2     7    7   31   752  134        LAL175_R   \n",
       "2503   986098785  2504    2     1    6  427   644  676     AOTU008_a_R   \n",
       "2505   987117151  2506    2     7    7   53    63   68        LAL010_R   \n",
       "\n",
       "       celltype  ...  status  cropped     statusLabel  cellBodyFiber  \\\n",
       "21       CRE071  ...  Traced    False  Roughly traced          AVM17   \n",
       "23       CRE100  ...  Traced    False  Roughly traced          PDM27   \n",
       "35       LAL175  ...  Traced    False  Roughly traced          PVM03   \n",
       "47       ATL027  ...  Traced    False  Roughly traced          PDM13   \n",
       "50        IB087  ...  Traced    False  Roughly traced          PVM08   \n",
       "...         ...  ...     ...      ...             ...            ...   \n",
       "2480        FS3  ...  Traced    False  Roughly traced          PDM03   \n",
       "2481     CRE061  ...  Traced    False  Roughly traced          AVM13   \n",
       "2494     LAL175  ...  Traced    False  Roughly traced          PVM03   \n",
       "2503  AOTU008_a  ...  Traced    False  Roughly traced          ADL08   \n",
       "2505     LAL010  ...  Traced    False  Roughly traced          ADM03   \n",
       "\n",
       "      somaRadius           somaLocation  \\\n",
       "21         396.5  [11636, 34239, 26536]   \n",
       "23         401.0  [23180, 15645, 12816]   \n",
       "35         415.5   [20606, 9708, 21888]   \n",
       "47         301.0  [23290, 17776, 12048]   \n",
       "50         301.0  [10323, 10469, 16344]   \n",
       "...          ...                    ...   \n",
       "2480       301.0  [20038, 13800, 11392]   \n",
       "2481       361.5  [12057, 34635, 24688]   \n",
       "2494       335.0   [17040, 9200, 20880]   \n",
       "2503       258.5  [10014, 33018, 17344]   \n",
       "2505       292.5  [15520, 32234, 10016]   \n",
       "\n",
       "                                                roiInfo              notes  \\\n",
       "21    {'SNP(R)': {'pre': 12, 'post': 95, 'downstream...                NaN   \n",
       "23    {'SNP(L)': {'pre': 1, 'post': 3, 'downstream':...            CL-VeSp   \n",
       "35    {'SNP(R)': {'pre': 8, 'post': 94, 'downstream'...                NaN   \n",
       "47    {'SNP(R)': {'pre': 31, 'post': 78, 'downstream...                NaN   \n",
       "50    {'INP': {'pre': 111, 'post': 196, 'downstream'...                NaN   \n",
       "...                                                 ...                ...   \n",
       "2480  {'SNP(R)': {'pre': 34, 'post': 24, 'downstream...         FB1d367SMP   \n",
       "2481  {'SNP(R)': {'pre': 24, 'post': 24, 'downstream...                NaN   \n",
       "2494  {'SNP(R)': {'pre': 1, 'post': 13, 'downstream'...                NaN   \n",
       "2503  {'SNP(R)': {'pre': 111, 'post': 179, 'downstre...  aSP11b candidates   \n",
       "2505  {'SNP(R)': {'pre': 2, 'post': 82, 'downstream'...                NaN   \n",
       "\n",
       "                                              inputRois  \\\n",
       "21    ['AL(R)', 'AL-DP1l(R)', 'CRE(-ROB,-RUB)(R)', '...   \n",
       "23    ['CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'FLA...   \n",
       "35    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "47    ['ATL(L)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE...   \n",
       "50    ['ATL(L)', 'ATL(R)', 'IB', 'ICL(R)', 'INP', 'P...   \n",
       "...                                                 ...   \n",
       "2480  ['CX', 'FB', 'FB-column3', 'FBl1', 'FBl2', 'FB...   \n",
       "2481  ['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...   \n",
       "2494  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...   \n",
       "2503  ['AOTU(R)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CR...   \n",
       "2505  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...   \n",
       "\n",
       "                                             outputRois  \n",
       "21    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "23    ['CAN(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'FLA...  \n",
       "35    ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...  \n",
       "47    ['ATL(L)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE...  \n",
       "50    ['ATL(L)', 'ATL(R)', 'IB', 'ICL(R)', 'INP', 'S...  \n",
       "...                                                 ...  \n",
       "2480  ['CX', 'FB', 'FB-column3', 'FBl6', 'FBl7', 'FB...  \n",
       "2481  ['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EP...  \n",
       "2494  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...  \n",
       "2503  ['AOTU(R)', 'ATL(R)', 'IB', 'INP', 'MB(+ACA)(R...  \n",
       "2505  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...  \n",
       "\n",
       "[377 rows x 26 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create an empty list to store the module ids of the riders\n",
    "ride_or_die_modules = []\n",
    "\n",
    "for i in module_ids:\n",
    "    # grab the rows that have the module id\n",
    "    test_mod = test[test[max_res]==i]\n",
    "\n",
    "    # first test whether there is more than one row since singletons won't count\n",
    "    if test_mod.shape[0] > 1:\n",
    "\n",
    "        # tests for number of unique rows\n",
    "        if test_mod.drop_duplicates().shape[0] == 1:\n",
    "            # if all rows are duplicates of each other, then append the module id to the list\n",
    "            ride_or_die_modules.append(i)\n",
    "\n",
    "# retrieve the rows of the original dataframe that have ride or die modules\n",
    "ride_or_die_df = pretest[pretest[max_res].isin(ride_or_die_modules)]\n",
    "ride_or_die_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "link": {
          "source": [
           2,
           2,
           2,
           1,
           1,
           1,
           0,
           0,
           0,
           4,
           3,
           3,
           10,
           10,
           12,
           7,
           7,
           7,
           8,
           8,
           8,
           5,
           5,
           11,
           6,
           6,
           6,
           9,
           9,
           16,
           25,
           25,
           25,
           25,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           22,
           19,
           17,
           17,
           18,
           18,
           18,
           18,
           18,
           18,
           18,
           18,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           13,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           48,
           49,
           58,
           56,
           50,
           37,
           53,
           54,
           55,
           57,
           108,
           26,
           26,
           26,
           59,
           93,
           27,
           33,
           33,
           51,
           28,
           28,
           52,
           62,
           60,
           60,
           60,
           73,
           61,
           87,
           87,
           75,
           75,
           63,
           63,
           65,
           64,
           69,
           66,
           67,
           67,
           84,
           68,
           70,
           71,
           74,
           76,
           77,
           78,
           79,
           80,
           82,
           29,
           106,
           81,
           31,
           31,
           31,
           112,
           112,
           85,
           86,
           88,
           89,
           99,
           107,
           91,
           91,
           90,
           92,
           102,
           98,
           98,
           94,
           95,
           32,
           96,
           97,
           114,
           100,
           101,
           103,
           104,
           105,
           109,
           44,
           113,
           111,
           115,
           72,
           72,
           116,
           117,
           118,
           34,
           35,
           36,
           38,
           40,
           39,
           30,
           41,
           42,
           43,
           45,
           45,
           46,
           46,
           83,
           83,
           110,
           47,
           140,
           141,
           142,
           207,
           143,
           144,
           154,
           145,
           146,
           146,
           147,
           147,
           147,
           148,
           148,
           148,
           148,
           119,
           149,
           150,
           151,
           120,
           152,
           153,
           121,
           121,
           121,
           155,
           126,
           156,
           157,
           158,
           159,
           163,
           163,
           160,
           160,
           161,
           122,
           122,
           162,
           162,
           164,
           165,
           166,
           167,
           168,
           169,
           169,
           124,
           170,
           170,
           171,
           172,
           173,
           174,
           175,
           176,
           177,
           178,
           179,
           179,
           179,
           179,
           179,
           179,
           180,
           125,
           181,
           182,
           183,
           183,
           184,
           184,
           184,
           185,
           186,
           187,
           187,
           188,
           189,
           189,
           189,
           190,
           190,
           191,
           191,
           192,
           193,
           194,
           194,
           195,
           196,
           197,
           198,
           199,
           199,
           200,
           201,
           223,
           223,
           202,
           202,
           203,
           204,
           204,
           204,
           205,
           206,
           208,
           209,
           127,
           210,
           211,
           128,
           212,
           212,
           213,
           213,
           129,
           214,
           214,
           130,
           215,
           216,
           217,
           218,
           219,
           220,
           220,
           221,
           222,
           222,
           131,
           123,
           123,
           123,
           132,
           132,
           133,
           224,
           225,
           225,
           226,
           227,
           228,
           229,
           229,
           134,
           134,
           134,
           134,
           134,
           230,
           230,
           135,
           135,
           135,
           136,
           137,
           137,
           137,
           137,
           138,
           139,
           139,
           139,
           139,
           139
          ],
          "target": [
           10,
           7,
           8,
           7,
           5,
           6,
           8,
           5,
           9,
           12,
           10,
           11,
           24,
           21,
           25,
           15,
           22,
           21,
           17,
           18,
           21,
           13,
           14,
           23,
           16,
           19,
           14,
           23,
           20,
           31,
           112,
           88,
           101,
           103,
           75,
           66,
           71,
           80,
           89,
           102,
           105,
           110,
           51,
           32,
           38,
           30,
           42,
           45,
           46,
           62,
           60,
           73,
           63,
           65,
           67,
           76,
           79,
           86,
           91,
           90,
           83,
           58,
           49,
           33,
           40,
           37,
           64,
           69,
           68,
           70,
           74,
           78,
           82,
           53,
           54,
           26,
           27,
           29,
           81,
           98,
           95,
           96,
           104,
           118,
           41,
           57,
           108,
           59,
           93,
           61,
           87,
           99,
           107,
           97,
           100,
           109,
           111,
           72,
           48,
           56,
           55,
           28,
           52,
           31,
           44,
           115,
           117,
           34,
           35,
           36,
           39,
           43,
           47,
           50,
           84,
           77,
           106,
           85,
           92,
           94,
           114,
           113,
           116,
           143,
           144,
           154,
           152,
           145,
           132,
           148,
           149,
           150,
           153,
           215,
           119,
           126,
           194,
           155,
           197,
           120,
           127,
           131,
           146,
           121,
           224,
           147,
           158,
           156,
           161,
           171,
           172,
           157,
           188,
           192,
           174,
           179,
           159,
           160,
           163,
           162,
           167,
           164,
           165,
           181,
           185,
           166,
           168,
           169,
           173,
           175,
           176,
           177,
           178,
           180,
           183,
           122,
           213,
           182,
           207,
           124,
           230,
           220,
           222,
           186,
           187,
           189,
           190,
           205,
           214,
           193,
           196,
           191,
           195,
           209,
           204,
           218,
           198,
           199,
           125,
           200,
           201,
           223,
           206,
           208,
           210,
           211,
           212,
           216,
           139,
           221,
           219,
           226,
           170,
           203,
           227,
           228,
           229,
           128,
           129,
           130,
           133,
           135,
           134,
           123,
           136,
           137,
           138,
           140,
           151,
           141,
           225,
           184,
           202,
           217,
           142,
           257,
           259,
           260,
           349,
           262,
           263,
           278,
           264,
           266,
           342,
           267,
           384,
           370,
           268,
           234,
           324,
           351,
           231,
           270,
           271,
           273,
           232,
           275,
           276,
           265,
           233,
           338,
           279,
           238,
           281,
           282,
           283,
           284,
           288,
           310,
           285,
           291,
           286,
           234,
           336,
           287,
           294,
           289,
           290,
           292,
           293,
           295,
           296,
           360,
           236,
           297,
           362,
           298,
           299,
           300,
           301,
           302,
           303,
           304,
           305,
           306,
           308,
           314,
           355,
           344,
           371,
           307,
           237,
           309,
           311,
           312,
           331,
           357,
           313,
           334,
           315,
           316,
           317,
           341,
           318,
           319,
           323,
           367,
           378,
           320,
           321,
           353,
           322,
           325,
           326,
           346,
           327,
           328,
           329,
           330,
           268,
           332,
           333,
           335,
           386,
           377,
           339,
           337,
           340,
           382,
           358,
           343,
           345,
           347,
           350,
           354,
           239,
           356,
           359,
           240,
           361,
           372,
           363,
           392,
           241,
           364,
           379,
           242,
           365,
           366,
           368,
           369,
           373,
           380,
           374,
           375,
           376,
           381,
           243,
           352,
           235,
           248,
           244,
           252,
           245,
           383,
           388,
           379,
           385,
           387,
           389,
           342,
           390,
           255,
           269,
           246,
           247,
           393,
           349,
           391,
           261,
           249,
           251,
           250,
           253,
           274,
           394,
           280,
           254,
           256,
           258,
           272,
           277,
           348
          ],
          "value": [
           68,
           13,
           11,
           28,
           48,
           80,
           32,
           4,
           31,
           13,
           2,
           47,
           50,
           20,
           13,
           23,
           2,
           16,
           12,
           29,
           2,
           50,
           2,
           47,
           5,
           2,
           73,
           2,
           29,
           5,
           5,
           4,
           2,
           2,
           23,
           2,
           6,
           2,
           10,
           2,
           3,
           2,
           2,
           2,
           2,
           4,
           4,
           5,
           4,
           2,
           7,
           2,
           8,
           2,
           9,
           2,
           3,
           2,
           5,
           2,
           5,
           2,
           2,
           5,
           7,
           7,
           5,
           2,
           3,
           2,
           4,
           2,
           4,
           7,
           2,
           8,
           3,
           5,
           3,
           6,
           3,
           3,
           4,
           3,
           3,
           2,
           3,
           2,
           2,
           2,
           8,
           2,
           3,
           2,
           2,
           2,
           3,
           5,
           2,
           2,
           2,
           15,
           4,
           2,
           14,
           2,
           2,
           2,
           2,
           4,
           9,
           4,
           9,
           2,
           3,
           5,
           2,
           5,
           2,
           2,
           4,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           7,
           7,
           2,
           2,
           2,
           3,
           2,
           2,
           4,
           2,
           2,
           3,
           3,
           2,
           2,
           12,
           3,
           4,
           2,
           2,
           2,
           3,
           2,
           2,
           4,
           4,
           4,
           19,
           4,
           4,
           2,
           5,
           2,
           2,
           3,
           6,
           3,
           3,
           2,
           6,
           4,
           2,
           5,
           2,
           3,
           2,
           4,
           5,
           2,
           3,
           3,
           2,
           2,
           2,
           3,
           5,
           2,
           4,
           10,
           2,
           3,
           3,
           2,
           2,
           2,
           2,
           4,
           2,
           2,
           3,
           2,
           3,
           2,
           4,
           2,
           2,
           2,
           4,
           3,
           2,
           14,
           2,
           3,
           2,
           3,
           2,
           2,
           2,
           3,
           2,
           2,
           4,
           2,
           7,
           9,
           4,
           3,
           4,
           4,
           2,
           3,
           2,
           2,
           3,
           2,
           2,
           9,
           2,
           2,
           9,
           3,
           2,
           2,
           2,
           2,
           1,
           1,
           2,
           1,
           1,
           2,
           1,
