update_2018_plot.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "crash = pd.read_csv('./data/Crashes_in_DC_011019.csv', low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['X', 'Y', 'OBJECTID', 'CRIMEID', 'CCN', 'REPORTDATE', 'ROUTEID',\n",
       "       'MEASURE', 'OFFSET', 'STREETSEGID', 'ROADWAYSEGID', 'FROMDATE',\n",
       "       'TODATE', 'MARID', 'ADDRESS', 'LATITUDE', 'LONGITUDE', 'XCOORD',\n",
       "       'YCOORD', 'WARD', 'EVENTID', 'MAR_ADDRESS', 'MAR_SCORE',\n",
       "       'MAJORINJURIES_BICYCLIST', 'MINORINJURIES_BICYCLIST',\n",
       "       'UNKNOWNINJURIES_BICYCLIST', 'FATAL_BICYCLIST', 'MAJORINJURIES_DRIVER',\n",
       "       'MINORINJURIES_DRIVER', 'UNKNOWNINJURIES_DRIVER', 'FATAL_DRIVER',\n",
       "       'MAJORINJURIES_PEDESTRIAN', 'MINORINJURIES_PEDESTRIAN',\n",
       "       'UNKNOWNINJURIES_PEDESTRIAN', 'FATAL_PEDESTRIAN', 'TOTAL_VEHICLES',\n",
       "       'TOTAL_BICYCLES', 'TOTAL_PEDESTRIANS', 'PEDESTRIANSIMPAIRED',\n",
       "       'BICYCLISTSIMPAIRED', 'DRIVERSIMPAIRED', 'TOTAL_TAXIS',\n",
       "       'TOTAL_GOVERNMENT', 'SPEEDING_INVOLVED', 'NEARESTINTROUTEID',\n",
       "       'NEARESTINTSTREETNAME', 'OFFINTERSECTION', 'INTAPPROACHDIRECTION',\n",
       "       'LOCATIONERROR', 'LASTUPDATEDATE', 'MPDLATITUDE', 'MPDLONGITUDE',\n",
       "       'MPDGEOX', 'MPDGEOY'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crash.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>CRIMEID</th>\n",
       "      <th>CCN</th>\n",
       "      <th>REPORTDATE</th>\n",
       "      <th>ROUTEID</th>\n",
       "      <th>MEASURE</th>\n",
       "      <th>OFFSET</th>\n",
       "      <th>STREETSEGID</th>\n",
       "      <th>...</th>\n",
       "      <th>NEARESTINTROUTEID</th>\n",
       "      <th>NEARESTINTSTREETNAME</th>\n",
       "      <th>OFFINTERSECTION</th>\n",
       "      <th>INTAPPROACHDIRECTION</th>\n",
       "      <th>LOCATIONERROR</th>\n",
       "      <th>LASTUPDATEDATE</th>\n",
       "      <th>MPDLATITUDE</th>\n",
       "      <th>MPDLONGITUDE</th>\n",
       "      <th>MPDGEOX</th>\n",
       "      <th>MPDGEOY</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-76.939271</td>\n",
       "      <td>38.881772</td>\n",
       "      <td>70955560</td>\n",
       "      <td>24641879</td>\n",
       "      <td>13085762</td>\n",
       "      <td>2013-06-22T05:00:00.000Z</td>\n",
       "      <td>13034382</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>5696.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13009362</td>\n",
       "      <td>ALABAMA AVE SE</td>\n",
       "      <td>0.850371</td>\n",
       "      <td>North</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-77.021913</td>\n",
       "      <td>38.893898</td>\n",
       "      <td>70955561</td>\n",
       "      <td>25166168</td>\n",
       "      <td>14159941</td>\n",
       "      <td>2014-10-17T05:00:00.000Z</td>\n",
       "      <td>11000702</td>\n",
       "      <td>472.983</td>\n",
       "      <td>0.564892</td>\n",
       "      <td>6816.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11048162</td>\n",
       "      <td>INDIANA AVE NW</td>\n",
       "      <td>1.568010</td>\n",
       "      <td>North</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.893890</td>\n",
       "      <td>-77.021904</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-77.027739</td>\n",
       "      <td>38.954105</td>\n",
       "      <td>70955562</td>\n",
       "      <td>24641881</td>\n",
       "      <td>13086088</td>\n",
       "      <td>2013-06-23T19:14:00.000Z</td>\n",
       "      <td>11040042</td>\n",
       "      <td>4236.112</td>\n",
       "      <td>0.279638</td>\n",
       "      <td>4837.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11048422</td>\n",
       "      <td>INGRAHAM ST NW</td>\n",
       "      <td>0.987787</td>\n",
       "      <td>North</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.954098</td>\n",
       "      <td>-77.027733</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-77.056939</td>\n",
       "      <td>38.904600</td>\n",
       "      <td>70955563</td>\n",
       "      <td>25166173</td>\n",
       "      <td>14159465</td>\n",
       "      <td>2014-10-16T05:00:00.000Z</td>\n",
       "      <td>36001942</td>\n",
       "      <td>106.070</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11069812</td>\n",
       "      <td>PENNSYLVANIA AVE NW</td>\n",
       "      <td>33.409623</td>\n",
       "      <td>Southwest</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-77.050801</td>\n",
       "      <td>38.923507</td>\n",
       "      <td>70955564</td>\n",
       "      <td>25166174</td>\n",
       "      <td>14159077</td>\n",
       "      <td>2014-10-15T05:00:00.000Z</td>\n",
       "      <td>11020022</td>\n",
       "      <td>657.149</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4982.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11094182</td>\n",
       "      <td>WOODLEY PL NW</td>\n",
       "      <td>46.373786</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.923265</td>\n",
       "      <td>-77.050828</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 54 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           X          Y  OBJECTID   CRIMEID       CCN  \\\n",
       "0 -76.939271  38.881772  70955560  24641879  13085762   \n",
       "1 -77.021913  38.893898  70955561  25166168  14159941   \n",
       "2 -77.027739  38.954105  70955562  24641881  13086088   \n",
       "3 -77.056939  38.904600  70955563  25166173  14159465   \n",
       "4 -77.050801  38.923507  70955564  25166174  14159077   \n",
       "\n",
       "                 REPORTDATE   ROUTEID   MEASURE    OFFSET  STREETSEGID  \\\n",
       "0  2013-06-22T05:00:00.000Z  13034382     0.000  0.000011       5696.0   \n",
       "1  2014-10-17T05:00:00.000Z  11000702   472.983  0.564892       6816.0   \n",
       "2  2013-06-23T19:14:00.000Z  11040042  4236.112  0.279638       4837.0   \n",
       "3  2014-10-16T05:00:00.000Z  36001942   106.070  0.000000         -9.0   \n",
       "4  2014-10-15T05:00:00.000Z  11020022   657.149  0.000000       4982.0   \n",
       "\n",
       "    ...    NEARESTINTROUTEID NEARESTINTSTREETNAME  OFFINTERSECTION  \\\n",
       "0   ...             13009362       ALABAMA AVE SE         0.850371   \n",
       "1   ...             11048162       INDIANA AVE NW         1.568010   \n",
       "2   ...             11048422       INGRAHAM ST NW         0.987787   \n",
       "3   ...             11069812  PENNSYLVANIA AVE NW        33.409623   \n",
       "4   ...             11094182        WOODLEY PL NW        46.373786   \n",
       "\n",
       "   INTAPPROACHDIRECTION LOCATIONERROR  LASTUPDATEDATE  MPDLATITUDE  \\\n",
       "0                 North           NaN             NaN          NaN   \n",
       "1                 North           NaN             NaN    38.893890   \n",
       "2                 North           NaN             NaN    38.954098   \n",
       "3             Southwest           NaN             NaN          NaN   \n",
       "4                  West           NaN             NaN    38.923265   \n",
       "\n",
       "   MPDLONGITUDE  MPDGEOX MPDGEOY  \n",
       "0           NaN      NaN     NaN  \n",
       "1    -77.021904      NaN     NaN  \n",
       "2    -77.027733      NaN     NaN  \n",
       "3           NaN      NaN     NaN  \n",
       "4    -77.050828      NaN     NaN  \n",
       "\n",
       "[5 rows x 54 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crash.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "crash['REPORTDATE'] = pd.to_datetime(crash['REPORTDATE'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count                  196451\n",
       "unique                 102431\n",
       "top       2015-01-06 05:00:00\n",
       "freq                       89\n",
       "first     1975-05-26 05:00:00\n",
       "last      2025-05-24 05:00:00\n",
       "Name: REPORTDATE, dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crash['REPORTDATE'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "101789   2025-05-24 05:00:00\n",
       "197044   2019-01-09 05:17:17\n",
       "197043   2019-01-09 04:45:53\n",
       "197041   2019-01-09 04:29:09\n",
       "197040   2019-01-09 04:28:16\n",
       "Name: REPORTDATE, dtype: datetime64[ns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crash['REPORTDATE'].nlargest()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "ts = crash.set_index('REPORTDATE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x119817e48>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x119817860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ts.sort_index()['MINORINJURIES_BICYCLIST']['2015':'2017'].cumsum().plot(title='Total Minor Bicycle Crashes in DC')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "255"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# major accidents\n",
    "crash[crash['MAJORINJURIES_BICYCLIST'] > 0].shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1670"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# minor injuries\n",
    "crash[crash['MINORINJURIES_BICYCLIST'] > 0].shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fatalities\n",
    "crash[crash['FATAL_BICYCLIST'] > 0].shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot all accidents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data = crash[crash['MINORINJURIES_BICYCLIST'] > 0][['X', 'Y']].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# m = folium.Map(location=[38.9072, -77.0369], zoom_start=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # add to map one-by-one\n",
    "# for i in range(0,len(data)):\n",
    "#     folium.Marker(location=[data[i][1], data[i][0]],\n",
    "#                   icon=folium.Icon(color='red'),\n",
    "                  \n",
    "#                  ).add_to(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot by year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = crash[crash['MINORINJURIES_BICYCLIST'] > 0][['X', 'Y']].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "data16 = ts['2016'][ts['2016']['MINORINJURIES_BICYCLIST'] > 0][['X', 'Y']].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "data17 = ts['2017'][ts['2017']['MINORINJURIES_BICYCLIST'] > 0][['X', 'Y']].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "data18 = ts['2018'][ts['2018']['MINORINJURIES_BICYCLIST'] > 0][['X', 'Y']].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "428"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "525"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data17)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "414"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "crash161718 = folium.Map(location=[38.9072, -77.0369], zoom_start=12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # add to map one-by-one\n",
    "# for i in range(0,len(data16)):\n",
    "#     folium.Marker(location=[data[i][1], data[i][0]],\n",
    "#                   icon=folium.Icon(color='blue'),\n",
    "#                   popup='2016',\n",
    "#                  ).add_to(crash161718)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add to map one-by-one\n",
    "for i in range(0,len(data17)):\n",
    "    folium.Marker(location=[data[i][1], data[i][0]],\n",
    "                  icon=folium.Icon(color='red'),\n",
    "                  popup='2017',\n",
