Cleaning_the_geocoded_data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.core.display import display, HTML\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas as gpd\n",
    "from shapely.geometry import Point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geocoder\n",
    "import requests\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:100% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.options.display.max_columns = None\n",
    "display(HTML(\"<style>.container { width:100% !important; }</style>\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can find many different shapefiles for Chicago on Chicago's data portal. I downloaded (via \"export\") the 2010 census tract regions from [this page](https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-Census-Tracts-2010/5jrd-6zik)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "ZIP_SHP_PATH = os.path.join('zip://', 'data', 'Boundaries - Census Tracts - 2010.zip')\n",
    "coord_system = {'init': 'epsg:4326'}\n",
    "chicago_census_tracts = gpd.read_file(ZIP_SHP_PATH).to_crs(coord_system)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2863d710eb8>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "chicago_census_tracts.plot(figsize=(15,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>statefp10</th>\n",
       "      <th>countyfp10</th>\n",
       "      <th>tractce10</th>\n",
       "      <th>namelsad10</th>\n",
       "      <th>commarea</th>\n",
       "      <th>geoid10</th>\n",
       "      <th>commarea_n</th>\n",
       "      <th>name10</th>\n",
       "      <th>notes</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>17</td>\n",
       "      <td>031</td>\n",
       "      <td>842400</td>\n",
       "      <td>Census Tract 8424</td>\n",
       "      <td>44</td>\n",
       "      <td>17031842400</td>\n",
       "      <td>44.0</td>\n",
       "      <td>8424</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-87.62404799998049 41.73021699998396...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>17</td>\n",
       "      <td>031</td>\n",
       "      <td>840300</td>\n",
       "      <td>Census Tract 8403</td>\n",
       "      <td>59</td>\n",
       "      <td>17031840300</td>\n",
       "      <td>59.0</td>\n",
       "      <td>8403</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-87.6860799999848 41.82295600001154,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17</td>\n",
       "      <td>031</td>\n",
       "      <td>841100</td>\n",
       "      <td>Census Tract 8411</td>\n",
       "      <td>34</td>\n",
       "      <td>17031841100</td>\n",
       "      <td>34.0</td>\n",
       "      <td>8411</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-87.62934700001183 41.8527970000265,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17</td>\n",
       "      <td>031</td>\n",
       "      <td>841200</td>\n",
       "      <td>Census Tract 8412</td>\n",
       "      <td>31</td>\n",
       "      <td>17031841200</td>\n",
       "      <td>31.0</td>\n",
       "      <td>8412</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-87.68813499997718 41.85569099999095...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17</td>\n",
       "      <td>031</td>\n",
       "      <td>838200</td>\n",
       "      <td>Census Tract 8382</td>\n",
       "      <td>28</td>\n",
       "      <td>17031838200</td>\n",
       "      <td>28.0</td>\n",
       "      <td>8382</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-87.66781999997529 41.8741839999791,...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  statefp10 countyfp10 tractce10         namelsad10 commarea      geoid10  \\\n",
       "0        17        031    842400  Census Tract 8424       44  17031842400   \n",
       "1        17        031    840300  Census Tract 8403       59  17031840300   \n",
       "2        17        031    841100  Census Tract 8411       34  17031841100   \n",
       "3        17        031    841200  Census Tract 8412       31  17031841200   \n",
       "4        17        031    838200  Census Tract 8382       28  17031838200   \n",
       "\n",
       "   commarea_n name10 notes                                           geometry  \n",
       "0        44.0   8424  None  POLYGON ((-87.62404799998049 41.73021699998396...  \n",
       "1        59.0   8403  None  POLYGON ((-87.6860799999848 41.82295600001154,...  \n",
       "2        34.0   8411  None  POLYGON ((-87.62934700001183 41.8527970000265,...  \n",
       "3        31.0   8412  None  POLYGON ((-87.68813499997718 41.85569099999095...  \n",
       "4        28.0   8382  None  POLYGON ((-87.66781999997529 41.8741839999791,...  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chicago_census_tracts.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at just one of these census tracts, just to explore the operations we can do with Geopandas and Shapely."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2863d759eb8>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tmp = chicago_census_tracts[chicago_census_tracts['name10'] == '8424']\n",
    "tmp.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the plot above, the x axis shows longitude values and the y axis shows latitude values. I'll make two points, one inside the above region, and one outside that region."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "tmp_pt1 = Point(-87.63, 41.74)\n",
    "tmp_pt2 = Point(-87.63, 41.73)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    True\n",
       "dtype: bool"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Point 1 is in the region, so this should return True\n",
    "tmp.contains(tmp_pt1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Point 2 is outside the region, so this should return False\n",
    "tmp.contains(tmp_pt2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "CSV_PATH = os.path.join('data', 'hacknight_ticket_sample_data_2015.csv')\n",
    "df = pd.read_csv(CSV_PATH,low_memory=False, parse_dates=['issue_date', 'ticket_queue_date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "CSV_PATH = os.path.join('data', 'hacknight_sample_data_geocode.csv')\n",
    "addrs_df = pd.read_csv(CSV_PATH)\n",
    "addrs_df['address'] = addrs_df['address'] + ', chicago, il'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>ticket_number</th>\n",
       "      <th>issue_date</th>\n",
       "      <th>violation_location</th>\n",
       "      <th>license_plate_number</th>\n",
       "      <th>license_plate_state</th>\n",
       "      <th>license_plate_type</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>violation_code</th>\n",
       "      <th>violation_description</th>\n",
       "      <th>unit</th>\n",
       "      <th>unit_description</th>\n",
       "      <th>vehicle_make</th>\n",
       "      <th>fine_level1_amount</th>\n",
       "      <th>fine_level2_amount</th>\n",
       "      <th>current_amount_due</th>\n",
       "      <th>total_payments</th>\n",
       "      <th>ticket_queue</th>\n",
       "      <th>ticket_queue_date</th>\n",
       "      <th>notice_level</th>\n",
       "      <th>hearing_disposition</th>\n",
       "      <th>notice_number</th>\n",
       "      <th>officer</th>\n",
       "      <th>address</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9188814621</td>\n",
       "      <td>2015-05-07 13:52:00</td>\n",
       "      <td>2134 S ARCHER AV</td>\n",
       "      <td>7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...</td>\n",
       "      <td>MI</td>\n",
       "      <td>PAS</td>\n",
       "      <td>48103</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>BUIC</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>798</td>\n",
       "      <td>2100 s archer av, chicago, il</td>\n",
       "      <td>41.854262</td>\n",
       "      <td>-87.631986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9188417037</td>\n",
       "      <td>2015-01-01 21:29:00</td>\n",
       "      <td>2167 S ARCHER AV</td>\n",
       "      <td>ac7f6f4be49dfa223571838e586653aa5cdcb6bdfc6385...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>502</td>\n",
       "      <td>DOF</td>\n",
       "      <td>MITS</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-01-05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1529</td>\n",
       "      <td>2100 s archer av, chicago, il</td>\n",
       "      <td>41.854262</td>\n",
       "      <td>-87.631986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9188598734</td>\n",
       "      <td>2015-03-26 13:14:00</td>\n",
       "      <td>2140 S ARCHER AV</td>\n",
       "      <td>a493850f62c8ca5a25787271859f0409c289fb84130f33...</td>\n",
       "      <td>OH</td>\n",
       "      <td>PAS</td>\n",
       "      <td>45409</td>\n",
       "      <td>0976160A</td>\n",
       "      <td>REAR AND FRONT PLATE REQUIRED</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>PORS</td>\n",
       "      <td>60</td>\n",
       "      <td>120</td>\n",
       "      <td>146.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Notice</td>\n",
       "      <td>2015-04-08</td>\n",
       "      <td>SEIZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5191566530</td>\n",
       "      <td>780</td>\n",
       "      <td>2100 s archer av, chicago, il</td>\n",
       "      <td>41.854262</td>\n",
       "      <td>-87.631986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9189154639</td>\n",
       "      <td>2015-07-24 14:18:00</td>\n",
       "      <td>2172 S ARCHER AV</td>\n",
       "      <td>38a1ef0c0a325c79e9dba69f6e96652fcbf1e9dcb5db3f...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>606161514</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>MERZ</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Dismissed</td>\n",
       "      <td>2015-09-14</td>\n",
       "      <td>VIOL</td>\n",
       "      <td>Not Liable</td>\n",
       "      <td>5176435360</td>\n",
       "      <td>796</td>\n",
       "      <td>2100 s archer av, chicago, il</td>\n",
       "      <td>41.854262</td>\n",
       "      <td>-87.631986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9188041623</td>\n",
       "      <td>2015-01-17 14:45:00</td>\n",
       "      <td>2107 S ARCHER AV</td>\n",
       "      <td>e3c39cce6c30735cc977656a463233ea6f516328828e8d...</td>\n",
       "      <td>LA</td>\n",
       "      <td>PAS</td>\n",
       "      <td>70072</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>502</td>\n",
       "      <td>DOF</td>\n",
       "      <td>HOND</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>122.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Notice</td>\n",
       "      <td>2015-02-04</td>\n",
       "      <td>SEIZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5181845840</td>\n",
       "      <td>1461</td>\n",
       "      <td>2100 s archer av, chicago, il</td>\n",
       "      <td>41.854262</td>\n",
       "      <td>-87.631986</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ticket_number          issue_date violation_location  \\\n",
       "0     9188814621 2015-05-07 13:52:00   2134 S ARCHER AV   \n",
       "1     9188417037 2015-01-01 21:29:00   2167 S ARCHER AV   \n",
       "2     9188598734 2015-03-26 13:14:00   2140 S ARCHER AV   \n",
       "3     9189154639 2015-07-24 14:18:00   2172 S ARCHER AV   \n",
       "4     9188041623 2015-01-17 14:45:00   2107 S ARCHER AV   \n",
       "\n",
       "                                license_plate_number license_plate_state  \\\n",
       "0  7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...                  MI   \n",
       "1  ac7f6f4be49dfa223571838e586653aa5cdcb6bdfc6385...                  IL   \n",
       "2  a493850f62c8ca5a25787271859f0409c289fb84130f33...                  OH   \n",
       "3  38a1ef0c0a325c79e9dba69f6e96652fcbf1e9dcb5db3f...                  IL   \n",
       "4  e3c39cce6c30735cc977656a463233ea6f516328828e8d...                  LA   \n",
       "\n",
       "  license_plate_type    zipcode violation_code  \\\n",
       "0                PAS      48103       0964190A   \n",
       "1                PAS        NaN       0964190A   \n",
       "2                PAS      45409       0976160A   \n",
       "3                PAS  606161514       0964190A   \n",
       "4                PAS      70072       0964190A   \n",
       "\n",
       "                      violation_description  unit unit_description  \\\n",
       "0  EXP. METER NON-CENTRAL BUSINESS DISTRICT   498              DOF   \n",
       "1  EXP. METER NON-CENTRAL BUSINESS DISTRICT   502              DOF   \n",
       "2             REAR AND FRONT PLATE REQUIRED   498              DOF   \n",
       "3  EXP. METER NON-CENTRAL BUSINESS DISTRICT   498              DOF   \n",
       "4  EXP. METER NON-CENTRAL BUSINESS DISTRICT   502              DOF   \n",
       "\n",
       "  vehicle_make  fine_level1_amount  fine_level2_amount  current_amount_due  \\\n",
       "0         BUIC                  50                 100                 0.0   \n",
       "1         MITS                  50                 100                 0.0   \n",
       "2         PORS                  60                 120               146.4   \n",
       "3         MERZ                  50                 100                 0.0   \n",
       "4         HOND                  50                 100               122.0   \n",
       "\n",
       "   total_payments ticket_queue ticket_queue_date notice_level  \\\n",
       "0            50.0         Paid        2015-05-13          NaN   \n",
       "1            50.0         Paid        2015-01-05          NaN   \n",
       "2             0.0       Notice        2015-04-08         SEIZ   \n",
       "3             0.0    Dismissed        2015-09-14         VIOL   \n",
       "4             0.0       Notice        2015-02-04         SEIZ   \n",
       "\n",
       "  hearing_disposition  notice_number officer                        address  \\\n",
       "0                 NaN              0     798  2100 s archer av, chicago, il   \n",
       "1                 NaN              0    1529  2100 s archer av, chicago, il   \n",
       "2                 NaN     5191566530     780  2100 s archer av, chicago, il   \n",
       "3          Not Liable     5176435360     796  2100 s archer av, chicago, il   \n",
       "4                 NaN     5181845840    1461  2100 s archer av, chicago, il   \n",
       "\n",
       "         lat        lng  \n",
       "0  41.854262 -87.631986  \n",
       "1  41.854262 -87.631986  \n",
       "2  41.854262 -87.631986  \n",
       "3  41.854262 -87.631986  \n",
       "4  41.854262 -87.631986  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geocoded_df = pd.merge(left=df, right=addrs_df, how='inner', on='address')\n",
    "geocoded_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I need to make Point objects from the latitude and longitude values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "point_maker = lambda x: Point(x['lng'], x['lat'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "90     POINT (-87.63198586874586 41.85426174412816)\n",
       "91     POINT (-87.63198586874586 41.85426174412816)\n",
       "92     POINT (-87.63198586874586 41.85426174412816)\n",
       "93     POINT (-87.63198586874586 41.85426174412816)\n",
       "94     POINT (-87.63198586874586 41.85426174412816)\n",
       "95     POINT (-87.63198586874586 41.85426174412816)\n",
       "96     POINT (-87.63198586874586 41.85426174412816)\n",
       "97     POINT (-87.63198586874586 41.85426174412816)\n",
       "98          POINT (-87.7554106162966 41.8879183222)\n",