           2,
           2,
           2,
           2,
           2,
           3,
           3,
           2,
           2,
           8,
           1,
           3,
           2,
           2,
           2,
           2,
           2,
           4,
           1,
           1,
           3,
           1,
           2,
           3,
           2,
           2,
           3,
           2,
           3,
           3,
           2,
           2,
           1,
           5,
           2,
           1,
           2,
           3,
           2,
           4,
           4,
           2,
           5,
           2,
           3,
           2,
           1,
           9,
           2,
           4,
           1,
           2,
           2,
           6,
           3,
           1,
           3,
           1,
           1,
           1,
           3,
           5,
           1,
           1,
           4,
           1,
           2,
           1,
           1,
           9,
           1,
           1,
           4,
           3,
           3,
           1,
           2,
           2,
           2,
           2,
           1,
           2,
           3,
           2,
           1,
           3,
           1,
           1,
           2,
           1,
           1,
           2,
           2,
           2,
           2,
           2,
           3,
           2,
           4,
           2,
           1,
           2,
           1,
           1,
           2,
           2,
           1,
           4,
           3,
           2,
           2,
           2,
           3,
           1,
           1,
           2,
           2,
           1,
           2,
           1,
           1,
           2,
           4,
           3,
           2,
           3,
           1,
           1,
           2,
           2,
           2,
           2,
           1,
           2,
           3,
           1,
           2,
           1,
           1,
           1,
           1,
           2,
           4,
           3,
           1,
           1,
           1,
           1,
           4,
           2,
           2,
           3,
           6,
           1
          ]
         },
         "node": {
          "label": [
           "3_r0.0",
           "2_r0.0",
           "1_r0.0",
           "5_r0.0",
           "4_r0.0",
           "3_r0.05",
           "7_r0.05",
           "1_r0.05",
           "2_r0.05",
           "8_r0.05",
           "13_r0.05",
           "5_r0.05",
           "15_r0.05",
           "4_r0.1",
           "7_r0.1",
           "1_r0.1",
           "10_r0.1",
           "2_r0.1",
           "3_r0.1",
           "22_r0.1",
           "8_r0.1",
           "6_r0.1",
           "21_r0.1",
           "20_r0.1",
           "15_r0.1",
           "11_r0.1",
           "16_r0.5",
           "18_r0.5",
           "20_r0.5",
           "29_r0.5",
           "6_r0.5",
           "31_r0.5",
           "37_r0.5",
           "19_r0.5",
           "51_r0.5",
           "52_r0.5",
           "53_r0.5",
           "10_r0.5",
           "59_r0.5",
           "61_r0.5",
           "5_r0.5",
           "71_r0.5",
           "75_r0.5",
           "76_r0.5",
           "42_r0.5",
           "82_r0.5",
           "8_r0.5",
           "95_r0.5",
           "100_r0.5",
           "102_r0.5",
           "108_r0.5",
           "1_r0.5",
           "21_r0.5",
           "124_r0.5",
           "132_r0.5",
           "134_r0.5",
           "107_r0.5",
           "148_r0.5",
           "103_r0.5",
           "172_r0.5",
           "241_r0.5",
           "245_r0.5",
           "240_r0.5",
           "249_r0.5",
           "257_r0.5",
           "254_r0.5",
           "270_r0.5",
           "271_r0.5",
           "273_r0.5",
           "263_r0.5",
           "275_r0.5",
           "277_r0.5",
           "48_r0.5",
           "242_r0.5",
           "281_r0.5",
           "248_r0.5",
           "284_r0.5",
           "292_r0.5",
           "293_r0.5",
           "294_r0.5",
           "297_r0.5",
           "318_r0.5",
           "299_r0.5",
           "90_r0.5",
           "272_r0.5",
           "327_r0.5",
           "328_r0.5",
           "246_r0.5",
           "334_r0.5",
           "337_r0.5",
           "342_r0.5",
           "341_r0.5",
           "364_r0.5",
           "178_r0.5",
           "370_r0.5",
           "378_r0.5",
           "383_r0.5",
           "387_r0.5",
           "36_r0.5",
           "338_r0.5",
           "396_r0.5",
           "397_r0.5",
           "369_r0.5",
           "411_r0.5",
           "414_r0.5",
           "417_r0.5",
           "306_r0.5",
           "33_r0.5",
           "15_r0.5",
           "427_r0.5",
           "91_r0.5",
           "449_r0.5",
           "323_r0.5",
           "447_r0.5",
           "388_r0.5",
           "485_r0.5",
           "493_r0.5",
           "500_r0.5",
           "501_r0.5",
           "16_r0.75",
           "18_r0.75",
           "21_r0.75",
           "33_r0.75",
           "6_r0.75",
           "35_r0.75",
           "41_r0.75",
           "27_r0.75",
           "60_r0.75",
           "61_r0.75",
           "62_r0.75",
           "63_r0.75",
           "69_r0.75",
           "70_r0.75",
           "71_r0.75",
           "74_r0.75",
           "76_r0.75",
           "87_r0.75",
           "92_r0.75",
           "93_r0.75",
           "97_r0.75",
           "102_r0.75",
           "115_r0.75",
           "119_r0.75",
           "128_r0.75",
           "130_r0.75",
           "137_r0.75",
           "160_r0.75",
           "162_r0.75",
           "166_r0.75",
           "174_r0.75",
           "176_r0.75",
           "181_r0.75",
           "191_r0.75",
           "195_r0.75",
           "131_r0.75",
           "224_r0.75",
           "301_r0.75",
           "306_r0.75",
           "319_r0.75",
           "320_r0.75",
           "327_r0.75",
           "328_r0.75",
           "340_r0.75",
           "322_r0.75",
           "349_r0.75",
           "350_r0.75",
           "351_r0.75",
           "352_r0.75",
           "356_r0.75",
           "359_r0.75",
           "360_r0.75",
           "362_r0.75",
           "363_r0.75",
           "364_r0.75",
           "367_r0.75",
           "371_r0.75",
           "388_r0.75",
           "389_r0.75",
           "391_r0.75",
           "397_r0.75",
           "399_r0.75",
           "425_r0.75",
           "435_r0.75",
           "436_r0.75",
           "438_r0.75",
           "440_r0.75",
           "445_r0.75",
           "446_r0.75",
           "450_r0.75",
           "457_r0.75",
           "458_r0.75",
           "464_r0.75",
           "468_r0.75",
           "495_r0.75",
           "501_r0.75",
           "504_r0.75",
           "512_r0.75",
           "515_r0.75",
           "516_r0.75",
           "532_r0.75",
           "541_r0.75",
           "548_r0.75",
           "551_r0.75",
           "561_r0.75",
           "568_r0.75",
           "572_r0.75",
           "578_r0.75",
           "124_r0.75",
           "583_r0.75",
           "595_r0.75",
           "612_r0.75",
           "619_r0.75",
           "626_r0.75",
           "629_r0.75",
           "633_r0.75",
           "643_r0.75",
           "644_r0.75",
           "652_r0.75",
           "661_r0.75",
           "680_r0.75",
           "686_r0.75",
           "696_r0.75",
           "699_r0.75",
           "549_r0.75",
           "724_r0.75",
           "728_r0.75",
           "731_r0.75",
           "732_r0.75",
           "737_r0.75",
           "739_r0.75",
           "752_r0.75",
           "17_r1.0",
           "18_r1.0",
           "25_r1.0",
           "33_r1.0",
           "34_r1.0",
           "35_r1.0",
           "48_r1.0",
           "62_r1.0",
           "65_r1.0",
           "66_r1.0",
           "67_r1.0",
           "68_r1.0",
           "76_r1.0",
           "78_r1.0",
           "80_r1.0",
           "83_r1.0",
           "84_r1.0",
           "6_r1.0",
           "86_r1.0",
           "93_r1.0",
           "95_r1.0",
           "99_r1.0",
           "100_r1.0",
           "101_r1.0",
           "103_r1.0",
           "105_r1.0",
           "109_r1.0",
           "113_r1.0",
           "123_r1.0",
           "127_r1.0",
           "129_r1.0",
           "137_r1.0",
           "140_r1.0",
           "149_r1.0",
           "139_r1.0",
           "165_r1.0",
           "167_r1.0",
           "170_r1.0",
           "173_r1.0",
           "177_r1.0",
           "179_r1.0",
           "180_r1.0",
           "182_r1.0",
           "189_r1.0",
           "190_r1.0",
           "194_r1.0",
           "196_r1.0",
           "141_r1.0",
           "216_r1.0",
           "202_r1.0",
           "253_r1.0",
           "260_r1.0",
           "275_r1.0",
           "276_r1.0",
           "283_r1.0",
           "284_r1.0",
           "299_r1.0",
           "278_r1.0",
           "308_r1.0",
           "310_r1.0",
           "311_r1.0",
           "312_r1.0",
           "313_r1.0",
           "315_r1.0",
           "320_r1.0",
           "323_r1.0",
           "257_r1.0",
           "326_r1.0",
           "327_r1.0",
           "328_r1.0",
           "331_r1.0",
           "335_r1.0",
           "354_r1.0",
           "355_r1.0",
           "357_r1.0",
           "266_r1.0",
           "364_r1.0",
           "298_r1.0",
           "392_r1.0",
           "294_r1.0",
           "400_r1.0",
           "401_r1.0",
           "407_r1.0",
           "408_r1.0",
           "411_r1.0",
           "420_r1.0",
           "421_r1.0",
           "428_r1.0",
           "437_r1.0",
           "438_r1.0",
           "444_r1.0",
           "451_r1.0",
           "453_r1.0",
           "482_r1.0",
           "491_r1.0",
           "495_r1.0",
           "498_r1.0",
           "511_r1.0",
           "515_r1.0",
           "516_r1.0",
           "529_r1.0",
           "534_r1.0",
           "542_r1.0",
           "539_r1.0",
           "553_r1.0",
           "554_r1.0",
           "422_r1.0",
           "561_r1.0",
           "344_r1.0",
           "569_r1.0",
           "434_r1.0",
           "571_r1.0",
           "579_r1.0",
           "583_r1.0",
           "586_r1.0",
           "532_r1.0",
           "595_r1.0",
           "64_r1.0",
           "134_r1.0",
           "599_r1.0",
           "600_r1.0",
           "197_r1.0",
           "508_r1.0",
           "619_r1.0",
           "501_r1.0",
           "640_r1.0",
           "261_r1.0",
           "47_r1.0",
           "648_r1.0",
           "653_r1.0",
           "403_r1.0",
           "473_r1.0",
           "396_r1.0",
           "664_r1.0",
           "675_r1.0",
           "676_r1.0",
           "679_r1.0",
           "683_r1.0",
           "644_r1.0",
           "651_r1.0",
           "658_r1.0",
           "705_r1.0",
           "711_r1.0",
           "722_r1.0",
           "735_r1.0",
           "656_r1.0",
           "746_r1.0",
           "332_r1.0",
           "748_r1.0",
           "657_r1.0",
           "754_r1.0",
           "210_r1.0",
           "768_r1.0",
           "466_r1.0",
           "776_r1.0",
           "612_r1.0",
           "777_r1.0",
           "747_r1.0",
           "783_r1.0",
           "60_r1.0",
           "609_r1.0",
           "641_r1.0",
           "98_r1.0",
           "1_r1.0"
          ],
          "pad": 15,
          "thickness": 20
         },
         "type": "sankey"
        }
       ],
       "layout": {
        "height": 1000,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "ride or die: 0.75 max res, no NaN cell types"
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# take only the columns with modularity data\n",
    "ovi_HB_chunk = ride_or_die_df[['0.0','0.05','0.1','0.5','0.75','1.0']].copy()\n",
    "\n",
    "create_Sankey(ovi_HB_chunk,'ride or die: 0.75 max res, no NaN cell types')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [id,  key, 0.0, 0.05, 0.1, 0.5, 0.75, 1.0, instance, celltype, pre, post, downstream, upstream, mito, size, status, cropped, statusLabel, cellBodyFiber, somaRadius, somaLocation, roiInfo, notes, inputRois, outputRois]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 26 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ride_or_die_df[ride_or_die_df['celltype']=='FS1A']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>1066516552</td>\n",
       "      <td>96</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>60</td>\n",
       "      <td>65</td>\n",
       "      <td>PLP042_b_R</td>\n",
       "      <td>PLP042_b</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVL04</td>\n",
       "      <td>291.5</td>\n",
       "      <td>[468, 25475, 20836]</td>\n",
       "      <td>{'SNP(R)': {'pre': 6, 'post': 32, 'downstream'...</td>\n",
       "      <td>Pl-C</td>\n",
       "      <td>['AOT(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP...</td>\n",
       "      <td>['AOT(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>1072503099</td>\n",
       "      <td>113</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>69</td>\n",
       "      <td>76</td>\n",
       "      <td>FC1E(FQ6)_C6_L</td>\n",
       "      <td>FC1E</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>299.0</td>\n",
       "      <td>[30426, 15829, 7848]</td>\n",
       "      <td>{'SNP(R)': {'pre': 11, 'post': 1, 'downstream'...</td>\n",
       "      <td>FB2CRE</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>1072533980</td>\n",
       "      <td>115</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>70</td>\n",
       "      <td>78</td>\n",
       "      <td>FS3(FQ11)_C7_L</td>\n",
       "      <td>FS3</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[34074, 12511, 14512]</td>\n",
       "      <td>{'SNP(R)': {'pre': 27, 'post': 24, 'downstream...</td>\n",
       "      <td>FB1d367SMP</td>\n",
       "      <td>['CX', 'FB', 'FBl1', 'FBl2', 'FBl3', 'FBl4', '...</td>\n",
       "      <td>['CX', 'FB', 'FBl3', 'FBl4', 'FBl6', 'FBl7', '...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>1100801188</td>\n",
       "      <td>133</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>76</td>\n",
       "      <td>86</td>\n",
       "      <td>FB4D_R</td>\n",
       "      <td>FB4D</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 12, 'post': 204, 'downstrea...</td>\n",
       "      <td>CRESMPFB4_2</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>1132168616</td>\n",
       "      <td>155</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>76</td>\n",
       "      <td>95</td>\n",
       "      <td>FB4Q_b_R</td>\n",
       "      <td>FB4Q_b</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM10</td>\n",
       "      <td>356.5</td>\n",
       "      <td>[12901, 33592, 19672]</td>\n",
       "      <td>{'SNP(R)': {'pre': 2, 'post': 267, 'downstream...</td>\n",
       "      <td>CRESMPFB4_5</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>1132176882</td>\n",
       "      <td>157</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>60</td>\n",
       "      <td>65</td>\n",
       "      <td>FC1C(FQ6)_C5_L</td>\n",
       "      <td>FC1C</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM02</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[30125, 16760, 11064]</td>\n",
       "      <td>{'SNP(R)': {'pre': 17, 'post': 8, 'downstream'...</td>\n",
       "      <td>FB2CRE</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>1135881013</td>\n",
       "      <td>163</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>70</td>\n",
       "      <td>78</td>\n",
       "      <td>FS3(FQ11)_C1_R</td>\n",
       "      <td>FS3</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>266.5</td>\n",
       "      <td>[20123, 9292, 18528]</td>\n",
       "      <td>{'SNP(L)': {'pre': 22, 'post': 19, 'downstream...</td>\n",
       "      <td>FB1d367SMP</td>\n",
       "      <td>['CX', 'FB', 'FBl1', 'FBl2', 'FBl3', 'FBl4', '...</td>\n",
       "      <td>['CX', 'FB', 'FBl1', 'FBl5', 'FBl7', 'SIP(R)',...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>1135941181</td>\n",
       "      <td>165</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>69</td>\n",
       "      <td>76</td>\n",
       "      <td>FC1E(FQ6)_C7_L</td>\n",
       "      <td>FC1E</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>261.0</td>\n",
       "      <td>[33969, 12099, 17040]</td>\n",
       "      <td>{'SNP(R)': {'pre': 8, 'post': 3, 'downstream':...</td>\n",
       "      <td>FB2CRE</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>1135984965</td>\n",
       "      <td>167</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>70</td>\n",
       "      <td>99</td>\n",
       "      <td>FS3(FQ11)_C8_L</td>\n",
       "      <td>FS3</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>296.5</td>\n",
       "      <td>[34394, 11542, 18384]</td>\n",
       "      <td>{'SNP(L)': {'pre': 26, 'post': 19, 'downstream...</td>\n",
       "      <td>FB1d367SMP</td>\n",
       "      <td>['CX', 'FB', 'FBl1', 'FBl2', 'FBl3', 'FBl4', '...</td>\n",
       "      <td>['CX', 'FB', 'FBl1', 'FBl5', 'FBl6', 'FBl7', '...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>1163552692</td>\n",
       "      <td>189</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>60</td>\n",
       "      <td>65</td>\n",
       "      <td>FC1D(FQ6)_C5_L</td>\n",
       "      <td>FC1D</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM02</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[30446, 16025, 10224]</td>\n",
       "      <td>{'SNP(R)': {'pre': 5, 'post': 4, 'downstream':...</td>\n",
       "      <td>FB2CRE</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>1224591253</td>\n",
       "      <td>225</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>76</td>\n",
       "      <td>129</td>\n",
       "      <td>FB3E_R</td>\n",
       "      <td>FB3E</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM07</td>\n",
       "      <td>351.5</td>\n",
       "      <td>[14928, 34734, 22688]</td>\n",
       "      <td>{'SNP(R)': {'pre': 20, 'post': 317, 'downstrea...</td>\n",
       "      <td>SMPLALFB3</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'EB', 'E...</td>\n",
       "      <td>['CX', 'FB', 'FB-column3', 'FBl3', 'FBl4', 'SM...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>1289359184</td>\n",
       "      <td>248</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>76</td>\n",
       "      <td>86</td>\n",
       "      <td>FB4M(PPM3-FB3/4-NO-DAN)_R</td>\n",
       "      <td>FB4M</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVM09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 4, 'post': 697, 'downstream...</td>\n",
       "      <td>CRENO2FB4_2</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>650</th>\n",
       "      <td>299617529</td>\n",
       "      <td>651</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>257</td>\n",
       "      <td>340</td>\n",
       "      <td>299</td>\n",
       "      <td>SMP336_R</td>\n",
       "      <td>SMP336</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM07</td>\n",
       "      <td>269.0</td>\n",
       "      <td>[18945, 21104, 4096]</td>\n",
       "      <td>{'SNP(R)': {'pre': 533, 'post': 1270, 'downstr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(R)', 'INP', 'SCL(R)', 'SIP(R)', 'SLP(R)'...</td>\n",
       "      <td>['ATL(R)', 'INP', 'SCL(R)', 'SIP(R)', 'SMP(R)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>677</th>\n",
       "      <td>328935472</td>\n",
       "      <td>678</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>273</td>\n",
       "      <td>351</td>\n",
       "      <td>312</td>\n",
       "      <td>SMP147_R</td>\n",
       "      <td>SMP147</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADM10</td>\n",
       "      <td>292.5</td>\n",
       "      <td>[14774, 32901, 11712]</td>\n",
       "      <td>{'SNP(R)': {'pre': 52, 'post': 4804, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AOTU(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>328943204</td>\n",
       "      <td>680</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>263</td>\n",
       "      <td>352</td>\n",
       "      <td>313</td>\n",
       "      <td>SMP181(PDL05)_L</td>\n",
       "      <td>SMP181</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 1148, 'post': 1549, 'downst...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>329301762</td>\n",
       "      <td>683</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>257</td>\n",
       "      <td>340</td>\n",
       "      <td>315</td>\n",
       "      <td>SMP408_c_R</td>\n",
       "      <td>SMP408_c</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM09</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[20777, 10232, 16832]</td>\n",
       "      <td>{'SNP(R)': {'pre': 212, 'post': 905, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['SIP(R)', 'SMP(R)', 'SNP(R)']</td>\n",
