{
 "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": "iVBORw0KGgoAAAANSUhEUgAAA2oAAACVCAYAAAApBwlaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAADHdJREFUeJzt3W2spOVZB/D/xS6Uja3ZIpSyC3EJJaSYE8FseHG/1NpKSxtZTZu0ViVKWD+0SY0GBWtiTdtIJdrGpNYsgbhGhBJtgWAjIqUx1nZbkNqRIuGltMAiuMHVNtAXyO2H82zdruewc3bPnLl35vdLJjPP/dyTuT5cmcw/z/3cU621AAAA0I9jpl0AAAAAP0hQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRm/Vp+2Iknnti2bNmylh8Jq+7b3/52jj/++GmXAatGTzOL9DWzSF/PhnvvvXdva+2kQ81b06C2ZcuW3HPPPWv5kbDqRqNRFhYWpl0GrBo9zSzS18wifT0bqurr48xb06DWq1vuezLX3PFg9ux7Pps2bsgVF52V7edunnZZAADAnJr7oHbLfU/mqk+O8vz3XkySPLnv+Vz1yVGSCGsAAMBUzP1mItfc8eD3Q9p+z3/vxVxzx4NTqggAAJh3cx/U9ux7fkXjAAAAkzb3Qa2tcBwAAGDS5voetfM/dOdLnt929WdsMAIAAKy5uQ5qT3/zuy95/slh+aMNRgAAgLU090sfx2WDEQAAYK0IaitggxEAAGAtzHVQO/kVx61o/qaNGyZUCQAAwP+Z66C2+31vHDusbTh2Xa646KwJVwQAALCCoFZV66rqvqq6fTg+vap2V9VDVfWJqlrZ5alO7H7fG7PtjBOWPPey9cekkmzeuCF/8PMLNhIBAADWxEp2fXxvkgeS/PBw/OEkH2mt3VRVf5bksiQfX+X61sQNl1+Yd137+XzukWe/P7btjBNyw+UXTrEqAABgXo0V1Krq1CRvSfKhJL9RVZXk9Ul+YZiyK8n7c5QGtSRCGQAA0I1xr6h9NMlvJXnFcPwjSfa11l4Yjp9IsuS6wKrakWRHkmzatCmj0ejwq11l//zI3jz4H99Kay1VlbNe/fL85BknTrssOrd3796u+hiOlJ5mFulrZpG+ni+HDGpV9dYkz7TW7q2q1+0fXmJqW+r9rbWdSXYmydatW9vCwsJhlrq6fveWUf7yC8/lB27Te+y5/GKSD27vo0b6NBqN0ksfw2rQ08wifc0s0tfzZZwratuS/GxVXZzk+Czeo/bRJBurav1wVe3UJHsmV+bqu3H348uO9xjU3EMHAADz45C7PrbWrmqtndpa25LkHUk+01p7V5K7k7xtmHZpklsnVuUEvNiWvAC47Pg0HRzSkuRzjzybd137+SlVBAAATNKR/I/ab2dxY5GHs3jP2nWrU9LaWFdLrd5cfnyaDg5phxoHAACObisKaq21z7bW3jq8frS1dl5r7TWttbe31r4zmRIn453nn7aicQAAgLWykv9Rmyn770O7cffjebG1rKvKO88/rcv70wAAgPkyt0EtWQxrR0Mw23bGCUsuc9x2xglTqAYAAJi0I7lHjTVyw+UX/r9QZtdHAACYXXN9Re1oIpQBAMD8cEUNAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AAKAzghoAAEBnBDUAAIDOCGoAAACdEdQAAAA6I6gBAAB0RlADAADozCGDWlUdX1VfrKp/rar7q+r3h/HTq2p3VT1UVZ+oquMmXy4AAMDsG+eK2neSvL619uNJzknypqq6IMmHk3yktXZmkv9KctnkygQAAJgfhwxqbdG3hsNjh0dL8vokfz2M70qyfSIVAgAAzJn140yqqnVJ7k3ymiQfS/JIkn2ttReGKU8k2bzMe3ck2ZEkmzZtymg0OtKaYar27t2rj5kpeppZpK+ZRfp6vowV1FprLyY5p6o2JvlUktcuNW2Z9+5MsjNJtm7d2hYWFg6zVOjDaDSKPmaW6Glmkb5mFunr+bKiXR9ba/uSfDbJBUk2VtX+oHdqkj2rWxoAAMB8GmfXx5OGK2mpqg1J3pDkgSR3J3nbMO3SJLdOqkgAAIB5Ms7Sx1OS7BruUzsmyc2ttdur6qtJbqqqDya5L8l1E6wTAABgbhwyqLXWvpLk3CXGH01y3iSKAgAAmGcrukcNAACAyRPUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDOCGgAAQGcENQAAgM4IagAAAJ0R1AAAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AAKAzghoAAEBnBDUAAIDOCGoAAACdEdQAAAA6I6gBAAB0RlADAADojKAGAADQGUENAACgM4IaAABAZwQ1AACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6Mwhg1pVnVZVd1fVA1V1f1W9dxg/oarurKqHhudXTr5cAACA2TfOFbUXkvxma+21SS5I8u6qOjvJlUnuaq2dmeSu4RgAAIAjdMig1lp7qrX2L8PrbyZ5IMnmJJck2TVM25Vk+6SKBAAAmCfrVzK5qrYkOTfJ7iQnt9aeShbDXFW9apn37EiyI0k2bdqU0Wh0JPXC1O3du1cfM1P0NLNIXzOL9PV8GTuoVdXLk/xNkl9vrf1PVY31vtbaziQ7k2Tr1q1tYWHhcOqEboxGo+hjZomeZhbpa2aRvp4vY+36WFXHZjGk3dBa++Qw/HRVnTKcPyXJM5MpEQAAYL6Ms+tjJbkuyQOttT8+4NRtSS4dXl+a5NbVLw8AAGD+jLP0cVuSX0oyqqovD2O/k+TqJDdX1WVJvpHk7ZMpEQAAYL4cMqi11v4pyXI3pP306pYDAADAWPeoAQAAsHYENQAAgM4IagAAAJ0R1AAAADojqAEAAHRGUAMAAOiMoAYAANAZQQ0AAKAzghoAAEBnBDUAAIDOrJ92AQAAAKvl9Cv/Nu2A40rytavfMq1yDpsragAAwEw4OKQlSRvGjzaCGgAAMBMODmmHGu+ZoAYAANAZQQ0AAKAzghoAAEBnBDUAAGAmbN64YUXjPRPUAACAmXDFRWdlw7HrfmBsw7HrcsVFZ02posPnf9QAAICZsP3czUmSa+54MHv2PZ9NGzfkiovO+v740URQAwAAZsb2czcflcHsYNXa2v2rQFX9Z5Kvr9kHwmScmGTvtIuAVaSnmUX6mlmkr2fDj7bWTjrUpDUNajALquqe1trWadcBq0VPM4v0NbNIX88Xm4kAAAB0RlADAADojKAGK7dz2gXAKtPTzCJ9zSzS13PEPWoAAACdcUUNAACgM4IaAABAZwQ1GENVvb+qnqyqLw+Piw84d1VVPVxVD1bVRdOsE1aqqt409O7DVXXltOuBw1VVj1XVaPiOvmcYO6Gq7qyqh4bnV067TlhOVV1fVc9U1b8dMLZkD9eiPxm+u79SVT8xvcqZFEENxveR1to5w+PTSVJVZyd5R5IfS/KmJH9aVeumWSSMa+jVjyV5c5Kzk7xz6Gk4Wv3U8B29/3+mrkxyV2vtzCR3DcfQqz/P4m+JAy3Xw29Ocubw2JHk42tUI2tIUIMjc0mSm1pr32mtfS3Jw0nOm3JNMK7zkjzcWnu0tfbdJDdlsadhVlySZNfweleS7VOsBV5Sa+0fkzx70PByPXxJkr9oi76QZGNVnbI2lbJWBDUY33uG5QXXH7B8ZnOSxw+Y88QwBkcD/cssaUn+vqruraodw9jJrbWnkmR4ftXUqoPDs1wP+/6eA+unXQD0oqr+Icmrlzj1viwuKfhAFn8IfCDJHyX51SS1xHz/ecHRQv8yS7a11vZU1auS3FlV/z7tgmCCfH/PAUENBq21N4wzr6quTXL7cPhEktMOOH1qkj2rXBpMiv5lZrTW9gzPz1TVp7K4tPfpqjqltfbUsCzsmakWCSu3XA/7/p4Dlj7CGA5a9/1zSfbvyHRbkndU1cuq6vQs3tT7xbWuDw7Tl5KcWVWnV9VxWdwY57Yp1wQrVlU/VFWv2P86yc9k8Xv6tiSXDtMuTXLrdCqEw7ZcD9+W5JeH3R8vSPLf+5dIMjtcUYPx/GFVnZPFZQWPJfm1JGmt3V9VNyf5apIXkry7tfbi1KqEFWitvVBV70lyR5J1Sa5vrd0/5bLgcJyc5FNVlSz+tvmr1trfVdWXktxcVZcl+UaSt0+xRnhJVXVjktclObGqnkjye0muztI9/OkkF2dxE7PnkvzKmhfMxFVrlrMCAAD0xNJHAACAzghqAAAAnRHUAAAAOiOoAQAAdEZQAwAA6IygBgAA0BlBDQAAoDP/C2LpLk/Li+MVAAAAAElFTkSuQmCC\