ipvisualization.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ip=pd.read_csv(\"geoip2-ipv4_csv.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>geoname_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.715610e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.498003e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.002172e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.951800e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.017370e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2.921044e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.252001e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.909807e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         geoname_id\n",
       "count  1.715610e+05\n",
       "mean   3.498003e+06\n",
       "std    2.002172e+06\n",
       "min    4.951800e+04\n",
       "25%    2.017370e+06\n",
       "50%    2.921044e+06\n",
       "75%    6.252001e+06\n",
       "max    7.909807e+06"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 172754 entries, 0 to 172753\n",
      "Data columns (total 8 columns):\n",
      "network                  172754 non-null object\n",
      "geoname_id               171561 non-null float64\n",
      "continent_code           120141 non-null object\n",
      "continent_name           171561 non-null object\n",
      "country_iso_code         171513 non-null object\n",
      "country_name             171561 non-null object\n",
      "is_anonymous_proxy       172754 non-null bool\n",
      "is_satellite_provider    172754 non-null bool\n",
      "dtypes: bool(2), float64(1), object(5)\n",
      "memory usage: 8.2+ MB\n"
     ]
    }
   ],
   "source": [
    "ip.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>network</th>\n",
       "      <th>geoname_id</th>\n",
       "      <th>continent_code</th>\n",
       "      <th>continent_name</th>\n",
       "      <th>country_iso_code</th>\n",
       "      <th>country_name</th>\n",
       "      <th>is_anonymous_proxy</th>\n",
       "      <th>is_satellite_provider</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>41.74.160.0/20</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>41.77.160.0/22</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>41.138.80.0/21</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>41.186.0.0/16</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41.197.0.0/16</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          network  geoname_id continent_code continent_name country_iso_code  \\\n",
       "0  41.74.160.0/20     49518.0             AF         Africa               RW   \n",
       "1  41.77.160.0/22     49518.0             AF         Africa               RW   \n",
       "2  41.138.80.0/21     49518.0             AF         Africa               RW   \n",
       "3   41.186.0.0/16     49518.0             AF         Africa               RW   \n",
       "4   41.197.0.0/16     49518.0             AF         Africa               RW   \n",
       "\n",
       "  country_name  is_anonymous_proxy  is_satellite_provider  \n",
       "0       Rwanda               False                  False  \n",
       "1       Rwanda               False                  False  \n",
       "2       Rwanda               False                  False  \n",
       "3       Rwanda               False                  False  \n",
       "4       Rwanda               False                  False  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>network</th>\n",
       "      <th>geoname_id</th>\n",
       "      <th>continent_code</th>\n",
       "      <th>continent_name</th>\n",
       "      <th>country_iso_code</th>\n",
       "      <th>country_name</th>\n",
       "      <th>is_anonymous_proxy</th>\n",
       "      <th>is_satellite_provider</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>41.74.160.0/20</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>41.77.160.0/22</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>41.138.80.0/21</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>41.186.0.0/16</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>41.197.0.0/16</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>41.215.248.0/22</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>41.216.96.0/20</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>41.216.112.0/21</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>41.216.120.0/22</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>41.222.244.0/22</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>41.242.140.0/22</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>104.143.19.0/24</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>105.21.96.0/19</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>105.178.0.0/15</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>154.68.64.0/18</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>196.12.140.0/22</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>196.12.144.0/22</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>196.44.240.0/20</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>196.49.7.0/24</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>196.223.12.0/24</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>197.157.128.0/18</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>197.157.212.0/22</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>197.234.244.0/22</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>197.243.0.0/17</td>\n",
       "      <td>49518.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>RW</td>\n",
       "      <td>Rwanda</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>41.78.72.0/22</td>\n",
       "      <td>51537.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>SO</td>\n",
       "      <td>Somalia</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>41.79.196.0/22</td>\n",
       "      <td>51537.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>SO</td>\n",
       "      <td>Somalia</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>41.223.108.0/22</td>\n",
       "      <td>51537.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>SO</td>\n",
       "      <td>Somalia</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>80.78.20.233/32</td>\n",
       "      <td>51537.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>SO</td>\n",
       "      <td>Somalia</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>80.78.20.234/31</td>\n",
       "      <td>51537.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>SO</td>\n",
       "      <td>Somalia</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>80.78.20.236/30</td>\n",
       "      <td>51537.0</td>\n",
       "      <td>AF</td>\n",
       "      <td>Africa</td>\n",