       "      <td>['SIP(R)', 'SMP(R)', 'SNP(R)']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>329566174</td>\n",
       "      <td>684</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>76</td>\n",
       "      <td>95</td>\n",
       "      <td>OA-VPM3(NO2/NO3)_R</td>\n",
       "      <td>OA-VPM3</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 4288, 'post': 3365, 'downst...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AL(R)', 'AL-VP2(R)', 'ATL(L)', 'ATL(R)', 'AV...</td>\n",
       "      <td>['AL(R)', 'AL-VP2(R)', 'AOTU(R)', 'ATL(L)', 'A...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>330640044</td>\n",
       "      <td>694</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>275</td>\n",
       "      <td>356</td>\n",
       "      <td>320</td>\n",
       "      <td>SMP181_R</td>\n",
       "      <td>SMP181</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDL05</td>\n",
       "      <td>331.0</td>\n",
       "      <td>[8050, 13028, 13696]</td>\n",
       "      <td>{'SNP(L)': {'pre': 883, 'post': 1072, 'downstr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>706</th>\n",
       "      <td>359317340</td>\n",
       "      <td>707</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>257</td>\n",
       "      <td>340</td>\n",
       "      <td>315</td>\n",
       "      <td>SMP408_c_R</td>\n",
       "      <td>SMP408_c</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM09</td>\n",
       "      <td>271.0</td>\n",
       "      <td>[21575, 10715, 16272]</td>\n",
       "      <td>{'SNP(R)': {'pre': 144, 'post': 435, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['SIP(R)', 'SMP(R)', 'SNP(R)']</td>\n",
       "      <td>['SIP(R)', 'SMP(R)', 'SNP(R)']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>711</th>\n",
       "      <td>360310976</td>\n",
       "      <td>712</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>281</td>\n",
       "      <td>364</td>\n",
       "      <td>328</td>\n",
       "      <td>SMP060_R</td>\n",
       "      <td>SMP060</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADM01</td>\n",
       "      <td>344.0</td>\n",
       "      <td>[20938, 27889, 4856]</td>\n",
       "      <td>{'SNP(R)': {'pre': 163, 'post': 1426, 'downstr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['BU(L)', 'CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)',...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>718</th>\n",
       "      <td>361005850</td>\n",
       "      <td>719</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>275</td>\n",
       "      <td>356</td>\n",
       "      <td>320</td>\n",
       "      <td>SMP199_R</td>\n",
       "      <td>SMP199</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDL06</td>\n",
       "      <td>331.0</td>\n",
       "      <td>[8863, 16260, 8712]</td>\n",
       "      <td>{'SNP(R)': {'pre': 878, 'post': 2995, 'downstr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'ICL(R)', 'INP...</td>\n",
       "      <td>['SIP(R)', 'SLP(R)', 'SMP(R)', 'SNP(R)']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740</th>\n",
       "      <td>389311717</td>\n",
       "      <td>741</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>281</td>\n",
       "      <td>364</td>\n",
       "      <td>328</td>\n",
       "      <td>SMP188_R</td>\n",
       "      <td>SMP188</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDL05</td>\n",
       "      <td>276.0</td>\n",
       "      <td>[5415, 13440, 14016]</td>\n",
       "      <td>{'SNP(R)': {'pre': 364, 'post': 2039, 'downstr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'ICL...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>743</th>\n",
       "      <td>390330983</td>\n",
       "      <td>744</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>273</td>\n",
       "      <td>351</td>\n",
       "      <td>312</td>\n",
       "      <td>SMP046_R</td>\n",
       "      <td>SMP046</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADL29</td>\n",
       "      <td>276.5</td>\n",
       "      <td>[3549, 23757, 16640]</td>\n",
       "      <td>{'SNP(R)': {'pre': 245, 'post': 825, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['INP', 'MB(+ACA)(R)', 'PLP(R)', 'SCL(R)', 'SI...</td>\n",
       "      <td>['INP', 'MB(+ACA)(R)', 'PLP(R)', 'SCL(R)', 'SI...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>744</th>\n",
       "      <td>390331214</td>\n",
       "      <td>745</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>273</td>\n",
       "      <td>351</td>\n",
       "      <td>312</td>\n",
       "      <td>PLP121_R</td>\n",
       "      <td>PLP121</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDL24</td>\n",
       "      <td>331.0</td>\n",
       "      <td>[4903, 17346, 5060]</td>\n",
       "      <td>{'SNP(R)': {'pre': 306, 'post': 579, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'ICL(R)', 'INP...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'ICL(R)', 'INP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>752</th>\n",
       "      <td>392389970</td>\n",
       "      <td>753</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>293</td>\n",
       "      <td>389</td>\n",
       "      <td>355</td>\n",
       "      <td>SMP153_R</td>\n",
       "      <td>SMP153</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADM11</td>\n",
       "      <td>351.5</td>\n",
       "      <td>[15913, 34967, 20152]</td>\n",
       "      <td>{'SNP(R)': {'pre': 104, 'post': 1354, 'downstr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AOTU(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'IN...</td>\n",
       "      <td>['AOTU(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'IN...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>760</th>\n",
       "      <td>417221397</td>\n",
       "      <td>761</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>263</td>\n",
       "      <td>352</td>\n",
       "      <td>313</td>\n",
       "      <td>SMP238_R</td>\n",
       "      <td>SMP238</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Traced</td>\n",
       "      <td>PDL11</td>\n",
       "      <td>313.0</td>\n",
       "      <td>[15258, 18362, 6744]</td>\n",
       "      <td>{'SNP(R)': {'pre': 676, 'post': 958, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(R)', 'BU(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(...</td>\n",
       "      <td>['ATL(R)', 'BU(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>855</th>\n",
       "      <td>479260891</td>\n",
       "      <td>856</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>299</td>\n",
       "      <td>436</td>\n",
       "      <td>401</td>\n",
       "      <td>SMP595(SCB059)_R</td>\n",
       "      <td>SMP595</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>305.0</td>\n",
       "      <td>[6913, 19666, 5152]</td>\n",
       "      <td>{'SNP(R)': {'pre': 272, 'post': 2976, 'downstr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AOTU(R)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CR...</td>\n",
       "      <td>['ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'IB'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>519046655</td>\n",
       "      <td>975</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>76</td>\n",
       "      <td>95</td>\n",
       "      <td>FB1H(NO2/3)_L</td>\n",
       "      <td>FB1H</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Traced</td>\n",
       "      <td>ADM01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'pre': 310, 'post': 1580, 'downstr...</td>\n",
       "      <td>CRENO23FB1-4</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'EB', 'EBr2r4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>544158940</td>\n",
       "      <td>995</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>293</td>\n",
       "      <td>389</td>\n",
       "      <td>355</td>\n",
       "      <td>SMP189_R</td>\n",
       "      <td>SMP189</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDL05</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[7556, 11127, 15408]</td>\n",
       "      <td>{'SNP(R)': {'pre': 431, 'post': 1941, 'downstr...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(R)', 'ICL(R)', 'INP', 'MB(+ACA)(R)', 'PL...</td>\n",
       "      <td>['ATL(R)', 'INP', 'MB(+ACA)(R)', 'PLP(R)', 'SC...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1005</th>\n",
       "      <td>545510060</td>\n",
       "      <td>1006</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>257</td>\n",
       "      <td>340</td>\n",
       "      <td>299</td>\n",
       "      <td>PLP122_R</td>\n",
       "      <td>PLP122</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDL24</td>\n",
       "      <td>318.5</td>\n",
       "      <td>[4156, 19199, 4936]</td>\n",
       "      <td>{'SNP(R)': {'pre': 461, 'post': 493, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ICL(R)', 'INP', 'MB(+ACA)(R)', 'PLP(R)', 'SC...</td>\n",
       "      <td>['PLP(R)', 'SIP(R)', 'SLP(R)', 'SMP(R)', 'SNP(...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1172</th>\n",
       "      <td>5812981237</td>\n",
       "      <td>1173</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>299</td>\n",
       "      <td>436</td>\n",
       "      <td>529</td>\n",
       "      <td>SMP240_R</td>\n",
       "      <td>SMP240</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDL11</td>\n",
       "      <td>270.0</td>\n",
       "      <td>[9812, 19091, 4672]</td>\n",
       "      <td>{'SNP(R)': {'pre': 456, 'post': 1016, 'downstr...</td>\n",
       "      <td>C-Sm</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LH(R)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LH(R)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1208</th>\n",
       "      <td>5813009358</td>\n",
       "      <td>1209</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>281</td>\n",
       "      <td>364</td>\n",
       "      <td>328</td>\n",
       "      <td>SMP060(ADM01)_L</td>\n",
       "      <td>SMP060</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(L)': {'pre': 85, 'post': 393, 'downstrea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(L)', 'CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1292</th>\n",
       "      <td>5813022160</td>\n",
       "      <td>1293</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>299</td>\n",
       "      <td>436</td>\n",
       "      <td>529</td>\n",
       "      <td>SMP567_R</td>\n",
       "      <td>SMP567</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL04</td>\n",
       "      <td>335.0</td>\n",
       "      <td>[10419, 11914, 23744]</td>\n",
       "      <td>{'SNP(R)': {'pre': 76, 'post': 583, 'downstrea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1319</th>\n",
       "      <td>5813032709</td>\n",
       "      <td>1320</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>48</td>\n",
       "      <td>561</td>\n",
       "      <td>569</td>\n",
       "      <td>SIP063_R</td>\n",
       "      <td>SIP063</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDL24</td>\n",
       "      <td>288.0</td>\n",
       "      <td>[5028, 21935, 6064]</td>\n",
       "      <td>{'SNP(R)': {'pre': 127, 'post': 251, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AOTU(R)', 'LO(R)', 'OL(R)', 'PLP(R)', 'SIP(R...</td>\n",
       "      <td>['AOTU(R)', 'INP', 'LO(R)', 'OL(R)', 'PLP(R)',...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1377</th>\n",
       "      <td>5813056257</td>\n",
       "      <td>1378</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>48</td>\n",
       "      <td>561</td>\n",
       "      <td>569</td>\n",
       "      <td>SIP062_R</td>\n",
       "      <td>SIP062</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDL24</td>\n",
       "      <td>288.0</td>\n",
       "      <td>[6181, 20010, 6032]</td>\n",
       "      <td>{'SNP(R)': {'pre': 128, 'post': 161, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['AOTU(R)', 'INP', 'LO(R)', 'OL(R)', 'PLP(R)',...</td>\n",
       "      <td>['AOTU(R)', 'LO(R)', 'OL(R)', 'SIP(R)', 'SLP(R...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1379</th>\n",
       "      <td>5813056881</td>\n",
       "      <td>1380</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>281</td>\n",
       "      <td>364</td>\n",
       "      <td>328</td>\n",
       "      <td>SMP374(PDM08)_L</td>\n",
       "      <td>SMP374</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>199.0</td>\n",
       "      <td>[30163, 18589, 7416]</td>\n",
       "      <td>{'SNP(L)': {'pre': 97, 'post': 426, 'downstrea...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(L)', 'CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1409</th>\n",
       "      <td>5813062858</td>\n",
       "      <td>1410</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>76</td>\n",
       "      <td>95</td>\n",
       "      <td>FB1H(NO2/3)_R</td>\n",
       "      <td>FB1H</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Traced</td>\n",
       "      <td>ADM01</td>\n",
       "      <td>340.0</td>\n",
       "      <td>[21411, 31708, 7112]</td>\n",
       "      <td>{'SNP(R)': {'pre': 292, 'post': 2684, 'downstr...</td>\n",
       "      <td>CRENO23FB1-4</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1424</th>\n",
       "      <td>5813068575</td>\n",
       "      <td>1425</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>299</td>\n",
       "      <td>436</td>\n",
       "      <td>529</td>\n",
       "      <td>ATL008(AVL23)_L</td>\n",
       "      <td>ATL008</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 290, 'post': 403, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['ATL(L)', 'ATL(R)', 'IB', 'INP', 'SCL(R)', 'S...</td>\n",
       "      <td>['ATL(L)', 'ATL(R)', 'IB', 'INP', 'SCL(R)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1437</th>\n",
       "      <td>5813075619</td>\n",
       "      <td>1438</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>257</td>\n",
       "      <td>340</td>\n",
       "      <td>315</td>\n",
       "      <td>SLP393_R</td>\n",
       "      <td>SLP393</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM07</td>\n",
       "      <td>275.0</td>\n",
       "      <td>[16999, 24548, 3400]</td>\n",
       "      <td>{'SNP(R)': {'pre': 216, 'post': 646, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['INP', 'SCL(R)', 'SIP(R)', 'SLP(R)', 'SMP(L)'...</td>\n",
       "      <td>['SIP(R)', 'SLP(R)', 'SMP(L)', 'SMP(R)', 'SNP(...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1524</th>\n",
       "      <td>5901196319</td>\n",
       "      <td>1525</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>70</td>\n",
       "      <td>78</td>\n",
       "      <td>SMP563_R</td>\n",
       "      <td>SMP563</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PVL04</td>\n",
       "      <td>365.0</td>\n",
       "      <td>[9553, 11720, 22880]</td>\n",
       "      <td>{'SNP(L)': {'pre': 132, 'post': 112, 'downstre...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['INP', 'PLP(R)', 'SCL(R)', 'SIP(R)', 'SLP(R)'...</td>\n",
       "      <td>['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'IN...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2389</th>\n",
       "      <td>916637896</td>\n",
       "      <td>2390</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>70</td>\n",
       "      <td>99</td>\n",
       "      <td>FS3(FQ11)_C5_R</td>\n",
       "      <td>FS3</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM02</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[20164, 13370, 12240]</td>\n",
       "      <td>{'SNP(L)': {'pre': 25, 'post': 16, 'downstream...</td>\n",
       "      <td>FB1d367SMP</td>\n",
       "      <td>['CX', 'FB', 'FBl1', 'FBl2', 'FBl3', 'FBl4', '...</td>\n",
       "      <td>['CX', 'FB', 'FBl5', 'FBl6', 'FBl7', 'SIP(R)',...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2390</th>\n",
       "      <td>916646779</td>\n",
       "      <td>2391</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>70</td>\n",
       "      <td>78</td>\n",
       "      <td>FS3(FQ11)_C6_R</td>\n",
       "      <td>FS3</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM02</td>\n",
       "      <td>297.5</td>\n",
       "      <td>[22994, 16949, 6904]</td>\n",
       "      <td>{'SNP(L)': {'pre': 28, 'post': 23, 'downstream...</td>\n",
       "      <td>FB1d367SMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...</td>\n",
       "      <td>['CX', 'FB', 'FBl3', 'FBl4', 'FBl6', 'SMP(L)',...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2480</th>\n",
       "      <td>979368408</td>\n",
       "      <td>2481</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>70</td>\n",
       "      <td>99</td>\n",
       "      <td>FS3(FQ11)_C4_R</td>\n",
       "      <td>FS3</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[20038, 13800, 11392]</td>\n",
       "      <td>{'SNP(R)': {'pre': 34, 'post': 24, 'downstream...</td>\n",
       "      <td>FB1d367SMP</td>\n",
       "      <td>['CX', 'FB', 'FB-column3', 'FBl1', 'FBl2', 'FB...</td>\n",
       "      <td>['CX', 'FB', 'FB-column3', 'FBl6', 'FBl7', 'FB...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>43 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id   key  0.0  0.05  0.1  0.5  0.75  1.0  \\\n",
       "95    1066516552    96    3     2    2   19    60   65   \n",
       "112   1072503099   113    3     2    2   19    69   76   \n",
       "114   1072533980   115    3     2    3   10    70   78   \n",
       "132   1100801188   133    3     2    2    5    76   86   \n",
       "154   1132168616   155    3     2    2    5    76   95   \n",
       "156   1132176882   157    3     2    2   19    60   65   \n",
       "162   1135881013   163    3     2    3   10    70   78   \n",
       "164   1135941181   165    3     2    2   19    69   76   \n",
       "166   1135984965   167    3     2    3   10    70   99   \n",
       "188   1163552692   189    3     2    2   19    60   65   \n",
       "224   1224591253   225    3     2    2    5    76  129   \n",
       "247   1289359184   248    3     2    2    5    76   86   \n",
       "650    299617529   651    1     2    3  257   340  299   \n",
       "677    328935472   678    3     2    3  273   351  312   \n",
       "679    328943204   680    3     2    3  263   352  313   \n",
       "682    329301762   683    1     2    3  257   340  315   \n",
       "683    329566174   684    3     2    2    5    76   95   \n",
       "693    330640044   694    3     2    3  275   356  320   \n",
       "706    359317340   707    1     2    3  257   340  315   \n",
       "711    360310976   712    3     2    3  281   364  328   \n",
       "718    361005850   719    3     2    3  275   356  320   \n",
       "740    389311717   741    3     2    3  281   364  328   \n",
       "743    390330983   744    3     2    3  273   351  312   \n",
       "744    390331214   745    3     2    3  273   351  312   \n",
       "752    392389970   753    3     2    3  293   389  355   \n",
       "760    417221397   761    3     2    3  263   352  313   \n",
       "855    479260891   856    1     2    3  299   436  401   \n",
       "974    519046655   975    3     2    2    5    76   95   \n",
       "994    544158940   995    3     2    3  293   389  355   \n",
       "1005   545510060  1006    1     2    3  257   340  299   \n",
       "1172  5812981237  1173    1     2    3  299   436  529   \n",
       "1208  5813009358  1209    3     2    3  281   364  328   \n",
       "1292  5813022160  1293    1     2    3  299   436  529   \n",
       "1319  5813032709  1320    1     2    6   48   561  569   \n",
       "1377  5813056257  1378    1     2    6   48   561  569   \n",
       "1379  5813056881  1380    3     2    3  281   364  328   \n",
       "1409  5813062858  1410    3     2    2    5    76   95   \n",
       "1424  5813068575  1425    1     2    3  299   436  529   \n",
       "1437  5813075619  1438    1     2    3  257   340  315   \n",
       "1524  5901196319  1525    3     2    3   10    70   78   \n",
       "2389   916637896  2390    3     2    3   10    70   99   \n",
       "2390   916646779  2391    3     2    3   10    70   78   \n",
       "2480   979368408  2481    3     2    3   10    70   99   \n",
       "\n",
       "                       instance  celltype  ...  status  cropped  \\\n",
       "95                   PLP042_b_R  PLP042_b  ...  Traced    False   \n",
       "112              FC1E(FQ6)_C6_L      FC1E  ...  Traced    False   \n",
       "114              FS3(FQ11)_C7_L       FS3  ...  Traced    False   \n",
       "132                      FB4D_R      FB4D  ...  Traced    False   \n",
       "154                    FB4Q_b_R    FB4Q_b  ...  Traced    False   \n",
       "156              FC1C(FQ6)_C5_L      FC1C  ...  Traced    False   \n",