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": "iVBORw0KGgoAAAANSUhEUgAAAR0AAAJCCAYAAAD9WhPEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAHkpJREFUeJzt3X+0nHWd2PH3xySQqGD4pfUmaBApWvd2k3LLj2XdUlTCEhbjka5QqNizmGNbz8rxnChRKxWhi6VHKGd36yLSZQ9U6SpeEXTTbCHVIj9MTMioEEMg/AiseA1RkYgQvv1jngvDzeTemXsnn5m59/06Zw4zzzzPzOdOyDvPPPPjRikFScryim4PIGlmMTqSUhkdSamMjqRURkdSKqMjKZXRkZTK6EhKZXQkpZrd7QHGOvTQQ8uiRYu6OsNvfvMb5s6d29UZmnGu9jhXeyaaa/369SOllMOmej89F51Fixaxbt26rs5Qq9UYHBzs6gzNOFd7nKs9E80VEQ934n58eiUpldGRlMroSEpldCSlMjqSUhkdSamMjqRURkdSKqMjKZXRkZTK6EhKZXQkpTI6klIZHUmpjI6kVEZHUiqjIymV0ZGUyuhISmV0JKUyOpJS9dxvg5B6zfCG7Vy+ejPbd+5iVgS7S2HB/HmsXHo0y5cs6PZ4fcfoSOMY3rCdVTfV2PXcbgB2lwLA9p27WHVTDcDwtMmnV9I4Ll+9+cXgjLXrud1cvnpz8kT9z+hI43h8564pXa89GR1pHAPz503peu3J6EjjWLn0aObNmdX0unlzZrFy6dHJE/U/DyRL4xg9SOyrV51jdKQJLF+ywLh0kE+vJKUyOpJSGR1JqYyOpFRGR1IqoyMpldGRlMroSEpldCSlMjqSUhkdSamMjqRURkdSKqMjKZXRkZTK6EhKZXQkpTI6klIZHUmpjI6kVEZHUiqjIymV0ZGUyuhISmV0JKUyOpJSGR1JqYyOpFRGR1IqoyMpldGRlMroSEpldCSlMjqSUhkdSamMjqRURkdSKqMjKdXsbg8g6SXDG7az8m838twLe19n22XL8gbaB4yONEXDG7bziZs28UxDKQI45/g3cMnywZZu45wv3skdW3e0tO6iC2/t6/AYHanB8IbtXL56M4/v3MXA/HmsXHo0y5csGHf9C27cuMfyAlx/1yNcf9cjALxqv1lc+p7BprfVTnBG9XN4Wj6mExGzImJDRNxSXb4hIjZHxA8j4tqImLOX7c6LiC3V6bxODS512vCG7ay6qcb2nbsowPadu1h1U43hDdv3us1/uvlHLd32r3+7mwtu3MiiC2/le1tHXnZdu8Hpd+3s6XwEuA84sLp8A3Budf5/AucD/71xg4g4GLgIGKIe//URcXMp5ampDC11SuOezSsi2F3Ky67f9Vw9Fuse3tH0qdLOXc+1fZ/3P/ErFl1466RnHjW8Yfu4e2G9qqU9nYhYCCwDrhldVkr5VqkA9wALm2y6FFhTStlRhWYNcOrUx5ambuyezdjgNLr+rkf41HAtb7gWNHta1w9a3dO5EvgYcMDYK6qnVf+G+p7QWAuARxsuP1YtG3sbK4AVAAMDA9Rq3f3DHRkZ6foMzThXeyaaa/2GRzl14PmWb++Zf9jG6M39jzseohR4zxvbn+vIAwvveePu9jdsopOPe9af44TRiYjTgSdLKesj4qQmq/wl8J1Synebbd5k2R7/nJRSrgauBhgaGiqDg60d8d9XarUa3Z6hGedqz0RznXHDIxRmtXWbn//QYPXUqL3tGr3njbv5+sOT377RFf+uc4971p9jK0+vTgTOiIhtwFeAkyPieoCIuAg4DPjoXrZ9DDi84fJC4PFJTyt10MD8eW2t/4qgI8diZroJo1NKWVVKWVhKWQScBdxWSjk3Is6nfszm7FLK3t7KtBo4JSIOioiDgFOqZVLXrVx6NPPmtL7H8cLeD/l0zaILb+Vdn1/b7THaMpWPQXwBeB1wZ0RsjIhPA0TEUERcA1BK2QF8Fvh+dbq4WiZ13aeHa+x6rjPHVrppy5O/7qvwtPXmwFLKWmBtdb7ptqWUddRfPh+9fC1w7aQnlPaBf3rR3/HLZ/s/OKO2PPnrbo/QMj/wqRlpOgWn3xgdSamMjqRURkcz0oH7d+Z9Mmqf0dGMtOkzp44bnm2XLePK9y1mwfx5BLBg/jyufN/inv5k93gfTO0lfrWFZqxNnxn/Y4DLlyxo+oHKg145h6eeaf+DnvvaBTdu7IsPgLqnI7Xpoj96G69o9gEftcToSG1avmQBn//jxcyf1/QrpLqqHz6m4dMrdcxxl67hp7/67YuXX3fAftz9yXd1caJ9Z+xTr176y37EhbfyUA8fe3JPRx0xNjgAP/3Vbznu0jVdmihXL/1FKtTfcd2reumxUh8bG5yJlk83n3/f4m6P8DK9/I5royN1wPIlC7iyx8LTqzymI3VILx/n6SXu6agjXnfAfm0t18xldNQRd3/yXXsEZjq/eqXJ8+mVOsbAqBXu6UhKZXQkpTI60j7Sy59I7yaP6Uj70NjwZL6MvujCW3syfO7pSEm68ZGQc754Z/p9TsToSAmafTYtwx1bd/DmVb31JkWfXkkdNrxhO5+4aRPPPLe330GZ6/kCb/nkt7j/0tO6PQpgdKSO6tWPPvxmd+/8elKfXkkdckSPBqfXGB2pQ3pnX6K5Tw3Xuj0CYHSkGeP6ux7pifAYHWkGuf6uR7o9gtGRZppuH+w2OtIM1M3wGB1phupWeIyO1CEnHnlwt0foC0ZH6pAbPnhC34XnXZ9fm36fviNZ6qAbPnjCuNd3+yDuWFue/HX6fbqnI81w2Xs7Rkea4bY8+evU8BgdKdGC+fO6PUJTmU+zjI6UaOXSo4no9hTdZXSkRMuXLOAP/vFhvHJO7/3V2/qzp1Pup/d+cmmaO/KwV/Pjz/5ht8fYw/ptT6Xcj9GRBMDTzz6fcj9GRxIAr94/5217RkcSAMcsOijlfoyOJIL6saYMRkcSDyX+Uj6jI81wR732Van3Z3SkLhnvV/7OnZX3DsLsD336KXOpiyb6XePDG7ZzwY0bk6bJ4Z6O1MOWL1nAle9bTA++gXnSptGPIk1Py5csYMt/XrbPviAs+6NgPr2S+sTYLwg77tI1/PRXvx13m22XLeNTw7Vxf/XMOce/oSPztco9HalP3f3Jd+2x93PikQez7bJlL54ALlk+yLbLlnHumLgEcO7xb+CS5YNZIwPu6Uh9baKvR210yfLB9MA0456OpFRGR1IqoyMpldGRlMroSEpldCSlMjqSUhkdSamMjqRURkdSKqMjKZXRkZTK6EhK5afMpT4yvGE7l6/ezOM7dzEwfx4rlx7N8iULuj1WW1re04mIWRGxISJuqS5/OCIeiIgSEYeOs93uiNhYnW7uxNDSTDS8YTurbqqxfecuCrB95y5W3VRjeMP2bo/WlnaeXn0EuK/h8h3AO4GHJ9huVyllcXU6o90BJdVdvnozu57b/bJlu57bzeWrN3dposlpKToRsRBYBlwzuqyUsqGUsm0fzSVpjMd37mprea9qdU/nSuBjwAuTuI+5EbEuIu6KiOWT2F4SMDB/XlvLe9WEB5Ij4nTgyVLK+og4aRL38YZSyuMR8SbgtoiolVK2jrmPFcAKgIGBAWq12iTupnNGRka6PkMzztWe6TbX+98S3P/Ey59ezZ71Ck5887yO/JxZj1crr16dCJwREacBc4EDI+L6Usq5rdxBKeXx6r8PRsRaYAmwdcw6VwNXAwwNDZXBwe5+j2utVqPbMzTjXO2ZTnMNb9jOleu3s+u5WS8uC+q/yWH5yZ35GbMerwmfXpVSVpVSFpZSFgFnAbe1GpyIOCgi9q/OH0o9YD+ewrzSjNTsIHIBbr//Z90ZaAom/ebAiPjTiHgMWAhsiohrquVDo+eBtwLrIuJe4HbgslKK0ZHaNF0OIkObbw4spawF1lbnrwKuarLOOuD86vz3gN7bv5X6zMD8eWxvEph+O4gMfgxC6gsrlx7NvDmzXrZs3pxZrFx6dJcmmjw/BiH1gdGPOvT7RyDA6Eh9Y/mSBX0ZmbF8eiUpldGRlMroSEpldCSlMjqSUhkdSamMjqRURkdSKqMjKZXRkZTK6EhKZXQkpTI6klIZHUmpjI6kVEZHUiqjIymV0ZGUyuhISmV0JKUyOpJSGR1JqYyOpFRGR1IqoyMpldGRlMroSEpldCSlMjqSUhkdSamMjqRURkdSKqMjKZXRkZTK6EhKZXQkpTI6klIZHUmpjI6kVEZHUiqjIymV0ZGUyuhISmV0JKUyOpJSGR1JqYyOpFRGR1IqoyMpldGRlMroSEpldCSlMjqSUhkdSamMjqRURkdSKqMjKZXRkZTK6EhKZXQkpTI6klIZHUmpjI6kVEZHUqqWoxMRsyJiQ0TcUl3+cEQ8EBElIg4dZ7vzImJLdTqvE0NL6l/t7Ol8BLiv4fIdwDuBh/