       "99          POINT (-87.7554106162966 41.8879183222)\n",
       "100         POINT (-87.7554106162966 41.8879183222)\n",
       "101         POINT (-87.7554106162966 41.8879183222)\n",
       "102         POINT (-87.7554106162966 41.8879183222)\n",
       "103         POINT (-87.7554106162966 41.8879183222)\n",
       "104    POINT (-87.66162070827761 41.94533245133371)\n",
       "105    POINT (-87.66162070827761 41.94533245133371)\n",
       "106    POINT (-87.66162070827761 41.94533245133371)\n",
       "107    POINT (-87.66162070827761 41.94533245133371)\n",
       "108    POINT (-87.66162070827761 41.94533245133371)\n",
       "109    POINT (-87.66162070827761 41.94533245133371)\n",
       "dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geocoded_df.iloc[90:110].apply(point_maker, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "geocoded_df['geometry'] = geocoded_df.apply(point_maker, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ticket_number</th>\n",
       "      <th>issue_date</th>\n",
       "      <th>violation_location</th>\n",
       "      <th>license_plate_number</th>\n",
       "      <th>license_plate_state</th>\n",
       "      <th>license_plate_type</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>violation_code</th>\n",
       "      <th>violation_description</th>\n",
       "      <th>unit</th>\n",
       "      <th>unit_description</th>\n",
       "      <th>vehicle_make</th>\n",
       "      <th>fine_level1_amount</th>\n",
       "      <th>fine_level2_amount</th>\n",
       "      <th>current_amount_due</th>\n",
       "      <th>total_payments</th>\n",
       "      <th>ticket_queue</th>\n",
       "      <th>ticket_queue_date</th>\n",
       "      <th>notice_level</th>\n",
       "      <th>hearing_disposition</th>\n",
       "      <th>notice_number</th>\n",
       "      <th>officer</th>\n",
       "      <th>address</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9188814621</td>\n",
       "      <td>2015-05-07 13:52:00</td>\n",
       "      <td>2134 S ARCHER AV</td>\n",
       "      <td>7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...</td>\n",
       "      <td>MI</td>\n",
       "      <td>PAS</td>\n",
       "      <td>48103</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>BUIC</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>798</td>\n",
       "      <td>2100 s archer av, chicago, il</td>\n",
       "      <td>41.854262</td>\n",
       "      <td>-87.631986</td>\n",
       "      <td>POINT (-87.63198586874586 41.85426174412816)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9188417037</td>\n",
       "      <td>2015-01-01 21:29:00</td>\n",
       "      <td>2167 S ARCHER AV</td>\n",
       "      <td>ac7f6f4be49dfa223571838e586653aa5cdcb6bdfc6385...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>502</td>\n",
       "      <td>DOF</td>\n",
       "      <td>MITS</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-01-05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1529</td>\n",
       "      <td>2100 s archer av, chicago, il</td>\n",
       "      <td>41.854262</td>\n",
       "      <td>-87.631986</td>\n",
       "      <td>POINT (-87.63198586874586 41.85426174412816)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9188598734</td>\n",
       "      <td>2015-03-26 13:14:00</td>\n",
       "      <td>2140 S ARCHER AV</td>\n",
       "      <td>a493850f62c8ca5a25787271859f0409c289fb84130f33...</td>\n",
       "      <td>OH</td>\n",
       "      <td>PAS</td>\n",
       "      <td>45409</td>\n",
       "      <td>0976160A</td>\n",
       "      <td>REAR AND FRONT PLATE REQUIRED</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>PORS</td>\n",
       "      <td>60</td>\n",
       "      <td>120</td>\n",
       "      <td>146.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Notice</td>\n",
       "      <td>2015-04-08</td>\n",
       "      <td>SEIZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5191566530</td>\n",
       "      <td>780</td>\n",
       "      <td>2100 s archer av, chicago, il</td>\n",
       "      <td>41.854262</td>\n",
       "      <td>-87.631986</td>\n",
       "      <td>POINT (-87.63198586874586 41.85426174412816)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9189154639</td>\n",
       "      <td>2015-07-24 14:18:00</td>\n",
       "      <td>2172 S ARCHER AV</td>\n",
       "      <td>38a1ef0c0a325c79e9dba69f6e96652fcbf1e9dcb5db3f...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>606161514</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>MERZ</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Dismissed</td>\n",
       "      <td>2015-09-14</td>\n",
       "      <td>VIOL</td>\n",
       "      <td>Not Liable</td>\n",
       "      <td>5176435360</td>\n",
       "      <td>796</td>\n",
       "      <td>2100 s archer av, chicago, il</td>\n",
       "      <td>41.854262</td>\n",
       "      <td>-87.631986</td>\n",
       "      <td>POINT (-87.63198586874586 41.85426174412816)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9188041623</td>\n",
       "      <td>2015-01-17 14:45:00</td>\n",
       "      <td>2107 S ARCHER AV</td>\n",
       "      <td>e3c39cce6c30735cc977656a463233ea6f516328828e8d...</td>\n",
       "      <td>LA</td>\n",
       "      <td>PAS</td>\n",
       "      <td>70072</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>502</td>\n",
       "      <td>DOF</td>\n",
       "      <td>HOND</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>122.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Notice</td>\n",
       "      <td>2015-02-04</td>\n",
       "      <td>SEIZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5181845840</td>\n",
       "      <td>1461</td>\n",
       "      <td>2100 s archer av, chicago, il</td>\n",
       "      <td>41.854262</td>\n",
       "      <td>-87.631986</td>\n",
       "      <td>POINT (-87.63198586874586 41.85426174412816)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ticket_number          issue_date violation_location  \\\n",
       "0     9188814621 2015-05-07 13:52:00   2134 S ARCHER AV   \n",
       "1     9188417037 2015-01-01 21:29:00   2167 S ARCHER AV   \n",
       "2     9188598734 2015-03-26 13:14:00   2140 S ARCHER AV   \n",
       "3     9189154639 2015-07-24 14:18:00   2172 S ARCHER AV   \n",
       "4     9188041623 2015-01-17 14:45:00   2107 S ARCHER AV   \n",
       "\n",
       "                                license_plate_number license_plate_state  \\\n",
       "0  7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...                  MI   \n",
       "1  ac7f6f4be49dfa223571838e586653aa5cdcb6bdfc6385...                  IL   \n",
       "2  a493850f62c8ca5a25787271859f0409c289fb84130f33...                  OH   \n",
       "3  38a1ef0c0a325c79e9dba69f6e96652fcbf1e9dcb5db3f...                  IL   \n",
       "4  e3c39cce6c30735cc977656a463233ea6f516328828e8d...                  LA   \n",
       "\n",
       "  license_plate_type    zipcode violation_code  \\\n",
       "0                PAS      48103       0964190A   \n",
       "1                PAS        NaN       0964190A   \n",
       "2                PAS      45409       0976160A   \n",
       "3                PAS  606161514       0964190A   \n",
       "4                PAS      70072       0964190A   \n",
       "\n",
       "                      violation_description  unit unit_description  \\\n",
       "0  EXP. METER NON-CENTRAL BUSINESS DISTRICT   498              DOF   \n",
       "1  EXP. METER NON-CENTRAL BUSINESS DISTRICT   502              DOF   \n",
       "2             REAR AND FRONT PLATE REQUIRED   498              DOF   \n",
       "3  EXP. METER NON-CENTRAL BUSINESS DISTRICT   498              DOF   \n",
       "4  EXP. METER NON-CENTRAL BUSINESS DISTRICT   502              DOF   \n",
       "\n",
       "  vehicle_make  fine_level1_amount  fine_level2_amount  current_amount_due  \\\n",
       "0         BUIC                  50                 100                 0.0   \n",
       "1         MITS                  50                 100                 0.0   \n",
       "2         PORS                  60                 120               146.4   \n",
       "3         MERZ                  50                 100                 0.0   \n",
       "4         HOND                  50                 100               122.0   \n",
       "\n",
       "   total_payments ticket_queue ticket_queue_date notice_level  \\\n",
       "0            50.0         Paid        2015-05-13          NaN   \n",
       "1            50.0         Paid        2015-01-05          NaN   \n",
       "2             0.0       Notice        2015-04-08         SEIZ   \n",
       "3             0.0    Dismissed        2015-09-14         VIOL   \n",
       "4             0.0       Notice        2015-02-04         SEIZ   \n",
       "\n",
       "  hearing_disposition  notice_number officer                        address  \\\n",
       "0                 NaN              0     798  2100 s archer av, chicago, il   \n",
       "1                 NaN              0    1529  2100 s archer av, chicago, il   \n",
       "2                 NaN     5191566530     780  2100 s archer av, chicago, il   \n",
       "3          Not Liable     5176435360     796  2100 s archer av, chicago, il   \n",
       "4                 NaN     5181845840    1461  2100 s archer av, chicago, il   \n",
       "\n",
       "         lat        lng                                      geometry  \n",
       "0  41.854262 -87.631986  POINT (-87.63198586874586 41.85426174412816)  \n",
       "1  41.854262 -87.631986  POINT (-87.63198586874586 41.85426174412816)  \n",
       "2  41.854262 -87.631986  POINT (-87.63198586874586 41.85426174412816)  \n",
       "3  41.854262 -87.631986  POINT (-87.63198586874586 41.85426174412816)  \n",
       "4  41.854262 -87.631986  POINT (-87.63198586874586 41.85426174412816)  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geocoded_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>statefp10</th>\n",
       "      <th>countyfp10</th>\n",
       "      <th>tractce10</th>\n",
       "      <th>namelsad10</th>\n",
       "      <th>commarea</th>\n",
       "      <th>geoid10</th>\n",
       "      <th>commarea_n</th>\n",
       "      <th>name10</th>\n",
       "      <th>notes</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>17</td>\n",
       "      <td>031</td>\n",
       "      <td>842400</td>\n",
       "      <td>Census Tract 8424</td>\n",
       "      <td>44</td>\n",
       "      <td>17031842400</td>\n",
       "      <td>44.0</td>\n",
       "      <td>8424</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-87.62404799998049 41.73021699998396...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>17</td>\n",
       "      <td>031</td>\n",
       "      <td>840300</td>\n",
       "      <td>Census Tract 8403</td>\n",
       "      <td>59</td>\n",
       "      <td>17031840300</td>\n",
       "      <td>59.0</td>\n",
       "      <td>8403</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-87.6860799999848 41.82295600001154,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17</td>\n",
       "      <td>031</td>\n",
       "      <td>841100</td>\n",
       "      <td>Census Tract 8411</td>\n",
       "      <td>34</td>\n",
       "      <td>17031841100</td>\n",
       "      <td>34.0</td>\n",
       "      <td>8411</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-87.62934700001183 41.8527970000265,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17</td>\n",
       "      <td>031</td>\n",
       "      <td>841200</td>\n",
       "      <td>Census Tract 8412</td>\n",
       "      <td>31</td>\n",
       "      <td>17031841200</td>\n",
       "      <td>31.0</td>\n",
       "      <td>8412</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-87.68813499997718 41.85569099999095...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17</td>\n",
       "      <td>031</td>\n",
       "      <td>838200</td>\n",
       "      <td>Census Tract 8382</td>\n",
       "      <td>28</td>\n",
       "      <td>17031838200</td>\n",
       "      <td>28.0</td>\n",
       "      <td>8382</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-87.66781999997529 41.8741839999791,...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  statefp10 countyfp10 tractce10         namelsad10 commarea      geoid10  \\\n",
       "0        17        031    842400  Census Tract 8424       44  17031842400   \n",
       "1        17        031    840300  Census Tract 8403       59  17031840300   \n",
       "2        17        031    841100  Census Tract 8411       34  17031841100   \n",
       "3        17        031    841200  Census Tract 8412       31  17031841200   \n",
       "4        17        031    838200  Census Tract 8382       28  17031838200   \n",
       "\n",
       "   commarea_n name10 notes                                           geometry  \n",
       "0        44.0   8424  None  POLYGON ((-87.62404799998049 41.73021699998396...  \n",
       "1        59.0   8403  None  POLYGON ((-87.6860799999848 41.82295600001154,...  \n",
       "2        34.0   8411  None  POLYGON ((-87.62934700001183 41.8527970000265,...  \n",
       "3        31.0   8412  None  POLYGON ((-87.68813499997718 41.85569099999095...  \n",
       "4        28.0   8382  None  POLYGON ((-87.66781999997529 41.8741839999791,...  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chicago_census_tracts.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def assign_census_tracts(df, shape_df, locid_var='census_tract_id'):\n",
    "    \"\"\"Joins DataFrame with region shapefile.\n",
    "    This function takes a DataFrame containing latitude and longitude values and\n",
    "    a GeopandasDataFrame that describes regions that those lat-long pairs are sorted\n",
    "    into. This should facilitate pairing with Census data that can introduce other\n",
    "    features like racial demographics.\n",
    "    Parameters\n",
    "    ----------\n",
    "    df : pandas.DataFrame or dask.DataFrame\n",
    "        DataFrame containing latitudes, longitudes, and location_id columns.\n",
    "    shape_df:    a GeopandasDataFrame containing regions to map to.\n",
    "    locid_var : string\n",
    "        Name of series to return. \n",
    "    \"\"\"\n",
    "\n",
    "    # make a copy since we will modify lats and lons\n",
    "#     localdf = df[['lng', 'lat']].copy()\n",
    "    localdf = df.copy()\n",
    "    \n",
    "    # missing lat lon info is indicated by nan. Fill with zero\n",
    "    # which is outside New York shapefile. \n",
    "    localdf['lng'] = localdf['lng'].fillna(value=0.)\n",
    "    localdf['lat'] = localdf['lat'].fillna(value=0.)\n",
    "    \n",
    "    shape_df = shape_df.to_crs({'init': 'epsg:4326'})\n",
    "\n",
    "    try:\n",
    "        local_gdf = gpd.GeoDataFrame(\n",
    "            localdf, crs={'init': 'epsg:4326'},\n",
    "            geometry=[Point(xy) for xy in zip(localdf['lng'], localdf['lat'])]\n",
    "        )\n",
    "\n",
    "        local_gdf = gpd.sjoin(local_gdf, shape_df, how='left', op='within')\n",
    "\n",
    "        return local_gdf\n",
    "    except ValueError as ve:\n",
    "        print(ve)\n",
    "        print(ve.stacktrace())\n",
    "        series = localdf['lng']\n",
    "        series = np.nan\n",
    "        return series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "full_df = assign_census_tracts(geocoded_df, chicago_census_tracts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ticket_number</th>\n",
       "      <th>issue_date</th>\n",
       "      <th>violation_location</th>\n",