    "                 ).add_to(crash161718)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add to map one-by-one\n",
    "for i in range(0,len(data18)):\n",
    "    folium.Marker(location=[data[i][1], data[i][0]],\n",
    "                  icon=folium.Icon(color='green'),\n",
    "                  popup='2018',\n",
    "                 ).add_to(crash161718)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# crash161718"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "crash161718.save('./maps/bicycle-17-18-crashes.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Totals by year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(428, 53)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts['2016'][ts['2016']['MINORINJURIES_BICYCLIST'] > 0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(51, 53)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts['2016'][ts['2016']['MAJORINJURIES_BICYCLIST'] > 0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 53)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts['2016'][ts['2016']['FATAL_BICYCLIST'] > 0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(525, 53)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts['2017'][ts['2017']['MINORINJURIES_BICYCLIST'] > 0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(57, 53)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts['2017'][ts['2017']['MAJORINJURIES_BICYCLIST'] > 0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 53)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts['2017'][ts['2017']['FATAL_BICYCLIST'] > 0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(414, 53)"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts['2018'][ts['2018']['MINORINJURIES_BICYCLIST'] > 0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(45, 53)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts['2018'][ts['2018']['MAJORINJURIES_BICYCLIST'] > 0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3, 53)"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts['2018'][ts['2018']['FATAL_BICYCLIST'] > 0].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1232537b8>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x123252f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ts.sort_index()['MINORINJURIES_BICYCLIST']['2015':'2017'].cumsum().plot(title='Total Minor Bicycle Crashes in DC')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ts.resample('D')[bike_columns].sum().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x134dd8240>"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x126c83ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ts['2016'].resample('D')[bike_columns].sum().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x135035be0>"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x134e8bbe0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ts['2017'].resample('D')[bike_columns].sum().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11ad64278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ts['2016'].resample('D')['MINORINJURIES_BICYCLIST'].sum().plot()\n",
    "ts['2017'].resample('D')['MINORINJURIES_BICYCLIST'].sum().plot()\n",
    "ts['2018'].resample('D')['MINORINJURIES_BICYCLIST'].sum().plot()\n",
    "plt.savefig('./img/time_of_year.png', dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11aba7940>"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11aab5a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ts['2018'].resample('D')['MINORINJURIES_BICYCLIST'].sum().plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Days of week analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "bike_columns = ['MAJORINJURIES_BICYCLIST', 'MINORINJURIES_BICYCLIST', 'UNKNOWNINJURIES_BICYCLIST', 'FATAL_BICYCLIST']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MAJORINJURIES_BICYCLIST       255\n",
       "MINORINJURIES_BICYCLIST      1678\n",
       "UNKNOWNINJURIES_BICYCLIST      15\n",
       "FATAL_BICYCLIST                10\n",
       "dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crash[bike_columns].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "bike_crash = crash[(crash['MAJORINJURIES_BICYCLIST'] > 0) | (crash['MINORINJURIES_BICYCLIST'] > 0) | (crash['FATAL_BICYCLIST'] > 0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Monday is 0 and Sunday is 6\n",
    "def get_weekday(timestamp):\n",
    "    return timestamp.weekday()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_week_number(timestamp):\n",
    "    return timestamp.isocalendar()[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/JosephNelson/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "bike_crash['WEEKDAY'] = bike_crash.apply(lambda row: get_weekday(row['REPORTDATE']), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/JosephNelson/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "bike_crash['WEEK'] = bike_crash.apply(lambda row: get_week_number(row['REPORTDATE']), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_labels = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11aadacf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "bike_crash.groupby([bike_crash.WEEKDAY])['REPORTDATE'].count().plot(kind='bar')\n",
    "ax.set_xticklabels(x_labels, rotation=40, ha='right')\n",
    "ax.set_xlabel('')\n",
    "ax.set_ylabel('Bicycle Crashes', size=12)\n",
    "plt.suptitle(\"Don't Ride on Friday\", y=1.03, fontsize=16)\n",
    "plt.title(\"DC Bicycle Accidents by Day of Week, 2016-2018\", y=1.03, size=12)\n",
    "plt.style.use('ggplot')\n",
    "plt.savefig('./img/crashes_day-of_week_new.png', dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_hour(datetime_info):\n",
    "    return datetime_info.hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/JosephNelson/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "bike_crash['hour'] = bike_crash['REPORTDATE'].apply(get_hour)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5     295\n",
       "1     147\n",
       "2     134\n",
       "0     132\n",
       "23    121\n",
       "Name: hour, dtype: int64"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bike_crash['hour'].value_counts().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>CRIMEID</th>\n",
       "      <th>CCN</th>\n",
       "      <th>ROUTEID</th>\n",
       "      <th>MEASURE</th>\n",
       "      <th>OFFSET</th>\n",
       "      <th>STREETSEGID</th>\n",
       "      <th>ROADWAYSEGID</th>\n",
       "      <th>...</th>\n",
       "      <th>NEARESTINTROUTEID</th>\n",
       "      <th>NEARESTINTSTREETNAME</th>\n",
       "      <th>OFFINTERSECTION</th>\n",
       "      <th>INTAPPROACHDIRECTION</th>\n",
       "      <th>LOCATIONERROR</th>\n",
       "      <th>LASTUPDATEDATE</th>\n",
       "      <th>MPDLATITUDE</th>\n",
       "      <th>MPDLONGITUDE</th>\n",
       "      <th>MPDGEOX</th>\n",
       "      <th>MPDGEOY</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>REPORTDATE</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-12-07 00:40:55</th>\n",
       "      <td>-77.050114</td>\n",
       "      <td>38.902534</td>\n",
       "      <td>71146726</td>\n",
       "      <td>27881971</td>\n",
       "      <td>18207166</td>\n",
       "      <td>11050892</td>\n",
       "      <td>3558.513</td>\n",
       "      <td>0.291249</td>\n",
       "      <td>4361.0</td>\n",
       "      <td>4896.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11091262</td>\n",
       "      <td>WASHINGTON CIR NW</td>\n",
       "      <td>48.562970</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.902952</td>\n",
       "      <td>-77.050653</td>\n",
       "      <td>395653.23</td>\n",
       "      <td>137187.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 01:17:14</th>\n",
       "      <td>-77.020878</td>\n",
       "      <td>38.966977</td>\n",
       "      <td>71146727</td>\n",
       "      <td>27881987</td>\n",
       "      <td>18207133</td>\n",
       "      <td>47017472</td>\n",
       "      <td>51.480</td>\n",
       "      <td>15.415998</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>24168.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.967108</td>\n",
       "      <td>-77.020875</td>\n",
       "      <td>398190.95</td>\n",
       "      <td>144355.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 01:29:21</th>\n",
       "      <td>-77.027671</td>\n",
       "      <td>38.965394</td>\n",
       "      <td>71146728</td>\n",
       "      <td>27881996</td>\n",
       "      <td>18207265</td>\n",
       "      <td>11040042</td>\n",
       "      <td>5493.144</td>\n",
       "      <td>34.930714</td>\n",
       "      <td>468.0</td>\n",
       "      <td>714.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11076242</td>\n",
       "      <td>RITTENHOUSE ST NW</td>\n",
       "      <td>46.920539</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.965363</td>\n",
       "      <td>-77.027575</td>\n",
       "      <td>397636.94</td>\n",
       "      <td>144161.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 01:29:52</th>\n",
       "      <td>-77.014241</td>\n",
       "      <td>38.892047</td>\n",
       "      <td>71146729</td>\n",
       "      <td>27881997</td>\n",
       "      <td>18207122</td>\n",
       "      <td>15048463</td>\n",
       "      <td>4123.837</td>\n",
       "      <td>0.004854</td>\n",
       "      <td>5435.0</td>\n",
       "      <td>2444.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11025352</td>\n",
       "      <td>CONSTITUTION AVE NW</td>\n",
       "      <td>59.489242</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.892609</td>\n",
       "      <td>-77.014364</td>\n",
       "      <td>398764.77</td>\n",
       "      <td>136021.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 01:32:08</th>\n",
       "      <td>-77.006422</td>\n",
       "      <td>38.896876</td>\n",
       "      <td>71146730</td>\n",
       "      <td>27882001</td>\n",
       "      <td>18207230</td>\n",
       "      <td>12024732A</td>\n",
       "      <td>122.172</td>\n",
       "      <td>77.282064</td>\n",
       "      <td>15656.0</td>\n",
       "      <td>40059.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12024732</td>\n",
       "      <td>COLUMBUS CIR NE</td>\n",
       "      <td>45.195056</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.896056</td>\n",
       "      <td>-77.005880</td>\n",
       "      <td>399463.98</td>\n",
       "      <td>136632.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 01:47:09</th>\n",
       "      <td>-76.980680</td>\n",
       "      <td>38.847127</td>\n",
       "      <td>71146731</td>\n",
       "      <td>27882007</td>\n",
       "      <td>18207252</td>\n",
       "      <td>58022102</td>\n",
       "      <td>13.087</td>\n",
       "      <td>11.267918</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>36080.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13082352</td>\n",
       "      <td>STANTON RD SE</td>\n",
       "      <td>162.301712</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.846414</td>\n",
       "      <td>-76.982003</td>\n",
       "      <td>401681.01</td>\n",
       "      <td>131024.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 01:53:30</th>\n",
       "      <td>-77.085636</td>\n",
       "      <td>38.938234</td>\n",
       "      <td>71146732</td>\n",
       "      <td>27882009</td>\n",
       "      <td>18207185</td>\n",
       "      <td>11063762</td>\n",