       "162              FS3(FQ11)_C1_R       FS3  ...  Traced    False   \n",
       "164              FC1E(FQ6)_C7_L      FC1E  ...  Traced    False   \n",
       "166              FS3(FQ11)_C8_L       FS3  ...  Traced    False   \n",
       "188              FC1D(FQ6)_C5_L      FC1D  ...  Traced    False   \n",
       "224                      FB3E_R      FB3E  ...  Traced    False   \n",
       "247   FB4M(PPM3-FB3/4-NO-DAN)_R      FB4M  ...  Traced    False   \n",
       "650                    SMP336_R    SMP336  ...  Traced    False   \n",
       "677                    SMP147_R    SMP147  ...  Traced    False   \n",
       "679             SMP181(PDL05)_L    SMP181  ...  Traced    False   \n",
       "682                  SMP408_c_R  SMP408_c  ...  Traced    False   \n",
       "683          OA-VPM3(NO2/NO3)_R   OA-VPM3  ...  Traced    False   \n",
       "693                    SMP181_R    SMP181  ...  Traced    False   \n",
       "706                  SMP408_c_R  SMP408_c  ...  Traced    False   \n",
       "711                    SMP060_R    SMP060  ...  Traced    False   \n",
       "718                    SMP199_R    SMP199  ...  Traced    False   \n",
       "740                    SMP188_R    SMP188  ...  Traced    False   \n",
       "743                    SMP046_R    SMP046  ...  Traced    False   \n",
       "744                    PLP121_R    PLP121  ...  Traced    False   \n",
       "752                    SMP153_R    SMP153  ...  Traced    False   \n",
       "760                    SMP238_R    SMP238  ...  Traced    False   \n",
       "855            SMP595(SCB059)_R    SMP595  ...  Traced    False   \n",
       "974               FB1H(NO2/3)_L      FB1H  ...  Traced    False   \n",
       "994                    SMP189_R    SMP189  ...  Traced    False   \n",
       "1005                   PLP122_R    PLP122  ...  Traced    False   \n",
       "1172                   SMP240_R    SMP240  ...  Traced    False   \n",
       "1208            SMP060(ADM01)_L    SMP060  ...  Traced    False   \n",
       "1292                   SMP567_R    SMP567  ...  Traced    False   \n",
       "1319                   SIP063_R    SIP063  ...  Traced    False   \n",
       "1377                   SIP062_R    SIP062  ...  Traced    False   \n",
       "1379            SMP374(PDM08)_L    SMP374  ...  Traced    False   \n",
       "1409              FB1H(NO2/3)_R      FB1H  ...  Traced    False   \n",
       "1424            ATL008(AVL23)_L    ATL008  ...  Traced    False   \n",
       "1437                   SLP393_R    SLP393  ...  Traced    False   \n",
       "1524                   SMP563_R    SMP563  ...  Traced    False   \n",
       "2389             FS3(FQ11)_C5_R       FS3  ...  Traced    False   \n",
       "2390             FS3(FQ11)_C6_R       FS3  ...  Traced    False   \n",
       "2480             FS3(FQ11)_C4_R       FS3  ...  Traced    False   \n",
       "\n",
       "         statusLabel  cellBodyFiber  somaRadius           somaLocation  \\\n",
       "95    Roughly traced          AVL04       291.5    [468, 25475, 20836]   \n",
       "112   Roughly traced          PDM03       299.0   [30426, 15829, 7848]   \n",
       "114   Roughly traced          PDM03       291.0  [34074, 12511, 14512]   \n",
       "132   Roughly traced          AVM08         NaN                    NaN   \n",
       "154   Roughly traced          AVM10       356.5  [12901, 33592, 19672]   \n",
       "156   Roughly traced          PDM02       291.0  [30125, 16760, 11064]   \n",
       "162   Roughly traced          PDM04       266.5   [20123, 9292, 18528]   \n",
       "164   Roughly traced          PDM03       261.0  [33969, 12099, 17040]   \n",
       "166   Roughly traced          PDM04       296.5  [34394, 11542, 18384]   \n",
       "188   Roughly traced          PDM02       301.0  [30446, 16025, 10224]   \n",
       "224   Roughly traced          AVM07       351.5  [14928, 34734, 22688]   \n",
       "247   Roughly traced          PVM09         NaN                    NaN   \n",
       "650   Roughly traced          PDM07       269.0   [18945, 21104, 4096]   \n",
       "677   Roughly traced          ADM10       292.5  [14774, 32901, 11712]   \n",
       "679   Roughly traced            NaN         NaN                    NaN   \n",
       "682   Roughly traced          PDM09       236.0  [20777, 10232, 16832]   \n",
       "683           Traced            NaN         NaN                    NaN   \n",
       "693   Roughly traced          PDL05       331.0   [8050, 13028, 13696]   \n",
       "706   Roughly traced          PDM09       271.0  [21575, 10715, 16272]   \n",
       "711   Roughly traced          ADM01       344.0   [20938, 27889, 4856]   \n",
       "718   Roughly traced          PDL06       331.0    [8863, 16260, 8712]   \n",
       "740   Roughly traced          PDL05       276.0   [5415, 13440, 14016]   \n",
       "743   Roughly traced          ADL29       276.5   [3549, 23757, 16640]   \n",
       "744   Roughly traced          PDL24       331.0    [4903, 17346, 5060]   \n",
       "752   Roughly traced          ADM11       351.5  [15913, 34967, 20152]   \n",
       "760           Traced          PDL11       313.0   [15258, 18362, 6744]   \n",
       "855   Roughly traced            NaN       305.0    [6913, 19666, 5152]   \n",
       "974           Traced          ADM01         NaN                    NaN   \n",
       "994   Roughly traced          PDL05       301.0   [7556, 11127, 15408]   \n",
       "1005  Roughly traced          PDL24       318.5    [4156, 19199, 4936]   \n",
       "1172  Roughly traced          PDL11       270.0    [9812, 19091, 4672]   \n",
       "1208  Roughly traced            NaN         NaN                    NaN   \n",
       "1292  Roughly traced          PVL04       335.0  [10419, 11914, 23744]   \n",
       "1319  Roughly traced          PDL24       288.0    [5028, 21935, 6064]   \n",
       "1377  Roughly traced          PDL24       288.0    [6181, 20010, 6032]   \n",
       "1379  Roughly traced            NaN       199.0   [30163, 18589, 7416]   \n",
       "1409          Traced          ADM01       340.0   [21411, 31708, 7112]   \n",
       "1424  Roughly traced            NaN         NaN                    NaN   \n",
       "1437  Roughly traced          PDM07       275.0   [16999, 24548, 3400]   \n",
       "1524  Roughly traced          PVL04       365.0   [9553, 11720, 22880]   \n",
       "2389  Roughly traced          PDM02       301.0  [20164, 13370, 12240]   \n",
       "2390  Roughly traced          PDM02       297.5   [22994, 16949, 6904]   \n",
       "2480  Roughly traced          PDM03       301.0  [20038, 13800, 11392]   \n",
       "\n",
       "                                                roiInfo         notes  \\\n",
       "95    {'SNP(R)': {'pre': 6, 'post': 32, 'downstream'...          Pl-C   \n",
       "112   {'SNP(R)': {'pre': 11, 'post': 1, 'downstream'...        FB2CRE   \n",
       "114   {'SNP(R)': {'pre': 27, 'post': 24, 'downstream...    FB1d367SMP   \n",
       "132   {'SNP(R)': {'pre': 12, 'post': 204, 'downstrea...   CRESMPFB4_2   \n",
       "154   {'SNP(R)': {'pre': 2, 'post': 267, 'downstream...   CRESMPFB4_5   \n",
       "156   {'SNP(R)': {'pre': 17, 'post': 8, 'downstream'...        FB2CRE   \n",
       "162   {'SNP(L)': {'pre': 22, 'post': 19, 'downstream...    FB1d367SMP   \n",
       "164   {'SNP(R)': {'pre': 8, 'post': 3, 'downstream':...        FB2CRE   \n",
       "166   {'SNP(L)': {'pre': 26, 'post': 19, 'downstream...    FB1d367SMP   \n",
       "188   {'SNP(R)': {'pre': 5, 'post': 4, 'downstream':...        FB2CRE   \n",
       "224   {'SNP(R)': {'pre': 20, 'post': 317, 'downstrea...     SMPLALFB3   \n",
       "247   {'SNP(R)': {'pre': 4, 'post': 697, 'downstream...   CRENO2FB4_2   \n",
       "650   {'SNP(R)': {'pre': 533, 'post': 1270, 'downstr...           NaN   \n",
       "677   {'SNP(R)': {'pre': 52, 'post': 4804, 'downstre...           NaN   \n",
       "679   {'SNP(R)': {'pre': 1148, 'post': 1549, 'downst...           NaN   \n",
       "682   {'SNP(R)': {'pre': 212, 'post': 905, 'downstre...           NaN   \n",
       "683   {'SNP(R)': {'pre': 4288, 'post': 3365, 'downst...           NaN   \n",
       "693   {'SNP(L)': {'pre': 883, 'post': 1072, 'downstr...           NaN   \n",
       "706   {'SNP(R)': {'pre': 144, 'post': 435, 'downstre...           NaN   \n",
       "711   {'SNP(R)': {'pre': 163, 'post': 1426, 'downstr...           NaN   \n",
       "718   {'SNP(R)': {'pre': 878, 'post': 2995, 'downstr...           NaN   \n",
       "740   {'SNP(R)': {'pre': 364, 'post': 2039, 'downstr...           NaN   \n",
       "743   {'SNP(R)': {'pre': 245, 'post': 825, 'downstre...           NaN   \n",
       "744   {'SNP(R)': {'pre': 306, 'post': 579, 'downstre...           NaN   \n",
       "752   {'SNP(R)': {'pre': 104, 'post': 1354, 'downstr...           NaN   \n",
       "760   {'SNP(R)': {'pre': 676, 'post': 958, 'downstre...           NaN   \n",
       "855   {'SNP(R)': {'pre': 272, 'post': 2976, 'downstr...           NaN   \n",
       "974   {'SNP(L)': {'pre': 310, 'post': 1580, 'downstr...  CRENO23FB1-4   \n",
       "994   {'SNP(R)': {'pre': 431, 'post': 1941, 'downstr...           NaN   \n",
       "1005  {'SNP(R)': {'pre': 461, 'post': 493, 'downstre...           NaN   \n",
       "1172  {'SNP(R)': {'pre': 456, 'post': 1016, 'downstr...          C-Sm   \n",
       "1208  {'SNP(L)': {'pre': 85, 'post': 393, 'downstrea...           NaN   \n",
       "1292  {'SNP(R)': {'pre': 76, 'post': 583, 'downstrea...           NaN   \n",
       "1319  {'SNP(R)': {'pre': 127, 'post': 251, 'downstre...           NaN   \n",
       "1377  {'SNP(R)': {'pre': 128, 'post': 161, 'downstre...           NaN   \n",
       "1379  {'SNP(L)': {'pre': 97, 'post': 426, 'downstrea...           NaN   \n",
       "1409  {'SNP(R)': {'pre': 292, 'post': 2684, 'downstr...  CRENO23FB1-4   \n",
       "1424  {'SNP(R)': {'pre': 290, 'post': 403, 'downstre...           NaN   \n",
       "1437  {'SNP(R)': {'pre': 216, 'post': 646, 'downstre...           NaN   \n",
       "1524  {'SNP(L)': {'pre': 132, 'post': 112, 'downstre...           NaN   \n",
       "2389  {'SNP(L)': {'pre': 25, 'post': 16, 'downstream...    FB1d367SMP   \n",
       "2390  {'SNP(L)': {'pre': 28, 'post': 23, 'downstream...    FB1d367SMP   \n",
       "2480  {'SNP(R)': {'pre': 34, 'post': 24, 'downstream...    FB1d367SMP   \n",
       "\n",
       "                                              inputRois  \\\n",
       "95    ['AOT(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP...   \n",
       "112   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "114   ['CX', 'FB', 'FBl1', 'FBl2', 'FBl3', 'FBl4', '...   \n",
       "132   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "154   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "156   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "162   ['CX', 'FB', 'FBl1', 'FBl2', 'FBl3', 'FBl4', '...   \n",
       "164   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "166   ['CX', 'FB', 'FBl1', 'FBl2', 'FBl3', 'FBl4', '...   \n",
       "188   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "224   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'EB', 'E...   \n",
       "247   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "650   ['ATL(R)', 'INP', 'SCL(R)', 'SIP(R)', 'SLP(R)'...   \n",
       "677   ['AOTU(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)...   \n",
       "679   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "682                      ['SIP(R)', 'SMP(R)', 'SNP(R)']   \n",
       "683   ['AL(R)', 'AL-VP2(R)', 'ATL(L)', 'ATL(R)', 'AV...   \n",
       "693   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "706                      ['SIP(R)', 'SMP(R)', 'SNP(R)']   \n",
       "711   ['BU(L)', 'CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)',...   \n",
       "718   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'ICL(R)', 'INP...   \n",
       "740   ['ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'ICL...   \n",
       "743   ['INP', 'MB(+ACA)(R)', 'PLP(R)', 'SCL(R)', 'SI...   \n",
       "744   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'ICL(R)', 'INP...   \n",
       "752   ['AOTU(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'IN...   \n",
       "760   ['ATL(R)', 'BU(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(...   \n",
       "855   ['AOTU(R)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CR...   \n",
       "974   ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...   \n",
       "994   ['ATL(R)', 'ICL(R)', 'INP', 'MB(+ACA)(R)', 'PL...   \n",
       "1005  ['ICL(R)', 'INP', 'MB(+ACA)(R)', 'PLP(R)', 'SC...   \n",
       "1172  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LH(R)'...   \n",
       "1208  ['ATL(L)', 'CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)'...   \n",
       "1292  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...   \n",
       "1319  ['AOTU(R)', 'LO(R)', 'OL(R)', 'PLP(R)', 'SIP(R...   \n",
       "1377  ['AOTU(R)', 'INP', 'LO(R)', 'OL(R)', 'PLP(R)',...   \n",
       "1379  ['ATL(L)', 'CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)'...   \n",
       "1409  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "1424  ['ATL(L)', 'ATL(R)', 'IB', 'INP', 'SCL(R)', 'S...   \n",
       "1437  ['INP', 'SCL(R)', 'SIP(R)', 'SLP(R)', 'SMP(L)'...   \n",
       "1524  ['INP', 'PLP(R)', 'SCL(R)', 'SIP(R)', 'SLP(R)'...   \n",
       "2389  ['CX', 'FB', 'FBl1', 'FBl2', 'FBl3', 'FBl4', '...   \n",
       "2390  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...   \n",
       "2480  ['CX', 'FB', 'FB-column3', 'FBl1', 'FBl2', 'FB...   \n",
       "\n",
       "                                             outputRois  \n",
       "95    ['AOT(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP...  \n",
       "112   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "114   ['CX', 'FB', 'FBl3', 'FBl4', 'FBl6', 'FBl7', '...  \n",
       "132   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "154   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "156   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "162   ['CX', 'FB', 'FBl1', 'FBl5', 'FBl7', 'SIP(R)',...  \n",
       "164   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "166   ['CX', 'FB', 'FBl1', 'FBl5', 'FBl6', 'FBl7', '...  \n",
       "188   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "224   ['CX', 'FB', 'FB-column3', 'FBl3', 'FBl4', 'SM...  \n",
       "247   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "650   ['ATL(R)', 'INP', 'SCL(R)', 'SIP(R)', 'SMP(R)'...  \n",
       "677   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "679   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "682                      ['SIP(R)', 'SMP(R)', 'SNP(R)']  \n",
       "683   ['AL(R)', 'AL-VP2(R)', 'AOTU(R)', 'ATL(L)', 'A...  \n",
       "693   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "706                      ['SIP(R)', 'SMP(R)', 'SNP(R)']  \n",
       "711   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "718            ['SIP(R)', 'SLP(R)', 'SMP(R)', 'SNP(R)']  \n",
       "740   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...  \n",
       "743   ['INP', 'MB(+ACA)(R)', 'PLP(R)', 'SCL(R)', 'SI...  \n",
       "744   ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'ICL(R)', 'INP...  \n",
       "752   ['AOTU(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'IN...  \n",
       "760   ['ATL(R)', 'BU(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(...  \n",
       "855   ['ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'IB'...  \n",
       "974   ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'EB', 'EBr2r4...  \n",
       "994   ['ATL(R)', 'INP', 'MB(+ACA)(R)', 'PLP(R)', 'SC...  \n",
       "1005  ['PLP(R)', 'SIP(R)', 'SLP(R)', 'SMP(R)', 'SNP(...  \n",
       "1172  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LH(R)'...  \n",
       "1208  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "1292  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'INP', 'LAL(-G...  \n",
       "1319  ['AOTU(R)', 'INP', 'LO(R)', 'OL(R)', 'PLP(R)',...  \n",
       "1377  ['AOTU(R)', 'LO(R)', 'OL(R)', 'SIP(R)', 'SLP(R...  \n",
       "1379  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "1409  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "1424  ['ATL(L)', 'ATL(R)', 'IB', 'INP', 'SCL(R)', 'S...  \n",
       "1437  ['SIP(R)', 'SLP(R)', 'SMP(L)', 'SMP(R)', 'SNP(...  \n",
       "1524  ['AVLP(R)', 'CRE(-ROB,-RUB)(R)', 'CRE(R)', 'IN...  \n",
       "2389  ['CX', 'FB', 'FBl5', 'FBl6', 'FBl7', 'SIP(R)',...  \n",
       "2390  ['CX', 'FB', 'FBl3', 'FBl4', 'FBl6', 'SMP(L)',...  \n",
       "2480  ['CX', 'FB', 'FB-column3', 'FBl6', 'FBl7', 'FB...  \n",
       "\n",
       "[43 rows x 26 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ride_or_die_df[ride_or_die_df['0.05']==2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# the max res to use\n",
    "max_res = '1.0'\n",
    "\n",
    "# the df to use since we don't need body ids\n",
    "test = pretest[['0.0','0.05','0.1','0.5','0.75','1.0']].copy()\n",
    "\n",
    "# get a list of module ids\n",
    "module_ids = test[max_res].unique().tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1008024276</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>FB5N_R</td>\n",
       "      <td>FB5N</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM08</td>\n",
       "      <td>472.5</td>\n",
       "      <td>[19178, 29711, 37312]</td>\n",
       "      <td>{'SNP(L)': {'post': 5, 'upstream': 5, 'mito': ...</td>\n",
       "      <td>SMPCREFB5_4</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1008369339</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>FS1B(FQ9)_C6_R</td>\n",
       "      <td>FS1B</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM02</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[22606, 16349, 10032]</td>\n",
       "      <td>{'SNP(L)': {'pre': 43, 'post': 24, 'downstream...</td>\n",
       "      <td>FB25SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1008391068</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>FC2B(FQ7)_C6_L</td>\n",
       "      <td>FC2B</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>325.5</td>\n",
       "      <td>[29681, 16321, 7328]</td>\n",
       "      <td>{'CX': {'pre': 167, 'post': 2135, 'downstream'...</td>\n",
       "      <td>FB1d356CRE</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1008693605</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>FC2C(FQ7)_C7_L</td>\n",
       "      <td>FC2C</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[32830, 14210, 12336]</td>\n",
       "      <td>{'CX': {'pre': 91, 'post': 1051, 'downstream':...</td>\n",
       "      <td>FB1d367CRE</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1009371535</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>FC2B(FQ7)_C3_L</td>\n",
       "      <td>FC2B</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>277.5</td>\n",
       "      <td>[28298, 18341, 7600]</td>\n",
       "      <td>{'CX': {'pre': 130, 'post': 2051, 'downstream'...</td>\n",
       "      <td>FB1d356CRE</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2490</th>\n",
       "      <td>983426636</td>\n",
       "      <td>2491</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>77</td>\n",
       "      <td>FS1A(FQ9)_C6_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>271.0</td>\n",
       "      <td>[30775, 16354, 10640]</td>\n",
       "      <td>{'SNP(L)': {'pre': 19, 'post': 14, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2491</th>\n",
       "      <td>983430664</td>\n",
       "      <td>2492</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C3_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[16993, 11130, 15072]</td>\n",
       "      <td>{'SNP(R)': {'pre': 37, 'post': 32, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2495</th>\n",
       "      <td>983767602</td>\n",
       "      <td>2496</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1B(FQ9)_C2_L</td>\n",
       "      <td>FS1B</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[27031, 16664, 12416]</td>\n",
       "      <td>{'SNP(R)': {'pre': 62, 'post': 30, 'downstream...</td>\n",
       "      <td>FB25SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2503</th>\n",
       "      <td>986098785</td>\n",
       "      <td>2504</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>427</td>\n",
       "      <td>644</td>\n",
       "      <td>676</td>\n",
       "      <td>AOTU008_a_R</td>\n",
       "      <td>AOTU008_a</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADL08</td>\n",
       "      <td>258.5</td>\n",
       "      <td>[10014, 33018, 17344]</td>\n",
       "      <td>{'SNP(R)': {'pre': 111, 'post': 179, 'downstre...</td>\n",
       "      <td>aSP11b candidates</td>\n",