       "      <th>license_plate_number</th>\n",
       "      <th>license_plate_state</th>\n",
       "      <th>license_plate_type</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>violation_code</th>\n",
       "      <th>violation_description</th>\n",
       "      <th>unit</th>\n",
       "      <th>unit_description</th>\n",
       "      <th>vehicle_make</th>\n",
       "      <th>fine_level1_amount</th>\n",
       "      <th>fine_level2_amount</th>\n",
       "      <th>current_amount_due</th>\n",
       "      <th>total_payments</th>\n",
       "      <th>ticket_queue</th>\n",
       "      <th>ticket_queue_date</th>\n",
       "      <th>notice_level</th>\n",
       "      <th>hearing_disposition</th>\n",
       "      <th>notice_number</th>\n",
       "      <th>officer</th>\n",
       "      <th>address</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>geometry</th>\n",
       "      <th>index_right</th>\n",
       "      <th>statefp10</th>\n",
       "      <th>countyfp10</th>\n",
       "      <th>tractce10</th>\n",
       "      <th>namelsad10</th>\n",
       "      <th>commarea</th>\n",
       "      <th>geoid10</th>\n",
       "      <th>commarea_n</th>\n",
       "      <th>name10</th>\n",
       "      <th>notes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>9188814621</td>\n",
       "      <td>2015-05-07 13:52:00</td>\n",
       "      <td>2134 S ARCHER AV</td>\n",
       "      <td>7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...</td>\n",
       "      <td>MI</td>\n",
       "      <td>PAS</td>\n",
       "      <td>48103</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>BUIC</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-05-13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>798</td>\n",
       "      <td>2100 s archer av, chicago, il</td>\n",
       "      <td>41.854262</td>\n",
       "      <td>-87.631986</td>\n",
       "      <td>POINT (-87.63198586874586 41.85426174412816)</td>\n",
       "      <td>2.0</td>\n",
       "      <td>17</td>\n",
       "      <td>031</td>\n",
       "      <td>841100</td>\n",
       "      <td>Census Tract 8411</td>\n",
       "      <td>34</td>\n",
       "      <td>17031841100</td>\n",
       "      <td>34.0</td>\n",
       "      <td>8411</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9188417037</td>\n",
       "      <td>2015-01-01 21:29:00</td>\n",
       "      <td>2167 S ARCHER AV</td>\n",
       "      <td>ac7f6f4be49dfa223571838e586653aa5cdcb6bdfc6385...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>502</td>\n",
       "      <td>DOF</td>\n",
       "      <td>MITS</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-01-05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1529</td>\n",
       "      <td>2100 s archer av, chicago, il</td>\n",
       "      <td>41.854262</td>\n",
       "      <td>-87.631986</td>\n",
       "      <td>POINT (-87.63198586874586 41.85426174412816)</td>\n",
       "      <td>2.0</td>\n",
       "      <td>17</td>\n",
       "      <td>031</td>\n",
       "      <td>841100</td>\n",
       "      <td>Census Tract 8411</td>\n",
       "      <td>34</td>\n",
       "      <td>17031841100</td>\n",
       "      <td>34.0</td>\n",
       "      <td>8411</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9188598734</td>\n",
       "      <td>2015-03-26 13:14:00</td>\n",
       "      <td>2140 S ARCHER AV</td>\n",
       "      <td>a493850f62c8ca5a25787271859f0409c289fb84130f33...</td>\n",
       "      <td>OH</td>\n",
       "      <td>PAS</td>\n",
       "      <td>45409</td>\n",
       "      <td>0976160A</td>\n",
       "      <td>REAR AND FRONT PLATE REQUIRED</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>PORS</td>\n",
       "      <td>60</td>\n",
       "      <td>120</td>\n",
       "      <td>146.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Notice</td>\n",
       "      <td>2015-04-08</td>\n",
       "      <td>SEIZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5191566530</td>\n",
       "      <td>780</td>\n",
       "      <td>2100 s archer av, chicago, il</td>\n",
       "      <td>41.854262</td>\n",
       "      <td>-87.631986</td>\n",
       "      <td>POINT (-87.63198586874586 41.85426174412816)</td>\n",
       "      <td>2.0</td>\n",
       "      <td>17</td>\n",
       "      <td>031</td>\n",
       "      <td>841100</td>\n",
       "      <td>Census Tract 8411</td>\n",
       "      <td>34</td>\n",
       "      <td>17031841100</td>\n",
       "      <td>34.0</td>\n",
       "      <td>8411</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9189154639</td>\n",
       "      <td>2015-07-24 14:18:00</td>\n",
       "      <td>2172 S ARCHER AV</td>\n",
       "      <td>38a1ef0c0a325c79e9dba69f6e96652fcbf1e9dcb5db3f...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>606161514</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>MERZ</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Dismissed</td>\n",
       "      <td>2015-09-14</td>\n",
       "      <td>VIOL</td>\n",
       "      <td>Not Liable</td>\n",
       "      <td>5176435360</td>\n",
       "      <td>796</td>\n",
       "      <td>2100 s archer av, chicago, il</td>\n",
       "      <td>41.854262</td>\n",
       "      <td>-87.631986</td>\n",
       "      <td>POINT (-87.63198586874586 41.85426174412816)</td>\n",
       "      <td>2.0</td>\n",
       "      <td>17</td>\n",
       "      <td>031</td>\n",
       "      <td>841100</td>\n",
       "      <td>Census Tract 8411</td>\n",
       "      <td>34</td>\n",
       "      <td>17031841100</td>\n",
       "      <td>34.0</td>\n",
       "      <td>8411</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9188041623</td>\n",
       "      <td>2015-01-17 14:45:00</td>\n",
       "      <td>2107 S ARCHER AV</td>\n",
       "      <td>e3c39cce6c30735cc977656a463233ea6f516328828e8d...</td>\n",
       "      <td>LA</td>\n",
       "      <td>PAS</td>\n",
       "      <td>70072</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>502</td>\n",
       "      <td>DOF</td>\n",
       "      <td>HOND</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>122.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Notice</td>\n",
       "      <td>2015-02-04</td>\n",
       "      <td>SEIZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5181845840</td>\n",
       "      <td>1461</td>\n",
       "      <td>2100 s archer av, chicago, il</td>\n",
       "      <td>41.854262</td>\n",
       "      <td>-87.631986</td>\n",
       "      <td>POINT (-87.63198586874586 41.85426174412816)</td>\n",
       "      <td>2.0</td>\n",
       "      <td>17</td>\n",
       "      <td>031</td>\n",
       "      <td>841100</td>\n",
       "      <td>Census Tract 8411</td>\n",
       "      <td>34</td>\n",
       "      <td>17031841100</td>\n",
       "      <td>34.0</td>\n",
       "      <td>8411</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ticket_number          issue_date violation_location  \\\n",
       "0     9188814621 2015-05-07 13:52:00   2134 S ARCHER AV   \n",
       "1     9188417037 2015-01-01 21:29:00   2167 S ARCHER AV   \n",
       "2     9188598734 2015-03-26 13:14:00   2140 S ARCHER AV   \n",
       "3     9189154639 2015-07-24 14:18:00   2172 S ARCHER AV   \n",
       "4     9188041623 2015-01-17 14:45:00   2107 S ARCHER AV   \n",
       "\n",
       "                                license_plate_number license_plate_state  \\\n",
       "0  7c189a16ef79db9413c1f46b7e5d1712e5c0c1575be352...                  MI   \n",
       "1  ac7f6f4be49dfa223571838e586653aa5cdcb6bdfc6385...                  IL   \n",
       "2  a493850f62c8ca5a25787271859f0409c289fb84130f33...                  OH   \n",
       "3  38a1ef0c0a325c79e9dba69f6e96652fcbf1e9dcb5db3f...                  IL   \n",
       "4  e3c39cce6c30735cc977656a463233ea6f516328828e8d...                  LA   \n",
       "\n",
       "  license_plate_type    zipcode violation_code  \\\n",
       "0                PAS      48103       0964190A   \n",
       "1                PAS        NaN       0964190A   \n",
       "2                PAS      45409       0976160A   \n",
       "3                PAS  606161514       0964190A   \n",
       "4                PAS      70072       0964190A   \n",
       "\n",
       "                      violation_description  unit unit_description  \\\n",
       "0  EXP. METER NON-CENTRAL BUSINESS DISTRICT   498              DOF   \n",
       "1  EXP. METER NON-CENTRAL BUSINESS DISTRICT   502              DOF   \n",
       "2             REAR AND FRONT PLATE REQUIRED   498              DOF   \n",
       "3  EXP. METER NON-CENTRAL BUSINESS DISTRICT   498              DOF   \n",
       "4  EXP. METER NON-CENTRAL BUSINESS DISTRICT   502              DOF   \n",
       "\n",
       "  vehicle_make  fine_level1_amount  fine_level2_amount  current_amount_due  \\\n",
       "0         BUIC                  50                 100                 0.0   \n",
       "1         MITS                  50                 100                 0.0   \n",
       "2         PORS                  60                 120               146.4   \n",
       "3         MERZ                  50                 100                 0.0   \n",
       "4         HOND                  50                 100               122.0   \n",
       "\n",
       "   total_payments ticket_queue ticket_queue_date notice_level  \\\n",
       "0            50.0         Paid        2015-05-13          NaN   \n",
       "1            50.0         Paid        2015-01-05          NaN   \n",
       "2             0.0       Notice        2015-04-08         SEIZ   \n",
       "3             0.0    Dismissed        2015-09-14         VIOL   \n",
       "4             0.0       Notice        2015-02-04         SEIZ   \n",
       "\n",
       "  hearing_disposition  notice_number officer                        address  \\\n",
       "0                 NaN              0     798  2100 s archer av, chicago, il   \n",
       "1                 NaN              0    1529  2100 s archer av, chicago, il   \n",
       "2                 NaN     5191566530     780  2100 s archer av, chicago, il   \n",
       "3          Not Liable     5176435360     796  2100 s archer av, chicago, il   \n",
       "4                 NaN     5181845840    1461  2100 s archer av, chicago, il   \n",
       "\n",
       "         lat        lng                                      geometry  \\\n",
       "0  41.854262 -87.631986  POINT (-87.63198586874586 41.85426174412816)   \n",
       "1  41.854262 -87.631986  POINT (-87.63198586874586 41.85426174412816)   \n",
       "2  41.854262 -87.631986  POINT (-87.63198586874586 41.85426174412816)   \n",
       "3  41.854262 -87.631986  POINT (-87.63198586874586 41.85426174412816)   \n",
       "4  41.854262 -87.631986  POINT (-87.63198586874586 41.85426174412816)   \n",
       "\n",
       "   index_right statefp10 countyfp10 tractce10         namelsad10 commarea  \\\n",
       "0          2.0        17        031    841100  Census Tract 8411       34   \n",
       "1          2.0        17        031    841100  Census Tract 8411       34   \n",
       "2          2.0        17        031    841100  Census Tract 8411       34   \n",
       "3          2.0        17        031    841100  Census Tract 8411       34   \n",
       "4          2.0        17        031    841100  Census Tract 8411       34   \n",
       "\n",
       "       geoid10  commarea_n name10 notes  \n",
       "0  17031841100        34.0   8411  None  \n",
       "1  17031841100        34.0   8411  None  \n",
       "2  17031841100        34.0   8411  None  \n",
       "3  17031841100        34.0   8411  None  \n",
       "4  17031841100        34.0   8411  None  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2863fdb8978>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "full_df.plot(figsize=(12,6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at this plot of latitude and longitude values, there are clearly some outlier values. Let's see what the proper boundaries are for Chicago, then let's look at these outliers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "ZIP_SHP_PATH = os.path.join('zip://', 'data', 'Boundaries - City.zip')\n",
    "coord_system = {'init': 'epsg:4326'}\n",
    "chicago_boundary = gpd.read_file(ZIP_SHP_PATH).to_crs(coord_system)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "chicago_boundary.plot(ax=ax)\n",
    "ax.grid(True, alpha=0.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at this plot, we see that all of the points in Chicago will be between longitude values [-88.0 and -87.5], and the latitude values will be between [41.63 and 42.05]. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "outside_points = full_df[(full_df['lat'] <= 41.63) | (full_df['lat'] >= 42.05) | \n",
    "                         (full_df['lng'] <= -88.0) | (full_df['lng'] >= -87.5)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(87, 36)"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outside_points.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,10))\n",
    "outside_points.plot(ax=ax)\n",
    "ax.grid(True, alpha=0.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at that extremely distant point first."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "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>ticket_number</th>\n",
       "      <th>issue_date</th>\n",
       "      <th>violation_location</th>\n",
       "      <th>license_plate_number</th>\n",
       "      <th>license_plate_state</th>\n",
       "      <th>license_plate_type</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>violation_code</th>\n",
       "      <th>violation_description</th>\n",
       "      <th>unit</th>\n",
       "      <th>unit_description</th>\n",
       "      <th>vehicle_make</th>\n",
       "      <th>fine_level1_amount</th>\n",
       "      <th>fine_level2_amount</th>\n",
       "      <th>current_amount_due</th>\n",
       "      <th>total_payments</th>\n",
       "      <th>ticket_queue</th>\n",
       "      <th>ticket_queue_date</th>\n",
       "      <th>notice_level</th>\n",
       "      <th>hearing_disposition</th>\n",
       "      <th>notice_number</th>\n",
       "      <th>officer</th>\n",
       "      <th>address</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>geometry</th>\n",
       "      <th>index_right</th>\n",
       "      <th>statefp10</th>\n",
       "      <th>countyfp10</th>\n",
       "      <th>tractce10</th>\n",
       "      <th>namelsad10</th>\n",
       "      <th>commarea</th>\n",
       "      <th>geoid10</th>\n",
       "      <th>commarea_n</th>\n",
       "      <th>name10</th>\n",
       "      <th>notes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>49340</th>\n",
       "      <td>9189730654</td>\n",
       "      <td>2015-12-02 10:06:00</td>\n",
       "      <td>1700 N SACRAMENTO</td>\n",
       "      <td>df95047db5ead4b1f7104c5e65a47ff7548862682283f5...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>60625</td>\n",
       "      <td>0964100A</td>\n",
       "      <td>WITHIN 15' OF FIRE HYDRANT</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>FORD</td>\n",
       "      <td>150</td>\n",
       "      <td>300</td>\n",
       "      <td>0.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>VIOL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5191746240</td>\n",
       "      <td>753</td>\n",
       "      <td>1700 n sacramento, chicago, il</td>\n",
       "      <td>38.573236</td>\n",
       "      <td>-121.485619</td>\n",
