{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Assignment 6: Urban Street Networks and Interactive Web Maps\n",
    "\n",
    "Jack Rummler | MUSA550 | Nov. 23, 2022"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Part 1: Visualizing crash data in Philadelphia"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### 1.1 Load the geometry for the region being analyzed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "import osmnx as ox\n",
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "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>OBJECTID_1</th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>DIST_NAME</th>\n",
       "      <th>ABBREV</th>\n",
       "      <th>Shape__Area</th>\n",
       "      <th>Shape__Length</th>\n",
       "      <th>PlanningDist</th>\n",
       "      <th>DaytimePop</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>River Wards</td>\n",
       "      <td>RW</td>\n",
       "      <td>2.107270e+08</td>\n",
       "      <td>66931.595020</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-75.09798 40.00496, -75.09687 40.005...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>North Delaware</td>\n",
       "      <td>NDEL</td>\n",
       "      <td>2.700915e+08</td>\n",
       "      <td>89213.074378</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-74.98159 40.05363, -74.98139 40.053...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Lower Far Northeast</td>\n",
       "      <td>LFNE</td>\n",
       "      <td>3.068529e+08</td>\n",
       "      <td>92703.285159</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-74.96443 40.11728, -74.96434 40.117...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>Central</td>\n",
       "      <td>CTR</td>\n",
       "      <td>1.782880e+08</td>\n",
       "      <td>71405.143450</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-75.14791 39.96733, -75.14715 39.967...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>University Southwest</td>\n",
       "      <td>USW</td>\n",
       "      <td>1.296468e+08</td>\n",
       "      <td>65267.676141</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-75.18742 39.96338, -75.18644 39.963...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   OBJECTID_1  OBJECTID             DIST_NAME ABBREV   Shape__Area  \\\n",
       "0           1        14           River Wards     RW  2.107270e+08   \n",
       "1           2         3        North Delaware   NDEL  2.700915e+08   \n",
       "2           3         0   Lower Far Northeast   LFNE  3.068529e+08   \n",
       "3           4         9               Central    CTR  1.782880e+08   \n",
       "4           5        10  University Southwest    USW  1.296468e+08   \n",
       "\n",
       "   Shape__Length PlanningDist DaytimePop  \\\n",
       "0   66931.595020         None       None   \n",
       "1   89213.074378         None       None   \n",
       "2   92703.285159         None       None   \n",
       "3   71405.143450         None       None   \n",
       "4   65267.676141         None       None   \n",
       "\n",
       "                                            geometry  \n",
       "0  POLYGON ((-75.09798 40.00496, -75.09687 40.005...  \n",
       "1  POLYGON ((-74.98159 40.05363, -74.98139 40.053...  \n",
       "2  POLYGON ((-74.96443 40.11728, -74.96434 40.117...  \n",
       "3  POLYGON ((-75.14791 39.96733, -75.14715 39.967...  \n",
       "4  POLYGON ((-75.18742 39.96338, -75.18644 39.963...  "
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Using Open Data Philly, I extracted the different districts of Philadelphia, and will use Central as a rough boundary for Center City.\n",
    "\n",
    "districts = \"http://data.phl.opendata.arcgis.com/datasets/0960ea0f38f44146bb562f2b212075aa_0.geojson\"\n",
    "phl = gpd.read_file(districts)\n",
    "phl.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "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>OBJECTID_1</th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>DIST_NAME</th>\n",
       "      <th>ABBREV</th>\n",
       "      <th>Shape__Area</th>\n",
       "      <th>Shape__Length</th>\n",
       "      <th>PlanningDist</th>\n",
       "      <th>DaytimePop</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "      <td>Central</td>\n",
       "      <td>CTR</td>\n",
       "      <td>1.782880e+08</td>\n",
       "      <td>71405.14345</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((-75.14791 39.96733, -75.14715 39.967...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   OBJECTID_1  OBJECTID DIST_NAME ABBREV   Shape__Area  Shape__Length  \\\n",
       "3           4         9   Central    CTR  1.782880e+08    71405.14345   \n",
       "\n",
       "  PlanningDist DaytimePop                                           geometry  \n",