e2QUQcDFwEHAccC1wUEQdNYk5J00RL0YmIhcAy4JrRZaWUDaWUbRNsuhRYU0rZUUp5ClgDnDrJWSVNA63u6VwJfAx4oc3bXwA82nD5sWqZpBlq9kQrRMTpwJOllPURcVKbtx9NlpUm97ECWAEwMDBArVZr8246a2RkpOszNONc7XGu9mTNNWF0gBOBMyLiNGAucGBEXF9KObeFbR8DTmq4vBBYO3alUsrVwNUAQ0NDZXBwsIWb3ndqtRrdnqEZ52qPc7Una64Jn16VUlaVUhaWUhYBZwG3tRgcgNXAKRFxUHUA+ZRqmaQZatLv04mIP42Ix6jvvWyKiGuq5UOj50spO4DPAt+vThdXyyTNUK08vXpRKWUt1dOjUspVwFVN1lkHnN9w+Vrg2qkMKWn68B3JklIZHUmpjI6kVEZHUiqjIymV0ZGUyuhISmV0JKUyOpJSGR1JqYyOpFRGR1IqoyMpldGRlKqtr7boFed88U7u2PrS1/KceOTB3PDBE7o4kaRW9d2eztjgANyxdQfnfPHOLk0kqR19F52xwZlouaTe0nfRkdTfjI6kVH0XnROPPLit5ZJ6S99F54YPnrBHYHz1SuofffmSuYGR+lff7elI6m9GR1IqoyMpldGRlMroSEpldCSlMjqSUhkdSamMjqRURkdSKqMjKZXRkZTK6EhKZXQkpTI6klIZHUmpjI6kVEZHUiqjIymV0ZGUyuhISmV0JKUyOpJSGR1JqYyOpFRGR1IqoyMpldGRlMroSEpldCSlMjqSUhkdSamMjqRURkdSKqMjKZXRkZTK6EhKZXQkpTI6klIZHUmpjI6kVEZHUiqjIymV0ZGUyuhIStVydCJiVkRsiIhbqstHRMTdEbElIm6MiP2abLMoInZFxMbq9IVODi+p/7Szp/MR4L6Gy58DriilHAU8BfzJXrbbWkpZXJ0+NMk5JU0TLUUnIhYCy4BrqssBnAx8tVrlOmD5vhhQ0vTS6p7OlcDHgBeqy4cAO0spz1eXHwMW7GXbI6qnZf83It4++VElTQezJ1ohIk4HniylrI+Ik0YXN1m1NFn2BPCGUsrPI+IYYDgi3lZK+eWY+1gBrAAYGBigVqu18zN03MjISNdnaMa52uNc7Umbq5Qy7gn4M+p7MtuAfwCeAW4ARoDZ1TonAKtbuK21wNB46xxzzDGl2zZt2tTtEZpyrvY4V3smmgtYVyb4O97KacKnV6WUVaWUhaWURcBZwG2llHOA24Ezq9XOA74xdtuIOCwiZlXn3wQcBTw4qTpKmham8j6djwMfjYgHqB/j+RJARJwRERdX6/wBsCki7qV+0PlDpZQdUxlYUn+b8JhOo1LKWupPkSilPAgc22Sdm4Gbq/NfA7421SElTR++I1lSKqMjKZXRkZTK6EhKZXQkpTI6klIZHUmpjI6kVEZHUiqjIymV0ZGUyuhISmV0JKUyOpJSGR1JqYyOpFRGR1IqoyMpldGRlMroSEpldCSlMjqSUhkdSamMjqRURkdSKqMjKZXRkZTK6EhKZXQkpTI6klIZHUmpjI6kVEZHUiqjIymV0ZGUyuhISmV0JKUyOpJSGR1JqYyOpFRGR1IqoyMpldGRlMroSEpldCSlMjqSUhkdSamMjqRURkdSKqMjKZXRkZTK6EhKZXQkpTI6klIZHUmpjI6kVEZHUiqjIymV0ZGUyuhISmV0JKUyOpJSGR1JqYyOpFRGR1IqoyMpldGRlKrl6ETErIjYEBG3VJePiIi7I2JLRNwYEfvtZbtVEfFARGyOiKWdGlxSf2pnT+cjwH0Nlz8HXFFKOQp4CviTsRtExD8BzgLeBpwK/GVEzJr8uJL6XUvRiYiFwDLgmupyACcDX61WuQ5Y3mTTdwNfKaU8W0p5CHgAOHaqQ0vqX63u6VwJfAx4obp8CLCzlPJ8dfkxYEGT7RYAjzZc3tt6kmaI2ROtEBGnA0+WUtZHxEmji5usWppt3sp6EbECWAEwMDBArVabaKx9amRkpOszNONc7XGu9mTNNWF0gBOBMyLiNGAucCD1PZ/5ETG72ttZCDzeZNvHgMMbLjddr5RyNXA1wNDQUBkcHGzrh+i0Wq1Gt2doxrna41ztyZprwqdXpZRVpZSFpZRF1A8K31ZKOQe4HTizWu084BtNNr8ZOCsi9o+II4CjgHs6MrmkvjSV9+l8HPhoRDxA/RjPlwAi4oyIuBiglPIj4H8BPwb+DvgPpZTdUxtZUj9r5enVi0opa4G11fkHafJKVCnlZup7OKOXLwUuncqQkqYP35EsKZXRkZTK6EhKZXQkpTI6klIZHUmpjI6kVEZHUiqjIymV0ZGUyuhISmV0JKUyOpJSGR1JqYyOpFRGR1IqoyMpldGRlMroSEpldCSlMjqSUhkdSamMjqRURkdSKqMjKZXRkZTK6EhKZXQkpTI6klIZHUmpjI6kVEZHUiqjIymV0ZGUyuhISmV0JKUyOpJSGR1JqYyOpFRGR1IqoyMpldGRlMroSEpldCSlMjqSUhkdSamMjqRURkdSKqMjKZXRkZTK6EhKZXQkpTI6klIZHUmpjI6kVEZHUiqjIymV0ZGUyuhISmV0JKUyOpJSGR1JqYyOpFRGR1IqoyMpldGRlMroSEpldCSlmjA6ETE3Iu6JiHsj4kcR8Zlq+ckR8YOI+GFEXBcRs/ey/e6I2Fidbu70DyCpvzQNxRjPAieXUp6OiDnA/4uI1cB1wDtKKT+JiIuB84AvNdl+VyllcedGltTPJtzTKXVPVxfnVKfdwLOllJ9Uy9cA7903I0qaTlrZ0yEiZgHrgTcDfwHcA8yJiKFSyjrgTODwvWw+NyLWAc8Dl5VShpvc/gpgBcDAwAC1Wq3tH6STRkZGuj5DM87VHudqT9pcpZSWT8B84Hbgd4ATgO9SD9AlwIa9bDNQ/fdNwDbgyPHu45hjjindtmnTpm6P0JRztce52jPRXMC60kYv9nZq69WrUspOYC1wainlzlLK20spxwLfAbbsZZvHq/8+WG27pJ37lDS9tPLq1WERMb86Pw94J3B/RLy2WrY/8HHgC022Pai6nog4FDgR+HHnxpfUb1rZ03k9cHtEbAK+D6wppdwCrIyI+4BNwDdLKbcBRMRQRFxTbftWYF1E3Ev9adllpRSjI81gEx5ILqVsoslTolLKSmBlk+XrgPOr898DBqc+pqTpwnckS0pldCSlMjqSUhkdSamMjqRURkdSKqMjKZXRkZTK6EhKZXQkpTI6klIZHUmpjI6kVEZHUiqjIymV0ZGUyuhISmV0JKUyOpJSGR1JqYyOpFRGR1IqoyMpldGRlMroSEpldCSlMjqSUhkdSamMjqRURkdSKqMjKZXRkZTK6EhKZXQkpTI6klIZHUmpjI6kVEZHUiqjIymV0ZGUyuhISmV0JKUyOpJSGR1JqYyOpFRGR1IqoyMpldGRlMroSEpldCSlMjqSUhkdSamMjqRUs7s9gF7yqeEaX777UXaXwqwIzj7ucC5ZPtjtsaSOMjo94lPDNa6/65EXL+8u5cXLhkfTiU+vesSX7360reVSvzI6PWJ3KW0tl/qV0ekRsyLaWi71K6PTI84+7vC2lkv9ygPJPWL0YLGvXmm6Mzo95JLlg0ZG055PrySlMjqSUhkdSamMjqRURkdSKqMjKdWE0YmIuRFxT0TcGxE/iojPVMtPjogfRMQPI+K6iGj68ntEnBcRW6rTeZ3+AST1l1b2dJ4FTi6l/C6wGDg1In4PuA44q5TyO8DDwB5BiYiDgYuA44BjgYsi4qBODS+p/0wYnVL3dHVxTnXaDTxbSvlJtXwN8N4mmy8F1pRSdpRSnqrWO3XqY0vqVy29IzkiZgHrgTcDfwHcA8yJiKFSyjrgTKDZh4QWAI3fzfBYtWzs7a8AVgAMDAxQq9Xa+Rk6bmRkpOszNONc7XGu9mTN1VJ0Sim7gcURMR/4OvA24CzgiojYH/jfwPNNNm32Eek9vquhlHI1cDXA0NBQGRzs7kcBarUa3Z6hGedqj3O1J2uutl69KqXsBNYCp5ZS7iylvL2UcizwHWBLk00e4+V7QAuBxyc5q6RpoJVXrw6r9nCIiHnAO4H7I+K11bL9gY8DX2iy+WrglIg4qDqAfEq1TNIM1cqezuuB2yNiE/B96geGbwFWRsR9wCbgm6WU2wAiYigirgEopewAPltt933g4mqZpBlqwmM6pZRNwJImy1cCK5ssXwec33D5WuDaqY0pabrwHcmSUhkdSamMjqRURkdSKqMjKZXRkZQqSo/9BsmI+Bn1T61306HASJdnaMa52uNc7ZlorjeWUg6b6p30XHR6QUSsK6UMdXuOsZyrPc7Vnqy5fHolKZXRkZTK6DR3dbcH2Avnao9ztSdlLo/pSErlno6kVDMqOhGxOCLuioiNEbEuIo6tlr8mIr7Z8Bsv/m2TbQ+oths9jUTEldV1