       "      <td>SO</td>\n",
       "      <td>Somalia</td>\n",
       "      <td>False</td>\n",
       "      <td>False</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>131.117.160.0/21</td>\n",
       "      <td>69543.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>YE</td>\n",
       "      <td>Yemen</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>155.254.201.0/24</td>\n",
       "      <td>69543.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>YE</td>\n",
       "      <td>Yemen</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>185.11.8.0/22</td>\n",
       "      <td>69543.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>YE</td>\n",
       "      <td>Yemen</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>185.71.132.0/22</td>\n",
       "      <td>69543.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>YE</td>\n",
       "      <td>Yemen</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>185.80.44.0/22</td>\n",
       "      <td>69543.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>YE</td>\n",
       "      <td>Yemen</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>185.80.140.0/22</td>\n",
       "      <td>69543.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>YE</td>\n",
       "      <td>Yemen</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>195.94.0.0/19</td>\n",
       "      <td>69543.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>YE</td>\n",
       "      <td>Yemen</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>198.69.12.0/23</td>\n",
       "      <td>69543.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>YE</td>\n",
       "      <td>Yemen</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>205.160.110.0/23</td>\n",
       "      <td>69543.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>YE</td>\n",
       "      <td>Yemen</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>5.1.104.0/21</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>5.8.240.0/21</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>5.10.224.0/21</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>5.42.192.0/19</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>5.104.72.0/21</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>5.149.96.0/20</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>31.24.200.0/22</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>31.25.136.0/21</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>31.177.39.0/24</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>37.17.128.0/19</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>37.77.48.0/21</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>37.77.64.0/20</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>37.98.224.0/21</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>37.205.112.0/21</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>37.236.0.0/14</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>46.30.224.0/21</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>46.31.72.0/21</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>46.243.16.0/21</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>46.253.128.0/20</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>62.145.104.0/22</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>62.201.192.0/18</td>\n",
       "      <td>99237.0</td>\n",
       "      <td>AS</td>\n",
       "      <td>Asia</td>\n",
       "      <td>IQ</td>\n",
       "      <td>Iraq</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             network  geoname_id continent_code continent_name  \\\n",
       "0     41.74.160.0/20     49518.0             AF         Africa   \n",
       "1     41.77.160.0/22     49518.0             AF         Africa   \n",
       "2     41.138.80.0/21     49518.0             AF         Africa   \n",
       "3      41.186.0.0/16     49518.0             AF         Africa   \n",
       "4      41.197.0.0/16     49518.0             AF         Africa   \n",
       "5    41.215.248.0/22     49518.0             AF         Africa   \n",
       "6     41.216.96.0/20     49518.0             AF         Africa   \n",
       "7    41.216.112.0/21     49518.0             AF         Africa   \n",
       "8    41.216.120.0/22     49518.0             AF         Africa   \n",
       "9    41.222.244.0/22     49518.0             AF         Africa   \n",
       "10   41.242.140.0/22     49518.0             AF         Africa   \n",
       "11   104.143.19.0/24     49518.0             AF         Africa   \n",
       "12    105.21.96.0/19     49518.0             AF         Africa   \n",
       "13    105.178.0.0/15     49518.0             AF         Africa   \n",
       "14    154.68.64.0/18     49518.0             AF         Africa   \n",
       "15   196.12.140.0/22     49518.0             AF         Africa   \n",
       "16   196.12.144.0/22     49518.0             AF         Africa   \n",
       "17   196.44.240.0/20     49518.0             AF         Africa   \n",
       "18     196.49.7.0/24     49518.0             AF         Africa   \n",
       "19   196.223.12.0/24     49518.0             AF         Africa   \n",
       "20  197.157.128.0/18     49518.0             AF         Africa   \n",
       "21  197.157.212.0/22     49518.0             AF         Africa   \n",
       "22  197.234.244.0/22     49518.0             AF         Africa   \n",
       "23    197.243.0.0/17     49518.0             AF         Africa   \n",
       "24     41.78.72.0/22     51537.0             AF         Africa   \n",
       "25    41.79.196.0/22     51537.0             AF         Africa   \n",
       "26   41.223.108.0/22     51537.0             AF         Africa   \n",
       "27   80.78.20.233/32     51537.0             AF         Africa   \n",
       "28   80.78.20.234/31     51537.0             AF         Africa   \n",
       "29   80.78.20.236/30     51537.0             AF         Africa   \n",
       "..               ...         ...            ...            ...   \n",
       "70  131.117.160.0/21     69543.0             AS           Asia   \n",
       "71  155.254.201.0/24     69543.0             AS           Asia   \n",
       "72     185.11.8.0/22     69543.0             AS           Asia   \n",
       "73   185.71.132.0/22     69543.0             AS           Asia   \n",
       "74    185.80.44.0/22     69543.0             AS           Asia   \n",
       "75   185.80.140.0/22     69543.0             AS           Asia   \n",
       "76     195.94.0.0/19     69543.0             AS           Asia   \n",
       "77    198.69.12.0/23     69543.0             AS           Asia   \n",
       "78  205.160.110.0/23     69543.0             AS           Asia   \n",
       "79      5.1.104.0/21     99237.0             AS           Asia   \n",