       "      <td>['AOTU(R)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CR...</td>\n",
       "      <td>['AOTU(R)', 'ATL(R)', 'IB', 'INP', 'MB(+ACA)(R...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2505</th>\n",
       "      <td>987117151</td>\n",
       "      <td>2506</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>53</td>\n",
       "      <td>63</td>\n",
       "      <td>68</td>\n",
       "      <td>LAL010_R</td>\n",
       "      <td>LAL010</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>ADM03</td>\n",
       "      <td>292.5</td>\n",
       "      <td>[15520, 32234, 10016]</td>\n",
       "      <td>{'SNP(R)': {'pre': 2, 'post': 82, 'downstream'...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>476 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id   key  0.0  0.05  0.1  0.5  0.75  1.0        instance  \\\n",
       "4     1008024276     5    3     2    2    5     5    5          FB5N_R   \n",
       "7     1008369339     8    3     2    2    5     5    8  FS1B(FQ9)_C6_R   \n",
       "8     1008391068     9    3     2    2    5     5    5  FC2B(FQ7)_C6_L   \n",
       "9     1008693605    10    3     2    2    5     5    9  FC2C(FQ7)_C7_L   \n",
       "12    1009371535    13    3     2    2    5     5   10  FC2B(FQ7)_C3_L   \n",
       "...          ...   ...  ...   ...  ...  ...   ...  ...             ...   \n",
       "2490   983426636  2491    3     2    2    5     5   77  FS1A(FQ9)_C6_L   \n",
       "2491   983430664  2492    3     2    2    5     5   20  FS1A(FQ9)_C3_R   \n",
       "2495   983767602  2496    3     2    2    5     5   20  FS1B(FQ9)_C2_L   \n",
       "2503   986098785  2504    2     1    6  427   644  676     AOTU008_a_R   \n",
       "2505   987117151  2506    2     7    7   53    63   68        LAL010_R   \n",
       "\n",
       "       celltype  ...  status  cropped     statusLabel  cellBodyFiber  \\\n",
       "4          FB5N  ...  Traced    False  Roughly traced          AVM08   \n",
       "7          FS1B  ...  Traced    False  Roughly traced          PDM02   \n",
       "8          FC2B  ...  Traced    False  Roughly traced          PDM03   \n",
       "9          FC2C  ...  Traced    False  Roughly traced          PDM03   \n",
       "12         FC2B  ...  Traced    False  Roughly traced          PDM01   \n",
       "...         ...  ...     ...      ...             ...            ...   \n",
       "2490       FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "2491       FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "2495       FS1B  ...  Traced    False  Roughly traced          PDM01   \n",
       "2503  AOTU008_a  ...  Traced    False  Roughly traced          ADL08   \n",
       "2505     LAL010  ...  Traced    False  Roughly traced          ADM03   \n",
       "\n",
       "      somaRadius           somaLocation  \\\n",
       "4          472.5  [19178, 29711, 37312]   \n",
       "7          301.0  [22606, 16349, 10032]   \n",
       "8          325.5   [29681, 16321, 7328]   \n",
       "9          291.0  [32830, 14210, 12336]   \n",
       "12         277.5   [28298, 18341, 7600]   \n",
       "...          ...                    ...   \n",
       "2490       271.0  [30775, 16354, 10640]   \n",
       "2491       236.0  [16993, 11130, 15072]   \n",
       "2495       301.0  [27031, 16664, 12416]   \n",
       "2503       258.5  [10014, 33018, 17344]   \n",
       "2505       292.5  [15520, 32234, 10016]   \n",
       "\n",
       "                                                roiInfo              notes  \\\n",
       "4     {'SNP(L)': {'post': 5, 'upstream': 5, 'mito': ...        SMPCREFB5_4   \n",
       "7     {'SNP(L)': {'pre': 43, 'post': 24, 'downstream...         FB25SMPSMP   \n",
       "8     {'CX': {'pre': 167, 'post': 2135, 'downstream'...         FB1d356CRE   \n",
       "9     {'CX': {'pre': 91, 'post': 1051, 'downstream':...         FB1d367CRE   \n",
       "12    {'CX': {'pre': 130, 'post': 2051, 'downstream'...         FB1d356CRE   \n",
       "...                                                 ...                ...   \n",
       "2490  {'SNP(L)': {'pre': 19, 'post': 14, 'downstream...        FB2-6SMPSMP   \n",
       "2491  {'SNP(R)': {'pre': 37, 'post': 32, 'downstream...        FB2-6SMPSMP   \n",
       "2495  {'SNP(R)': {'pre': 62, 'post': 30, 'downstream...         FB25SMPSMP   \n",
       "2503  {'SNP(R)': {'pre': 111, 'post': 179, 'downstre...  aSP11b candidates   \n",
       "2505  {'SNP(R)': {'pre': 2, 'post': 82, 'downstream'...                NaN   \n",
       "\n",
       "                                              inputRois  \\\n",
       "4     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "7     ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...   \n",
       "8     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "9     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "12    ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "...                                                 ...   \n",
       "2490  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2491  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2495  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2503  ['AOTU(R)', 'ATL(R)', 'CRE(-ROB,-RUB)(R)', 'CR...   \n",
       "2505  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...   \n",
       "\n",
       "                                             outputRois  \n",
       "4     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "7     ['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...  \n",
       "8     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "9     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "12    ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "...                                                 ...  \n",
       "2490  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2491  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2495  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2503  ['AOTU(R)', 'ATL(R)', 'IB', 'INP', 'MB(+ACA)(R...  \n",
       "2505  ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'EPA(R)', 'INP...  \n",
       "\n",
       "[476 rows x 26 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create an empty list to store the module ids of the riders\n",
    "ride_or_die_modules = []\n",
    "\n",
    "for i in module_ids:\n",
    "    # grab the rows that have the module id\n",
    "    test_mod = test[test[max_res]==i]\n",
    "\n",
    "    # first test whether there is more than one row since singletons won't count\n",
    "    if test_mod.shape[0] > 1:\n",
    "\n",
    "        # tests for number of unique rows\n",
    "        if test_mod.drop_duplicates().shape[0] == 1:\n",
    "            # if all rows are duplicates of each other, then append the module id to the list\n",
    "            ride_or_die_modules.append(i)\n",
    "\n",
    "# retrieve the rows of the original dataframe that have ride or die modules\n",
    "ride_or_die_df = pretest[pretest[max_res].isin(ride_or_die_modules)]\n",
    "ride_or_die_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "link": {
          "source": [
           2,
           2,
           2,
           1,
           1,
           1,
           1,
           0,
           0,
           0,
           4,
           3,
           3,
           10,
           10,
           12,
           8,
           8,
           8,
           5,
           5,
           5,
           6,
           6,
           11,
           7,
           7,
           7,
           9,
           9,
           9,
           16,
           25,
           25,
           25,
           25,
           25,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           24,
           17,
           17,
           17,
           17,
           17,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           23,
           22,
           19,
           13,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           14,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           15,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           21,
           26,
           18,
           18,
           18,
           18,
           18,
           18,
           18,
           18,
           18,
           18,
           18,
           18,
           18,
           18,
           18,
           18,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           20,
           48,
           94,
           49,
           57,
           50,
           50,
           51,
           29,
           29,
           89,
           54,
           55,
           56,
           111,
           30,
           30,
           30,
           58,
           92,
           31,
           52,
           52,
           53,
           62,
           59,
           59,
           59,
           60,
           86,
           86,
           83,
           71,
           71,
           71,
           61,
           61,
           61,
           79,
           63,
           76,
           68,
           64,
           87,
           65,
           66,
           66,
           82,
           67,
           69,
           84,
           109,
           70,
           72,
           73,
           74,
           75,
           77,
           78,
           95,
           99,
           80,
           32,
           81,
           85,
           88,
           102,
           110,
           90,
           90,
           91,
           105,
           101,
           93,
           96,
           33,
           97,
           98,
           117,
           103,
           104,
           106,
           107,
           108,
           114,
           112,
           43,
           116,
           115,
           118,
           100,
           100,
           119,
           120,
           121,
           34,
           35,
           36,
           113,
           37,
           27,
           27,
           38,
           40,
           39,
           41,
           42,
           44,
           45,
           45,
           46,
           47,
           28,
           142,
           143,
           124,
           124,
           124,
           144,
           145,
           204,
           146,
           147,
           157,
           148,
           149,
           188,
           151,
           197,
           197,
           125,
           152,
           153,
           154,
           126,
           155,
           156,
           150,
           150,
           158,
           129,
           159,
           160,
           190,
           161,
           162,
           163,
           164,
           165,
           180,
           180,
           184,
           209,
           166,
           166,
           183,
           183,
           167,
           210,
           195,
           168,
           169,
           170,
           171,
           172,
           220,
           127,
           173,
           174,
           175,
           176,
           177,
           178,
           179,
           181,
           187,
           187,
           182,
           128,
           185,
           186,
           205,
           189,
           191,
           192,
           193,
           196,
           194,
           198,
           199,
           200,
           201,
           202,
           203,
           206,
           207,
           208,
           228,
           211,
           212,
           213,
           214,
           215,
           216,
           232,
           122,
           122,
           122,
           122,
           122,
           122,
           122,
           122,
           122,
           122,
           122,
           122,
           122,
           122,
           122,
           122,
           122,
           122,
           122,
           217,
           218,
           219,
           130,
           225,
           131,
           221,
           132,
           222,
           223,
           224,
           226,
           227,
           136,
           133,
           133,
           134,
           229,
           230,
           231,
           233,
           135,
           135,
           135,
           137,
           137,
           138,
           139,
           140,
           141,
           141,
           141,
           123
          ],
          "target": [
           10,
           8,
           5,
           8,
           6,
           7,
           9,
           5,
           6,
           9,
           12,
           10,
           11,
           24,
           21,
           25,
           17,
           22,
           21,
           13,
           14,
           21,
           15,
           18,
           23,
           16,
           19,
           18,
           23,
           26,
           20,
           32,
           87,
           84,
           88,
           104,
           107,
           71,
           76,
           64,
           65,
           109,
           78,
           105,
           114,
           33,
           37,
           39,
           45,
           46,
           62,
           59,
           83,
           61,
           79,
           66,
           72,
           75,
           90,
           57,
           49,
           27,
           29,
           63,
           68,
           67,
           69,
           70,
           74,
           95,
           28,
           89,
           54,
           30,
           31,
           99,
           80,
           101,
           96,
           97,
           108,
           41,
           44,
           56,
           111,
           58,
           92,
           60,
           86,
           77,
           102,
           110,
           98,
           103,
           106,
           112,
           115,
           100,
           113,
           120,
           48,
           94,
           50,
           55,
           52,
           53,
           43,
           118,
           121,
           34,
           35,
           36,
           38,
           40,
           42,
           47,
           51,
           82,
           73,
           81,
           85,
           91,
           93,
           117,
           116,
           119,
           146,
           204,
           147,
           157,
           148,
           155,
           149,
           124,
           133,
           197,
           152,
           153,
           156,
           222,
           125,
           129,
           199,
           158,
           202,
           126,
           150,
           229,
           151,
           162,
           159,
           165,
           173,
           160,
           193,
           194,
           190,
           183,
           175,
           187,
           161,
           163,
           164,
           184,
           166,
           180,
           171,
           167,
           195,
           168,
           169,
           185,
           189,
           170,
           172,
           191,
           220,
           174,
           176,
           177,
           178,
           179,
           181,
           182,
           205,
           209,
           186,
           127,
           188,
           192,
           196,
           213,
           221,
           198,
           201,
           200,
           216,
           212,
           203,
           206,
           128,
           207,
           208,
           228,
           214,
           215,
           217,
           218,
           219,
           225,
           223,
           141,
           227,
           226,
           230,
           210,
           211,
           231,
           232,
           233,
           130,
           131,
           132,
           224,
           134,
           122,
           137,
           135,
           138,
           136,
           139,
           140,
           142,
           143,
           154,
           144,
           145,
           123,
           273,
           274,
           239,
           249,
           260,
           276,
           277,
           343,
           279,
           280,
           293,
           282,
           283,
           326,
           285,
           335,
           356,
           240,
           287,
           288,
           289,
           241,
           290,
           291,
           284,
           350,
           294,
           253,
           295,
           296,
           328,
           297,
           298,
           299,
           300,
           301,
           319,
           317,
           322,
           348,
           302,
           308,
           321,
           336,
           303,
           349,
           333,
           304,
           305,
           306,
           307,
           309,
           362,
           246,
           310,
           311,
           312,
           313,
           314,
           315,
           316,
           318,
           325,
           358,
           320,
           250,
           323,
           324,
           344,
           327,
           329,
           330,
           331,
           334,
           332,
           337,
           338,
           339,
           340,
           341,
           342,
           345,
           346,
           347,
           370,
           351,
           352,
           353,
           354,
           355,
           357,
           374,
           237,
           278,
           281,
           242,
           243,
           244,
           245,
           247,
           248,
           251,
           252,
           234,
           257,
           258,
           376,
           377,
           262,
           235,
           236,
           359,
           360,
           361,
           254,
           367,
           255,
           363,
           256,
           364,
           365,
           366,
           368,
           369,
           264,
           259,
           269,
           261,
           371,
           372,
           373,
           375,
           271,
           286,
           263,
           265,
           268,
           266,
           267,
           270,
           272,
           275,
           292,
           238
          ],
          "value": [
           81,
           11,
           10,
           22,
           39,
           71,
           2,
           150,
           2,
           30,
           12,
           2,
           44,
           58,
           25,
           12,
           13,
           2,
           18,
           119,
           39,
           2,
           37,
           4,
           44,
           2,
           2,
           67,
           2,
           2,
           28,
           2,
           4,
           2,
           2,
           2,
           2,
           20,
           22,
           3,
           2,
           5,
           2,
           2,
           2,
           2,
           2,
           2,
           5,
           2,
           2,
           7,
           3,
           12,
           3,
           9,
           2,
           3,
           5,
           2,
           2,
           119,
           14,
           5,
           2,
           3,
           2,
           4,
           2,
           3,
           4,
           4,
           2,
           7,
           3,
           2,
           3,
           2,
           2,
           3,
           4,
           3,
           2,
           2,
           3,
           2,
           2,
           2,
           8,
           4,
           2,
           2,
           2,
           2,
           2,
           2,
           3,
           5,
           2,
           2,
           2,
           3,
           4,
           2,
           14,
           2,
           10,
           2,
           2,
           2,
           2,
           4,
           7,
           2,
           4,
           9,
           2,
           3,
           5,
           2,
           5,
           2,
           2,
           3,
           2,
           2,
           2,
           3,
           2,
           2,
           2,
           2,
           2,
           7,
           7,
           4,
           2,
           2,
           2,
           3,
           2,
           2,
           3,
           2,
           2,
           3,
           11,
           3,
           2,
           2,
           2,
           2,
           3,
           2,
           4,
           4,
           3,
           5,
           4,
           11,
           5,
           4,
           3,
           3,
           5,
           22,
           2,
           3,
           4,
           2,
           3,
           6,
           3,
           3,