       "      <td>POINT (-121.4856192778291 38.57323611183575)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       ticket_number          issue_date violation_location  \\\n",
       "49340     9189730654 2015-12-02 10:06:00  1700 N SACRAMENTO   \n",
       "\n",
       "                                    license_plate_number license_plate_state  \\\n",
       "49340  df95047db5ead4b1f7104c5e65a47ff7548862682283f5...                  IL   \n",
       "\n",
       "      license_plate_type zipcode violation_code       violation_description  \\\n",
       "49340                PAS   60625       0964100A  WITHIN 15' OF FIRE HYDRANT   \n",
       "\n",
       "       unit unit_description vehicle_make  fine_level1_amount  \\\n",
       "49340   498              DOF         FORD                 150   \n",
       "\n",
       "       fine_level2_amount  current_amount_due  total_payments ticket_queue  \\\n",
       "49340                 300                 0.0           150.0         Paid   \n",
       "\n",
       "      ticket_queue_date notice_level hearing_disposition  notice_number  \\\n",
       "49340        2016-01-11         VIOL                 NaN     5191746240   \n",
       "\n",
       "      officer                         address        lat         lng  \\\n",
       "49340     753  1700 n sacramento, chicago, il  38.573236 -121.485619   \n",
       "\n",
       "                                           geometry  index_right statefp10  \\\n",
       "49340  POINT (-121.4856192778291 38.57323611183575)          NaN       NaN   \n",
       "\n",
       "      countyfp10 tractce10 namelsad10 commarea geoid10  commarea_n name10  \\\n",
       "49340        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "\n",
       "      notes  \n",
       "49340   NaN  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_df.loc[(full_df['lng'] < -110)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hmm, the address for that far left point is 1700 N. Sacramento. Perhaps the geocoder mistakenly thought this address was in Sacramento, CA. Let's check."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "class GeoSessions:\n",
    "    def __init__(self):\n",
    "        self.Arcgis = requests.Session()\n",
    "        self.Komoot = requests.Session()\n",
    "        self.USCensus = requests.Session()\n",
    "        self.OSM = requests.Session()\n",
    "\n",
    "def create_sessions():\n",
    "    return GeoSessions()\n",
    "\n",
    "def geocode_address(address, s):\n",
    "    g = geocoder.arcgis(address, session=s.Arcgis)\n",
    "    if (g.ok == False):\n",
    "        g = geocoder.komoot(address, session=s.Komoot)\n",
    "    if (g.ok == False):\n",
    "        g = geocoder.osm(address, session=s.OSM)\n",
    "    if (g.ok == False):\n",
    "        g = geocoder.uscensus(address, session=s.USCensus)\n",
    "    return g\n",
    "\n",
    "s = create_sessions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "49340    1700 n sacramento, chicago, il\n",
      "Name: address, dtype: object\n",
      "Latitude:  38.57321607908717\n",
      "Longitude: -121.48559899362336\n"
     ]
    }
   ],
   "source": [
    "addr = full_df.loc[(full_df['lng'] < -110), 'address']\n",
    "tmp = geocode_address(addr, s)\n",
    "print(addr)\n",
    "print('Latitude:  {}'.format(tmp.lat))\n",
    "print('Longitude: {}'.format(tmp.lng))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ok, so we can confirm that this error occurs when the ArcGIS geocoder geocodes the address. Let's rearange things a bit. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "def geocode_address(address, s):\n",
    "    g = geocoder.osm(address, session=s.OSM)\n",
    "    if (g.ok == False):\n",
    "        g = geocoder.komoot(address, session=s.Komoot)\n",
    "    if (g.ok == False):\n",
    "        g = geocoder.arcgis(address, session=s.Arcgis)\n",
    "    if (g.ok == False):\n",
    "        g = geocoder.uscensus(address, session=s.USCensus)\n",
    "    return g\n",
    "\n",
    "s = create_sessions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "49340    1700 n sacramento, chicago, il\n",
      "Name: address, dtype: object\n",
      "Latitude:  41.88964985\n",
      "Longitude: -87.7008938485065\n"
     ]
    }
   ],
   "source": [
    "addr = full_df.loc[(full_df['lng'] < -110), 'address']\n",
    "tmp = geocode_address(addr, s)\n",
    "print(addr)\n",
    "print('Latitude:  {}'.format(tmp.lat))\n",
    "print('Longitude: {}'.format(tmp.lng))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ah, using the OSM geocoder produced much more reasonable latitude and longitude values. Let's eliminate the ArcGIS geocoder from my geocode_address function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "def geocode_address(address, s):\n",
    "    g = geocoder.osm(address, session=s.OSM)\n",
    "    if (g.ok == False):\n",
    "        g = geocoder.komoot(address, session=s.Komoot)\n",
    "    if (g.ok == False):\n",
    "        g = geocoder.uscensus(address, session=s.USCensus)\n",
    "    if (g.ok == False):\n",
    "        g = geocoder.arcgis(address, session=s.Arcgis)\n",
    "    return g\n",
    "\n",
    "s = create_sessions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Status code Unknown from https://nominatim.openstreetmap.org/search: ERROR - HTTPSConnectionPool(host='nominatim.openstreetmap.org', port=443): Max retries exceeded with url: /search?q=900+w+sangamon%2C+chicago%2C+il&format=jsonv2&addressdetails=1&limit=1 (Caused by NewConnectionError('<urllib3.connection.VerifiedHTTPSConnection object at 0x0000028642FE5320>: Failed to establish a new connection: [WinError 10051] A socket operation was attempted to an unreachable network',))\n",
      "Status code Unknown from https://nominatim.openstreetmap.org/search: ERROR - HTTPSConnectionPool(host='nominatim.openstreetmap.org', port=443): Max retries exceeded with url: /search?q=1+e+113t+pl%2C+chicago%2C+il&format=jsonv2&addressdetails=1&limit=1 (Caused by NewConnectionError('<urllib3.connection.VerifiedHTTPSConnection object at 0x0000028642FEF358>: Failed to establish a new connection: [WinError 10051] A socket operation was attempted to an unreachable network',))\n",
      "Status code Unknown from https://nominatim.openstreetmap.org/search: ERROR - HTTPSConnectionPool(host='nominatim.openstreetmap.org', port=443): Max retries exceeded with url: /search?q=1600+n+damre%2C+chicago%2C+il&format=jsonv2&addressdetails=1&limit=1 (Caused by NewConnectionError('<urllib3.connection.VerifiedHTTPSConnection object at 0x0000028642FE5A90>: Failed to establish a new connection: [WinError 10051] A socket operation was attempted to an unreachable network',))\n",
      "Status code Unknown from https://geocoding.geo.census.gov/geocoder/locations/onelineaddress: ERROR - HTTPSConnectionPool(host='geocoding.geo.census.gov', port=443): Max retries exceeded with url: /geocoder/locations/onelineaddress?address=5300+w+veterans+prkw%2C+chicago%2C+il&benchmark=4&format=json (Caused by ConnectTimeoutError(<urllib3.connection.VerifiedHTTPSConnection object at 0x0000028641EE5630>, 'Connection to geocoding.geo.census.gov timed out. (connect timeout=5.0)'))\n",
      "Status code Unknown from https://nominatim.openstreetmap.org/search: ERROR - HTTPSConnectionPool(host='nominatim.openstreetmap.org', port=443): Max retries exceeded with url: /search?q=100+w+carol%2C+chicago%2C+il&format=jsonv2&addressdetails=1&limit=1 (Caused by NewConnectionError('<urllib3.connection.VerifiedHTTPSConnection object at 0x0000028642F01FD0>: Failed to establish a new connection: [WinError 10051] A socket operation was attempted to an unreachable network',))\n",
      "Status code Unknown from https://nominatim.openstreetmap.org/search: ERROR - HTTPSConnectionPool(host='nominatim.openstreetmap.org', port=443): Max retries exceeded with url: /search?q=1600+n+lsd%2C+chicago%2C+il&format=jsonv2&addressdetails=1&limit=1 (Caused by NewConnectionError('<urllib3.connection.VerifiedHTTPSConnection object at 0x0000028642FE5DA0>: Failed to establish a new connection: [WinError 10051] A socket operation was attempted to an unreachable network',))\n",
      "Status code Unknown from http://photon.komoot.de/api: ERROR - HTTPConnectionPool(host='photon.komoot.de', port=80): Read timed out. (read timeout=5.0)\n"
     ]
    }
   ],
   "source": [
    "for ind in outside_points.index:\n",
    "    tmp = geocode_address(geocoded_df.loc[ind, 'address'], s)\n",
    "    geocoded_df.loc[ind, 'lat'] = tmp.lat\n",
    "    geocoded_df.loc[ind, 'lng'] = tmp.lng"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "full_df.loc[outside_points.index, 'lat'] = geocoded_df.loc[outside_points.index, 'lat']\n",
    "full_df.loc[outside_points.index, 'lng'] = geocoded_df.loc[outside_points.index, 'lng']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "full_df.loc[outside_points.index, 'geometry'] = full_df.iloc[outside_points.index].apply(point_maker, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "outside_points2 = full_df[(full_df['lat'] <= 41.63) | (full_df['lat'] >= 42.05) | \n",
    "                          (full_df['lng'] <= -88.0) | (full_df['lng'] >= -87.5)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,10))\n",
    "outside_points2.plot(ax=ax)\n",
    "ax.grid(True, alpha=0.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alright, that's better, but it looks like this lead to some wildly incorrect longitude values in the other direction. Let's examine."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "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>ticket_number</th>\n",
       "      <th>issue_date</th>\n",
       "      <th>violation_location</th>\n",
       "      <th>license_plate_number</th>\n",
       "      <th>license_plate_state</th>\n",
       "      <th>license_plate_type</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>violation_code</th>\n",
       "      <th>violation_description</th>\n",
       "      <th>unit</th>\n",
       "      <th>unit_description</th>\n",
       "      <th>vehicle_make</th>\n",
       "      <th>fine_level1_amount</th>\n",
       "      <th>fine_level2_amount</th>\n",
       "      <th>current_amount_due</th>\n",
       "      <th>total_payments</th>\n",
       "      <th>ticket_queue</th>\n",
       "      <th>ticket_queue_date</th>\n",
       "      <th>notice_level</th>\n",
       "      <th>hearing_disposition</th>\n",
       "      <th>notice_number</th>\n",
       "      <th>officer</th>\n",
       "      <th>address</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>geometry</th>\n",
       "      <th>index_right</th>\n",
       "      <th>statefp10</th>\n",
       "      <th>countyfp10</th>\n",
       "      <th>tractce10</th>\n",
       "      <th>namelsad10</th>\n",
       "      <th>commarea</th>\n",
       "      <th>geoid10</th>\n",
       "      <th>commarea_n</th>\n",
       "      <th>name10</th>\n",
       "      <th>notes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1371</th>\n",
       "      <td>65532593</td>\n",
       "      <td>2015-08-14 07:45:00</td>\n",
       "      <td>3 W TERMINAL 3J</td>\n",
       "      <td>d9865f05c10e3f24ef947be7c0346e31cff554a1cdd7c6...</td>\n",
       "      <td>IL</td>\n",
       "      <td>TXI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0964150B</td>\n",
       "      <td>PARKING/STANDING PROHIBITED ANYTIME</td>\n",
       "      <td>50</td>\n",
       "      <td>CPD-Airport</td>\n",
       "      <td>TOYT</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>0.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-08-28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>5282</td>\n",
       "      <td>3 w terminal 3j, chicago, il</td>\n",
       "      <td>14.590778</td>\n",
       "      <td>120.966310</td>\n",
       "      <td>POINT (120.9663103 14.5907783)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6311</th>\n",
       "      <td>9189764378</td>\n",
       "      <td>2015-12-18 14:05:00</td>\n",
       "      <td>2701 S PRAIRIE</td>\n",
       "      <td>ab214bfcae47665941b3cdc6270e6c6b038f1d227536ae...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>629012249</td>\n",
       "      <td>0976160F</td>\n",
       "      <td>EXPIRED PLATES OR TEMPORARY REGISTRATION</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>HOND</td>\n",
       "      <td>60</td>\n",
       "      <td>120</td>\n",
       "      <td>146.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Notice</td>\n",
       "      <td>2015-12-24</td>\n",
       "      <td>SEIZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5170191190</td>\n",
       "      <td>804</td>\n",
       "      <td>2700 s prairie, chicago, il</td>\n",
       "      <td>41.890250</td>\n",
       "      <td>-88.223094</td>\n",
       "      <td>POINT (-88.22309444770821 41.8902501)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6312</th>\n",
       "      <td>9188713891</td>\n",
       "      <td>2015-04-21 08:58:00</td>\n",
       "      <td>2766 S PRAIRIE</td>\n",
       "      <td>ad692c84ea211c7261155c7811a474d26402ebb6fc6ebc...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>606162845</td>\n",
       "      <td>0964125B</td>\n",
       "      <td>NO CITY STICKER VEHICLE UNDER/EQUAL TO 16,000 ...</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>HOND</td>\n",
       "      <td>200</td>\n",
       "      <td>400</td>\n",
       "      <td>0.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-05-11</td>\n",
       "      <td>VIOL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5183286700</td>\n",
       "      <td>119</td>\n",
       "      <td>2700 s prairie, chicago, il</td>\n",
       "      <td>41.890250</td>\n",
       "      <td>-88.223094</td>\n",
       "      <td>POINT (-88.22309444770821 41.8902501)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6313</th>\n",
       "      <td>66365360</td>\n",
       "      <td>2015-09-23 09:20:00</td>\n",
       "      <td>2711 S PRAIRIE</td>\n",
       "      <td>0cc1a6c217751816cdfd508259abc8a2c5af5e4c9510c5...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>60616</td>\n",
       "      <td>0964040B</td>\n",
       "      <td>STREET CLEANING</td>\n",
       "      <td>1</td>\n",
       "      <td>CPD</td>\n",
       "      <td>CADI</td>\n",
       "      <td>60</td>\n",
       "      <td>120</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-10-22</td>\n",
       "      <td>VIOL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5194298820</td>\n",
       "      <td>10246</td>\n",
       "      <td>2700 s prairie, chicago, il</td>\n",
       "      <td>41.890250</td>\n",
       "      <td>-88.223094</td>\n",
       "      <td>POINT (-88.22309444770821 41.8902501)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6314</th>\n",
       "      <td>9188385995</td>\n",
       "      <td>2015-01-22 07:58:00</td>\n",
       "      <td>2736 S PRAIRIE</td>\n",
       "      <td>2c2ad812f638b0ead87b019f1a8039f5e2f85585388419...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>606202111</td>\n",
       "      <td>0964090E</td>\n",
       "      <td>RESIDENTIAL PERMIT PARKING</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>CHEV</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>0.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-03-26</td>\n",
       "      <td>DETR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5176360180</td>\n",
       "      <td>125</td>\n",
       "      <td>2700 s prairie, chicago, il</td>\n",
       "      <td>41.890250</td>\n",
       "      <td>-88.223094</td>\n",
       "      <td>POINT (-88.22309444770821 41.8902501)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ticket_number          issue_date violation_location  \\\n",