       "80      5.8.240.0/21     99237.0             AS           Asia   \n",
       "81     5.10.224.0/21     99237.0             AS           Asia   \n",
       "82     5.42.192.0/19     99237.0             AS           Asia   \n",
       "83     5.104.72.0/21     99237.0             AS           Asia   \n",
       "84     5.149.96.0/20     99237.0             AS           Asia   \n",
       "85    31.24.200.0/22     99237.0             AS           Asia   \n",
       "86    31.25.136.0/21     99237.0             AS           Asia   \n",
       "87    31.177.39.0/24     99237.0             AS           Asia   \n",
       "88    37.17.128.0/19     99237.0             AS           Asia   \n",
       "89     37.77.48.0/21     99237.0             AS           Asia   \n",
       "90     37.77.64.0/20     99237.0             AS           Asia   \n",
       "91    37.98.224.0/21     99237.0             AS           Asia   \n",
       "92   37.205.112.0/21     99237.0             AS           Asia   \n",
       "93     37.236.0.0/14     99237.0             AS           Asia   \n",
       "94    46.30.224.0/21     99237.0             AS           Asia   \n",
       "95     46.31.72.0/21     99237.0             AS           Asia   \n",
       "96    46.243.16.0/21     99237.0             AS           Asia   \n",
       "97   46.253.128.0/20     99237.0             AS           Asia   \n",
       "98   62.145.104.0/22     99237.0             AS           Asia   \n",
       "99   62.201.192.0/18     99237.0             AS           Asia   \n",
       "\n",
       "   country_iso_code country_name  is_anonymous_proxy  is_satellite_provider  \n",
       "0                RW       Rwanda               False                  False  \n",
       "1                RW       Rwanda               False                  False  \n",
       "2                RW       Rwanda               False                  False  \n",
       "3                RW       Rwanda               False                  False  \n",
       "4                RW       Rwanda               False                  False  \n",
       "5                RW       Rwanda               False                  False  \n",
       "6                RW       Rwanda               False                  False  \n",
       "7                RW       Rwanda               False                  False  \n",
       "8                RW       Rwanda               False                  False  \n",
       "9                RW       Rwanda               False                  False  \n",
       "10               RW       Rwanda               False                  False  \n",
       "11               RW       Rwanda               False                  False  \n",
       "12               RW       Rwanda               False                  False  \n",
       "13               RW       Rwanda               False                  False  \n",
       "14               RW       Rwanda               False                  False  \n",
       "15               RW       Rwanda               False                  False  \n",
       "16               RW       Rwanda               False                  False  \n",
       "17               RW       Rwanda               False                  False  \n",
       "18               RW       Rwanda               False                  False  \n",
       "19               RW       Rwanda               False                  False  \n",
       "20               RW       Rwanda               False                  False  \n",
       "21               RW       Rwanda               False                  False  \n",
       "22               RW       Rwanda               False                  False  \n",
       "23               RW       Rwanda               False                  False  \n",
       "24               SO      Somalia               False                  False  \n",
       "25               SO      Somalia               False                  False  \n",
       "26               SO      Somalia               False                  False  \n",
       "27               SO      Somalia               False                  False  \n",
       "28               SO      Somalia               False                  False  \n",
       "29               SO      Somalia               False                  False  \n",
       "..              ...          ...                 ...                    ...  \n",
       "70               YE        Yemen               False                  False  \n",
       "71               YE        Yemen               False                  False  \n",
       "72               YE        Yemen               False                  False  \n",
       "73               YE        Yemen               False                  False  \n",
       "74               YE        Yemen               False                  False  \n",
       "75               YE        Yemen               False                  False  \n",
       "76               YE        Yemen               False                  False  \n",
       "77               YE        Yemen               False                  False  \n",
       "78               YE        Yemen               False                  False  \n",
       "79               IQ         Iraq               False                  False  \n",
       "80               IQ         Iraq               False                  False  \n",
       "81               IQ         Iraq               False                  False  \n",
       "82               IQ         Iraq               False                  False  \n",
       "83               IQ         Iraq               False                  False  \n",
       "84               IQ         Iraq               False                  False  \n",
       "85               IQ         Iraq               False                  False  \n",
       "86               IQ         Iraq               False                  False  \n",
       "87               IQ         Iraq               False                  False  \n",
       "88               IQ         Iraq               False                  False  \n",
       "89               IQ         Iraq               False                  False  \n",
       "90               IQ         Iraq               False                  False  \n",
       "91               IQ         Iraq               False                  False  \n",
       "92               IQ         Iraq               False                  False  \n",
       "93               IQ         Iraq               False                  False  \n",
       "94               IQ         Iraq               False                  False  \n",
       "95               IQ         Iraq               False                  False  \n",