       "      <td>1207.181</td>\n",
       "      <td>0.000949</td>\n",
       "      <td>5648.0</td>\n",
       "      <td>7390.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11090702</td>\n",
       "      <td>WARD CIR NW</td>\n",
       "      <td>1.429082</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.937586</td>\n",
       "      <td>-77.086169</td>\n",
       "      <td>392575.79</td>\n",
       "      <td>141152.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 02:00:46</th>\n",
       "      <td>-77.003896</td>\n",
       "      <td>38.908602</td>\n",
       "      <td>71146733</td>\n",
       "      <td>27882012</td>\n",
       "      <td>18206458</td>\n",
       "      <td>12036722</td>\n",
       "      <td>509.715</td>\n",
       "      <td>26.410669</td>\n",
       "      <td>5265.0</td>\n",
       "      <td>13687.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12064672</td>\n",
       "      <td>NEW YORK AVE NE</td>\n",
       "      <td>17.354859</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.909047</td>\n",
       "      <td>-77.004536</td>\n",
       "      <td>399674.91</td>\n",
       "      <td>137882.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 04:53:56</th>\n",
       "      <td>-77.012676</td>\n",
       "      <td>38.884747</td>\n",
       "      <td>71146734</td>\n",
       "      <td>27882025</td>\n",
       "      <td>18207296</td>\n",
       "      <td>15048463</td>\n",
       "      <td>3287.919</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>22201.0</td>\n",
       "      <td>...</td>\n",
       "      <td>14047972</td>\n",
       "      <td>INDEPENDENCE AVE SW</td>\n",
       "      <td>53.919805</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.887409</td>\n",
       "      <td>-77.014654</td>\n",
       "      <td>398900.39</td>\n",
       "      <td>135211.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 02:10:25</th>\n",
       "      <td>-77.059165</td>\n",
       "      <td>38.905072</td>\n",
       "      <td>71146736</td>\n",
       "      <td>27882030</td>\n",
       "      <td>18207292</td>\n",
       "      <td>11003002</td>\n",
       "      <td>450.730</td>\n",
       "      <td>12.425027</td>\n",
       "      <td>6784.0</td>\n",
       "      <td>34507.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11057852</td>\n",
       "      <td>M ST NW</td>\n",
       "      <td>3.129437</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.905244</td>\n",
       "      <td>-77.059152</td>\n",
       "      <td>394855.97</td>\n",
       "      <td>137468.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 02:19:04</th>\n",
       "      <td>-76.993756</td>\n",
       "      <td>38.896363</td>\n",
       "      <td>71146737</td>\n",
       "      <td>27882035</td>\n",
       "      <td>18207303</td>\n",
       "      <td>12000902</td>\n",
       "      <td>727.293</td>\n",
       "      <td>15.295125</td>\n",
       "      <td>10332.0</td>\n",
       "      <td>4817.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12031332</td>\n",
       "      <td>E ST NE</td>\n",
       "      <td>98.675315</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.896317</td>\n",
       "      <td>-76.992634</td>\n",
       "      <td>400557.15</td>\n",
       "      <td>136500.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 02:28:12</th>\n",
       "      <td>-77.008482</td>\n",
       "      <td>38.925729</td>\n",
       "      <td>71146738</td>\n",
       "      <td>27882040</td>\n",
       "      <td>18207260</td>\n",
       "      <td>47002392</td>\n",
       "      <td>19.579</td>\n",
       "      <td>6.354480</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>22574.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12040432</td>\n",
       "      <td>GIRARD ST NE 1</td>\n",
       "      <td>40.286241</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.925987</td>\n",
       "      <td>-77.008935</td>\n",
       "      <td>399271.04</td>\n",
       "      <td>139760.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 02:30:26</th>\n",
       "      <td>-76.999146</td>\n",
       "      <td>38.899854</td>\n",
       "      <td>71146739</td>\n",
       "      <td>27882041</td>\n",
       "      <td>18207315</td>\n",
       "      <td>47062572</td>\n",
       "      <td>31.526</td>\n",
       "      <td>12.275277</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>28809.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12000502</td>\n",
       "      <td>5TH ST NE 1</td>\n",
       "      <td>39.860085</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.900109</td>\n",
       "      <td>-76.999197</td>\n",
       "      <td>400074.16</td>\n",
       "      <td>136900.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 02:59:48</th>\n",
       "      <td>-77.032743</td>\n",
       "      <td>38.929739</td>\n",
       "      <td>71146740</td>\n",
       "      <td>27882067</td>\n",
       "      <td>18207326</td>\n",
       "      <td>11001402</td>\n",
       "      <td>4389.781</td>\n",
       "      <td>22.779542</td>\n",
       "      <td>763.0</td>\n",
       "      <td>35712.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11052322</td>\n",
       "      <td>KENYON ST NW</td>\n",
       "      <td>37.180879</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.929908</td>\n",
       "      <td>-77.032634</td>\n",
       "      <td>397183.93</td>\n",
       "      <td>140206.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 03:06:38</th>\n",
       "      <td>-77.033650</td>\n",
       "      <td>38.892179</td>\n",
       "      <td>71146741</td>\n",
       "      <td>27882071</td>\n",
       "      <td>18207060</td>\n",
       "      <td>11001502</td>\n",
       "      <td>312.257</td>\n",
       "      <td>8.278982</td>\n",
       "      <td>759.0</td>\n",
       "      <td>1582.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11025352</td>\n",
       "      <td>CONSTITUTION AVE NW</td>\n",
       "      <td>12.288231</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.892175</td>\n",
       "      <td>-77.033743</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 03:12:12</th>\n",
       "      <td>-77.021923</td>\n",
       "      <td>38.892292</td>\n",
       "      <td>71146742</td>\n",
       "      <td>27882074</td>\n",
       "      <td>18207224</td>\n",
       "      <td>11000702</td>\n",
       "      <td>294.793</td>\n",
       "      <td>0.315303</td>\n",
       "      <td>772.0</td>\n",
       "      <td>1591.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11025352</td>\n",
       "      <td>CONSTITUTION AVE NW</td>\n",
       "      <td>23.015667</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.892285</td>\n",
       "      <td>-77.021917</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 03:25:39</th>\n",
       "      <td>-76.946684</td>\n",
       "      <td>38.901363</td>\n",
       "      <td>71146743</td>\n",
       "      <td>27882078</td>\n",
       "      <td>18207305</td>\n",
       "      <td>12051872</td>\n",
       "      <td>489.302</td>\n",
       "      <td>23.005560</td>\n",
       "      <td>9920.0</td>\n",
       "      <td>7515.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12044072</td>\n",
       "      <td>HAYES ST NE</td>\n",
       "      <td>67.837538</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.901214</td>\n",
       "      <td>-76.946948</td>\n",
       "      <td>404608.81</td>\n",
       "      <td>137073.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 03:32:00</th>\n",
       "      <td>-76.995539</td>\n",
       "      <td>38.879291</td>\n",
       "      <td>71146744</td>\n",
       "      <td>27882082</td>\n",
       "      <td>18207311</td>\n",
       "      <td>13047772</td>\n",
       "      <td>1059.445</td>\n",
       "      <td>17.536074</td>\n",
       "      <td>12178.0</td>\n",
       "      <td>12505.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13000702</td>\n",
       "      <td>7TH ST SE 1</td>\n",
       "      <td>53.422931</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.879621</td>\n",
       "      <td>-76.995583</td>\n",
       "      <td>400387.23</td>\n",
       "      <td>134623.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 03:34:13</th>\n",
       "      <td>-77.060294</td>\n",
       "      <td>38.892159</td>\n",
       "      <td>71146745</td>\n",
       "      <td>27882083</td>\n",
       "      <td>18207276</td>\n",
       "      <td>15048431</td>\n",
       "      <td>434.290</td>\n",
       "      <td>4.548844</td>\n",
       "      <td>2381.0</td>\n",
       "      <td>39471.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.892047</td>\n",
       "      <td>-77.061659</td>\n",
       "      <td>394768.57</td>\n",
       "      <td>136040.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 03:57:57</th>\n",
       "      <td>-77.014241</td>\n",
       "      <td>38.892047</td>\n",
       "      <td>71146746</td>\n",
       "      <td>27882097</td>\n",
       "      <td>18207181</td>\n",
       "      <td>15048463</td>\n",
       "      <td>4123.837</td>\n",
       "      <td>0.004854</td>\n",
       "      <td>5435.0</td>\n",
       "      <td>2444.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11026912</td>\n",
       "      <td>D ST NW</td>\n",
       "      <td>70.123282</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.894674</td>\n",
       "      <td>-77.015037</td>\n",
       "      <td>398764.77</td>\n",
       "      <td>136021.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 04:26:39</th>\n",
       "      <td>-76.916472</td>\n",
       "      <td>38.889239</td>\n",
       "      <td>71146747</td>\n",
       "      <td>27882116</td>\n",
       "      <td>18207237</td>\n",
       "      <td>47084042</td>\n",
       "      <td>21.577</td>\n",
       "      <td>18.682669</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>31057.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13005802</td>\n",
       "      <td>58TH ST SE</td>\n",
       "      <td>220.368685</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.888598</td>\n",
       "      <td>-76.914969</td>\n",
       "      <td>407247.06</td>\n",
       "      <td>135694.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 00:58:50</th>\n",
       "      <td>-76.935610</td>\n",
       "      <td>38.882665</td>\n",
       "      <td>71146749</td>\n",
       "      <td>27881976</td>\n",
       "      <td>18207258</td>\n",
       "      <td>13004602</td>\n",
       "      <td>321.522</td>\n",
       "      <td>18.179638</td>\n",
       "      <td>7317.0</td>\n",
       "      <td>21381.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13034382</td>\n",
       "      <td>F ST SE</td>\n",
       "      <td>52.334298</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.882347</td>\n",
       "      <td>-76.936096</td>\n",
       "      <td>405594.56</td>\n",
       "      <td>134965.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 00:13:47</th>\n",
       "      <td>-77.004320</td>\n",
       "      <td>38.908782</td>\n",
       "      <td>71146750</td>\n",
       "      <td>27881955</td>\n",
       "      <td>18207190</td>\n",
       "      <td>12036722</td>\n",
       "      <td>467.832</td>\n",
       "      <td>8.816607</td>\n",
       "      <td>5265.0</td>\n",