       "1371       65532593 2015-08-14 07:45:00    3 W TERMINAL 3J   \n",
       "6311     9189764378 2015-12-18 14:05:00     2701 S PRAIRIE   \n",
       "6312     9188713891 2015-04-21 08:58:00     2766 S PRAIRIE   \n",
       "6313       66365360 2015-09-23 09:20:00     2711 S PRAIRIE   \n",
       "6314     9188385995 2015-01-22 07:58:00     2736 S PRAIRIE   \n",
       "\n",
       "                                   license_plate_number license_plate_state  \\\n",
       "1371  d9865f05c10e3f24ef947be7c0346e31cff554a1cdd7c6...                  IL   \n",
       "6311  ab214bfcae47665941b3cdc6270e6c6b038f1d227536ae...                  IL   \n",
       "6312  ad692c84ea211c7261155c7811a474d26402ebb6fc6ebc...                  IL   \n",
       "6313  0cc1a6c217751816cdfd508259abc8a2c5af5e4c9510c5...                  IL   \n",
       "6314  2c2ad812f638b0ead87b019f1a8039f5e2f85585388419...                  IL   \n",
       "\n",
       "     license_plate_type    zipcode violation_code  \\\n",
       "1371                TXI        NaN       0964150B   \n",
       "6311                PAS  629012249       0976160F   \n",
       "6312                PAS  606162845       0964125B   \n",
       "6313                PAS      60616       0964040B   \n",
       "6314                PAS  606202111       0964090E   \n",
       "\n",
       "                                  violation_description  unit  \\\n",
       "1371                PARKING/STANDING PROHIBITED ANYTIME    50   \n",
       "6311           EXPIRED PLATES OR TEMPORARY REGISTRATION   498   \n",
       "6312  NO CITY STICKER VEHICLE UNDER/EQUAL TO 16,000 ...   498   \n",
       "6313                                    STREET CLEANING     1   \n",
       "6314                         RESIDENTIAL PERMIT PARKING   498   \n",
       "\n",
       "     unit_description vehicle_make  fine_level1_amount  fine_level2_amount  \\\n",
       "1371      CPD-Airport         TOYT                  75                 150   \n",
       "6311              DOF         HOND                  60                 120   \n",
       "6312              DOF         HOND                 200                 400   \n",
       "6313              CPD         CADI                  60                 120   \n",
       "6314              DOF         CHEV                  75                 150   \n",
       "\n",
       "      current_amount_due  total_payments ticket_queue ticket_queue_date  \\\n",
       "1371                 0.0            75.0         Paid        2015-08-28   \n",
       "6311               146.4             0.0       Notice        2015-12-24   \n",
       "6312                 0.0           200.0         Paid        2015-05-11   \n",
       "6313                 0.0            60.0         Paid        2015-10-22   \n",
       "6314                 0.0            75.0         Paid        2015-03-26   \n",
       "\n",
       "     notice_level hearing_disposition  notice_number officer  \\\n",
       "1371          NaN                 NaN              0    5282   \n",
       "6311         SEIZ                 NaN     5170191190     804   \n",
       "6312         VIOL                 NaN     5183286700     119   \n",
       "6313         VIOL                 NaN     5194298820   10246   \n",
       "6314         DETR                 NaN     5176360180     125   \n",
       "\n",
       "                           address        lat         lng  \\\n",
       "1371  3 w terminal 3j, chicago, il  14.590778  120.966310   \n",
       "6311   2700 s prairie, chicago, il  41.890250  -88.223094   \n",
       "6312   2700 s prairie, chicago, il  41.890250  -88.223094   \n",
       "6313   2700 s prairie, chicago, il  41.890250  -88.223094   \n",
       "6314   2700 s prairie, chicago, il  41.890250  -88.223094   \n",
       "\n",
       "                                   geometry  index_right statefp10 countyfp10  \\\n",
       "1371         POINT (120.9663103 14.5907783)          NaN       NaN        NaN   \n",
       "6311  POINT (-88.22309444770821 41.8902501)          NaN       NaN        NaN   \n",
       "6312  POINT (-88.22309444770821 41.8902501)          NaN       NaN        NaN   \n",
       "6313  POINT (-88.22309444770821 41.8902501)          NaN       NaN        NaN   \n",
       "6314  POINT (-88.22309444770821 41.8902501)          NaN       NaN        NaN   \n",
       "\n",
       "     tractce10 namelsad10 commarea geoid10  commarea_n name10 notes  \n",
       "1371       NaN        NaN      NaN     NaN         NaN    NaN   NaN  \n",
       "6311       NaN        NaN      NaN     NaN         NaN    NaN   NaN  \n",
       "6312       NaN        NaN      NaN     NaN         NaN    NaN   NaN  \n",
       "6313       NaN        NaN      NaN     NaN         NaN    NaN   NaN  \n",
       "6314       NaN        NaN      NaN     NaN         NaN    NaN   NaN  "
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outside_points2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(31, 36)"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outside_points2.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ok, that fixed 56 of the observations outside of Chicago's bounding box, but let's also look for points within that bounding box, but also outside of Chicago's boundary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "chicago_poly = chicago_boundary.geometry.unary_union"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "outside_chicago = full_df[~full_df.geometry.within(chicago_poly)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 36)"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outside_chicago.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,10))\n",
    "outside_chicago.plot(ax=ax)\n",
    "ax.grid(True, alpha=0.7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "def geocode_address(address, s):\n",
    "    g = geocoder.komoot(address, session=s.Komoot)\n",
    "    if (g.ok == False):\n",
    "        g = geocoder.osm(address, session=s.OSM)        \n",
    "    if (g.ok == False):\n",
    "        g = geocoder.uscensus(address, session=s.USCensus)\n",
    "    if (g.ok == False):\n",
    "        g = geocoder.arcgis(address, session=s.Arcgis)\n",
    "    return g\n",
    "\n",
    "s = create_sessions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "for ind in outside_chicago.index:\n",
    "    tmp = geocode_address(full_df.loc[ind, 'address'], s)\n",
    "    full_df.loc[ind, 'lat'] = tmp.lat\n",
    "    full_df.loc[ind, 'lng'] = tmp.lng"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "full_df.loc[outside_chicago.index, 'geometry'] = full_df.iloc[outside_chicago.index].apply(point_maker, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,10))\n",
    "full_df.plot(ax=ax)\n",
    "ax.grid(True, alpha=0.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That's a lot better, but there are still some points that are clearly not near Chicago. Let's subset them out again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This is another method for selecting observations located outside of Chicago\n",
    "#   but it was slower, so I probably won't use it again.\n",
    "outside_chicago_2 = full_df[full_df.geometry.disjoint(chicago_poly)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(17, 36)"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outside_chicago_2.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,10))\n",
    "outside_chicago_2.plot(ax=ax)\n",
    "ax.grid(True, alpha=0.7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "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>ticket_number</th>\n",
       "      <th>issue_date</th>\n",
       "      <th>violation_location</th>\n",
       "      <th>license_plate_number</th>\n",
       "      <th>license_plate_state</th>\n",
       "      <th>license_plate_type</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>violation_code</th>\n",
       "      <th>violation_description</th>\n",
       "      <th>unit</th>\n",
       "      <th>unit_description</th>\n",
       "      <th>vehicle_make</th>\n",
       "      <th>fine_level1_amount</th>\n",
       "      <th>fine_level2_amount</th>\n",
       "      <th>current_amount_due</th>\n",
       "      <th>total_payments</th>\n",
       "      <th>ticket_queue</th>\n",
       "      <th>ticket_queue_date</th>\n",
       "      <th>notice_level</th>\n",
       "      <th>hearing_disposition</th>\n",
       "      <th>notice_number</th>\n",
       "      <th>officer</th>\n",
       "      <th>address</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>geometry</th>\n",
       "      <th>index_right</th>\n",
       "      <th>statefp10</th>\n",
       "      <th>countyfp10</th>\n",
       "      <th>tractce10</th>\n",
       "      <th>namelsad10</th>\n",
       "      <th>commarea</th>\n",
       "      <th>geoid10</th>\n",
       "      <th>commarea_n</th>\n",
       "      <th>name10</th>\n",
       "      <th>notes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6311</th>\n",
       "      <td>9189764378</td>\n",
       "      <td>2015-12-18 14:05:00</td>\n",
       "      <td>2701 S PRAIRIE</td>\n",
       "      <td>ab214bfcae47665941b3cdc6270e6c6b038f1d227536ae...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>629012249</td>\n",
       "      <td>0976160F</td>\n",
       "      <td>EXPIRED PLATES OR TEMPORARY REGISTRATION</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>HOND</td>\n",
       "      <td>60</td>\n",
       "      <td>120</td>\n",
       "      <td>146.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Notice</td>\n",
       "      <td>2015-12-24</td>\n",
       "      <td>SEIZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5170191190</td>\n",
       "      <td>804</td>\n",
       "      <td>2700 s prairie, chicago, il</td>\n",
       "      <td>41.890250</td>\n",
       "      <td>-88.223094</td>\n",
       "      <td>POINT (-88.22309444770821 41.8902501)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6312</th>\n",
       "      <td>9188713891</td>\n",
       "      <td>2015-04-21 08:58:00</td>\n",
       "      <td>2766 S PRAIRIE</td>\n",
       "      <td>ad692c84ea211c7261155c7811a474d26402ebb6fc6ebc...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>606162845</td>\n",
       "      <td>0964125B</td>\n",
       "      <td>NO CITY STICKER VEHICLE UNDER/EQUAL TO 16,000 ...</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>HOND</td>\n",
       "      <td>200</td>\n",
       "      <td>400</td>\n",
       "      <td>0.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-05-11</td>\n",
       "      <td>VIOL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5183286700</td>\n",
       "      <td>119</td>\n",
       "      <td>2700 s prairie, chicago, il</td>\n",
       "      <td>41.890250</td>\n",
       "      <td>-88.223094</td>\n",
       "      <td>POINT (-88.22309444770821 41.8902501)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6313</th>\n",
       "      <td>66365360</td>\n",
       "      <td>2015-09-23 09:20:00</td>\n",
       "      <td>2711 S PRAIRIE</td>\n",
       "      <td>0cc1a6c217751816cdfd508259abc8a2c5af5e4c9510c5...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>60616</td>\n",
       "      <td>0964040B</td>\n",
       "      <td>STREET CLEANING</td>\n",
       "      <td>1</td>\n",
       "      <td>CPD</td>\n",
       "      <td>CADI</td>\n",
       "      <td>60</td>\n",
       "      <td>120</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-10-22</td>\n",
       "      <td>VIOL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5194298820</td>\n",
       "      <td>10246</td>\n",
       "      <td>2700 s prairie, chicago, il</td>\n",
       "      <td>41.890250</td>\n",
       "      <td>-88.223094</td>\n",
       "      <td>POINT (-88.22309444770821 41.8902501)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6314</th>\n",
       "      <td>9188385995</td>\n",
       "      <td>2015-01-22 07:58:00</td>\n",
       "      <td>2736 S PRAIRIE</td>\n",
       "      <td>2c2ad812f638b0ead87b019f1a8039f5e2f85585388419...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>606202111</td>\n",
       "      <td>0964090E</td>\n",
       "      <td>RESIDENTIAL PERMIT PARKING</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>CHEV</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>0.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-03-26</td>\n",
       "      <td>DETR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5176360180</td>\n",
       "      <td>125</td>\n",
       "      <td>2700 s prairie, chicago, il</td>\n",
       "      <td>41.890250</td>\n",
       "      <td>-88.223094</td>\n",
       "      <td>POINT (-88.22309444770821 41.8902501)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6315</th>\n",
       "      <td>65701164</td>\n",
       "      <td>2015-04-24 12:00:00</td>\n",
       "      <td>2700 S PRAIRIE</td>\n",
       "      <td>93f9cd9f3d4688e44fc64833fd146f3a96ba1c69cb563c...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>604523173</td>\n",
       "      <td>0976160A</td>\n",
       "      <td>REAR AND FRONT PLATE REQUIRED</td>\n",
       "      <td>1</td>\n",
       "      <td>CPD</td>\n",
       "      <td>MITS</td>\n",
       "      <td>60</td>\n",
       "      <td>120</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Dismissed</td>\n",
       "      <td>2015-09-25</td>\n",
       "      <td>VIOL</td>\n",
       "      <td>Not Liable</td>\n",
       "      <td>5127499350</td>\n",
       "      <td>19920</td>\n",
       "      <td>2700 s prairie, chicago, il</td>\n",
       "      <td>41.890250</td>\n",
       "      <td>-88.223094</td>\n",
       "      <td>POINT (-88.22309444770821 41.8902501)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18298</th>\n",
       "      <td>66233592</td>\n",
       "      <td>2015-07-22 07:13:00</td>\n",
       "      <td>119 N AUSTIN BLVD</td>\n",
       "      <td>044841b40229741c09186a9b5facdeb42d458b70629ef9...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>604023079</td>\n",
       "      <td>0964080A</td>\n",
       "      <td>RUSH HOUR PARKING</td>\n",
       "      <td>15</td>\n",
       "      <td>CPD</td>\n",
       "      <td>DODG</td>\n",
       "      <td>100</td>\n",
       "      <td>200</td>\n",
       "      <td>244.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Notice</td>\n",
       "      <td>2017-09-11</td>\n",
       "      <td>SEIZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5175016710</td>\n",
       "      <td>16637</td>\n",
       "      <td>100 n austin blvd, chicago, il</td>\n",
       "      <td>41.882773</td>\n",
       "      <td>-87.774852</td>\n",
       "      <td>POINT (-87.774852 41.882773)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23795</th>\n",
       "      <td>66087881</td>\n",
       "      <td>2015-08-12 21:55:00</td>\n",
       "      <td>7525 W IRVING PRK RD</td>\n",
       "      <td>05d7725f6185542de19ba9dd92d31f80ff6ec182d85885...</td>\n",
       "      <td>IL</td>\n",
       "      <td>TMP</td>\n",
       "      <td>60634</td>\n",
       "      <td>0964170A</td>\n",
       "      <td>TRUCK,RV,BUS, OR TAXI RESIDENTIAL STREET</td>\n",
       "      <td>16</td>\n",
       "      <td>CPD</td>\n",
       "      <td>MERZ</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Dismissed</td>\n",
       "      <td>2015-09-29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not Liable</td>\n",
       "      <td>5194393960</td>\n",
       "      <td>12292</td>\n",
       "      <td>7500 w irving prk rd, chicago, il</td>\n",