H4iInzVcd/7Y7ffVXNV6ayNic8P9v/hdRxFxY0Q8EBF3R8SixMfrlRFxa0TcX61zWcN13X68jomIWvW4XBURUS0/OCLWVL+5ZE27v0RgnLlWNvysP4yI3dUvLRi7/Xcb1ns8Ioar5SdFxC8arvt08lx/HREPNay7uFoe1eP3QERsioh/1tJApZQZc6L+tap/WJ0/DVhbnf8E8Lnq/GHADmC/CW5rPfAH1fkPAH/erbmof5vjUJPl/x74QnX+LODGrLmAVwL/sjq/H/Ddhtvq9uN1D3AC9a/T/XbDbf0X4MLq/IWjtzXVucas80fAbS3c1teA91fnTwJu6fTj1epcwF8DZzZZflr1+AVwPHB3K/PMqD0d6t/PfGB1/jW89NWpBTig+hfv1dT/Z232nc8ARMRRwGup/0XqmbmaeDf1XxUE8FXgHaP/qu/ruUopz5RSbq/O/xb4AfWvq+2ESc8VEa8HDiz1r9stwN8Ay6urGx+v6xqWT3WuRmcDXx7vRiLiAOBkYLjN+9+nczXxbuBvSt1dwPzq8Z1gmknWsx9PwFuBR6j/hort1N9hCXAAcDvwBPA0sGyC2/k08F8bLn+g2nYT9b/ch2fORX1PpwZsBP4jL71A8ENgYcN6W4FDu/B4zQceBN7U7ccLGAL+vuHy26n2IoCdY9Z9qhNzNVz/SuohPHiC23k/8NWGyycBPwfupb5n8bbMuajv6Wyu/ryuAPavlt8C/H7Dev+HJnvce9xeO8P3wwn4++ov29jTu4GrgPdW6/3x6P981H+FzhXUdxPfDDxE/V/Dvd3Hj4FjGi4f0vAH8SGa7Kbuy7mABdV/D6C+Kz26W/4j9ozOIZmPF/Vvp/w2cEEvPF7AP2fP6HyzOj9hdCYzV8O27xu9rwn+H/726O1Ulw8EXl2dPw3YkjkX9a8sDmB/6nuAn66W38qe0Tlmwp+vm4HIPgG/4KW9gAB+2fDgvb1hvduAY/dyG78L/GSc+5gF/CJ7roZ1PkB1vIT6l+CfUJ2fTf1zNZH8eF0LXNUrj1f1F+j+hstnA39Vnd8MvL5hvc2dmKvh+q8D/3qC2ziE+l7N3HHW2UZ7e6xTnqth3ZN4ac/wr4CzG6578fEb7zTTjuk8DvyL6vzJvPRrcx4B3gEQEa8Djqb+dKCZPZ77jnkeewZwX9ZcETE7Ig6tzs8BTqf+LxzAzbz0657PpL5HUTLmqq67hPoxhAvGLO/a41VKeQL4VUQcXx37eT/wjerqxsfrvIblU52LiHhNdd1Et/mvqP+l/k3Dtv+o4RW2Y6m/6vzzrLlG/7yqGZbz8v+/3l+9inU89X88nphwmnZK3u8n4Pepv+p0L3A31a4gMED9aUmtekDPbdhm45jbeBB4y5hlf0b9qcy91I8pvCVrLuBV1babqhn+GzCrum4u8LfAA9RfsXlT4lwLqR/AvI/6saaNwPndfryq80PV9VuBP+elvYBDqD9F2FL9d9xjL63OVV33AeArTbb5FjDQcHkt9d8r17jOhxser7uA38uci/oe4+hjej0vPdUL6r/xd2t1/YTHc0opviNZUq6Z9vRKUpcZHUmpjI6kVEZHUiqjIymV0ZGUyuhISmV0JKX6/xWqmv340gEKAAAAAElFTkSuQmCC\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": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(25,25))\n",
    "full_df.plot(ax=ax, markersize=1)\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": 106,
   "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>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": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "only list-like objects are allowed to be passed to isin(), you passed a [str]",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-109-0af6f0b0766c>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mfull_df\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'geoid10'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0misin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'17031010100'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\Anaconda3\\envs\\geo36\\lib\\site-packages\\pandas\\core\\series.py\u001b[0m in \u001b[0;36misin\u001b[1;34m(self, values)\u001b[0m\n\u001b[0;32m   3588\u001b[0m         \u001b[0mName\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0manimal\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m:\u001b[0m \u001b[0mbool\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3589\u001b[0m         \"\"\"\n\u001b[1;32m-> 3590\u001b[1;33m         \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0malgorithms\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0misin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3591\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_constructor\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__finalize__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3592\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Anaconda3\\envs\\geo36\\lib\\site-packages\\pandas\\core\\algorithms.py\u001b[0m in \u001b[0;36misin\u001b[1;34m(comps, values)\u001b[0m\n\u001b[0;32m    403\u001b[0m         raise TypeError(\"only list-like objects are allowed to be passed\"\n\u001b[0;32m    404\u001b[0m                         \u001b[1;34m\" to isin(), you passed a [{values_type}]\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 405\u001b[1;33m                         .format(values_type=type(values).__name__))\n\u001b[0m\u001b[0;32m    406\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    407\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mABCIndex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mABCSeries\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mndarray\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: only list-like objects are allowed to be passed to isin(), you passed a [str]"
     ]
    }
   ],
   "source": [
    "full_df['geoid10'].isin(17031010100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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