       "      <td>13687.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12064672</td>\n",
       "      <td>NEW YORK AVE NE</td>\n",
       "      <td>28.865064</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.908844</td>\n",
       "      <td>-77.004267</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 01:48:22</th>\n",
       "      <td>-76.981821</td>\n",
       "      <td>38.866506</td>\n",
       "      <td>71146751</td>\n",
       "      <td>27882008</td>\n",
       "      <td>18207164</td>\n",
       "      <td>47067422</td>\n",
       "      <td>35.114</td>\n",
       "      <td>17.040604</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>29308.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13001602</td>\n",
       "      <td>16TH ST SE</td>\n",
       "      <td>58.820680</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.866001</td>\n",
       "      <td>-76.981986</td>\n",
       "      <td>401578.44</td>\n",
       "      <td>133169.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 02:17:28</th>\n",
       "      <td>-77.088631</td>\n",
       "      <td>38.938834</td>\n",
       "      <td>71146754</td>\n",
       "      <td>27882034</td>\n",
       "      <td>18207091</td>\n",
       "      <td>58008032</td>\n",
       "      <td>60.062</td>\n",
       "      <td>33.856364</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>32058.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.939082</td>\n",
       "      <td>-77.088415</td>\n",
       "      <td>392334.76</td>\n",
       "      <td>141247.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 19:25:43</th>\n",
       "      <td>-77.017506</td>\n",
       "      <td>38.882300</td>\n",
       "      <td>71146761</td>\n",
       "      <td>27882847</td>\n",
       "      <td>18207327</td>\n",
       "      <td>15048461</td>\n",
       "      <td>1840.718</td>\n",
       "      <td>1.254004</td>\n",
       "      <td>6364.0</td>\n",
       "      <td>5713.0</td>\n",
       "      <td>...</td>\n",
       "      <td>14000402</td>\n",
       "      <td>4TH ST SW</td>\n",
       "      <td>5.126498</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.882304</td>\n",
       "      <td>-77.017502</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 20:23:04</th>\n",
       "      <td>-77.027936</td>\n",
       "      <td>38.962191</td>\n",
       "      <td>71146762</td>\n",
       "      <td>27882883</td>\n",
       "      <td>18207721</td>\n",
       "      <td>11040042</td>\n",
       "      <td>5136.761</td>\n",
       "      <td>30.844586</td>\n",
       "      <td>15302.0</td>\n",
       "      <td>39037.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11069682</td>\n",
       "      <td>PEABODY ST NW</td>\n",
       "      <td>56.828924</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.962191</td>\n",
       "      <td>-77.027957</td>\n",
       "      <td>397548.29</td>\n",
       "      <td>143810.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 09:29:31</th>\n",
       "      <td>-77.026841</td>\n",
       "      <td>38.983084</td>\n",
       "      <td>71146763</td>\n",
       "      <td>27882548</td>\n",
       "      <td>18207396</td>\n",
       "      <td>47015182</td>\n",
       "      <td>160.046</td>\n",
       "      <td>5.613183</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>23934.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11040042</td>\n",
       "      <td>GEORGIA AVE NW</td>\n",
       "      <td>15.505811</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.982995</td>\n",
       "      <td>-77.026646</td>\n",
       "      <td>397678.95</td>\n",
       "      <td>146124.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 21:17:26</th>\n",
       "      <td>-76.941872</td>\n",
       "      <td>38.904313</td>\n",
       "      <td>71146765</td>\n",
       "      <td>27882901</td>\n",
       "      <td>18207724</td>\n",
       "      <td>12051802</td>\n",
       "      <td>1817.669</td>\n",
       "      <td>20.941525</td>\n",
       "      <td>13224.0</td>\n",
       "      <td>17269.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12053822</td>\n",
       "      <td>LANE PL NE</td>\n",
       "      <td>17.286352</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.904630</td>\n",
       "      <td>-76.941306</td>\n",
       "      <td>405027.15</td>\n",
       "      <td>137399.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 05:59:11</th>\n",
       "      <td>-76.971520</td>\n",
       "      <td>38.919327</td>\n",
       "      <td>71146766</td>\n",
       "      <td>27882547</td>\n",
       "      <td>18207430</td>\n",
       "      <td>58013092</td>\n",
       "      <td>79.228</td>\n",
       "      <td>22.374084</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>32722.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12015992</td>\n",
       "      <td>BLADENSBURG RD NE</td>\n",
       "      <td>59.679733</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.918452</td>\n",
       "      <td>-76.971559</td>\n",
       "      <td>402490.29</td>\n",
       "      <td>139059.72</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>2018-12-07 16:49:45</th>\n",
       "      <td>-77.010963</td>\n",
       "      <td>38.903794</td>\n",
       "      <td>71146809</td>\n",
       "      <td>27882768</td>\n",
       "      <td>18207607</td>\n",
       "      <td>47073422</td>\n",
       "      <td>34.630</td>\n",
       "      <td>6.541289</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>29933.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.878656</td>\n",
       "      <td>-77.011145</td>\n",
       "      <td>399049.33</td>\n",
       "      <td>137319.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 17:08:58</th>\n",
       "      <td>-76.959445</td>\n",
       "      <td>38.928869</td>\n",
       "      <td>71146810</td>\n",
       "      <td>27882775</td>\n",
       "      <td>18207620</td>\n",
       "      <td>58021772</td>\n",
       "      <td>39.339</td>\n",
       "      <td>15.098116</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>36027.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.928866</td>\n",
       "      <td>-76.959269</td>\n",
       "      <td>403531.77</td>\n",
       "      <td>140110.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 17:49:30</th>\n",
       "      <td>-77.047234</td>\n",
       "      <td>38.917171</td>\n",
       "      <td>71146811</td>\n",
       "      <td>27882796</td>\n",
       "      <td>18207626</td>\n",
       "      <td>47023692</td>\n",
       "      <td>23.329</td>\n",
       "      <td>15.578763</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>24811.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11025152</td>\n",
       "      <td>CONNECTICUT AVE NW</td>\n",
       "      <td>41.810290</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.916887</td>\n",
       "      <td>-77.046813</td>\n",
       "      <td>395909.69</td>\n",
       "      <td>138797.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 17:59:22</th>\n",
       "      <td>-77.079898</td>\n",
       "      <td>38.948292</td>\n",
       "      <td>71146812</td>\n",
       "      <td>27882797</td>\n",
       "      <td>18207650</td>\n",
       "      <td>11094052</td>\n",
       "      <td>5419.449</td>\n",
       "      <td>1.892492</td>\n",
       "      <td>2676.0</td>\n",
       "      <td>3298.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11009492</td>\n",
       "      <td>ALBEMARLE ST NW 1</td>\n",
       "      <td>46.004692</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.948278</td>\n",
       "      <td>-77.079916</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 18:04:22</th>\n",
       "      <td>-76.947853</td>\n",
       "      <td>38.904082</td>\n",
       "      <td>71146813</td>\n",
       "      <td>27882799</td>\n",
       "      <td>18207524</td>\n",
       "      <td>58018932</td>\n",
       "      <td>33.284</td>\n",
       "      <td>22.667452</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>33436.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12049722</td>\n",
       "      <td>JAY ST NE</td>\n",
       "      <td>25.064589</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.904172</td>\n",
       "      <td>-76.947832</td>\n",
       "      <td>404541.98</td>\n",
       "      <td>137345.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 18:04:34</th>\n",
       "      <td>-77.039999</td>\n",
       "      <td>38.894343</td>\n",
       "      <td>71146814</td>\n",
       "      <td>27882800</td>\n",
       "      <td>18207644</td>\n",
       "      <td>11026912</td>\n",
       "      <td>1204.171</td>\n",
       "      <td>41.911658</td>\n",
       "      <td>6482.0</td>\n",
       "      <td>6994.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11001702</td>\n",
       "      <td>17TH ST NW</td>\n",
       "      <td>128.613699</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.893534</td>\n",
       "      <td>-77.040533</td>\n",
       "      <td>396530.26</td>\n",
       "      <td>136235.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 18:58:45</th>\n",
       "      <td>-77.046742</td>\n",
       "      <td>38.916775</td>\n",
       "      <td>71146815</td>\n",
       "      <td>27882832</td>\n",
       "      <td>18207676</td>\n",
       "      <td>11025152</td>\n",
       "      <td>1851.550</td>\n",
       "      <td>0.003725</td>\n",
       "      <td>1866.0</td>\n",
       "      <td>2465.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11024632</td>\n",
       "      <td>COLUMBIA RD NW</td>\n",
       "      <td>88.206290</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.916394</td>\n",
       "      <td>-77.045470</td>\n",
       "      <td>395946.56</td>\n",
       "      <td>138767.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 15:31:19</th>\n",
       "      <td>-77.017828</td>\n",
       "      <td>38.912613</td>\n",
       "      <td>71146816</td>\n",
       "      <td>27882723</td>\n",
       "      <td>18207531</td>\n",
       "      <td>11074162</td>\n",
       "      <td>761.270</td>\n",
       "      <td>16.262355</td>\n",
       "      <td>13205.0</td>\n",
       "      <td>8499.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11064282</td>\n",
       "      <td>NEW JERSEY AVE NW</td>\n",
       "      <td>19.075246</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.912774</td>\n",
       "      <td>-77.017320</td>\n",
       "      <td>398453.91</td>\n",
       "      <td>138320.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 19:11:58</th>\n",
       "      <td>-77.022598</td>\n",
       "      <td>38.927622</td>\n",
       "      <td>71146817</td>\n",
       "      <td>27882837</td>\n",
       "      <td>18207672</td>\n",
       "      <td>47001032</td>\n",
       "      <td>0.263</td>\n",
       "      <td>14.939749</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>22345.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11045762</td>\n",
       "      <td>HOBART PL NW</td>\n",
       "      <td>43.875991</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.927903</td>\n",
       "      <td>-77.023145</td>\n",
       "      <td>398025.86</td>\n",
       "      <td>139969.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 19:32:29</th>\n",
       "      <td>-77.031368</td>\n",
       "      <td>38.896117</td>\n",