       "      <td>41.952600</td>\n",
       "      <td>-87.814735</td>\n",
       "      <td>POINT (-87.814735 41.9526)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27453</th>\n",
       "      <td>65670305</td>\n",
       "      <td>2015-02-22 11:15:00</td>\n",
       "      <td>8208 S CAMPBELL</td>\n",
       "      <td>603e09c12c607a2ecfdc8062d4120edd10b2f5499d76fb...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0976160A</td>\n",
       "      <td>REAR AND FRONT PLATE REQUIRED</td>\n",
       "      <td>8</td>\n",
       "      <td>CPD</td>\n",
       "      <td>VOLV</td>\n",
       "      <td>60</td>\n",
       "      <td>120</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Define</td>\n",
       "      <td>2015-02-26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>16422</td>\n",
       "      <td>8200 s campbell, chicago, il</td>\n",
       "      <td>41.477860</td>\n",
       "      <td>-87.649906</td>\n",
       "      <td>POINT (-87.64990589999999 41.47786)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27504</th>\n",
       "      <td>66540921</td>\n",
       "      <td>2015-12-05 09:30:00</td>\n",
       "      <td>1615 N WOOD</td>\n",
       "      <td>5a1abeb63a8003f5621e4374082dd897870a5170833d06...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>606224961</td>\n",
       "      <td>0976160F</td>\n",
       "      <td>EXPIRED PLATES OR TEMPORARY REGISTRATION</td>\n",
       "      <td>14</td>\n",
       "      <td>CPD</td>\n",
       "      <td>ACUR</td>\n",
       "      <td>60</td>\n",
       "      <td>120</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>VIOL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5190151810</td>\n",
       "      <td>16934</td>\n",
       "      <td>1600 n wood, chicago, il</td>\n",
       "      <td>40.855767</td>\n",
       "      <td>-88.891794</td>\n",
       "      <td>POINT (-88.8917938 40.8557665)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27505</th>\n",
       "      <td>65763537</td>\n",
       "      <td>2015-02-20 12:55:00</td>\n",
       "      <td>1668 N WOOD</td>\n",
       "      <td>66e8b2c6c99f7d7f7dfda937bb7eba029fd37d5bb77438...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>606221326</td>\n",
       "      <td>0964100A</td>\n",
       "      <td>WITHIN 15' OF FIRE HYDRANT</td>\n",
       "      <td>14</td>\n",
       "      <td>CPD</td>\n",
       "      <td>CHEV</td>\n",
       "      <td>150</td>\n",
       "      <td>300</td>\n",
       "      <td>0.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-03-15</td>\n",
       "      <td>VIOL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5190611460</td>\n",
       "      <td>16565</td>\n",
       "      <td>1600 n wood, chicago, il</td>\n",
       "      <td>40.855767</td>\n",
       "      <td>-88.891794</td>\n",
       "      <td>POINT (-88.8917938 40.8557665)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27506</th>\n",
       "      <td>9189094322</td>\n",
       "      <td>2015-09-13 18:29:00</td>\n",
       "      <td>1609 N WOOD</td>\n",
       "      <td>cd2a44fba37c3f2e06091cd00393ce8e9cf13a895eaca1...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>60625</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>502</td>\n",
       "      <td>DOF</td>\n",
       "      <td>HOND</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Dismissed</td>\n",
       "      <td>2015-09-18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5191415280</td>\n",
       "      <td>1508</td>\n",
       "      <td>1600 n wood, chicago, il</td>\n",
       "      <td>40.855767</td>\n",
       "      <td>-88.891794</td>\n",
       "      <td>POINT (-88.8917938 40.8557665)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31499</th>\n",
       "      <td>65836280</td>\n",
       "      <td>2015-06-16 18:55:00</td>\n",
       "      <td>9501 S WESTERN</td>\n",
       "      <td>588ebcdd3c3d4e84424e4391dc61612c4ad0dbcb475b83...</td>\n",
       "      <td>IL</td>\n",
       "      <td>TMP</td>\n",
       "      <td>60457</td>\n",
       "      <td>0976160F</td>\n",
       "      <td>EXPIRED PLATES OR TEMPORARY REGISTRATION</td>\n",
       "      <td>22</td>\n",
       "      <td>CPD</td>\n",
       "      <td>JEEP</td>\n",
       "      <td>60</td>\n",
       "      <td>120</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Define</td>\n",
       "      <td>2015-06-30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>15994</td>\n",
       "      <td>9500 s western, chicago, il</td>\n",
       "      <td>41.718862</td>\n",
       "      <td>-87.683259</td>\n",
       "      <td>POINT (-87.68325871074069 41.7188624)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43852</th>\n",
       "      <td>9189542007</td>\n",
       "      <td>2015-12-21 13:09:00</td>\n",
       "      <td>5338 W VETERANS PRKW</td>\n",
       "      <td>daec933dacb568aa663af22263ce2d79e4e060b849ecfa...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>606411727</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>AUDI</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2016-03-18</td>\n",
       "      <td>FINL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5195810920</td>\n",
       "      <td>790</td>\n",
       "      <td>5300 w veterans prkw, chicago, il</td>\n",
       "      <td>39.091988</td>\n",
       "      <td>-88.537995</td>\n",
       "      <td>POINT (-88.53799459338383 39.09198777077201)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44573</th>\n",
       "      <td>66528878</td>\n",
       "      <td>2015-12-02 17:38:00</td>\n",
       "      <td>1250 S VINCENNES</td>\n",
       "      <td>6ccf2ead0784627c850510eccf9f44f75c8b8e9f29a399...</td>\n",
       "      <td>IL</td>\n",
       "      <td>TMP</td>\n",
       "      <td>60438</td>\n",
       "      <td>0976160F</td>\n",
       "      <td>EXPIRED PLATES OR TEMPORARY REGISTRATION</td>\n",
       "      <td>22</td>\n",
       "      <td>CPD</td>\n",
       "      <td>PLYM</td>\n",
       "      <td>60</td>\n",
       "      <td>120</td>\n",
       "      <td>146.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Notice</td>\n",
       "      <td>2015-12-16</td>\n",
       "      <td>SEIZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5195665810</td>\n",
       "      <td>10658</td>\n",
       "      <td>1200 s vincennes, chicago, il</td>\n",
       "      <td>41.507930</td>\n",
       "      <td>-87.640085</td>\n",
       "      <td>POINT (-87.6400845 41.5079304)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46552</th>\n",
       "      <td>9188328528</td>\n",
       "      <td>2015-01-02 23:57:00</td>\n",
       "      <td>2827 S 21ST ST</td>\n",
       "      <td>5831b4c8beea604760af26aa16403fa52fa5b28bc3f76e...</td>\n",
       "      <td>IL</td>\n",
       "      <td>BRS</td>\n",
       "      <td>606233504</td>\n",
       "      <td>0964090E</td>\n",
       "      <td>RESIDENTIAL PERMIT PARKING</td>\n",
       "      <td>502</td>\n",
       "      <td>DOF</td>\n",
       "      <td>BUIC</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>0.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-02-25</td>\n",
       "      <td>VIOL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5076832230</td>\n",
       "      <td>1525</td>\n",
       "      <td>2800 s 21st st, chicago, il</td>\n",
       "      <td>42.321263</td>\n",
       "      <td>-87.857343</td>\n",
       "      <td>POINT (-87.857343 42.321263)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48588</th>\n",
       "      <td>65517773</td>\n",
       "      <td>2015-01-12 14:31:00</td>\n",
       "      <td>5347 W VERTERANS PKWY</td>\n",
       "      <td>76f8b6e55196b7894b2ea10450e9f53aed7b6974de9948...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>60641</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>NISS</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>122.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Notice</td>\n",
       "      <td>2015-02-04</td>\n",
       "      <td>SEIZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5146608370</td>\n",
       "      <td>653</td>\n",
       "      <td>5300 w verterans pkwy, chicago, il</td>\n",
       "      <td>39.091988</td>\n",
       "      <td>-88.537995</td>\n",
       "      <td>POINT (-88.53799459338383 39.09198777077201)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49145</th>\n",
       "      <td>9188590427</td>\n",
       "      <td>2015-06-16 10:56:00</td>\n",
       "      <td>1011 N 18TH PL</td>\n",
       "      <td>807d58fa6828de47402c81ccb0152b2186e2cc7a1a215b...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>606083306</td>\n",
       "      <td>0964040B</td>\n",
       "      <td>STREET CLEANING</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>VOLK</td>\n",
       "      <td>60</td>\n",
       "      <td>120</td>\n",
       "      <td>0.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2015-09-07</td>\n",
       "      <td>FINL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5179641540</td>\n",
       "      <td>789</td>\n",
       "      <td>1000 n 18th pl, chicago, il</td>\n",
       "      <td>42.326010</td>\n",
       "      <td>-87.867983</td>\n",
       "      <td>POINT (-87.867983 42.32601)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       ticket_number          issue_date     violation_location  \\\n",
       "6311      9189764378 2015-12-18 14:05:00         2701 S PRAIRIE   \n",
       "6312      9188713891 2015-04-21 08:58:00         2766 S PRAIRIE   \n",
       "6313        66365360 2015-09-23 09:20:00         2711 S PRAIRIE   \n",
       "6314      9188385995 2015-01-22 07:58:00         2736 S PRAIRIE   \n",
       "6315        65701164 2015-04-24 12:00:00         2700 S PRAIRIE   \n",
       "18298       66233592 2015-07-22 07:13:00      119 N AUSTIN BLVD   \n",
       "23795       66087881 2015-08-12 21:55:00   7525 W IRVING PRK RD   \n",
       "27453       65670305 2015-02-22 11:15:00        8208 S CAMPBELL   \n",
       "27504       66540921 2015-12-05 09:30:00            1615 N WOOD   \n",
       "27505       65763537 2015-02-20 12:55:00            1668 N WOOD   \n",
       "27506     9189094322 2015-09-13 18:29:00            1609 N WOOD   \n",
       "31499       65836280 2015-06-16 18:55:00         9501 S WESTERN   \n",
       "43852     9189542007 2015-12-21 13:09:00   5338 W VETERANS PRKW   \n",
       "44573       66528878 2015-12-02 17:38:00       1250 S VINCENNES   \n",
       "46552     9188328528 2015-01-02 23:57:00         2827 S 21ST ST   \n",
       "48588       65517773 2015-01-12 14:31:00  5347 W VERTERANS PKWY   \n",
       "49145     9188590427 2015-06-16 10:56:00         1011 N 18TH PL   \n",
       "\n",
       "                                    license_plate_number license_plate_state  \\\n",
       "6311   ab214bfcae47665941b3cdc6270e6c6b038f1d227536ae...                  IL   \n",
       "6312   ad692c84ea211c7261155c7811a474d26402ebb6fc6ebc...                  IL   \n",
       "6313   0cc1a6c217751816cdfd508259abc8a2c5af5e4c9510c5...                  IL   \n",
       "6314   2c2ad812f638b0ead87b019f1a8039f5e2f85585388419...                  IL   \n",
       "6315   93f9cd9f3d4688e44fc64833fd146f3a96ba1c69cb563c...                  IL   \n",
       "18298  044841b40229741c09186a9b5facdeb42d458b70629ef9...                  IL   \n",
       "23795  05d7725f6185542de19ba9dd92d31f80ff6ec182d85885...                  IL   \n",
       "27453  603e09c12c607a2ecfdc8062d4120edd10b2f5499d76fb...                  IL   \n",
       "27504  5a1abeb63a8003f5621e4374082dd897870a5170833d06...                  IL   \n",
       "27505  66e8b2c6c99f7d7f7dfda937bb7eba029fd37d5bb77438...                  IL   \n",
       "27506  cd2a44fba37c3f2e06091cd00393ce8e9cf13a895eaca1...                  IL   \n",
       "31499  588ebcdd3c3d4e84424e4391dc61612c4ad0dbcb475b83...                  IL   \n",
       "43852  daec933dacb568aa663af22263ce2d79e4e060b849ecfa...                  IL   \n",
       "44573  6ccf2ead0784627c850510eccf9f44f75c8b8e9f29a399...                  IL   \n",
       "46552  5831b4c8beea604760af26aa16403fa52fa5b28bc3f76e...                  IL   \n",
       "48588  76f8b6e55196b7894b2ea10450e9f53aed7b6974de9948...                  IL   \n",
       "49145  807d58fa6828de47402c81ccb0152b2186e2cc7a1a215b...                  IL   \n",
       "\n",
       "      license_plate_type    zipcode violation_code  \\\n",
       "6311                 PAS  629012249       0976160F   \n",
       "6312                 PAS  606162845       0964125B   \n",
       "6313                 PAS      60616       0964040B   \n",
       "6314                 PAS  606202111       0964090E   \n",
       "6315                 PAS  604523173       0976160A   \n",
       "18298                PAS  604023079       0964080A   \n",
       "23795                TMP      60634       0964170A   \n",
       "27453                PAS        NaN       0976160A   \n",
       "27504                PAS  606224961       0976160F   \n",
       "27505                PAS  606221326       0964100A   \n",
       "27506                PAS      60625       0964190A   \n",
       "31499                TMP      60457       0976160F   \n",
       "43852                PAS  606411727       0964190A   \n",
       "44573                TMP      60438       0976160F   \n",
       "46552                BRS  606233504       0964090E   \n",
       "48588                PAS      60641       0964190A   \n",
       "49145                PAS  606083306       0964040B   \n",
       "\n",
       "                                   violation_description  unit  \\\n",
       "6311            EXPIRED PLATES OR TEMPORARY REGISTRATION   498   \n",
       "6312   NO CITY STICKER VEHICLE UNDER/EQUAL TO 16,000 ...   498   \n",
       "6313                                     STREET CLEANING     1   \n",
       "6314                          RESIDENTIAL PERMIT PARKING   498   \n",
       "6315                       REAR AND FRONT PLATE REQUIRED     1   \n",
       "18298                                  RUSH HOUR PARKING    15   \n",
       "23795           TRUCK,RV,BUS, OR TAXI RESIDENTIAL STREET    16   \n",
       "27453                      REAR AND FRONT PLATE REQUIRED     8   \n",
       "27504           EXPIRED PLATES OR TEMPORARY REGISTRATION    14   \n",
       "27505                         WITHIN 15' OF FIRE HYDRANT    14   \n",
       "27506           EXP. METER NON-CENTRAL BUSINESS DISTRICT   502   \n",
       "31499           EXPIRED PLATES OR TEMPORARY REGISTRATION    22   \n",
       "43852           EXP. METER NON-CENTRAL BUSINESS DISTRICT   498   \n",
       "44573           EXPIRED PLATES OR TEMPORARY REGISTRATION    22   \n",
       "46552                         RESIDENTIAL PERMIT PARKING   502   \n",
       "48588           EXP. METER NON-CENTRAL BUSINESS DISTRICT   498   \n",
       "49145                                    STREET CLEANING   498   \n",
       "\n",
       "      unit_description vehicle_make  fine_level1_amount  fine_level2_amount  \\\n",
       "6311               DOF         HOND                  60                 120   \n",
       "6312               DOF         HOND                 200                 400   \n",
       "6313               CPD         CADI                  60                 120   \n",
       "6314               DOF         CHEV                  75                 150   \n",
       "6315               CPD         MITS                  60                 120   \n",
       "18298              CPD         DODG                 100                 200   \n",