       "96               IQ         Iraq               False                  False  \n",
       "97               IQ         Iraq               False                  False  \n",
       "98               IQ         Iraq               False                  False  \n",
       "99               IQ         Iraq               False                  False  \n",
       "\n",
       "[100 rows x 8 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.head(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>network</th>\n",
       "      <th>geoname_id</th>\n",
       "      <th>continent_code</th>\n",
       "      <th>continent_name</th>\n",
       "      <th>country_iso_code</th>\n",
       "      <th>country_name</th>\n",
       "      <th>is_anonymous_proxy</th>\n",
       "      <th>is_satellite_provider</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>172749</th>\n",
       "      <td>217.194.157.32/27</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172750</th>\n",
       "      <td>217.194.157.64/26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172751</th>\n",
       "      <td>217.194.157.128/25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172752</th>\n",
       "      <td>217.194.158.0/23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172753</th>\n",
       "      <td>217.194.222.0/25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   network  geoname_id continent_code continent_name  \\\n",
       "172749   217.194.157.32/27         NaN            NaN            NaN   \n",
       "172750   217.194.157.64/26         NaN            NaN            NaN   \n",
       "172751  217.194.157.128/25         NaN            NaN            NaN   \n",
       "172752    217.194.158.0/23         NaN            NaN            NaN   \n",
       "172753    217.194.222.0/25         NaN            NaN            NaN   \n",
       "\n",
       "       country_iso_code country_name  is_anonymous_proxy  \\\n",
       "172749              NaN          NaN               False   \n",
       "172750              NaN          NaN               False   \n",
       "172751              NaN          NaN               False   \n",
       "172752              NaN          NaN               False   \n",
       "172753              NaN          NaN                True   \n",
       "\n",
       "        is_satellite_provider  \n",
       "172749                   True  \n",
       "172750                   True  \n",
       "172751                   True  \n",
       "172752                   True  \n",
       "172753                  False  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ip.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "ip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "numpy boolean subtract, the `-` operator, is deprecated, use the bitwise_xor, the `^` operator, or the logical_xor function instead.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m/srv/conda/lib/python3.6/site-packages/numpy/lib/histograms.py\u001b[0m in \u001b[0;36m_unsigned_subtract\u001b[0;34m(a, b)\u001b[0m\n\u001b[1;32m    279\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 280\u001b[0;31m         \u001b[0mdt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msigned_to_unsigned\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtype\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    281\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: <class 'numpy.bool_'>",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-21-72e866792314>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mip\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0medgecolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'black'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlinewidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1.5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgcf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/srv/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36mhist_frame\u001b[0;34m(data, column, by, grid, xlabelsize, xrot, ylabelsize, yrot, ax, sharex, sharey, figsize, layout, bins, **kwds)\u001b[0m\n\u001b[1;32m   2135\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcol\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_try_sort\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2136\u001b[0m         \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_axes\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2137\u001b[0;31m         \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcol\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdropna\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbins\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbins\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2138\u001b[0m         \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_title\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcol\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2139\u001b[0m         \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgrid\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mgrid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/srv/conda/lib/python3.6/site-packages/matplotlib/__init__.py\u001b[0m in \u001b[0;36minner\u001b[0;34m(ax, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1715\u001b[0m                     warnings.warn(msg % (label_namer, func.__name__),\n\u001b[1;32m   1716\u001b[0m                                   RuntimeWarning, stacklevel=2)\n\u001b[0;32m-> 1717\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1718\u001b[0m         \u001b[0mpre_doc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minner\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1719\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mpre_doc\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/srv/conda/lib/python3.6/site-packages/matplotlib/axes/_axes.py\u001b[0m in \u001b[0;36mhist\u001b[0;34m(***failed resolving arguments***)\u001b[0m\n\u001b[1;32m   6163\u001b[0m             \u001b[0;31m# this will automatically overwrite bins,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6164\u001b[0m             \u001b[0;31m# so that each histogram uses the same bins\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 6165\u001b[0;31m             \u001b[0mm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbins\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhistogram\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbins\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mweights\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mw\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mhist_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   6166\u001b[0m             \u001b[0mm\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# causes problems later if it's an int\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6167\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mmlast\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/srv/conda/lib/python3.6/site-packages/numpy/lib/histograms.py\u001b[0m in \u001b[0;36mhistogram\u001b[0;34m(a, bins, range, normed, weights, density)\u001b[0m\n\u001b[1;32m    730\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    731\u001b[0m         \u001b[0;31m# Pre-compute histogram scaling factor\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 732\u001b[0;31m         \u001b[0mnorm\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mn_equal_bins\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0m_unsigned_subtract\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlast_edge\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfirst_edge\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    733\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    734\u001b[0m         \u001b[0;31m# We iterate over blocks here for two reasons: the first is that for\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/srv/conda/lib/python3.6/site-packages/numpy/lib/histograms.py\u001b[0m in \u001b[0;36m_unsigned_subtract\u001b[0;34m(a, b)\u001b[0m\n\u001b[1;32m    280\u001b[0m         \u001b[0mdt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msigned_to_unsigned\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mdt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtype\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    281\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 282\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubtract\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    283\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    284\u001b[0m         \u001b[0;31m# we know the inputs are integers, and we are deliberately casting\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: numpy boolean subtract, the `-` operator, is deprecated, use the bitwise_xor, the `^` operator, or the logical_xor function instead."
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbea9400d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ip.hist(edgecolor='black', linewidth=1.5)\n",
    "fig=plt.gcf()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "scatter requires y column to be numeric",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-25-e9f966f3eeed>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mip\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"scatter\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"geoname_id\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"network\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/srv/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, x, y, kind, ax, subplots, sharex, sharey, layout, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, secondary_y, sort_columns, **kwds)\u001b[0m\n\u001b[1;32m   2625\u001b[0m                           \u001b[0mfontsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfontsize\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2626\u001b[0m                           \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2627\u001b[0;31m                           sort_columns=sort_columns, **kwds)\n\u001b[0m\u001b[1;32m   2628\u001b[0m     \u001b[0m__call__\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplot_frame\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2629\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/srv/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36mplot_frame\u001b[0;34m(data, x, y, kind, ax, subplots, sharex, sharey, layout, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, secondary_y, sort_columns, **kwds)\u001b[0m\n\u001b[1;32m   1867\u001b[0m                  \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1868\u001b[0m                  \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msort_columns\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msort_columns\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1869\u001b[0;31m                  **kwds)\n\u001b[0m\u001b[1;32m   1870\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1871\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/srv/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m_plot\u001b[0;34m(data, x, y, subplots, ax, kind, **kwds)\u001b[0m\n\u001b[1;32m   1650\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mDataFrame\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1651\u001b[0m             plot_obj = klass(data, x=x, y=y, subplots=subplots, ax=ax,\n\u001b[0;32m-> 1652\u001b[0;31m                              kind=kind, **kwds)\n\u001b[0m\u001b[1;32m   1653\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1654\u001b[0m             raise ValueError(\"plot kind %r can only be used for data frames\"\n",
      "\u001b[0;32m/srv/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, data, x, y, s, c, **kwargs)\u001b[0m\n\u001b[1;32m    808\u001b[0m             \u001b[0;31m# the handling of this argument later\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    809\u001b[0m             \u001b[0ms\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m20\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 810\u001b[0;31m         \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mScatterPlot\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    811\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mholds_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    812\u001b[0m             \u001b[0mc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mc\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/srv/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, data, x, y, **kwargs)\u001b[0m\n\u001b[1;32m    785\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kind\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m' requires x column to be numeric'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    786\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_numeric_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 787\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kind\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m' requires y column to be numeric'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    788\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    789\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: scatter requires y column to be numeric"
     ]
    }
   ],
   "source": [
    "ip.plot(kind=\"scatter\", x=\"geoname_id\", y=\"network\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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