       "      <td>71146818</td>\n",
       "      <td>27882853</td>\n",
       "      <td>18207698</td>\n",
       "      <td>11069812</td>\n",
       "      <td>2069.916</td>\n",
       "      <td>28.649062</td>\n",
       "      <td>5719.0</td>\n",
       "      <td>6258.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11001402</td>\n",
       "      <td>14TH ST NW</td>\n",
       "      <td>78.377993</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.896061</td>\n",
       "      <td>-77.031060</td>\n",
       "      <td>397278.55</td>\n",
       "      <td>136502.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 19:46:45</th>\n",
       "      <td>-77.006037</td>\n",
       "      <td>38.826397</td>\n",
       "      <td>71146819</td>\n",
       "      <td>27882864</td>\n",
       "      <td>18207696</td>\n",
       "      <td>47039132</td>\n",
       "      <td>159.425</td>\n",
       "      <td>11.930484</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>26393.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13033152</td>\n",
       "      <td>ELMIRA ST SE 1</td>\n",
       "      <td>40.453021</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.826412</td>\n",
       "      <td>-77.005900</td>\n",
       "      <td>399487.66</td>\n",
       "      <td>128736.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 19:57:43</th>\n",
       "      <td>-77.030458</td>\n",
       "      <td>38.906381</td>\n",
       "      <td>71146820</td>\n",
       "      <td>27882870</td>\n",
       "      <td>18207679</td>\n",
       "      <td>47066472</td>\n",
       "      <td>0.000</td>\n",
       "      <td>46.893288</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>29543.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.906325</td>\n",
       "      <td>-77.031145</td>\n",
       "      <td>397313.44</td>\n",
       "      <td>137599.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 20:06:43</th>\n",
       "      <td>-77.046638</td>\n",
       "      <td>38.920040</td>\n",
       "      <td>71146821</td>\n",
       "      <td>27882875</td>\n",
       "      <td>18207719</td>\n",
       "      <td>11002002</td>\n",
       "      <td>2623.305</td>\n",
       "      <td>3.986066</td>\n",
       "      <td>4183.0</td>\n",
       "      <td>1246.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11011502</td>\n",
       "      <td>ASHMEAD PL NW</td>\n",
       "      <td>61.065055</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.920046</td>\n",
       "      <td>-77.046593</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 20:13:23</th>\n",
       "      <td>-76.997571</td>\n",
       "      <td>38.824150</td>\n",
       "      <td>71146822</td>\n",
       "      <td>27882878</td>\n",
       "      <td>18207714</td>\n",
       "      <td>13081512</td>\n",
       "      <td>454.549</td>\n",
       "      <td>17.597075</td>\n",
       "      <td>2922.0</td>\n",
       "      <td>3476.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13031952</td>\n",
       "      <td>EAST MEADOWS CT SE</td>\n",
       "      <td>55.931051</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.824220</td>\n",
       "      <td>-76.997370</td>\n",
       "      <td>400200.22</td>\n",
       "      <td>128498.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 20:15:26</th>\n",
       "      <td>-76.996169</td>\n",
       "      <td>38.901538</td>\n",
       "      <td>71146823</td>\n",
       "      <td>27882879</td>\n",
       "      <td>18207614</td>\n",
       "      <td>12000702</td>\n",
       "      <td>1279.136</td>\n",
       "      <td>18.117240</td>\n",
       "      <td>11113.0</td>\n",
       "      <td>5043.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12047772</td>\n",
       "      <td>I ST NE</td>\n",
       "      <td>28.854390</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>400350.61</td>\n",
       "      <td>137075.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 21:19:04</th>\n",
       "      <td>-77.070309</td>\n",
       "      <td>38.953981</td>\n",
       "      <td>71146824</td>\n",
       "      <td>27882903</td>\n",
       "      <td>18207757</td>\n",
       "      <td>11033992</td>\n",
       "      <td>93.662</td>\n",
       "      <td>25.832968</td>\n",
       "      <td>3789.0</td>\n",
       "      <td>17519.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11003602</td>\n",
       "      <td>36TH ST NW</td>\n",
       "      <td>55.625171</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.954474</td>\n",
       "      <td>-77.069589</td>\n",
       "      <td>393905.87</td>\n",
       "      <td>142873.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 23:59:12</th>\n",
       "      <td>-77.076776</td>\n",
       "      <td>38.965950</td>\n",
       "      <td>71146825</td>\n",
       "      <td>27882990</td>\n",
       "      <td>18207880</td>\n",
       "      <td>11065262</td>\n",
       "      <td>1892.163</td>\n",
       "      <td>13.696079</td>\n",
       "      <td>1176.0</td>\n",
       "      <td>522.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11025152</td>\n",
       "      <td>CONNECTICUT AVE NW</td>\n",
       "      <td>32.753267</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.965892</td>\n",
       "      <td>-77.076518</td>\n",
       "      <td>393352.10</td>\n",
       "      <td>144215.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 21:54:58</th>\n",
       "      <td>-76.972983</td>\n",
       "      <td>38.919968</td>\n",
       "      <td>71146826</td>\n",
       "      <td>27882920</td>\n",
       "      <td>18207790</td>\n",
       "      <td>12008972</td>\n",
       "      <td>189.720</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2893.0</td>\n",
       "      <td>20761.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12073712</td>\n",
       "      <td>QUEENS CHAPEL RD NE</td>\n",
       "      <td>5.840167</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.919974</td>\n",
       "      <td>-76.972916</td>\n",
       "      <td>402343.09</td>\n",
       "      <td>139121.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 22:19:12</th>\n",
       "      <td>-76.914559</td>\n",
       "      <td>38.896920</td>\n",
       "      <td>71146827</td>\n",
       "      <td>27882929</td>\n",
       "      <td>18207780</td>\n",
       "      <td>12031982</td>\n",
       "      <td>629.278</td>\n",
       "      <td>19.381764</td>\n",
       "      <td>3308.0</td>\n",
       "      <td>361.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12006002</td>\n",
       "      <td>60TH ST NE</td>\n",
       "      <td>49.700767</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.896789</td>\n",
       "      <td>-76.914715</td>\n",
       "      <td>407398.27</td>\n",
       "      <td>136552.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 22:23:37</th>\n",
       "      <td>-76.979010</td>\n",
       "      <td>38.868879</td>\n",
       "      <td>71146828</td>\n",
       "      <td>27882931</td>\n",
       "      <td>18207799</td>\n",
       "      <td>13001802</td>\n",
       "      <td>1222.177</td>\n",
       "      <td>22.694716</td>\n",
       "      <td>6271.0</td>\n",
       "      <td>218.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13061162</td>\n",
       "      <td>MINNESOTA AVE SE</td>\n",
       "      <td>9.867796</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.869297</td>\n",
       "      <td>-76.979101</td>\n",
       "      <td>401799.08</td>\n",
       "      <td>133450.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 22:27:28</th>\n",
       "      <td>-77.021252</td>\n",
       "      <td>38.965424</td>\n",
       "      <td>71146829</td>\n",
       "      <td>27882933</td>\n",
       "      <td>18207812</td>\n",
       "      <td>47056412</td>\n",
       "      <td>15.883</td>\n",
       "      <td>7.522500</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>28175.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11077352</td>\n",
       "      <td>ROXBORO PL NW 1</td>\n",
       "      <td>15.866784</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.965417</td>\n",
       "      <td>-77.021163</td>\n",
       "      <td>398165.96</td>\n",
       "      <td>144167.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 22:28:48</th>\n",
       "      <td>-76.945778</td>\n",
       "      <td>38.865639</td>\n",
       "      <td>71146830</td>\n",
       "      <td>27882935</td>\n",
       "      <td>18207797</td>\n",
       "      <td>13037372</td>\n",
       "      <td>552.869</td>\n",
       "      <td>20.616877</td>\n",
       "      <td>9814.0</td>\n",
       "      <td>14510.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13015082</td>\n",
       "      <td>BELT RD SE</td>\n",
       "      <td>126.739457</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.865632</td>\n",
       "      <td>-76.945538</td>\n",
       "      <td>404726.49</td>\n",
       "      <td>133091.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 22:47:27</th>\n",
       "      <td>-77.028476</td>\n",
       "      <td>38.922438</td>\n",
       "      <td>71146831</td>\n",
       "      <td>27882947</td>\n",
       "      <td>10208809</td>\n",
       "      <td>11024112</td>\n",
       "      <td>124.678</td>\n",
       "      <td>28.603756</td>\n",
       "      <td>13222.0</td>\n",
       "      <td>8433.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11001202</td>\n",
       "      <td>12TH ST NW</td>\n",
       "      <td>47.128520</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.922173</td>\n",
       "      <td>-77.028471</td>\n",
       "      <td>397531.11</td>\n",
       "      <td>139367.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 23:20:23</th>\n",
       "      <td>-76.993995</td>\n",
       "      <td>38.936900</td>\n",
       "      <td>71146833</td>\n",
       "      <td>27882963</td>\n",
       "      <td>18207814</td>\n",
       "      <td>47049722</td>\n",
       "      <td>38.102</td>\n",
       "      <td>9.156411</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>27490.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12001002</td>\n",
       "      <td>10TH ST NE</td>\n",
       "      <td>20.033211</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.936804</td>\n",
       "      <td>-76.993610</td>\n",
       "      <td>400523.54</td>\n",
       "      <td>140991.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 23:51:26</th>\n",
       "      <td>-76.979863</td>\n",
       "      <td>38.872941</td>\n",
       "      <td>71146834</td>\n",
       "      <td>27882983</td>\n",
       "      <td>18207881</td>\n",
       "      <td>13010403</td>\n",
       "      <td>2836.056</td>\n",
       "      <td>4.362929</td>\n",
       "      <td>14707.0</td>\n",
       "      <td>37934.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-999.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.872901</td>\n",
       "      <td>-76.979833</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 23:55:02</th>\n",
       "      <td>-76.949916</td>\n",
       "      <td>38.861968</td>\n",
       "      <td>71146835</td>\n",
       "      <td>27882986</td>\n",
       "      <td>18207868</td>\n",
       "      <td>58014472</td>\n",
       "      <td>87.946</td>\n",
       "      <td>8.978965</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>32893.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13083462</td>\n",