       "23795              CPD         MERZ                  75                 150   \n",
       "27453              CPD         VOLV                  60                 120   \n",
       "27504              CPD         ACUR                  60                 120   \n",
       "27505              CPD         CHEV                 150                 300   \n",
       "27506              DOF         HOND                  50                 100   \n",
       "31499              CPD         JEEP                  60                 120   \n",
       "43852              DOF         AUDI                  50                 100   \n",
       "44573              CPD         PLYM                  60                 120   \n",
       "46552              DOF         BUIC                  75                 150   \n",
       "48588              DOF         NISS                  50                 100   \n",
       "49145              DOF         VOLK                  60                 120   \n",
       "\n",
       "       current_amount_due  total_payments ticket_queue ticket_queue_date  \\\n",
       "6311                146.4             0.0       Notice        2015-12-24   \n",
       "6312                  0.0           200.0         Paid        2015-05-11   \n",
       "6313                  0.0            60.0         Paid        2015-10-22   \n",
       "6314                  0.0            75.0         Paid        2015-03-26   \n",
       "6315                  0.0             0.0    Dismissed        2015-09-25   \n",
       "18298               244.0             0.0       Notice        2017-09-11   \n",
       "23795                 0.0             0.0    Dismissed        2015-09-29   \n",
       "27453                60.0             0.0       Define        2015-02-26   \n",
       "27504                 0.0            60.0         Paid        2016-01-11   \n",
       "27505                 0.0           150.0         Paid        2015-03-15   \n",
       "27506                 0.0             0.0    Dismissed        2015-09-18   \n",
       "31499                60.0             0.0       Define        2015-06-30   \n",
       "43852                 0.0           100.0         Paid        2016-03-18   \n",
       "44573               146.4             0.0       Notice        2015-12-16   \n",
       "46552                 0.0            75.0         Paid        2015-02-25   \n",
       "48588               122.0             0.0       Notice        2015-02-04   \n",
       "49145                 0.0           120.0         Paid        2015-09-07   \n",
       "\n",
       "      notice_level hearing_disposition  notice_number officer  \\\n",
       "6311          SEIZ                 NaN     5170191190     804   \n",
       "6312          VIOL                 NaN     5183286700     119   \n",
       "6313          VIOL                 NaN     5194298820   10246   \n",
       "6314          DETR                 NaN     5176360180     125   \n",
       "6315          VIOL          Not Liable     5127499350   19920   \n",
       "18298         SEIZ                 NaN     5175016710   16637   \n",
       "23795          NaN          Not Liable     5194393960   12292   \n",
       "27453          NaN                 NaN              0   16422   \n",
       "27504         VIOL                 NaN     5190151810   16934   \n",
       "27505         VIOL                 NaN     5190611460   16565   \n",
       "27506          NaN                 NaN     5191415280    1508   \n",
       "31499          NaN                 NaN              0   15994   \n",
       "43852         FINL                 NaN     5195810920     790   \n",
       "44573         SEIZ                 NaN     5195665810   10658   \n",
       "46552         VIOL                 NaN     5076832230    1525   \n",
       "48588         SEIZ                 NaN     5146608370     653   \n",
       "49145         FINL                 NaN     5179641540     789   \n",
       "\n",
       "                                  address        lat        lng  \\\n",
       "6311          2700 s prairie, chicago, il  41.890250 -88.223094   \n",
       "6312          2700 s prairie, chicago, il  41.890250 -88.223094   \n",
       "6313          2700 s prairie, chicago, il  41.890250 -88.223094   \n",
       "6314          2700 s prairie, chicago, il  41.890250 -88.223094   \n",
       "6315          2700 s prairie, chicago, il  41.890250 -88.223094   \n",
       "18298      100 n austin blvd, chicago, il  41.882773 -87.774852   \n",
       "23795   7500 w irving prk rd, chicago, il  41.952600 -87.814735   \n",
       "27453        8200 s campbell, chicago, il  41.477860 -87.649906   \n",
       "27504            1600 n wood, chicago, il  40.855767 -88.891794   \n",
       "27505            1600 n wood, chicago, il  40.855767 -88.891794   \n",
       "27506            1600 n wood, chicago, il  40.855767 -88.891794   \n",
       "31499         9500 s western, chicago, il  41.718862 -87.683259   \n",
       "43852   5300 w veterans prkw, chicago, il  39.091988 -88.537995   \n",
       "44573       1200 s vincennes, chicago, il  41.507930 -87.640085   \n",
       "46552         2800 s 21st st, chicago, il  42.321263 -87.857343   \n",
       "48588  5300 w verterans pkwy, chicago, il  39.091988 -88.537995   \n",
       "49145         1000 n 18th pl, chicago, il  42.326010 -87.867983   \n",
       "\n",
       "                                           geometry  index_right statefp10  \\\n",
       "6311          POINT (-88.22309444770821 41.8902501)          NaN       NaN   \n",
       "6312          POINT (-88.22309444770821 41.8902501)          NaN       NaN   \n",
       "6313          POINT (-88.22309444770821 41.8902501)          NaN       NaN   \n",
       "6314          POINT (-88.22309444770821 41.8902501)          NaN       NaN   \n",
       "6315          POINT (-88.22309444770821 41.8902501)          NaN       NaN   \n",
       "18298                  POINT (-87.774852 41.882773)          NaN       NaN   \n",
       "23795                    POINT (-87.814735 41.9526)          NaN       NaN   \n",
       "27453           POINT (-87.64990589999999 41.47786)          NaN       NaN   \n",
       "27504                POINT (-88.8917938 40.8557665)          NaN       NaN   \n",
       "27505                POINT (-88.8917938 40.8557665)          NaN       NaN   \n",
       "27506                POINT (-88.8917938 40.8557665)          NaN       NaN   \n",
       "31499         POINT (-87.68325871074069 41.7188624)          NaN       NaN   \n",
       "43852  POINT (-88.53799459338383 39.09198777077201)          NaN       NaN   \n",
       "44573                POINT (-87.6400845 41.5079304)          NaN       NaN   \n",
       "46552                  POINT (-87.857343 42.321263)          NaN       NaN   \n",
       "48588  POINT (-88.53799459338383 39.09198777077201)          NaN       NaN   \n",
       "49145                   POINT (-87.867983 42.32601)          NaN       NaN   \n",
       "\n",
       "      countyfp10 tractce10 namelsad10 commarea geoid10  commarea_n name10  \\\n",
       "6311         NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "6312         NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "6313         NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "6314         NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "6315         NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "18298        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "23795        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "27453        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "27504        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "27505        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "27506        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "31499        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "43852        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "44573        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "46552        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "48588        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "49145        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "\n",
       "      notes  \n",
       "6311    NaN  \n",
       "6312    NaN  \n",
       "6313    NaN  \n",
       "6314    NaN  \n",
       "6315    NaN  \n",
       "18298   NaN  \n",
       "23795   NaN  \n",
       "27453   NaN  \n",
       "27504   NaN  \n",
       "27505   NaN  \n",
       "27506   NaN  \n",
       "31499   NaN  \n",
       "43852   NaN  \n",
       "44573   NaN  \n",
       "46552   NaN  \n",
       "48588   NaN  \n",
       "49145   NaN  "
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outside_chicago_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "class GeoSessions:\n",
    "    def __init__(self):\n",
    "        self.Arcgis = requests.Session()\n",
    "        self.Komoot = requests.Session()\n",
    "        self.USCensus = requests.Session()\n",
    "        self.OSM = requests.Session()\n",
    "        self.geolytica = requests.Session()\n",
    "\n",
    "def geocode_address(address, s):\n",
    "    g = geocoder.geolytica(address, session=s.geolytica) \n",
    "    if (g.ok == False):\n",
    "        g = geocoder.komoot(address, session=s.Komoot)\n",
    "    if (g.ok == False):\n",
    "        g = geocoder.osm(address, session=s.OSM)        \n",
    "    if (g.ok == False):\n",
    "        g = geocoder.uscensus(address, session=s.USCensus)\n",
    "    if (g.ok == False):\n",
    "        g = geocoder.arcgis(address, session=s.Arcgis)\n",
    "    return g\n",
    "\n",
    "s = create_sessions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Status code Unknown from http://geocoder.ca: ERROR - HTTPConnectionPool(host='geocoder.ca', port=80): Max retries exceeded with url: /?json=1&locate=8200+s+campbell%2C+chicago%2C+il&geoit=xml (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x0000028643071550>, 'Connection to geocoder.ca timed out. (connect timeout=5.0)'))\n",
      "Status code Unknown from http://geocoder.ca: ERROR - HTTPConnectionPool(host='geocoder.ca', port=80): Read timed out. (read timeout=5.0)\n"
     ]
    }
   ],
   "source": [
    "for ind in outside_chicago_2.index:\n",
    "    tmp = geocode_address(full_df.loc[ind, 'address'], s)\n",
    "    full_df.loc[ind, 'lat'] = tmp.lat\n",
    "    full_df.loc[ind, 'lng'] = tmp.lng"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "full_df.loc[outside_chicago.index, 'geometry'] = full_df.iloc[outside_chicago.index].apply(point_maker, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,10))\n",
    "full_df.plot(ax=ax)\n",
    "ax.grid(True, alpha=0.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That looks pretty great. Let's see how many fall outside of Chicago now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "outside_chicago_3 = full_df[~full_df.geometry.within(chicago_poly)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4, 36)"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outside_chicago_3.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Not bad. Only 4 data points are outside of Chicago now. Let's check them out."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ticket_number</th>\n",
       "      <th>issue_date</th>\n",
       "      <th>violation_location</th>\n",
       "      <th>license_plate_number</th>\n",
       "      <th>license_plate_state</th>\n",
       "      <th>license_plate_type</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>violation_code</th>\n",
       "      <th>violation_description</th>\n",
       "      <th>unit</th>\n",
       "      <th>unit_description</th>\n",
       "      <th>vehicle_make</th>\n",
       "      <th>fine_level1_amount</th>\n",
       "      <th>fine_level2_amount</th>\n",
       "      <th>current_amount_due</th>\n",
       "      <th>total_payments</th>\n",
       "      <th>ticket_queue</th>\n",
       "      <th>ticket_queue_date</th>\n",
       "      <th>notice_level</th>\n",
       "      <th>hearing_disposition</th>\n",
       "      <th>notice_number</th>\n",
       "      <th>officer</th>\n",
       "      <th>address</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
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       "      <th>notes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>27453</th>\n",
       "      <td>65670305</td>\n",
       "      <td>2015-02-22 11:15:00</td>\n",
       "      <td>8208 S CAMPBELL</td>\n",
       "      <td>603e09c12c607a2ecfdc8062d4120edd10b2f5499d76fb...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0976160A</td>\n",
       "      <td>REAR AND FRONT PLATE REQUIRED</td>\n",
       "      <td>8</td>\n",
       "      <td>CPD</td>\n",
       "      <td>VOLV</td>\n",
       "      <td>60</td>\n",
       "      <td>120</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Define</td>\n",
       "      <td>2015-02-26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>16422</td>\n",
       "      <td>8200 s campbell, chicago, il</td>\n",
       "      <td>41.477860</td>\n",
       "      <td>-87.649906</td>\n",
       "      <td>POINT (-87.64990589999999 41.47786)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31499</th>\n",
       "      <td>65836280</td>\n",
       "      <td>2015-06-16 18:55:00</td>\n",
       "      <td>9501 S WESTERN</td>\n",
       "      <td>588ebcdd3c3d4e84424e4391dc61612c4ad0dbcb475b83...</td>\n",
       "      <td>IL</td>\n",
       "      <td>TMP</td>\n",
       "      <td>60457</td>\n",
       "      <td>0976160F</td>\n",
       "      <td>EXPIRED PLATES OR TEMPORARY REGISTRATION</td>\n",
       "      <td>22</td>\n",
       "      <td>CPD</td>\n",
       "      <td>JEEP</td>\n",
       "      <td>60</td>\n",
       "      <td>120</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Define</td>\n",
       "      <td>2015-06-30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>15994</td>\n",
       "      <td>9500 s western, chicago, il</td>\n",
       "      <td>41.720940</td>\n",
       "      <td>-87.682067</td>\n",
       "      <td>POINT (-87.682067 41.72094)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43852</th>\n",
       "      <td>9189542007</td>\n",
       "      <td>2015-12-21 13:09:00</td>\n",
       "      <td>5338 W VETERANS PRKW</td>\n",
       "      <td>daec933dacb568aa663af22263ce2d79e4e060b849ecfa...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>606411727</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>AUDI</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2016-03-18</td>\n",
       "      <td>FINL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5195810920</td>\n",
       "      <td>790</td>\n",
       "      <td>5300 w veterans prkw, chicago, il</td>\n",
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       "      <td>-87.716979</td>\n",
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       "      <td>NaN</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48588</th>\n",
       "      <td>65517773</td>\n",
       "      <td>2015-01-12 14:31:00</td>\n",
       "      <td>5347 W VERTERANS PKWY</td>\n",
       "      <td>76f8b6e55196b7894b2ea10450e9f53aed7b6974de9948...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>60641</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>NISS</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>122.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Notice</td>\n",
       "      <td>2015-02-04</td>\n",
       "      <td>SEIZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5146608370</td>\n",