           2,
           2,
           5,
           4,
           2,
           5,
           2,
           3,
           4,
           2,
           3,
           2,
           3,
           2,
           2,
           5,
           2,
           2,
           2,
           3,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           3,
           2,
           3,
           2,
           2,
           2,
           2,
           4,
           2,
           2,
           10,
           2,
           3,
           2,
           3,
           2,
           2,
           2,
           2,
           2,
           2,
           4,
           2,
           2,
           113,
           6,
           7,
           2,
           2,
           3,
           4,
           2,
           2,
           3,
           2,
           9,
           4,
           2,
           2,
           2,
           3,
           2,
           2,
           9,
           3,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           3,
           3,
           2,
           2,
           8,
           3,
           2,
           2,
           2,
           2,
           3,
           5,
           2,
           4,
           3,
           2,
           9,
           13,
           3,
           2,
           2,
           3,
           3,
           2,
           3,
           3,
           4,
           2,
           3,
           3,
           2,
           2,
           5,
           2,
           3,
           4,
           4,
           2,
           5,
           2,
           3,
           4,
           9,
           2,
           2,
           2,
           6,
           3,
           3,
           3,
           2,
           5,
           4,
           2,
           4,
           3,
           3,
           2,
           2,
           2,
           2,
           2,
           3,
           2,
           3,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           2,
           28,
           2,
           3,
           2,
           2,
           3,
           3,
           8,
           18,
           5,
           10,
           4,
           2,
           3,
           6,
           8,
           2,
           2,
           4,
           2,
           2,
           2,
           2,
           4,
           3,
           2,
           2,
           3,
           2,
           2,
           4,
           3,
           2,
           3,
           2,
           2,
           2,
           2,
           3,
           2,
           2,
           4,
           2,
           3,
           4,
           2,
           2,
           6,
           4
          ]
         },
         "node": {
          "label": [
           "3_r0.0",
           "2_r0.0",
           "1_r0.0",
           "5_r0.0",
           "4_r0.0",
           "2_r0.05",
           "3_r0.05",
           "7_r0.05",
           "1_r0.05",
           "8_r0.05",
           "13_r0.05",
           "5_r0.05",
           "15_r0.05",
           "2_r0.1",
           "3_r0.1",
           "4_r0.1",
           "10_r0.1",
           "1_r0.1",
           "7_r0.1",
           "22_r0.1",
           "8_r0.1",
           "6_r0.1",
           "21_r0.1",
           "20_r0.1",
           "15_r0.1",
           "11_r0.1",
           "75_r0.1",
           "5_r0.5",
           "9_r0.5",
           "10_r0.5",
           "16_r0.5",
           "18_r0.5",
           "31_r0.5",
           "37_r0.5",
           "51_r0.5",
           "52_r0.5",
           "53_r0.5",
           "59_r0.5",
           "61_r0.5",
           "6_r0.5",
           "66_r0.5",
           "71_r0.5",
           "76_r0.5",
           "42_r0.5",
           "81_r0.5",
           "82_r0.5",
           "8_r0.5",
           "95_r0.5",
           "100_r0.5",
           "102_r0.5",
           "107_r0.5",
           "108_r0.5",
           "20_r0.5",
           "21_r0.5",
           "132_r0.5",
           "134_r0.5",
           "148_r0.5",
           "103_r0.5",
           "172_r0.5",
           "241_r0.5",
           "245_r0.5",
           "249_r0.5",
           "240_r0.5",
           "257_r0.5",
           "266_r0.5",
           "270_r0.5",
           "271_r0.5",
           "273_r0.5",
           "263_r0.5",
           "275_r0.5",
           "281_r0.5",
           "248_r0.5",
           "284_r0.5",
           "292_r0.5",
           "293_r0.5",
           "294_r0.5",
           "262_r0.5",
           "295_r0.5",
           "297_r0.5",
           "256_r0.5",
           "318_r0.5",
           "321_r0.5",
           "272_r0.5",
           "247_r0.5",
           "276_r0.5",
           "327_r0.5",
           "246_r0.5",
           "269_r0.5",
           "334_r0.5",
           "124_r0.5",
           "341_r0.5",
           "364_r0.5",
           "178_r0.5",
           "370_r0.5",
           "101_r0.5",
           "299_r0.5",
           "378_r0.5",
           "383_r0.5",
           "387_r0.5",
           "29_r0.5",
           "48_r0.5",
           "36_r0.5",
           "338_r0.5",
           "396_r0.5",
           "397_r0.5",
           "369_r0.5",
           "410_r0.5",
           "411_r0.5",
           "414_r0.5",
           "277_r0.5",
           "33_r0.5",
           "15_r0.5",
           "427_r0.5",
           "56_r0.5",
           "417_r0.5",
           "449_r0.5",
           "447_r0.5",
           "388_r0.5",
           "485_r0.5",
           "493_r0.5",
           "499_r0.5",
           "500_r0.5",
           "5_r0.75",
           "9_r0.75",
           "10_r0.75",
           "16_r0.75",
           "18_r0.75",
           "35_r0.75",
           "41_r0.75",
           "27_r0.75",
           "61_r0.75",
           "62_r0.75",
           "63_r0.75",
           "70_r0.75",
           "71_r0.75",
           "74_r0.75",
           "6_r0.75",
           "76_r0.75",
           "80_r0.75",
           "87_r0.75",
           "93_r0.75",
           "97_r0.75",
           "101_r0.75",
           "102_r0.75",
           "115_r0.75",
           "119_r0.75",
           "128_r0.75",
           "130_r0.75",
           "136_r0.75",
           "137_r0.75",
           "21_r0.75",
           "162_r0.75",
           "174_r0.75",
           "176_r0.75",
           "181_r0.75",
           "191_r0.75",
           "195_r0.75",
           "131_r0.75",
           "224_r0.75",
           "301_r0.75",
           "306_r0.75",
           "312_r0.75",
           "319_r0.75",
           "320_r0.75",
           "327_r0.75",
           "328_r0.75",
           "340_r0.75",
           "345_r0.75",
           "349_r0.75",
           "350_r0.75",
           "351_r0.75",
           "352_r0.75",
           "356_r0.75",
           "362_r0.75",
           "364_r0.75",
           "367_r0.75",
           "371_r0.75",
           "388_r0.75",
           "389_r0.75",
           "391_r0.75",
           "337_r0.75",
           "394_r0.75",
           "399_r0.75",
           "342_r0.75",
           "339_r0.75",
           "425_r0.75",
           "435_r0.75",
           "397_r0.75",
           "143_r0.75",
           "440_r0.75",
           "310_r0.75",
           "443_r0.75",
           "445_r0.75",
           "450_r0.75",
           "468_r0.75",
           "347_r0.75",
           "457_r0.75",
           "166_r0.75",
           "495_r0.75",
           "501_r0.75",
           "504_r0.75",
           "512_r0.75",
           "515_r0.75",
           "516_r0.75",
           "123_r0.75",
           "436_r0.75",
           "532_r0.75",
           "541_r0.75",
           "548_r0.75",
           "33_r0.75",
           "346_r0.75",
           "561_r0.75",
           "568_r0.75",
           "572_r0.75",
           "578_r0.75",
           "583_r0.75",
           "595_r0.75",
           "609_r0.75",
           "612_r0.75",
           "619_r0.75",
           "359_r0.75",
           "633_r0.75",
           "643_r0.75",
           "644_r0.75",
           "66_r0.75",
           "626_r0.75",
           "680_r0.75",
           "696_r0.75",
           "549_r0.75",
           "724_r0.75",
           "731_r0.75",
           "732_r0.75",
           "596_r0.75",
           "737_r0.75",
           "5_r1.0",
           "8_r1.0",
           "9_r1.0",
           "10_r1.0",
           "11_r1.0",
           "12_r1.0",
           "17_r1.0",
           "18_r1.0",
           "20_r1.0",
           "22_r1.0",
           "23_r1.0",
           "24_r1.0",
           "35_r1.0",
           "39_r1.0",
           "43_r1.0",
           "44_r1.0",
           "48_r1.0",
           "50_r1.0",
           "51_r1.0",
           "62_r1.0",
           "66_r1.0",
           "67_r1.0",
           "68_r1.0",
           "70_r1.0",
           "77_r1.0",
           "78_r1.0",
           "79_r1.0",
           "80_r1.0",
           "81_r1.0",
           "84_r1.0",
           "6_r1.0",
           "86_r1.0",
           "90_r1.0",
           "93_r1.0",
           "95_r1.0",
           "99_r1.0",
           "101_r1.0",
           "103_r1.0",
           "105_r1.0",
           "108_r1.0",
           "109_r1.0",
           "113_r1.0",
           "123_r1.0",
           "127_r1.0",
           "131_r1.0",
           "137_r1.0",
           "140_r1.0",
           "144_r1.0",
           "147_r1.0",
           "149_r1.0",
           "139_r1.0",
           "167_r1.0",
           "173_r1.0",
           "177_r1.0",
           "179_r1.0",
           "182_r1.0",
           "190_r1.0",
           "194_r1.0",
           "196_r1.0",
           "141_r1.0",
           "216_r1.0",
           "253_r1.0",
           "260_r1.0",
           "267_r1.0",
           "275_r1.0",
           "276_r1.0",
           "283_r1.0",
           "284_r1.0",
           "299_r1.0",
           "303_r1.0",
           "308_r1.0",
           "310_r1.0",
           "312_r1.0",
           "313_r1.0",
           "315_r1.0",
           "320_r1.0",
           "326_r1.0",
           "328_r1.0",
           "331_r1.0",
           "335_r1.0",
           "354_r1.0",
           "355_r1.0",
           "357_r1.0",
           "358_r1.0",
           "359_r1.0",
           "292_r1.0",
           "364_r1.0",
           "386_r1.0",
           "324_r1.0",
           "392_r1.0",
           "400_r1.0",
           "408_r1.0",
           "409_r1.0",
           "411_r1.0",
           "412_r1.0",
           "417_r1.0",
           "420_r1.0",
           "428_r1.0",
           "451_r1.0",
           "452_r1.0",
           "453_r1.0",
           "482_r1.0",
           "487_r1.0",
           "491_r1.0",
           "495_r1.0",
           "498_r1.0",
           "511_r1.0",
           "515_r1.0",
           "516_r1.0",
           "527_r1.0",
           "529_r1.0",
           "534_r1.0",
           "542_r1.0",
           "553_r1.0",
           "554_r1.0",
           "558_r1.0",
           "561_r1.0",
           "569_r1.0",
           "579_r1.0",
           "586_r1.0",
           "595_r1.0",
           "599_r1.0",
           "600_r1.0",
           "619_r1.0",
           "501_r1.0",
           "636_r1.0",
           "640_r1.0",
           "648_r1.0",
           "653_r1.0",
           "664_r1.0",
           "675_r1.0",
           "676_r1.0",
           "199_r1.0",
           "705_r1.0",
           "711_r1.0",
           "735_r1.0",
           "746_r1.0",
           "768_r1.0",
           "776_r1.0",
           "777_r1.0",
           "782_r1.0",
           "783_r1.0",
           "793_r1.0",
           "802_r1.0"
          ],
          "pad": 15,
          "thickness": 20
         },
         "type": "sankey"
        }
       ],
       "layout": {
        "height": 1000,
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "contour"
           }
          ],
          "contourcarpet": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "contourcarpet"
           }
          ],
          "heatmap": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmap"
           }
          ],
          "heatmapgl": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "heatmapgl"
           }
          ],
          "histogram": [
           {
            "marker": {
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "histogram"
           }
          ],
          "histogram2d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2d"
           }
          ],
          "histogram2dcontour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "histogram2dcontour"
           }
          ],
          "mesh3d": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "mesh3d"
           }
          ],
          "parcoords": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "parcoords"
           }
          ],
          "pie": [
           {
            "automargin": true,
            "type": "pie"
           }
          ],
          "scatter": [
           {
            "fillpattern": {
             "fillmode": "overlay",
             "size": 10,
             "solidity": 0.2
            },
            "type": "scatter"
           }
          ],
          "scatter3d": [
           {
            "line": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatter3d"
           }
          ],
          "scattercarpet": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattercarpet"
           }
          ],
          "scattergeo": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergeo"
           }
          ],
          "scattergl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattergl"
           }
          ],
          "scattermapbox": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scattermapbox"
           }
          ],
          "scatterpolar": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolar"
           }
          ],
          "scatterpolargl": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterpolargl"
           }
          ],
          "scatterternary": [
           {
            "marker": {
             "colorbar": {
              "outlinewidth": 0,
              "ticks": ""
             }
            },
            "type": "scatterternary"
           }
          ],
          "surface": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
             [
              0.2222222222222222,
              "#7201a8"
             ],
             [
              0.3333333333333333,
              "#9c179e"
             ],
             [
              0.4444444444444444,
              "#bd3786"
             ],
             [
              0.5555555555555556,
              "#d8576b"
             ],
             [
              0.6666666666666666,
              "#ed7953"
             ],
             [
              0.7777777777777778,
              "#fb9f3a"
             ],
             [
              0.8888888888888888,
              "#fdca26"
             ],
             [
              1,
              "#f0f921"
             ]
            ],
            "type": "surface"
           }
          ],
          "table": [
           {
            "cells": {
             "fill": {
              "color": "#EBF0F8"
             },
             "line": {
              "color": "white"
             }
            },
            "header": {
             "fill": {
              "color": "#C8D4E3"
             },
             "line": {
              "color": "white"
             }
            },
            "type": "table"
           }
          ]
         },
         "layout": {
          "annotationdefaults": {
           "arrowcolor": "#2a3f5f",
           "arrowhead": 0,
           "arrowwidth": 1
          },
          "autotypenumbers": "strict",
          "coloraxis": {
           "colorbar": {
            "outlinewidth": 0,
            "ticks": ""
           }
          },
          "colorscale": {
           "diverging": [
            [
             0,
             "#8e0152"
            ],
            [
             0.1,
             "#c51b7d"
            ],
            [
             0.2,
             "#de77ae"
            ],
            [
             0.3,
             "#f1b6da"
            ],
            [
             0.4,
             "#fde0ef"
            ],
            [
             0.5,
             "#f7f7f7"
            ],
            [
             0.6,
             "#e6f5d0"
            ],
            [
             0.7,
             "#b8e186"
            ],
            [
             0.8,
             "#7fbc41"
            ],
            [
             0.9,
             "#4d9221"
            ],
            [
             1,
             "#276419"
            ]
           ],
           "sequential": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ],
           "sequentialminus": [
            [
             0,
             "#0d0887"
            ],
            [
             0.1111111111111111,
             "#46039f"
            ],
            [
             0.2222222222222222,
             "#7201a8"
            ],
            [
             0.3333333333333333,
             "#9c179e"
            ],
            [
             0.4444444444444444,
             "#bd3786"
            ],
            [
             0.5555555555555556,
             "#d8576b"
            ],
            [
             0.6666666666666666,
             "#ed7953"
            ],
            [
             0.7777777777777778,
             "#fb9f3a"
            ],
            [
             0.8888888888888888,
             "#fdca26"
            ],
            [
             1,
             "#f0f921"
            ]
           ]
          },
          "colorway": [
           "#636efa",
           "#EF553B",
           "#00cc96",
           "#ab63fa",
           "#FFA15A",
           "#19d3f3",
           "#FF6692",
           "#B6E880",
           "#FF97FF",
           "#FECB52"
          ],
          "font": {
           "color": "#2a3f5f"
          },
          "geo": {
           "bgcolor": "white",
           "lakecolor": "white",
           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
          },
          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "zaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           }
          },
          "shapedefaults": {
           "line": {
            "color": "#2a3f5f"
           }
          },
          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "ride or die: 1.0 max res, no NaN cell types"
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# take only the columns with modularity data\n",
    "ovi_HB_chunk = ride_or_die_df[['0.0','0.05','0.1','0.5','0.75','1.0']].copy()\n",
    "\n",
    "create_Sankey(ovi_HB_chunk,'ride or die: 1.0 max res, no NaN cell types')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1008024276</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>FB5N_R</td>\n",
       "      <td>FB5N</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>AVM08</td>\n",
       "      <td>472.5</td>\n",
       "      <td>[19178, 29711, 37312]</td>\n",
       "      <td>{'SNP(L)': {'post': 5, 'upstream': 5, 'mito': ...</td>\n",
       "      <td>SMPCREFB5_4</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1008369339</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>FS1B(FQ9)_C6_R</td>\n",
       "      <td>FS1B</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM02</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[22606, 16349, 10032]</td>\n",
       "      <td>{'SNP(L)': {'pre': 43, 'post': 24, 'downstream...</td>\n",
       "      <td>FB25SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1008391068</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>FC2B(FQ7)_C6_L</td>\n",
       "      <td>FC2B</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>325.5</td>\n",
       "      <td>[29681, 16321, 7328]</td>\n",
       "      <td>{'CX': {'pre': 167, 'post': 2135, 'downstream'...</td>\n",
       "      <td>FB1d356CRE</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1008693605</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>FC2C(FQ7)_C7_L</td>\n",
       "      <td>FC2C</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[32830, 14210, 12336]</td>\n",
       "      <td>{'CX': {'pre': 91, 'post': 1051, 'downstream':...</td>\n",
       "      <td>FB1d367CRE</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1009371535</td>\n",
       "      <td>13</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>FC2B(FQ7)_C3_L</td>\n",
       "      <td>FC2B</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>277.5</td>\n",
       "      <td>[28298, 18341, 7600]</td>\n",
       "      <td>{'CX': {'pre': 130, 'post': 2051, 'downstream'...</td>\n",
       "      <td>FB1d356CRE</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2487</th>\n",
       "      <td>983067799</td>\n",
       "      <td>2488</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C3_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[29498, 16181, 12232]</td>\n",
       "      <td>{'SNP(R)': {'pre': 48, 'post': 37, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2488</th>\n",
       "      <td>983093876</td>\n",