       "      <td>SUITLAND RD SE</td>\n",
       "      <td>75.541849</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.861349</td>\n",
       "      <td>-76.949853</td>\n",
       "      <td>404343.60</td>\n",
       "      <td>132675.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 18:58:12</th>\n",
       "      <td>-77.053302</td>\n",
       "      <td>38.904010</td>\n",
       "      <td>71148121</td>\n",
       "      <td>27882830</td>\n",
       "      <td>18207661</td>\n",
       "      <td>11002502</td>\n",
       "      <td>770.806</td>\n",
       "      <td>18.593499</td>\n",
       "      <td>6460.0</td>\n",
       "      <td>36104.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11053492</td>\n",
       "      <td>L ST NW</td>\n",
       "      <td>20.395931</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.903483</td>\n",
       "      <td>-77.053433</td>\n",
       "      <td>395358.26</td>\n",
       "      <td>137351.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 04:30:41</th>\n",
       "      <td>-76.987769</td>\n",
       "      <td>38.938505</td>\n",
       "      <td>71148174</td>\n",
       "      <td>27882117</td>\n",
       "      <td>18207374</td>\n",
       "      <td>47083132</td>\n",
       "      <td>20.445</td>\n",
       "      <td>9.609652</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>30955.0</td>\n",
       "      <td>...</td>\n",
       "      <td>12074682</td>\n",
       "      <td>RANDOLPH ST NE 1</td>\n",
       "      <td>22.524642</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.938489</td>\n",
       "      <td>-76.987899</td>\n",
       "      <td>401070.23</td>\n",
       "      <td>141178.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 19:50:04</th>\n",
       "      <td>-76.995198</td>\n",
       "      <td>38.879291</td>\n",
       "      <td>71148176</td>\n",
       "      <td>27882866</td>\n",
       "      <td>18207055</td>\n",
       "      <td>13047772</td>\n",
       "      <td>1089.054</td>\n",
       "      <td>17.103409</td>\n",
       "      <td>12178.0</td>\n",
       "      <td>12505.0</td>\n",
       "      <td>...</td>\n",
       "      <td>13000802</td>\n",
       "      <td>8TH ST SE 1</td>\n",
       "      <td>4.419463</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.879322</td>\n",
       "      <td>-76.994962</td>\n",
       "      <td>400416.84</td>\n",
       "      <td>134622.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-12-07 20:04:01</th>\n",
       "      <td>-77.025431</td>\n",
       "      <td>38.954546</td>\n",
       "      <td>71149119</td>\n",
       "      <td>27882874</td>\n",
       "      <td>18205641</td>\n",
       "      <td>47036632</td>\n",
       "      <td>21.295</td>\n",
       "      <td>4.835877</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>26138.0</td>\n",
       "      <td>...</td>\n",
       "      <td>11000902</td>\n",
       "      <td>9TH ST NW</td>\n",
       "      <td>40.513970</td>\n",
       "      <td>West</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.954165</td>\n",
       "      <td>-77.025624</td>\n",
       "      <td>397795.63</td>\n",
       "      <td>142964.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 53 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             X          Y  OBJECTID   CRIMEID       CCN  \\\n",
       "REPORTDATE                                                                \n",
       "2018-12-07 00:40:55 -77.050114  38.902534  71146726  27881971  18207166   \n",
       "2018-12-07 01:17:14 -77.020878  38.966977  71146727  27881987  18207133   \n",
       "2018-12-07 01:29:21 -77.027671  38.965394  71146728  27881996  18207265   \n",
       "2018-12-07 01:29:52 -77.014241  38.892047  71146729  27881997  18207122   \n",
       "2018-12-07 01:32:08 -77.006422  38.896876  71146730  27882001  18207230   \n",
       "2018-12-07 01:47:09 -76.980680  38.847127  71146731  27882007  18207252   \n",
       "2018-12-07 01:53:30 -77.085636  38.938234  71146732  27882009  18207185   \n",
       "2018-12-07 02:00:46 -77.003896  38.908602  71146733  27882012  18206458   \n",
       "2018-12-07 04:53:56 -77.012676  38.884747  71146734  27882025  18207296   \n",
       "2018-12-07 02:10:25 -77.059165  38.905072  71146736  27882030  18207292   \n",
       "2018-12-07 02:19:04 -76.993756  38.896363  71146737  27882035  18207303   \n",
       "2018-12-07 02:28:12 -77.008482  38.925729  71146738  27882040  18207260   \n",
       "2018-12-07 02:30:26 -76.999146  38.899854  71146739  27882041  18207315   \n",
       "2018-12-07 02:59:48 -77.032743  38.929739  71146740  27882067  18207326   \n",
       "2018-12-07 03:06:38 -77.033650  38.892179  71146741  27882071  18207060   \n",
       "2018-12-07 03:12:12 -77.021923  38.892292  71146742  27882074  18207224   \n",
       "2018-12-07 03:25:39 -76.946684  38.901363  71146743  27882078  18207305   \n",
       "2018-12-07 03:32:00 -76.995539  38.879291  71146744  27882082  18207311   \n",
       "2018-12-07 03:34:13 -77.060294  38.892159  71146745  27882083  18207276   \n",
       "2018-12-07 03:57:57 -77.014241  38.892047  71146746  27882097  18207181   \n",
       "2018-12-07 04:26:39 -76.916472  38.889239  71146747  27882116  18207237   \n",
       "2018-12-07 00:58:50 -76.935610  38.882665  71146749  27881976  18207258   \n",
       "2018-12-07 00:13:47 -77.004320  38.908782  71146750  27881955  18207190   \n",
       "2018-12-07 01:48:22 -76.981821  38.866506  71146751  27882008  18207164   \n",
       "2018-12-07 02:17:28 -77.088631  38.938834  71146754  27882034  18207091   \n",
       "2018-12-07 19:25:43 -77.017506  38.882300  71146761  27882847  18207327   \n",
       "2018-12-07 20:23:04 -77.027936  38.962191  71146762  27882883  18207721   \n",
       "2018-12-07 09:29:31 -77.026841  38.983084  71146763  27882548  18207396   \n",
       "2018-12-07 21:17:26 -76.941872  38.904313  71146765  27882901  18207724   \n",
       "2018-12-07 05:59:11 -76.971520  38.919327  71146766  27882547  18207430   \n",
       "...                        ...        ...       ...       ...       ...   \n",
       "2018-12-07 16:49:45 -77.010963  38.903794  71146809  27882768  18207607   \n",
       "2018-12-07 17:08:58 -76.959445  38.928869  71146810  27882775  18207620   \n",
       "2018-12-07 17:49:30 -77.047234  38.917171  71146811  27882796  18207626   \n",
       "2018-12-07 17:59:22 -77.079898  38.948292  71146812  27882797  18207650   \n",
       "2018-12-07 18:04:22 -76.947853  38.904082  71146813  27882799  18207524   \n",
       "2018-12-07 18:04:34 -77.039999  38.894343  71146814  27882800  18207644   \n",
       "2018-12-07 18:58:45 -77.046742  38.916775  71146815  27882832  18207676   \n",
       "2018-12-07 15:31:19 -77.017828  38.912613  71146816  27882723  18207531   \n",
       "2018-12-07 19:11:58 -77.022598  38.927622  71146817  27882837  18207672   \n",
       "2018-12-07 19:32:29 -77.031368  38.896117  71146818  27882853  18207698   \n",
       "2018-12-07 19:46:45 -77.006037  38.826397  71146819  27882864  18207696   \n",
       "2018-12-07 19:57:43 -77.030458  38.906381  71146820  27882870  18207679   \n",
       "2018-12-07 20:06:43 -77.046638  38.920040  71146821  27882875  18207719   \n",
       "2018-12-07 20:13:23 -76.997571  38.824150  71146822  27882878  18207714   \n",
       "2018-12-07 20:15:26 -76.996169  38.901538  71146823  27882879  18207614   \n",
       "2018-12-07 21:19:04 -77.070309  38.953981  71146824  27882903  18207757   \n",
       "2018-12-07 23:59:12 -77.076776  38.965950  71146825  27882990  18207880   \n",
       "2018-12-07 21:54:58 -76.972983  38.919968  71146826  27882920  18207790   \n",
       "2018-12-07 22:19:12 -76.914559  38.896920  71146827  27882929  18207780   \n",
       "2018-12-07 22:23:37 -76.979010  38.868879  71146828  27882931  18207799   \n",
       "2018-12-07 22:27:28 -77.021252  38.965424  71146829  27882933  18207812   \n",
       "2018-12-07 22:28:48 -76.945778  38.865639  71146830  27882935  18207797   \n",
       "2018-12-07 22:47:27 -77.028476  38.922438  71146831  27882947  10208809   \n",
       "2018-12-07 23:20:23 -76.993995  38.936900  71146833  27882963  18207814   \n",
       "2018-12-07 23:51:26 -76.979863  38.872941  71146834  27882983  18207881   \n",
       "2018-12-07 23:55:02 -76.949916  38.861968  71146835  27882986  18207868   \n",
       "2018-12-07 18:58:12 -77.053302  38.904010  71148121  27882830  18207661   \n",
       "2018-12-07 04:30:41 -76.987769  38.938505  71148174  27882117  18207374   \n",
       "2018-12-07 19:50:04 -76.995198  38.879291  71148176  27882866  18207055   \n",
       "2018-12-07 20:04:01 -77.025431  38.954546  71149119  27882874  18205641   \n",
       "\n",
       "                       ROUTEID   MEASURE     OFFSET  STREETSEGID  \\\n",
       "REPORTDATE                                                         \n",
       "2018-12-07 00:40:55   11050892  3558.513   0.291249       4361.0   \n",
       "2018-12-07 01:17:14   47017472    51.480  15.415998         -9.0   \n",
       "2018-12-07 01:29:21   11040042  5493.144  34.930714        468.0   \n",
       "2018-12-07 01:29:52   15048463  4123.837   0.004854       5435.0   \n",
       "2018-12-07 01:32:08  12024732A   122.172  77.282064      15656.0   \n",
       "2018-12-07 01:47:09   58022102    13.087  11.267918         -9.0   \n",
       "2018-12-07 01:53:30   11063762  1207.181   0.000949       5648.0   \n",
       "2018-12-07 02:00:46   12036722   509.715  26.410669       5265.0   \n",
       "2018-12-07 04:53:56   15048463  3287.919   0.000000         -9.0   \n",
       "2018-12-07 02:10:25   11003002   450.730  12.425027       6784.0   \n",
       "2018-12-07 02:19:04   12000902   727.293  15.295125      10332.0   \n",
       "2018-12-07 02:28:12   47002392    19.579   6.354480         -9.0   \n",
       "2018-12-07 02:30:26   47062572    31.526  12.275277         -9.0   \n",
       "2018-12-07 02:59:48   11001402  4389.781  22.779542        763.0   \n",
       "2018-12-07 03:06:38   11001502   312.257   8.278982        759.0   \n",
       "2018-12-07 03:12:12   11000702   294.793   0.315303        772.0   \n",
       "2018-12-07 03:25:39   12051872   489.302  23.005560       9920.0   \n",
       "2018-12-07 03:32:00   13047772  1059.445  17.536074      12178.0   \n",
       "2018-12-07 03:34:13   15048431   434.290   4.548844       2381.0   \n",
       "2018-12-07 03:57:57   15048463  4123.837   0.004854       5435.0   \n",
       "2018-12-07 04:26:39   47084042    21.577  18.682669         -9.0   \n",
       "2018-12-07 00:58:50   13004602   321.522  18.179638       7317.0   \n",
       "2018-12-07 00:13:47   12036722   467.832   8.816607       5265.0   \n",
       "2018-12-07 01:48:22   47067422    35.114  17.040604         -9.0   \n",
       "2018-12-07 02:17:28   58008032    60.062  33.856364         -9.0   \n",
       "2018-12-07 19:25:43   15048461  1840.718   1.254004       6364.0   \n",
       "2018-12-07 20:23:04   11040042  5136.761  30.844586      15302.0   \n",
       "2018-12-07 09:29:31   47015182   160.046   5.613183         -9.0   \n",
       "2018-12-07 21:17:26   12051802  1817.669  20.941525      13224.0   \n",
       "2018-12-07 05:59:11   58013092    79.228  22.374084         -9.0   \n",
       "...                        ...       ...        ...          ...   \n",