       "      <td>653</td>\n",
       "      <td>5300 w verterans pkwy, chicago, il</td>\n",
       "      <td>39.091988</td>\n",
       "      <td>-88.537995</td>\n",
       "      <td>POINT (-88.53799459338383 39.09198777077201)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       ticket_number          issue_date     violation_location  \\\n",
       "27453       65670305 2015-02-22 11:15:00        8208 S CAMPBELL   \n",
       "31499       65836280 2015-06-16 18:55:00         9501 S WESTERN   \n",
       "43852     9189542007 2015-12-21 13:09:00   5338 W VETERANS PRKW   \n",
       "48588       65517773 2015-01-12 14:31:00  5347 W VERTERANS PKWY   \n",
       "\n",
       "                                    license_plate_number license_plate_state  \\\n",
       "27453  603e09c12c607a2ecfdc8062d4120edd10b2f5499d76fb...                  IL   \n",
       "31499  588ebcdd3c3d4e84424e4391dc61612c4ad0dbcb475b83...                  IL   \n",
       "43852  daec933dacb568aa663af22263ce2d79e4e060b849ecfa...                  IL   \n",
       "48588  76f8b6e55196b7894b2ea10450e9f53aed7b6974de9948...                  IL   \n",
       "\n",
       "      license_plate_type    zipcode violation_code  \\\n",
       "27453                PAS        NaN       0976160A   \n",
       "31499                TMP      60457       0976160F   \n",
       "43852                PAS  606411727       0964190A   \n",
       "48588                PAS      60641       0964190A   \n",
       "\n",
       "                          violation_description  unit unit_description  \\\n",
       "27453             REAR AND FRONT PLATE REQUIRED     8              CPD   \n",
       "31499  EXPIRED PLATES OR TEMPORARY REGISTRATION    22              CPD   \n",
       "43852  EXP. METER NON-CENTRAL BUSINESS DISTRICT   498              DOF   \n",
       "48588  EXP. METER NON-CENTRAL BUSINESS DISTRICT   498              DOF   \n",
       "\n",
       "      vehicle_make  fine_level1_amount  fine_level2_amount  \\\n",
       "27453         VOLV                  60                 120   \n",
       "31499         JEEP                  60                 120   \n",
       "43852         AUDI                  50                 100   \n",
       "48588         NISS                  50                 100   \n",
       "\n",
       "       current_amount_due  total_payments ticket_queue ticket_queue_date  \\\n",
       "27453                60.0             0.0       Define        2015-02-26   \n",
       "31499                60.0             0.0       Define        2015-06-30   \n",
       "43852                 0.0           100.0         Paid        2016-03-18   \n",
       "48588               122.0             0.0       Notice        2015-02-04   \n",
       "\n",
       "      notice_level hearing_disposition  notice_number officer  \\\n",
       "27453          NaN                 NaN              0   16422   \n",
       "31499          NaN                 NaN              0   15994   \n",
       "43852         FINL                 NaN     5195810920     790   \n",
       "48588         SEIZ                 NaN     5146608370     653   \n",
       "\n",
       "                                  address        lat        lng  \\\n",
       "27453        8200 s campbell, chicago, il  41.477860 -87.649906   \n",
       "31499         9500 s western, chicago, il  41.720940 -87.682067   \n",
       "43852   5300 w veterans prkw, chicago, il  41.572809 -87.716979   \n",
       "48588  5300 w verterans pkwy, chicago, il  39.091988 -88.537995   \n",
       "\n",
       "                                           geometry  index_right statefp10  \\\n",
       "27453           POINT (-87.64990589999999 41.47786)          NaN       NaN   \n",
       "31499                   POINT (-87.682067 41.72094)          NaN       NaN   \n",
       "43852          POINT (-87.71697899999999 41.572809)          NaN       NaN   \n",
       "48588  POINT (-88.53799459338383 39.09198777077201)          NaN       NaN   \n",
       "\n",
       "      countyfp10 tractce10 namelsad10 commarea geoid10  commarea_n name10  \\\n",
       "27453        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "31499        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "43852        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "48588        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "\n",
       "      notes  \n",
       "27453   NaN  \n",
       "31499   NaN  \n",
       "43852   NaN  \n",
       "48588   NaN  "
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "outside_chicago_3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hmm, per google maps, 9500 S Western is actually in Evergreen Park. I think that might be correctly geocoded, but that a Chicago cop may have issued a ticket just outside of Chicago. \n",
    "\n",
    "Also per google maps, 8200 S Campbell is correctly geocoded, but it is close to the boundary of Evergreen Park.\n",
    "\n",
    "The other two miscoded addresses are at 5300 W Veterans prkw and 5300 W Verterans (sic?) pkwy. Per google, I'm not sure if there's a Veteran's Pkwy in Chicago. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "       ticket_number          issue_date     violation_location  \\\n",
       "43852     9189542007 2015-12-21 13:09:00   5338 W VETERANS PRKW   \n",
       "48588       65517773 2015-01-12 14:31:00  5347 W VERTERANS PKWY   \n",
       "\n",
       "                                    license_plate_number license_plate_state  \\\n",
       "43852  daec933dacb568aa663af22263ce2d79e4e060b849ecfa...                  IL   \n",
       "48588  76f8b6e55196b7894b2ea10450e9f53aed7b6974de9948...                  IL   \n",
       "\n",
       "      license_plate_type    zipcode violation_code  \\\n",
       "43852                PAS  606411727       0964190A   \n",
       "48588                PAS      60641       0964190A   \n",
       "\n",
       "                          violation_description  unit unit_description  \\\n",
       "43852  EXP. METER NON-CENTRAL BUSINESS DISTRICT   498              DOF   \n",
       "48588  EXP. METER NON-CENTRAL BUSINESS DISTRICT   498              DOF   \n",
       "\n",
       "      vehicle_make  fine_level1_amount  fine_level2_amount  \\\n",
       "43852         AUDI                  50                 100   \n",
       "48588         NISS                  50                 100   \n",
       "\n",
       "       current_amount_due  total_payments ticket_queue ticket_queue_date  \\\n",
       "43852                 0.0           100.0         Paid        2016-03-18   \n",
       "48588               122.0             0.0       Notice        2015-02-04   \n",
       "\n",
       "      notice_level hearing_disposition  notice_number officer  \\\n",
       "43852         FINL                 NaN     5195810920     790   \n",
       "48588         SEIZ                 NaN     5146608370     653   \n",
       "\n",
       "                                  address        lat        lng  \\\n",
       "43852   5300 w veterans prkw, chicago, il  41.572809 -87.716979   \n",
       "48588  5300 w verterans pkwy, chicago, il  39.091988 -88.537995   \n",
       "\n",
       "                                           geometry  index_right statefp10  \\\n",
       "43852          POINT (-87.71697899999999 41.572809)          NaN       NaN   \n",
       "48588  POINT (-88.53799459338383 39.09198777077201)          NaN       NaN   \n",
       "\n",
       "      countyfp10 tractce10 namelsad10 commarea geoid10  commarea_n name10  \\\n",
       "43852        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "48588        NaN       NaN        NaN      NaN     NaN         NaN    NaN   \n",
       "\n",
       "      notes  \n",
       "43852   NaN  \n",
       "48588   NaN  "
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_df.iloc[[43852, 48588]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on the areas the cops for these data points explored, I assume these locations might actually be in West Veterans Place (lat: 41.969185, lng: -87.761570). I'm going to simply impute those lat-long values for those points. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "full_df.loc[[43852, 48588], 'lat'] = 41.969185\n",
    "full_df.loc[[43852, 48588], 'lng'] = -87.761570\n",
    "full_df.loc[[43852, 48588], 'geometry'] = full_df.iloc[[43852, 48588]].apply(point_maker, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "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>ticket_number</th>\n",
       "      <th>issue_date</th>\n",
       "      <th>violation_location</th>\n",
       "      <th>license_plate_number</th>\n",
       "      <th>license_plate_state</th>\n",
       "      <th>license_plate_type</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>violation_code</th>\n",
       "      <th>violation_description</th>\n",
       "      <th>unit</th>\n",
       "      <th>unit_description</th>\n",
       "      <th>vehicle_make</th>\n",
       "      <th>fine_level1_amount</th>\n",
       "      <th>fine_level2_amount</th>\n",
       "      <th>current_amount_due</th>\n",
       "      <th>total_payments</th>\n",
       "      <th>ticket_queue</th>\n",
       "      <th>ticket_queue_date</th>\n",
       "      <th>notice_level</th>\n",
       "      <th>hearing_disposition</th>\n",
       "      <th>notice_number</th>\n",
       "      <th>officer</th>\n",
       "      <th>address</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>geometry</th>\n",
       "      <th>index_right</th>\n",
       "      <th>statefp10</th>\n",
       "      <th>countyfp10</th>\n",
       "      <th>tractce10</th>\n",
       "      <th>namelsad10</th>\n",
       "      <th>commarea</th>\n",
       "      <th>geoid10</th>\n",
       "      <th>commarea_n</th>\n",
       "      <th>name10</th>\n",
       "      <th>notes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>43852</th>\n",
       "      <td>9189542007</td>\n",
       "      <td>2015-12-21 13:09:00</td>\n",
       "      <td>5338 W VETERANS PRKW</td>\n",
       "      <td>daec933dacb568aa663af22263ce2d79e4e060b849ecfa...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>606411727</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>AUDI</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>Paid</td>\n",
       "      <td>2016-03-18</td>\n",
       "      <td>FINL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5195810920</td>\n",
       "      <td>790</td>\n",
       "      <td>5300 w veterans prkw, chicago, il</td>\n",
       "      <td>41.969185</td>\n",
       "      <td>-87.76157</td>\n",
       "      <td>POINT (-87.76157000000001 41.969185)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48588</th>\n",
       "      <td>65517773</td>\n",
       "      <td>2015-01-12 14:31:00</td>\n",
       "      <td>5347 W VERTERANS PKWY</td>\n",
       "      <td>76f8b6e55196b7894b2ea10450e9f53aed7b6974de9948...</td>\n",
       "      <td>IL</td>\n",
       "      <td>PAS</td>\n",
       "      <td>60641</td>\n",
       "      <td>0964190A</td>\n",
       "      <td>EXP. METER NON-CENTRAL BUSINESS DISTRICT</td>\n",
       "      <td>498</td>\n",
       "      <td>DOF</td>\n",
       "      <td>NISS</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>122.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Notice</td>\n",
       "      <td>2015-02-04</td>\n",
       "      <td>SEIZ</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5146608370</td>\n",
       "      <td>653</td>\n",
       "      <td>5300 w verterans pkwy, chicago, il</td>\n",
       "      <td>41.969185</td>\n",
       "      <td>-87.76157</td>\n",
       "      <td>POINT (-87.76157000000001 41.969185)</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",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       ticket_number          issue_date     violation_location  \\\n",
       "43852     9189542007 2015-12-21 13:09:00   5338 W VETERANS PRKW   \n",
       "48588       65517773 2015-01-12 14:31:00  5347 W VERTERANS PKWY   \n",
       "\n",
       "                                    license_plate_number license_plate_state  \\\n",
       "43852  daec933dacb568aa663af22263ce2d79e4e060b849ecfa...                  IL   \n",
       "48588  76f8b6e55196b7894b2ea10450e9f53aed7b6974de9948...                  IL   \n",
       "\n",
       "      license_plate_type    zipcode violation_code  \\\n",
       "43852                PAS  606411727       0964190A   \n",
       "48588                PAS      60641       0964190A   \n",
       "\n",
       "                          violation_description  unit unit_description  \\\n",
       "43852  EXP. METER NON-CENTRAL BUSINESS DISTRICT   498              DOF   \n",
       "48588  EXP. METER NON-CENTRAL BUSINESS DISTRICT   498              DOF   \n",
       "\n",
       "      vehicle_make  fine_level1_amount  fine_level2_amount  \\\n",
       "43852         AUDI                  50                 100   \n",
       "48588         NISS                  50                 100   \n",
       "\n",
       "       current_amount_due  total_payments ticket_queue ticket_queue_date  \\\n",
       "43852                 0.0           100.0         Paid        2016-03-18   \n",
       "48588               122.0             0.0       Notice        2015-02-04   \n",
       "\n",
       "      notice_level hearing_disposition  notice_number officer  \\\n",
       "43852         FINL                 NaN     5195810920     790   \n",
       "48588         SEIZ                 NaN     5146608370     653   \n",
       "\n",
       "                                  address        lat       lng  \\\n",
       "43852   5300 w veterans prkw, chicago, il  41.969185 -87.76157   \n",
       "48588  5300 w verterans pkwy, chicago, il  41.969185 -87.76157   \n",
       "\n",
       "                                   geometry  index_right statefp10 countyfp10  \\\n",
       "43852  POINT (-87.76157000000001 41.969185)          NaN       NaN        NaN   \n",
       "48588  POINT (-87.76157000000001 41.969185)          NaN       NaN        NaN   \n",
       "\n",
       "      tractce10 namelsad10 commarea geoid10  commarea_n name10 notes  \n",
       "43852       NaN        NaN      NaN     NaN         NaN    NaN   NaN  \n",
       "48588       NaN        NaN      NaN     NaN         NaN    NaN   NaN  "
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_df.iloc[[43852, 48588]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(15,10))\n",
    "full_df.plot(ax=ax)\n",
    "# chicago_boundary.plot(ax=ax)\n",
    "ax.grid(True, alpha=0.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alright, that looks way, way better."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "out_df = full_df[['address', 'lat', 'lng']]\n",
    "OUT_PATH = os.path.join('data', 'hacknight_sample_data_geocode_cleaned.csv')\n",
    "out_df.to_csv(OUT_PATH, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": []
  },
  {
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   "execution_count": null,
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   "execution_count": null,
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   "execution_count": null,
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   "execution_count": null,
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   "execution_count": null,
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   "execution_count": null,
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
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  }
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