       "      <td>2489</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>51</td>\n",
       "      <td>FS1A(FQ9)_C8_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>261.5</td>\n",
       "      <td>[32853, 11568, 18616]</td>\n",
       "      <td>{'SNP(R)': {'pre': 54, 'post': 50, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2490</th>\n",
       "      <td>983426636</td>\n",
       "      <td>2491</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>77</td>\n",
       "      <td>FS1A(FQ9)_C6_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>271.0</td>\n",
       "      <td>[30775, 16354, 10640]</td>\n",
       "      <td>{'SNP(L)': {'pre': 19, 'post': 14, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2491</th>\n",
       "      <td>983430664</td>\n",
       "      <td>2492</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C3_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[16993, 11130, 15072]</td>\n",
       "      <td>{'SNP(R)': {'pre': 37, 'post': 32, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2495</th>\n",
       "      <td>983767602</td>\n",
       "      <td>2496</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1B(FQ9)_C2_L</td>\n",
       "      <td>FS1B</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[27031, 16664, 12416]</td>\n",
       "      <td>{'SNP(R)': {'pre': 62, 'post': 30, 'downstream...</td>\n",
       "      <td>FB25SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>182 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id   key  0.0  0.05  0.1  0.5  0.75  1.0        instance  \\\n",
       "4     1008024276     5    3     2    2    5     5    5          FB5N_R   \n",
       "7     1008369339     8    3     2    2    5     5    8  FS1B(FQ9)_C6_R   \n",
       "8     1008391068     9    3     2    2    5     5    5  FC2B(FQ7)_C6_L   \n",
       "9     1008693605    10    3     2    2    5     5    9  FC2C(FQ7)_C7_L   \n",
       "12    1009371535    13    3     2    2    5     5   10  FC2B(FQ7)_C3_L   \n",
       "...          ...   ...  ...   ...  ...  ...   ...  ...             ...   \n",
       "2487   983067799  2488    3     2    2    5     5   20  FS1A(FQ9)_C3_L   \n",
       "2488   983093876  2489    3     2    2    5     5   51  FS1A(FQ9)_C8_L   \n",
       "2490   983426636  2491    3     2    2    5     5   77  FS1A(FQ9)_C6_L   \n",
       "2491   983430664  2492    3     2    2    5     5   20  FS1A(FQ9)_C3_R   \n",
       "2495   983767602  2496    3     2    2    5     5   20  FS1B(FQ9)_C2_L   \n",
       "\n",
       "     celltype  ...  status  cropped     statusLabel  cellBodyFiber  \\\n",
       "4        FB5N  ...  Traced    False  Roughly traced          AVM08   \n",
       "7        FS1B  ...  Traced    False  Roughly traced          PDM02   \n",
       "8        FC2B  ...  Traced    False  Roughly traced          PDM03   \n",
       "9        FC2C  ...  Traced    False  Roughly traced          PDM03   \n",
       "12       FC2B  ...  Traced    False  Roughly traced          PDM01   \n",
       "...       ...  ...     ...      ...             ...            ...   \n",
       "2487     FS1A  ...  Traced    False  Roughly traced          PDM01   \n",
       "2488     FS1A  ...  Traced    False  Roughly traced          PDM04   \n",
       "2490     FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "2491     FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "2495     FS1B  ...  Traced    False  Roughly traced          PDM01   \n",
       "\n",
       "      somaRadius           somaLocation  \\\n",
       "4          472.5  [19178, 29711, 37312]   \n",
       "7          301.0  [22606, 16349, 10032]   \n",
       "8          325.5   [29681, 16321, 7328]   \n",
       "9          291.0  [32830, 14210, 12336]   \n",
       "12         277.5   [28298, 18341, 7600]   \n",
       "...          ...                    ...   \n",
       "2487       291.0  [29498, 16181, 12232]   \n",
       "2488       261.5  [32853, 11568, 18616]   \n",
       "2490       271.0  [30775, 16354, 10640]   \n",
       "2491       236.0  [16993, 11130, 15072]   \n",
       "2495       301.0  [27031, 16664, 12416]   \n",
       "\n",
       "                                                roiInfo        notes  \\\n",
       "4     {'SNP(L)': {'post': 5, 'upstream': 5, 'mito': ...  SMPCREFB5_4   \n",
       "7     {'SNP(L)': {'pre': 43, 'post': 24, 'downstream...   FB25SMPSMP   \n",
       "8     {'CX': {'pre': 167, 'post': 2135, 'downstream'...   FB1d356CRE   \n",
       "9     {'CX': {'pre': 91, 'post': 1051, 'downstream':...   FB1d367CRE   \n",
       "12    {'CX': {'pre': 130, 'post': 2051, 'downstream'...   FB1d356CRE   \n",
       "...                                                 ...          ...   \n",
       "2487  {'SNP(R)': {'pre': 48, 'post': 37, 'downstream...  FB2-6SMPSMP   \n",
       "2488  {'SNP(R)': {'pre': 54, 'post': 50, 'downstream...  FB2-6SMPSMP   \n",
       "2490  {'SNP(L)': {'pre': 19, 'post': 14, 'downstream...  FB2-6SMPSMP   \n",
       "2491  {'SNP(R)': {'pre': 37, 'post': 32, 'downstream...  FB2-6SMPSMP   \n",
       "2495  {'SNP(R)': {'pre': 62, 'post': 30, 'downstream...   FB25SMPSMP   \n",
       "\n",
       "                                              inputRois  \\\n",
       "4     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "7     ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...   \n",
       "8     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "9     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "12    ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...   \n",
       "...                                                 ...   \n",
       "2487  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...   \n",
       "2488  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...   \n",
       "2490  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2491  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2495  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "\n",
       "                                             outputRois  \n",
       "4     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "7     ['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...  \n",
       "8     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "9     ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "12    ['CRE(-ROB,-RUB)(R)', 'CRE(R)', 'CX', 'FB', 'F...  \n",
       "...                                                 ...  \n",
       "2487  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...  \n",
       "2488  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...  \n",
       "2490  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2491  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2495  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "\n",
       "[182 rows x 26 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ride_or_die_df[ride_or_die_df['0.0']==3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>key</th>\n",
       "      <th>0.0</th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.1</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.75</th>\n",
       "      <th>1.0</th>\n",
       "      <th>instance</th>\n",
       "      <th>celltype</th>\n",
       "      <th>...</th>\n",
       "      <th>status</th>\n",
       "      <th>cropped</th>\n",
       "      <th>statusLabel</th>\n",
       "      <th>cellBodyFiber</th>\n",
       "      <th>somaRadius</th>\n",
       "      <th>somaLocation</th>\n",
       "      <th>roiInfo</th>\n",
       "      <th>notes</th>\n",
       "      <th>inputRois</th>\n",
       "      <th>outputRois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1014102651</td>\n",
       "      <td>27</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C2_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[26807, 16994, 11456]</td>\n",
       "      <td>{'SNP(R)': {'pre': 45, 'post': 34, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1014223948</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C2_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>291.5</td>\n",
       "      <td>[18950, 10470, 18776]</td>\n",
       "      <td>{'SNP(L)': {'pre': 36, 'post': 43, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>1014461486</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C3_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[28899, 16232, 12088]</td>\n",
       "      <td>{'SNP(R)': {'pre': 37, 'post': 23, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>1014465452</td>\n",
       "      <td>32</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>FS1A(FQ9)_C3_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[28255, 16569, 12008]</td>\n",
       "      <td>{'SNP(L)': {'pre': 25, 'post': 28, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1014465588</td>\n",
       "      <td>33</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>23</td>\n",
       "      <td>FS1A(FQ9)_C9_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>245.0</td>\n",
       "      <td>[33446, 11602, 19792]</td>\n",
       "      <td>{'SNP(R)': {'pre': 49, 'post': 31, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1014465666</td>\n",
       "      <td>34</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>24</td>\n",
       "      <td>FS1A(FQ9)_C9_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>300.0</td>\n",
       "      <td>[33748, 11191, 19440]</td>\n",
       "      <td>{'SNP(R)': {'pre': 45, 'post': 37, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl4',...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>1014474192</td>\n",
       "      <td>35</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C2_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[27300, 17574, 10448]</td>\n",
       "      <td>{'SNP(L)': {'pre': 31, 'post': 18, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>1039063931</td>\n",
       "      <td>58</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>39</td>\n",
       "      <td>FS1A(FQ9)_C5_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM02</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[19582, 14276, 13168]</td>\n",
       "      <td>{'SNP(R)': {'pre': 28, 'post': 21, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>1044800536</td>\n",
       "      <td>73</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>FS1A(FQ9)_C7_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>241.0</td>\n",
       "      <td>[33577, 12183, 17312]</td>\n",
       "      <td>{'SNP(L)': {'pre': 24, 'post': 21, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>1044918145</td>\n",
       "      <td>75</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C7_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[23421, 17021, 10288]</td>\n",
       "      <td>{'CX': {'pre': 1, 'post': 1086, 'downstream': ...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>1045141938</td>\n",
       "      <td>76</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>51</td>\n",
       "      <td>FS1A(FQ9)_C8_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>246.5</td>\n",
       "      <td>[32764, 10526, 18728]</td>\n",
       "      <td>{'SNP(R)': {'pre': 44, 'post': 31, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>1071496918</td>\n",
       "      <td>107</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C7_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[23041, 17479, 8624]</td>\n",
       "      <td>{'SNP(R)': {'pre': 46, 'post': 59, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>1071769518</td>\n",
       "      <td>110</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>39</td>\n",
       "      <td>FS1A(FQ9)_C4_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'SNP(R)': {'pre': 33, 'post': 33, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>1075611602</td>\n",
       "      <td>122</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>FS1A(FQ9)_C8_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[23908, 14708, 13792]</td>\n",
       "      <td>{'SNP(R)': {'pre': 55, 'post': 42, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>1102804327</td>\n",
       "      <td>138</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>23</td>\n",
       "      <td>FS1A(FQ9)_C3_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[16841, 11457, 15872]</td>\n",
       "      <td>{'SNP(L)': {'pre': 32, 'post': 22, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>1106888382</td>\n",
       "      <td>141</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>FS1A(FQ9)_C7_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>246.0</td>\n",
       "      <td>[33979, 13106, 16592]</td>\n",
       "      <td>{'SNP(R)': {'pre': 45, 'post': 30, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>1136252170</td>\n",
       "      <td>168</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C3_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[18327, 10495, 14552]</td>\n",
       "      <td>{'SNP(R)': {'pre': 39, 'post': 44, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>1138026774</td>\n",
       "      <td>171</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>51</td>\n",
       "      <td>FS1A(FQ9)_C8_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[23511, 14424, 13664]</td>\n",
       "      <td>{'SNP(L)': {'pre': 26, 'post': 17, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>1165305889</td>\n",
       "      <td>193</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>51</td>\n",
       "      <td>FS1A(FQ9)_C8_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[23835, 15288, 12336]</td>\n",
       "      <td>{'SNP(L)': {'pre': 32, 'post': 39, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>1195891557</td>\n",
       "      <td>207</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C2_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>266.5</td>\n",
       "      <td>[19687, 10099, 18784]</td>\n",
       "      <td>{'SNP(L)': {'pre': 29, 'post': 16, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>1230095228</td>\n",
       "      <td>227</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>131</td>\n",
       "      <td>FS1A(FQ9)_C9_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>239.5</td>\n",
       "      <td>[33130, 11847, 19080]</td>\n",
       "      <td>{'SNP(L)': {'pre': 17, 'post': 11, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>1291374677</td>\n",
       "      <td>250</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>144</td>\n",
       "      <td>FS1A(FQ9)_C1_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>271.0</td>\n",
       "      <td>[17977, 10237, 18000]</td>\n",
       "      <td>{'SNP(L)': {'pre': 22, 'post': 17, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>1323454861</td>\n",
       "      <td>261</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>81</td>\n",
       "      <td>FS1A(FQ9)_C1_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>291.5</td>\n",
       "      <td>[18846, 9924, 18448]</td>\n",
       "      <td>{'SNP(L)': {'pre': 44, 'post': 39, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CX', 'FB', 'FBl2', 'FBl3', 'FBl4', 'FBl5', '...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl4',...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>1345061120</td>\n",
       "      <td>272</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>51</td>\n",
       "      <td>FS1A(FQ9)_C8_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>251.5</td>\n",
       "      <td>[32253, 10987, 18680]</td>\n",
       "      <td>{'SNP(R)': {'pre': 52, 'post': 45, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1260</th>\n",
       "      <td>5813016900</td>\n",
       "      <td>1261</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>43</td>\n",
       "      <td>FS1A(FQ9)_C5_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM02</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[30695, 16346, 11672]</td>\n",
       "      <td>{'CX': {'post': 461, 'upstream': 461, 'mito': ...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1307</th>\n",
       "      <td>5813022923</td>\n",
       "      <td>1308</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C1_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>291.5</td>\n",
       "      <td>[19245, 9744, 18688]</td>\n",
       "      <td>{'SNP(R)': {'pre': 35, 'post': 31, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1417</th>\n",
       "      <td>5813065365</td>\n",
       "      <td>1418</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>23</td>\n",
       "      <td>FS1A(FQ9)_C7_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>261.0</td>\n",
       "      <td>[33914, 12153, 17480]</td>\n",
       "      <td>{'SNP(R)': {'pre': 51, 'post': 56, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl4',...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1496</th>\n",
       "      <td>5813130366</td>\n",
       "      <td>1497</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>FS1A(FQ9)_C8_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[23911, 15546, 13536]</td>\n",
       "      <td>{'SNP(L)': {'pre': 28, 'post': 17, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2324</th>\n",
       "      <td>885257938</td>\n",
       "      <td>2325</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>77</td>\n",
       "      <td>FS1A(FQ9)_C6_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[31175, 15847, 12384]</td>\n",
       "      <td>{'CX': {'pre': 1, 'post': 797, 'downstream': 5...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2339</th>\n",
       "      <td>890425079</td>\n",
       "      <td>2340</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C2_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>266.5</td>\n",
       "      <td>[20445, 9482, 18856]</td>\n",
       "      <td>{'SNP(L)': {'pre': 33, 'post': 35, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2377</th>\n",
       "      <td>915273417</td>\n",
       "      <td>2378</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C4_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM02</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[30385, 16059, 12680]</td>\n",
       "      <td>{'CX': {'post': 811, 'upstream': 811, 'mito': ...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2386</th>\n",
       "      <td>915964748</td>\n",
       "      <td>2387</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>77</td>\n",
       "      <td>FS1A(FQ9)_C6_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM02</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[22982, 16308, 11568]</td>\n",
       "      <td>{'CX': {'pre': 2, 'post': 724, 'downstream': 1...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2424</th>\n",
       "      <td>940791248</td>\n",
       "      <td>2425</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C4_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[20210, 12279, 12640]</td>\n",
       "      <td>{'SNP(L)': {'pre': 26, 'post': 19, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2429</th>\n",
       "      <td>946308462</td>\n",
       "      <td>2430</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>793</td>\n",
       "      <td>FS1A(FQ9)_C4_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM02</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[30697, 16376, 13040]</td>\n",
       "      <td>{'CX': {'pre': 3, 'post': 624, 'downstream': 1...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl5',...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2446</th>\n",
       "      <td>951808062</td>\n",
       "      <td>2447</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>FS1A(FQ9)_C6_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM02</td>\n",
       "      <td>301.0</td>\n",
       "      <td>[22191, 15887, 12672]</td>\n",
       "      <td>{'SNP(L)': {'pre': 23, 'post': 13, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2465</th>\n",
       "      <td>976994022</td>\n",
       "      <td>2466</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>802</td>\n",
       "      <td>FS1A(FQ9)_C5_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM02</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[30556, 15740, 11968]</td>\n",
       "      <td>{'SNP(R)': {'pre': 40, 'post': 26, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl5',...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2472</th>\n",
       "      <td>977697611</td>\n",
       "      <td>2473</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>77</td>\n",
       "      <td>FS1A(FQ9)_C6_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[30984, 16100, 11704]</td>\n",
       "      <td>{'CX': {'pre': 1, 'post': 814, 'downstream': 5...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2487</th>\n",
       "      <td>983067799</td>\n",