       "2018-12-07 16:49:45   47073422    34.630   6.541289         -9.0   \n",
       "2018-12-07 17:08:58   58021772    39.339  15.098116         -9.0   \n",
       "2018-12-07 17:49:30   47023692    23.329  15.578763         -9.0   \n",
       "2018-12-07 17:59:22   11094052  5419.449   1.892492       2676.0   \n",
       "2018-12-07 18:04:22   58018932    33.284  22.667452         -9.0   \n",
       "2018-12-07 18:04:34   11026912  1204.171  41.911658       6482.0   \n",
       "2018-12-07 18:58:45   11025152  1851.550   0.003725       1866.0   \n",
       "2018-12-07 15:31:19   11074162   761.270  16.262355      13205.0   \n",
       "2018-12-07 19:11:58   47001032     0.263  14.939749         -9.0   \n",
       "2018-12-07 19:32:29   11069812  2069.916  28.649062       5719.0   \n",
       "2018-12-07 19:46:45   47039132   159.425  11.930484         -9.0   \n",
       "2018-12-07 19:57:43   47066472     0.000  46.893288         -9.0   \n",
       "2018-12-07 20:06:43   11002002  2623.305   3.986066       4183.0   \n",
       "2018-12-07 20:13:23   13081512   454.549  17.597075       2922.0   \n",
       "2018-12-07 20:15:26   12000702  1279.136  18.117240      11113.0   \n",
       "2018-12-07 21:19:04   11033992    93.662  25.832968       3789.0   \n",
       "2018-12-07 23:59:12   11065262  1892.163  13.696079       1176.0   \n",
       "2018-12-07 21:54:58   12008972   189.720   0.000000       2893.0   \n",
       "2018-12-07 22:19:12   12031982   629.278  19.381764       3308.0   \n",
       "2018-12-07 22:23:37   13001802  1222.177  22.694716       6271.0   \n",
       "2018-12-07 22:27:28   47056412    15.883   7.522500         -9.0   \n",
       "2018-12-07 22:28:48   13037372   552.869  20.616877       9814.0   \n",
       "2018-12-07 22:47:27   11024112   124.678  28.603756      13222.0   \n",
       "2018-12-07 23:20:23   47049722    38.102   9.156411         -9.0   \n",
       "2018-12-07 23:51:26   13010403  2836.056   4.362929      14707.0   \n",
       "2018-12-07 23:55:02   58014472    87.946   8.978965         -9.0   \n",
       "2018-12-07 18:58:12   11002502   770.806  18.593499       6460.0   \n",
       "2018-12-07 04:30:41   47083132    20.445   9.609652         -9.0   \n",
       "2018-12-07 19:50:04   13047772  1089.054  17.103409      12178.0   \n",
       "2018-12-07 20:04:01   47036632    21.295   4.835877         -9.0   \n",
       "\n",
       "                     ROADWAYSEGID    ...     NEARESTINTROUTEID  \\\n",
       "REPORTDATE                           ...                         \n",
       "2018-12-07 00:40:55        4896.0    ...              11091262   \n",
       "2018-12-07 01:17:14       24168.0    ...                   NaN   \n",
       "2018-12-07 01:29:21         714.0    ...              11076242   \n",
       "2018-12-07 01:29:52        2444.0    ...              11025352   \n",
       "2018-12-07 01:32:08       40059.0    ...              12024732   \n",
       "2018-12-07 01:47:09       36080.0    ...              13082352   \n",
       "2018-12-07 01:53:30        7390.0    ...              11090702   \n",
       "2018-12-07 02:00:46       13687.0    ...              12064672   \n",
       "2018-12-07 04:53:56       22201.0    ...              14047972   \n",
       "2018-12-07 02:10:25       34507.0    ...              11057852   \n",
       "2018-12-07 02:19:04        4817.0    ...              12031332   \n",
       "2018-12-07 02:28:12       22574.0    ...              12040432   \n",
       "2018-12-07 02:30:26       28809.0    ...              12000502   \n",
       "2018-12-07 02:59:48       35712.0    ...              11052322   \n",
       "2018-12-07 03:06:38        1582.0    ...              11025352   \n",
       "2018-12-07 03:12:12        1591.0    ...              11025352   \n",
       "2018-12-07 03:25:39        7515.0    ...              12044072   \n",
       "2018-12-07 03:32:00       12505.0    ...              13000702   \n",
       "2018-12-07 03:34:13       39471.0    ...                   NaN   \n",
       "2018-12-07 03:57:57        2444.0    ...              11026912   \n",
       "2018-12-07 04:26:39       31057.0    ...              13005802   \n",
       "2018-12-07 00:58:50       21381.0    ...              13034382   \n",
       "2018-12-07 00:13:47       13687.0    ...              12064672   \n",
       "2018-12-07 01:48:22       29308.0    ...              13001602   \n",
       "2018-12-07 02:17:28       32058.0    ...                   NaN   \n",
       "2018-12-07 19:25:43        5713.0    ...              14000402   \n",
       "2018-12-07 20:23:04       39037.0    ...              11069682   \n",
       "2018-12-07 09:29:31       23934.0    ...              11040042   \n",
       "2018-12-07 21:17:26       17269.0    ...              12053822   \n",
       "2018-12-07 05:59:11       32722.0    ...              12015992   \n",
       "...                           ...    ...                   ...   \n",
       "2018-12-07 16:49:45       29933.0    ...                   NaN   \n",
       "2018-12-07 17:08:58       36027.0    ...                   NaN   \n",
       "2018-12-07 17:49:30       24811.0    ...              11025152   \n",
       "2018-12-07 17:59:22        3298.0    ...              11009492   \n",
       "2018-12-07 18:04:22       33436.0    ...              12049722   \n",
       "2018-12-07 18:04:34        6994.0    ...              11001702   \n",
       "2018-12-07 18:58:45        2465.0    ...              11024632   \n",
       "2018-12-07 15:31:19        8499.0    ...              11064282   \n",
       "2018-12-07 19:11:58       22345.0    ...              11045762   \n",
       "2018-12-07 19:32:29        6258.0    ...              11001402   \n",
       "2018-12-07 19:46:45       26393.0    ...              13033152   \n",
       "2018-12-07 19:57:43       29543.0    ...                   NaN   \n",
       "2018-12-07 20:06:43        1246.0    ...              11011502   \n",
       "2018-12-07 20:13:23        3476.0    ...              13031952   \n",
       "2018-12-07 20:15:26        5043.0    ...              12047772   \n",
       "2018-12-07 21:19:04       17519.0    ...              11003602   \n",
       "2018-12-07 23:59:12         522.0    ...              11025152   \n",
       "2018-12-07 21:54:58       20761.0    ...              12073712   \n",
       "2018-12-07 22:19:12         361.0    ...              12006002   \n",
       "2018-12-07 22:23:37         218.0    ...              13061162   \n",
       "2018-12-07 22:27:28       28175.0    ...              11077352   \n",
       "2018-12-07 22:28:48       14510.0    ...              13015082   \n",
       "2018-12-07 22:47:27        8433.0    ...              11001202   \n",
       "2018-12-07 23:20:23       27490.0    ...              12001002   \n",
       "2018-12-07 23:51:26       37934.0    ...                   NaN   \n",
       "2018-12-07 23:55:02       32893.0    ...              13083462   \n",
       "2018-12-07 18:58:12       36104.0    ...              11053492   \n",
       "2018-12-07 04:30:41       30955.0    ...              12074682   \n",
       "2018-12-07 19:50:04       12505.0    ...              13000802   \n",
       "2018-12-07 20:04:01       26138.0    ...              11000902   \n",
       "\n",
       "                     NEARESTINTSTREETNAME  OFFINTERSECTION  \\\n",
       "REPORTDATE                                                   \n",
       "2018-12-07 00:40:55     WASHINGTON CIR NW        48.562970   \n",
       "2018-12-07 01:17:14                   NaN      -999.000000   \n",
       "2018-12-07 01:29:21     RITTENHOUSE ST NW        46.920539   \n",
       "2018-12-07 01:29:52   CONSTITUTION AVE NW        59.489242   \n",
       "2018-12-07 01:32:08       COLUMBUS CIR NE        45.195056   \n",
       "2018-12-07 01:47:09         STANTON RD SE       162.301712   \n",
       "2018-12-07 01:53:30           WARD CIR NW         1.429082   \n",
       "2018-12-07 02:00:46       NEW YORK AVE NE        17.354859   \n",
       "2018-12-07 04:53:56   INDEPENDENCE AVE SW        53.919805   \n",
       "2018-12-07 02:10:25               M ST NW         3.129437   \n",
       "2018-12-07 02:19:04               E ST NE        98.675315   \n",
       "2018-12-07 02:28:12        GIRARD ST NE 1        40.286241   \n",
       "2018-12-07 02:30:26           5TH ST NE 1        39.860085   \n",
       "2018-12-07 02:59:48          KENYON ST NW        37.180879   \n",
       "2018-12-07 03:06:38   CONSTITUTION AVE NW        12.288231   \n",
       "2018-12-07 03:12:12   CONSTITUTION AVE NW        23.015667   \n",
       "2018-12-07 03:25:39           HAYES ST NE        67.837538   \n",
       "2018-12-07 03:32:00           7TH ST SE 1        53.422931   \n",
       "2018-12-07 03:34:13                   NaN      -999.000000   \n",
       "2018-12-07 03:57:57               D ST NW        70.123282   \n",
       "2018-12-07 04:26:39            58TH ST SE       220.368685   \n",
       "2018-12-07 00:58:50               F ST SE        52.334298   \n",
       "2018-12-07 00:13:47       NEW YORK AVE NE        28.865064   \n",
       "2018-12-07 01:48:22            16TH ST SE        58.820680   \n",
       "2018-12-07 02:17:28                   NaN      -999.000000   \n",
       "2018-12-07 19:25:43             4TH ST SW         5.126498   \n",
       "2018-12-07 20:23:04         PEABODY ST NW        56.828924   \n",
       "2018-12-07 09:29:31        GEORGIA AVE NW        15.505811   \n",
       "2018-12-07 21:17:26            LANE PL NE        17.286352   \n",
       "2018-12-07 05:59:11     BLADENSBURG RD NE        59.679733   \n",
       "...                                   ...              ...   \n",
       "2018-12-07 16:49:45                   NaN      -999.000000   \n",
       "2018-12-07 17:08:58                   NaN      -999.000000   \n",
       "2018-12-07 17:49:30    CONNECTICUT AVE NW        41.810290   \n",
       "2018-12-07 17:59:22     ALBEMARLE ST NW 1        46.004692   \n",
       "2018-12-07 18:04:22             JAY ST NE        25.064589   \n",
       "2018-12-07 18:04:34            17TH ST NW       128.613699   \n",
       "2018-12-07 18:58:45        COLUMBIA RD NW        88.206290   \n",
       "2018-12-07 15:31:19     NEW JERSEY AVE NW        19.075246   \n",
       "2018-12-07 19:11:58          HOBART PL NW        43.875991   \n",
       "2018-12-07 19:32:29            14TH ST NW        78.377993   \n",
       "2018-12-07 19:46:45        ELMIRA ST SE 1        40.453021   \n",
       "2018-12-07 19:57:43                   NaN      -999.000000   \n",
       "2018-12-07 20:06:43         ASHMEAD PL NW        61.065055   \n",
       "2018-12-07 20:13:23    EAST MEADOWS CT SE        55.931051   \n",
       "2018-12-07 20:15:26               I ST NE        28.854390   \n",
       "2018-12-07 21:19:04            36TH ST NW        55.625171   \n",
       "2018-12-07 23:59:12    CONNECTICUT AVE NW        32.753267   \n",
       "2018-12-07 21:54:58   QUEENS CHAPEL RD NE         5.840167   \n",
       "2018-12-07 22:19:12            60TH ST NE        49.700767   \n",
       "2018-12-07 22:23:37      MINNESOTA AVE SE         9.867796   \n",
       "2018-12-07 22:27:28       ROXBORO PL NW 1        15.866784   \n",
       "2018-12-07 22:28:48            BELT RD SE       126.739457   \n",
       "2018-12-07 22:47:27            12TH ST NW        47.128520   \n",