       "3         None       None  POLYGON ((-75.14791 39.96733, -75.14715 39.967...  "
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sel = phl['DIST_NAME'].isin(['Central'])\n",
    "central = phl.loc[sel]\n",
    "central"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "shapely.geometry.polygon.Polygon"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "central_geom = central.geometry[3]\n",
    "type(central_geom)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### 1.2 Get the street network graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Street Network - Center City, Philadelphia, PA\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 800x800 with 1 Axes>, <AxesSubplot:>)"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"Street Network - Center City, Philadelphia, PA\")\n",
    "G = ox.graph_from_polygon(central_geom, network_type='drive')\n",
    "ox.plot_graph(G, node_size=0) # Visualizing Center City"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### 1.3 Convert your network graph edges to a GeoDataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "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></th>\n",
       "      <th></th>\n",
       "      <th>osmid</th>\n",
       "      <th>oneway</th>\n",
       "      <th>name</th>\n",
       "      <th>highway</th>\n",
       "      <th>reversed</th>\n",
       "      <th>length</th>\n",
       "      <th>geometry</th>\n",
       "      <th>lanes</th>\n",
       "      <th>maxspeed</th>\n",
       "      <th>tunnel</th>\n",
       "      <th>bridge</th>\n",
       "      <th>ref</th>\n",
       "      <th>width</th>\n",
       "      <th>service</th>\n",
       "      <th>access</th>\n",
       "      <th>junction</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>u</th>\n",
       "      <th>v</th>\n",
       "      <th>key</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>109727439</th>\n",
       "      <th>109911666</th>\n",
       "      <th>0</th>\n",
       "      <td>132508434</td>\n",
       "      <td>True</td>\n",
       "      <td>Bainbridge Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>44.137</td>\n",
       "      <td>LINESTRING (-75.17104 39.94345, -75.17053 39.9...</td>\n",
       "      <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 rowspan=\"2\" valign=\"top\">109727448</th>\n",
       "      <th>109727439</th>\n",
       "      <th>0</th>\n",
       "      <td>12109011</td>\n",
       "      <td>True</td>\n",
       "      <td>South Colorado Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>109.484</td>\n",
       "      <td>LINESTRING (-75.17125 39.94248, -75.17120 39.9...</td>\n",
       "      <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>110034229</th>\n",
       "      <th>0</th>\n",
       "      <td>12159387</td>\n",
       "      <td>True</td>\n",
       "      <td>Fitzwater Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>91.353</td>\n",
       "      <td>LINESTRING (-75.17125 39.94248, -75.17137 39.9...</td>\n",
       "      <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>109727507</th>\n",
       "      <th>110024052</th>\n",
       "      <th>0</th>\n",
       "      <td>193364514</td>\n",
       "      <td>True</td>\n",
       "      <td>Carpenter Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>53.208</td>\n",
       "      <td>LINESTRING (-75.17196 39.93973, -75.17134 39.9...</td>\n",
       "      <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>109728761</th>\n",
       "      <th>110274344</th>\n",
       "      <th>0</th>\n",
       "      <td>672312336</td>\n",
       "      <td>True</td>\n",
       "      <td>Brown Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>58.270</td>\n",
       "      <td>LINESTRING (-75.17317 39.96951, -75.17250 39.9...</td>\n",
       "      <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": [
       "                             osmid  oneway                   name  \\\n",
       "u         v         key                                             \n",
       "109727439 109911666 0    132508434    True      Bainbridge Street   \n",
       "109727448 109727439 0     12109011    True  South Colorado Street   \n",
       "          110034229 0     12159387    True       Fitzwater Street   \n",
       "109727507 110024052 0    193364514    True       Carpenter Street   \n",
       "109728761 110274344 0    672312336    True           Brown Street   \n",
       "\n",
       "                             highway reversed   length  \\\n",
       "u         v         key                                  \n",
       "109727439 109911666 0    residential    False   44.137   \n",
       "109727448 109727439 0    residential    False  109.484   \n",
       "          110034229 0    residential    False   91.353   \n",
       "109727507 110024052 0    residential    False   53.208   \n",