       "      <td>2488</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C3_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM01</td>\n",
       "      <td>291.0</td>\n",
       "      <td>[29498, 16181, 12232]</td>\n",
       "      <td>{'SNP(R)': {'pre': 48, 'post': 37, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2488</th>\n",
       "      <td>983093876</td>\n",
       "      <td>2489</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>51</td>\n",
       "      <td>FS1A(FQ9)_C8_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM04</td>\n",
       "      <td>261.5</td>\n",
       "      <td>[32853, 11568, 18616]</td>\n",
       "      <td>{'SNP(R)': {'pre': 54, 'post': 50, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...</td>\n",
       "      <td>['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2490</th>\n",
       "      <td>983426636</td>\n",
       "      <td>2491</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>77</td>\n",
       "      <td>FS1A(FQ9)_C6_L</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>271.0</td>\n",
       "      <td>[30775, 16354, 10640]</td>\n",
       "      <td>{'SNP(L)': {'pre': 19, 'post': 14, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2491</th>\n",
       "      <td>983430664</td>\n",
       "      <td>2492</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>FS1A(FQ9)_C3_R</td>\n",
       "      <td>FS1A</td>\n",
       "      <td>...</td>\n",
       "      <td>Traced</td>\n",
       "      <td>False</td>\n",
       "      <td>Roughly traced</td>\n",
       "      <td>PDM03</td>\n",
       "      <td>236.0</td>\n",
       "      <td>[16993, 11130, 15072]</td>\n",
       "      <td>{'SNP(R)': {'pre': 37, 'post': 32, 'downstream...</td>\n",
       "      <td>FB2-6SMPSMP</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "      <td>['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>41 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              id   key  0.0  0.05  0.1  0.5  0.75  1.0        instance  \\\n",
       "26    1014102651    27    3     2    2    5     5   20  FS1A(FQ9)_C2_L   \n",
       "28    1014223948    29    3     2    2    5     5   20  FS1A(FQ9)_C2_R   \n",
       "30    1014461486    31    3     2    2    5     5   20  FS1A(FQ9)_C3_L   \n",
       "31    1014465452    32    3     2    2    5     5   10  FS1A(FQ9)_C3_L   \n",
       "32    1014465588    33    3     2    2    5     5   23  FS1A(FQ9)_C9_L   \n",
       "33    1014465666    34    3     2    2    5     5   24  FS1A(FQ9)_C9_L   \n",
       "34    1014474192    35    3     2    2    5     5   20  FS1A(FQ9)_C2_L   \n",
       "57    1039063931    58    3     2    2    5     5   39  FS1A(FQ9)_C5_R   \n",
       "72    1044800536    73    3     2    2    5     5   50  FS1A(FQ9)_C7_L   \n",
       "74    1044918145    75    3     2    2    5     5   20  FS1A(FQ9)_C7_R   \n",
       "75    1045141938    76    3     2    2    5     5   51  FS1A(FQ9)_C8_L   \n",
       "106   1071496918   107    3     2    2    5     5   20  FS1A(FQ9)_C7_R   \n",
       "109   1071769518   110    3     2    2    5     5   39  FS1A(FQ9)_C4_R   \n",
       "121   1075611602   122    3     2    2    5     5    8  FS1A(FQ9)_C8_R   \n",
       "137   1102804327   138    3     2    2    5     5   23  FS1A(FQ9)_C3_R   \n",
       "140   1106888382   141    3     2    2    5     5    9  FS1A(FQ9)_C7_L   \n",
       "167   1136252170   168    3     2    2    5     5   20  FS1A(FQ9)_C3_R   \n",
       "170   1138026774   171    3     2    2    5     5   51  FS1A(FQ9)_C8_R   \n",
       "192   1165305889   193    3     2    2    5     5   51  FS1A(FQ9)_C8_R   \n",
       "206   1195891557   207    3     2    2    5     5   20  FS1A(FQ9)_C2_R   \n",
       "226   1230095228   227    3     2    2    5     5  131  FS1A(FQ9)_C9_L   \n",
       "249   1291374677   250    3     2    2    5     5  144  FS1A(FQ9)_C1_R   \n",
       "260   1323454861   261    3     2    2    5     5   81  FS1A(FQ9)_C1_R   \n",
       "271   1345061120   272    3     2    2    5     5   51  FS1A(FQ9)_C8_L   \n",
       "1260  5813016900  1261    3     2    2    5     5   43  FS1A(FQ9)_C5_L   \n",
       "1307  5813022923  1308    3     2    2    5     5   20  FS1A(FQ9)_C1_R   \n",
       "1417  5813065365  1418    3     2    2    5     5   23  FS1A(FQ9)_C7_L   \n",
       "1496  5813130366  1497    3     2    2    5     5   50  FS1A(FQ9)_C8_R   \n",
       "2324   885257938  2325    3     2    2    5     5   77  FS1A(FQ9)_C6_L   \n",
       "2339   890425079  2340    3     2    2    5     5   20  FS1A(FQ9)_C2_R   \n",
       "2377   915273417  2378    3     2    2    5     5   20  FS1A(FQ9)_C4_L   \n",
       "2386   915964748  2387    3     2    2    5     5   77  FS1A(FQ9)_C6_R   \n",
       "2424   940791248  2425    3     2    2    5     5   20  FS1A(FQ9)_C4_R   \n",
       "2429   946308462  2430    3     2    2    5     5  793  FS1A(FQ9)_C4_L   \n",
       "2446   951808062  2447    3     2    2    5     5   50  FS1A(FQ9)_C6_R   \n",
       "2465   976994022  2466    3     2    2    5     5  802  FS1A(FQ9)_C5_L   \n",
       "2472   977697611  2473    3     2    2    5     5   77  FS1A(FQ9)_C6_L   \n",
       "2487   983067799  2488    3     2    2    5     5   20  FS1A(FQ9)_C3_L   \n",
       "2488   983093876  2489    3     2    2    5     5   51  FS1A(FQ9)_C8_L   \n",
       "2490   983426636  2491    3     2    2    5     5   77  FS1A(FQ9)_C6_L   \n",
       "2491   983430664  2492    3     2    2    5     5   20  FS1A(FQ9)_C3_R   \n",
       "\n",
       "     celltype  ...  status  cropped     statusLabel  cellBodyFiber  \\\n",
       "26       FS1A  ...  Traced    False  Roughly traced          PDM01   \n",
       "28       FS1A  ...  Traced    False  Roughly traced          PDM04   \n",
       "30       FS1A  ...  Traced    False  Roughly traced          PDM01   \n",
       "31       FS1A  ...  Traced    False  Roughly traced          PDM01   \n",
       "32       FS1A  ...  Traced    False  Roughly traced          PDM04   \n",
       "33       FS1A  ...  Traced    False  Roughly traced          PDM04   \n",
       "34       FS1A  ...  Traced    False  Roughly traced          PDM01   \n",
       "57       FS1A  ...  Traced    False  Roughly traced          PDM02   \n",
       "72       FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "74       FS1A  ...  Traced    False  Roughly traced          PDM01   \n",
       "75       FS1A  ...  Traced    False  Roughly traced          PDM04   \n",
       "106      FS1A  ...  Traced    False  Roughly traced          PDM01   \n",
       "109      FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "121      FS1A  ...  Traced    False  Roughly traced          PDM01   \n",
       "137      FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "140      FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "167      FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "170      FS1A  ...  Traced    False  Roughly traced          PDM01   \n",
       "192      FS1A  ...  Traced    False  Roughly traced          PDM01   \n",
       "206      FS1A  ...  Traced    False  Roughly traced          PDM04   \n",
       "226      FS1A  ...  Traced    False  Roughly traced          PDM04   \n",
       "249      FS1A  ...  Traced    False  Roughly traced          PDM04   \n",
       "260      FS1A  ...  Traced    False  Roughly traced          PDM04   \n",
       "271      FS1A  ...  Traced    False  Roughly traced          PDM04   \n",
       "1260     FS1A  ...  Traced    False  Roughly traced          PDM02   \n",
       "1307     FS1A  ...  Traced    False  Roughly traced          PDM04   \n",
       "1417     FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "1496     FS1A  ...  Traced    False  Roughly traced          PDM01   \n",
       "2324     FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "2339     FS1A  ...  Traced    False  Roughly traced          PDM04   \n",
       "2377     FS1A  ...  Traced    False  Roughly traced          PDM02   \n",
       "2386     FS1A  ...  Traced    False  Roughly traced          PDM02   \n",
       "2424     FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "2429     FS1A  ...  Traced    False  Roughly traced          PDM02   \n",
       "2446     FS1A  ...  Traced    False  Roughly traced          PDM02   \n",
       "2465     FS1A  ...  Traced    False  Roughly traced          PDM02   \n",
       "2472     FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "2487     FS1A  ...  Traced    False  Roughly traced          PDM01   \n",
       "2488     FS1A  ...  Traced    False  Roughly traced          PDM04   \n",
       "2490     FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "2491     FS1A  ...  Traced    False  Roughly traced          PDM03   \n",
       "\n",
       "      somaRadius           somaLocation  \\\n",
       "26         301.0  [26807, 16994, 11456]   \n",
       "28         291.5  [18950, 10470, 18776]   \n",
       "30         291.0  [28899, 16232, 12088]   \n",
       "31         291.0  [28255, 16569, 12008]   \n",
       "32         245.0  [33446, 11602, 19792]   \n",
       "33         300.0  [33748, 11191, 19440]   \n",
       "34         301.0  [27300, 17574, 10448]   \n",
       "57         301.0  [19582, 14276, 13168]   \n",
       "72         241.0  [33577, 12183, 17312]   \n",
       "74         301.0  [23421, 17021, 10288]   \n",
       "75         246.5  [32764, 10526, 18728]   \n",
       "106        236.0   [23041, 17479, 8624]   \n",
       "109          NaN                    NaN   \n",
       "121        301.0  [23908, 14708, 13792]   \n",
       "137        236.0  [16841, 11457, 15872]   \n",
       "140        246.0  [33979, 13106, 16592]   \n",
       "167        236.0  [18327, 10495, 14552]   \n",
       "170        301.0  [23511, 14424, 13664]   \n",
       "192        301.0  [23835, 15288, 12336]   \n",
       "206        266.5  [19687, 10099, 18784]   \n",
       "226        239.5  [33130, 11847, 19080]   \n",
       "249        271.0  [17977, 10237, 18000]   \n",
       "260        291.5   [18846, 9924, 18448]   \n",
       "271        251.5  [32253, 10987, 18680]   \n",
       "1260       291.0  [30695, 16346, 11672]   \n",
       "1307       291.5   [19245, 9744, 18688]   \n",
       "1417       261.0  [33914, 12153, 17480]   \n",
       "1496       301.0  [23911, 15546, 13536]   \n",
       "2324       291.0  [31175, 15847, 12384]   \n",
       "2339       266.5   [20445, 9482, 18856]   \n",
       "2377       291.0  [30385, 16059, 12680]   \n",
       "2386       301.0  [22982, 16308, 11568]   \n",
       "2424       301.0  [20210, 12279, 12640]   \n",
       "2429       291.0  [30697, 16376, 13040]   \n",
       "2446       301.0  [22191, 15887, 12672]   \n",
       "2465       291.0  [30556, 15740, 11968]   \n",
       "2472       291.0  [30984, 16100, 11704]   \n",
       "2487       291.0  [29498, 16181, 12232]   \n",
       "2488       261.5  [32853, 11568, 18616]   \n",
       "2490       271.0  [30775, 16354, 10640]   \n",
       "2491       236.0  [16993, 11130, 15072]   \n",
       "\n",
       "                                                roiInfo        notes  \\\n",
       "26    {'SNP(R)': {'pre': 45, 'post': 34, 'downstream...  FB2-6SMPSMP   \n",
       "28    {'SNP(L)': {'pre': 36, 'post': 43, 'downstream...  FB2-6SMPSMP   \n",
       "30    {'SNP(R)': {'pre': 37, 'post': 23, 'downstream...  FB2-6SMPSMP   \n",
       "31    {'SNP(L)': {'pre': 25, 'post': 28, 'downstream...  FB2-6SMPSMP   \n",
       "32    {'SNP(R)': {'pre': 49, 'post': 31, 'downstream...  FB2-6SMPSMP   \n",
       "33    {'SNP(R)': {'pre': 45, 'post': 37, 'downstream...  FB2-6SMPSMP   \n",
       "34    {'SNP(L)': {'pre': 31, 'post': 18, 'downstream...  FB2-6SMPSMP   \n",
       "57    {'SNP(R)': {'pre': 28, 'post': 21, 'downstream...  FB2-6SMPSMP   \n",
       "72    {'SNP(L)': {'pre': 24, 'post': 21, 'downstream...  FB2-6SMPSMP   \n",
       "74    {'CX': {'pre': 1, 'post': 1086, 'downstream': ...  FB2-6SMPSMP   \n",
       "75    {'SNP(R)': {'pre': 44, 'post': 31, 'downstream...  FB2-6SMPSMP   \n",
       "106   {'SNP(R)': {'pre': 46, 'post': 59, 'downstream...  FB2-6SMPSMP   \n",
       "109   {'SNP(R)': {'pre': 33, 'post': 33, 'downstream...  FB2-6SMPSMP   \n",
       "121   {'SNP(R)': {'pre': 55, 'post': 42, 'downstream...  FB2-6SMPSMP   \n",
       "137   {'SNP(L)': {'pre': 32, 'post': 22, 'downstream...  FB2-6SMPSMP   \n",
       "140   {'SNP(R)': {'pre': 45, 'post': 30, 'downstream...  FB2-6SMPSMP   \n",
       "167   {'SNP(R)': {'pre': 39, 'post': 44, 'downstream...  FB2-6SMPSMP   \n",
       "170   {'SNP(L)': {'pre': 26, 'post': 17, 'downstream...  FB2-6SMPSMP   \n",
       "192   {'SNP(L)': {'pre': 32, 'post': 39, 'downstream...  FB2-6SMPSMP   \n",
       "206   {'SNP(L)': {'pre': 29, 'post': 16, 'downstream...  FB2-6SMPSMP   \n",
       "226   {'SNP(L)': {'pre': 17, 'post': 11, 'downstream...  FB2-6SMPSMP   \n",
       "249   {'SNP(L)': {'pre': 22, 'post': 17, 'downstream...  FB2-6SMPSMP   \n",
       "260   {'SNP(L)': {'pre': 44, 'post': 39, 'downstream...  FB2-6SMPSMP   \n",
       "271   {'SNP(R)': {'pre': 52, 'post': 45, 'downstream...  FB2-6SMPSMP   \n",
       "1260  {'CX': {'post': 461, 'upstream': 461, 'mito': ...  FB2-6SMPSMP   \n",
       "1307  {'SNP(R)': {'pre': 35, 'post': 31, 'downstream...  FB2-6SMPSMP   \n",
       "1417  {'SNP(R)': {'pre': 51, 'post': 56, 'downstream...  FB2-6SMPSMP   \n",
       "1496  {'SNP(L)': {'pre': 28, 'post': 17, 'downstream...  FB2-6SMPSMP   \n",
       "2324  {'CX': {'pre': 1, 'post': 797, 'downstream': 5...  FB2-6SMPSMP   \n",
       "2339  {'SNP(L)': {'pre': 33, 'post': 35, 'downstream...  FB2-6SMPSMP   \n",
       "2377  {'CX': {'post': 811, 'upstream': 811, 'mito': ...  FB2-6SMPSMP   \n",
       "2386  {'CX': {'pre': 2, 'post': 724, 'downstream': 1...  FB2-6SMPSMP   \n",
       "2424  {'SNP(L)': {'pre': 26, 'post': 19, 'downstream...  FB2-6SMPSMP   \n",
       "2429  {'CX': {'pre': 3, 'post': 624, 'downstream': 1...  FB2-6SMPSMP   \n",
       "2446  {'SNP(L)': {'pre': 23, 'post': 13, 'downstream...  FB2-6SMPSMP   \n",
       "2465  {'SNP(R)': {'pre': 40, 'post': 26, 'downstream...  FB2-6SMPSMP   \n",
       "2472  {'CX': {'pre': 1, 'post': 814, 'downstream': 5...  FB2-6SMPSMP   \n",
       "2487  {'SNP(R)': {'pre': 48, 'post': 37, 'downstream...  FB2-6SMPSMP   \n",
       "2488  {'SNP(R)': {'pre': 54, 'post': 50, 'downstream...  FB2-6SMPSMP   \n",
       "2490  {'SNP(L)': {'pre': 19, 'post': 14, 'downstream...  FB2-6SMPSMP   \n",
       "2491  {'SNP(R)': {'pre': 37, 'post': 32, 'downstream...  FB2-6SMPSMP   \n",
       "\n",
       "                                              inputRois  \\\n",
       "26    ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...   \n",
       "28    ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...   \n",
       "30    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "31    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "32    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "33    ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...   \n",
       "34    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "57    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "72    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "74    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "75    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "106   ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...   \n",
       "109   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "121   ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...   \n",
       "137   ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...   \n",
       "140   ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...   \n",
       "167   ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...   \n",
       "170   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "192   ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...   \n",
       "206   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "226   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "249   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "260   ['CX', 'FB', 'FBl2', 'FBl3', 'FBl4', 'FBl5', '...   \n",
       "271   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "1260  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...   \n",
       "1307  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "1417  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...   \n",
       "1496  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2324  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2339  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2377  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2386  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...   \n",
       "2424  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2429  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2446  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2465  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...   \n",
       "2472  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...   \n",
       "2487  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...   \n",
       "2488  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl1',...   \n",
       "2490  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "2491  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...   \n",
       "\n",
       "                                             outputRois  \n",
       "26    ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...  \n",
       "28    ['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...  \n",
       "30    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "31    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "32    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "33    ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl4',...  \n",
       "34    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "57    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "72    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "74    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "75    ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "106   ['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...  \n",
       "109   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "121   ['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...  \n",
       "137   ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...  \n",
       "140   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "167   ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...  \n",
       "170   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "192   ['CRE(-RUB)(L)', 'CRE(L)', 'INP', 'SMP(L)', 'S...  \n",
       "206   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "226   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "249   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "260   ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl4',...  \n",
       "271   ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "1260  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "1307  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "1417  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl4',...  \n",
       "1496  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2324  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2339  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2377  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2386  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...  \n",
       "2424  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2429  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl5',...  \n",
       "2446  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2465  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl5',...  \n",
       "2472  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2487  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FB-col...  \n",
       "2488  ['CRE(-RUB)(L)', 'CRE(L)', 'CX', 'FB', 'FBl2',...  \n",
       "2490  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "2491  ['CRE(-ROB,-RUB)(R)', 'CRE(-RUB)(L)', 'CRE(L)'...  \n",
       "\n",
       "[41 rows x 26 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ride_or_die_df[ride_or_die_df['celltype']=='FS1A']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "FS1As reappear only at max res 1.0. It seems like traveling with a large group is somewhat of a liability. It is easier to be a ride or die when you travel in pairs but not in groups of 44. This ride or die analysis must be done on the oviINr input connectome by cell types. That way we can identify cell types that ride as pairs or larger groups. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "modularity",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}