       "2018-12-07 23:20:23            10TH ST NE        20.033211   \n",
       "2018-12-07 23:51:26                   NaN      -999.000000   \n",
       "2018-12-07 23:55:02        SUITLAND RD SE        75.541849   \n",
       "2018-12-07 18:58:12               L ST NW        20.395931   \n",
       "2018-12-07 04:30:41      RANDOLPH ST NE 1        22.524642   \n",
       "2018-12-07 19:50:04           8TH ST SE 1         4.419463   \n",
       "2018-12-07 20:04:01             9TH ST NW        40.513970   \n",
       "\n",
       "                    INTAPPROACHDIRECTION  LOCATIONERROR  LASTUPDATEDATE  \\\n",
       "REPORTDATE                                                                \n",
       "2018-12-07 00:40:55                 West            NaN             NaN   \n",
       "2018-12-07 01:17:14                  NaN            NaN             NaN   \n",
       "2018-12-07 01:29:21                  NaN            NaN             NaN   \n",
       "2018-12-07 01:29:52                 West            NaN             NaN   \n",
       "2018-12-07 01:32:08                 West            NaN             NaN   \n",
       "2018-12-07 01:47:09                 West            NaN             NaN   \n",
       "2018-12-07 01:53:30                 West            NaN             NaN   \n",
       "2018-12-07 02:00:46                 West            NaN             NaN   \n",
       "2018-12-07 04:53:56                  NaN            NaN             NaN   \n",
       "2018-12-07 02:10:25                 West            NaN             NaN   \n",
       "2018-12-07 02:19:04                 West            NaN             NaN   \n",
       "2018-12-07 02:28:12                  NaN            NaN             NaN   \n",
       "2018-12-07 02:30:26                 West            NaN             NaN   \n",
       "2018-12-07 02:59:48                  NaN            NaN             NaN   \n",
       "2018-12-07 03:06:38                 West            NaN             NaN   \n",
       "2018-12-07 03:12:12                 West            NaN             NaN   \n",
       "2018-12-07 03:25:39                  NaN            NaN             NaN   \n",
       "2018-12-07 03:32:00                 West            NaN             NaN   \n",
       "2018-12-07 03:34:13                  NaN            NaN             NaN   \n",
       "2018-12-07 03:57:57                  NaN            NaN             NaN   \n",
       "2018-12-07 04:26:39                  NaN            NaN             NaN   \n",
       "2018-12-07 00:58:50                  NaN            NaN             NaN   \n",
       "2018-12-07 00:13:47                 West            NaN             NaN   \n",
       "2018-12-07 01:48:22                 West            NaN             NaN   \n",
       "2018-12-07 02:17:28                  NaN            NaN             NaN   \n",
       "2018-12-07 19:25:43                 West            NaN             NaN   \n",
       "2018-12-07 20:23:04                  NaN            NaN             NaN   \n",
       "2018-12-07 09:29:31                 West            NaN             NaN   \n",
       "2018-12-07 21:17:26                  NaN            NaN             NaN   \n",
       "2018-12-07 05:59:11                 West            NaN             NaN   \n",
       "...                                  ...            ...             ...   \n",
       "2018-12-07 16:49:45                  NaN            NaN             NaN   \n",
       "2018-12-07 17:08:58                  NaN            NaN             NaN   \n",
       "2018-12-07 17:49:30                  NaN            NaN             NaN   \n",
       "2018-12-07 17:59:22                 West            NaN             NaN   \n",
       "2018-12-07 18:04:22                  NaN            NaN             NaN   \n",
       "2018-12-07 18:04:34                  NaN            NaN             NaN   \n",
       "2018-12-07 18:58:45                 West            NaN             NaN   \n",
       "2018-12-07 15:31:19                 West            NaN             NaN   \n",
       "2018-12-07 19:11:58                 West            NaN             NaN   \n",
       "2018-12-07 19:32:29                 West            NaN             NaN   \n",
       "2018-12-07 19:46:45                  NaN            NaN             NaN   \n",
       "2018-12-07 19:57:43                  NaN            NaN             NaN   \n",
       "2018-12-07 20:06:43                  NaN            NaN             NaN   \n",
       "2018-12-07 20:13:23                 West            NaN             NaN   \n",
       "2018-12-07 20:15:26                  NaN            NaN             NaN   \n",
       "2018-12-07 21:19:04                 West            NaN             NaN   \n",
       "2018-12-07 23:59:12                  NaN            NaN             NaN   \n",
       "2018-12-07 21:54:58                  NaN            NaN             NaN   \n",
       "2018-12-07 22:19:12                  NaN            NaN             NaN   \n",
       "2018-12-07 22:23:37                 West            NaN             NaN   \n",
       "2018-12-07 22:27:28                  NaN            NaN             NaN   \n",
       "2018-12-07 22:28:48                  NaN            NaN             NaN   \n",
       "2018-12-07 22:47:27                 West            NaN             NaN   \n",
       "2018-12-07 23:20:23                  NaN            NaN             NaN   \n",
       "2018-12-07 23:51:26                  NaN            NaN             NaN   \n",
       "2018-12-07 23:55:02                  NaN            NaN             NaN   \n",
       "2018-12-07 18:58:12                  NaN            NaN             NaN   \n",
       "2018-12-07 04:30:41                 West            NaN             NaN   \n",
       "2018-12-07 19:50:04                 West            NaN             NaN   \n",
       "2018-12-07 20:04:01                 West            NaN             NaN   \n",
       "\n",
       "                     MPDLATITUDE  MPDLONGITUDE    MPDGEOX    MPDGEOY  \n",
       "REPORTDATE                                                            \n",
       "2018-12-07 00:40:55    38.902952    -77.050653  395653.23  137187.19  \n",
       "2018-12-07 01:17:14    38.967108    -77.020875  398190.95  144355.04  \n",
       "2018-12-07 01:29:21    38.965363    -77.027575  397636.94  144161.43  \n",
       "2018-12-07 01:29:52    38.892609    -77.014364  398764.77  136021.66  \n",
       "2018-12-07 01:32:08    38.896056    -77.005880  399463.98  136632.07  \n",
       "2018-12-07 01:47:09    38.846414    -76.982003  401681.01  131024.62  \n",
       "2018-12-07 01:53:30    38.937586    -77.086169  392575.79  141152.18  \n",
       "2018-12-07 02:00:46    38.909047    -77.004536  399674.91  137882.49  \n",
       "2018-12-07 04:53:56    38.887409    -77.014654  398900.39  135211.35  \n",
       "2018-12-07 02:10:25    38.905244    -77.059152  394855.97  137468.95  \n",
       "2018-12-07 02:19:04    38.896317    -76.992634  400557.15  136500.84  \n",
       "2018-12-07 02:28:12    38.925987    -77.008935  399271.04  139760.60  \n",
       "2018-12-07 02:30:26    38.900109    -76.999197  400074.16  136900.45  \n",
       "2018-12-07 02:59:48    38.929908    -77.032634  397183.93  140206.96  \n",
       "2018-12-07 03:06:38    38.892175    -77.033743        NaN        NaN  \n",
       "2018-12-07 03:12:12    38.892285    -77.021917        NaN        NaN  \n",
       "2018-12-07 03:25:39    38.901214    -76.946948  404608.81  137073.52  \n",
       "2018-12-07 03:32:00    38.879621    -76.995583  400387.23  134623.15  \n",
       "2018-12-07 03:34:13    38.892047    -77.061659  394768.57  136040.25  \n",
       "2018-12-07 03:57:57    38.894674    -77.015037  398764.77  136021.66  \n",
       "2018-12-07 04:26:39    38.888598    -76.914969  407247.06  135694.46  \n",
       "2018-12-07 00:58:50    38.882347    -76.936096  405594.56  134965.49  \n",
       "2018-12-07 00:13:47    38.908844    -77.004267        NaN        NaN  \n",
       "2018-12-07 01:48:22    38.866001    -76.981986  401578.44  133169.45  \n",
       "2018-12-07 02:17:28    38.939082    -77.088415  392334.76  141247.38  \n",
       "2018-12-07 19:25:43    38.882304    -77.017502        NaN        NaN  \n",
       "2018-12-07 20:23:04    38.962191    -77.027957  397548.29  143810.53  \n",
       "2018-12-07 09:29:31    38.982995    -77.026646  397678.95  146124.26  \n",
       "2018-12-07 21:17:26    38.904630    -76.941306  405027.15  137399.45  \n",
       "2018-12-07 05:59:11    38.918452    -76.971559  402490.29  139059.72  \n",
       "...                          ...           ...        ...        ...  \n",
       "2018-12-07 16:49:45    38.878656    -77.011145  399049.33  137319.13  \n",
       "2018-12-07 17:08:58    38.928866    -76.959269  403531.77  140110.40  \n",
       "2018-12-07 17:49:30    38.916887    -77.046813  395909.69  138797.17  \n",
       "2018-12-07 17:59:22    38.948278    -77.079916        NaN        NaN  \n",
       "2018-12-07 18:04:22    38.904172    -76.947832  404541.98  137345.87  \n",
       "2018-12-07 18:04:34    38.893534    -77.040533  396530.26  136235.36  \n",
       "2018-12-07 18:58:45    38.916394    -77.045470  395946.56  138767.59  \n",
       "2018-12-07 15:31:19    38.912774    -77.017320  398453.91  138320.97  \n",
       "2018-12-07 19:11:58    38.927903    -77.023145  398025.86  139969.41  \n",
       "2018-12-07 19:32:29    38.896061    -77.031060  397278.55  136502.52  \n",
       "2018-12-07 19:46:45    38.826412    -77.005900  399487.66  128736.42  \n",
       "2018-12-07 19:57:43    38.906325    -77.031145  397313.44  137599.78  \n",
       "2018-12-07 20:06:43    38.920046    -77.046593        NaN        NaN  \n",
       "2018-12-07 20:13:23    38.824220    -76.997370  400200.22  128498.37  \n",
       "2018-12-07 20:15:26          NaN           NaN  400350.61  137075.11  \n",
       "2018-12-07 21:19:04    38.954474    -77.069589  393905.87  142873.31  \n",
       "2018-12-07 23:59:12    38.965892    -77.076518  393352.10  144215.70  \n",
       "2018-12-07 21:54:58    38.919974    -76.972916  402343.09  139121.35  \n",
       "2018-12-07 22:19:12    38.896789    -76.914715  407398.27  136552.23  \n",
       "2018-12-07 22:23:37    38.869297    -76.979101  401799.08  133450.19  \n",
       "2018-12-07 22:27:28    38.965417    -77.021163  398165.96  144167.32  \n",
       "2018-12-07 22:28:48    38.865632    -76.945538  404726.49  133091.53  \n",
       "2018-12-07 22:47:27    38.922173    -77.028471  397531.11  139367.02  \n",
       "2018-12-07 23:20:23    38.936804    -76.993610  400523.54  140991.91  \n",
       "2018-12-07 23:51:26    38.872901    -76.979833        NaN        NaN  \n",
       "2018-12-07 23:55:02    38.861349    -76.949853  404343.60  132675.41  \n",
       "2018-12-07 18:58:12    38.903483    -77.053433  395358.26  137351.13  \n",
       "2018-12-07 04:30:41    38.938489    -76.987899  401070.23  141178.79  \n",
       "2018-12-07 19:50:04    38.879322    -76.994962  400416.84  134622.74  \n",
       "2018-12-07 20:04:01    38.954165    -77.025624  397795.63  142964.60  \n",
       "\n",
       "[100 rows x 53 columns]"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts['2018-12-07']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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