       "109728761 110274344 0    residential    False   58.270   \n",
       "\n",
       "                                                                  geometry  \\\n",
       "u         v         key                                                      \n",
       "109727439 109911666 0    LINESTRING (-75.17104 39.94345, -75.17053 39.9...   \n",
       "109727448 109727439 0    LINESTRING (-75.17125 39.94248, -75.17120 39.9...   \n",
       "          110034229 0    LINESTRING (-75.17125 39.94248, -75.17137 39.9...   \n",
       "109727507 110024052 0    LINESTRING (-75.17196 39.93973, -75.17134 39.9...   \n",
       "109728761 110274344 0    LINESTRING (-75.17317 39.96951, -75.17250 39.9...   \n",
       "\n",
       "                        lanes maxspeed tunnel bridge  ref width service  \\\n",
       "u         v         key                                                   \n",
       "109727439 109911666 0     NaN      NaN    NaN    NaN  NaN   NaN     NaN   \n",
       "109727448 109727439 0     NaN      NaN    NaN    NaN  NaN   NaN     NaN   \n",
       "          110034229 0     NaN      NaN    NaN    NaN  NaN   NaN     NaN   \n",
       "109727507 110024052 0     NaN      NaN    NaN    NaN  NaN   NaN     NaN   \n",
       "109728761 110274344 0     NaN      NaN    NaN    NaN  NaN   NaN     NaN   \n",
       "\n",
       "                        access junction  \n",
       "u         v         key                  \n",
       "109727439 109911666 0      NaN      NaN  \n",
       "109727448 109727439 0      NaN      NaN  \n",
       "          110034229 0      NaN      NaN  \n",
       "109727507 110024052 0      NaN      NaN  \n",
       "109728761 110274344 0      NaN      NaN  "
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edges = ox.graph_to_gdfs(G, edges=True, nodes=False) # Extracting geometries of the street network and turning them into a gdf\n",
    "edges.head() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### 1.4 Load PennDOT crash data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ARRIVAL_TM</th>\n",
       "      <th>AUTOMOBILE_COUNT</th>\n",
       "      <th>BELTED_DEATH_COUNT</th>\n",
       "      <th>BELTED_SUSP_SERIOUS_INJ_COUNT</th>\n",
       "      <th>BICYCLE_COUNT</th>\n",
       "      <th>BICYCLE_DEATH_COUNT</th>\n",
       "      <th>BICYCLE_SUSP_SERIOUS_INJ_COUNT</th>\n",
       "      <th>BUS_COUNT</th>\n",
       "      <th>CHLDPAS_DEATH_COUNT</th>\n",
       "      <th>CHLDPAS_SUSP_SERIOUS_INJ_COUNT</th>\n",
       "      <th>...</th>\n",
       "      <th>WZ_LN_CLOSURE</th>\n",
       "      <th>WZ_MOVING</th>\n",
       "      <th>WZ_OTHER</th>\n",
       "      <th>WZ_SHLDER_MDN</th>\n",
       "      <th>ROADWAY_CLEARED</th>\n",
       "      <th>WEATHER1</th>\n",
       "      <th>WEATHER2</th>\n",
       "      <th>WZ_WORKERS_INJ_KILLED</th>\n",
       "      <th>SECONDARY_CRASH</th>\n",
       "      <th>INTERSECTION_RELATED</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1710.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1650.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1703.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1238.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1152.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
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       "<p>5 rows × 99 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   ARRIVAL_TM  AUTOMOBILE_COUNT  BELTED_DEATH_COUNT  \\\n",
       "0      1646.0                 1                   0   \n",
       "1      1650.0                 0                   0   \n",
       "2      1703.0                 3                   0   \n",
       "3      1238.0                 3                   0   \n",
       "4      1152.0                 0                   0   \n",
       "\n",
       "   BELTED_SUSP_SERIOUS_INJ_COUNT  BICYCLE_COUNT  BICYCLE_DEATH_COUNT  \\\n",
       "0                              0              0                    0   \n",
       "1                              0              0                    0   \n",
       "2                              0              0                    0   \n",
       "3                              0              0                    0   \n",
       "4                              0              0                    0   \n",
       "\n",
       "   BICYCLE_SUSP_SERIOUS_INJ_COUNT  BUS_COUNT  CHLDPAS_DEATH_COUNT  \\\n",
       "0                               0          0                    0   \n",
       "1                               0          0                    0   \n",
       "2                               0          0                    0   \n",
       "3                               0          0                    0   \n",
       "4                               0          0                    0   \n",
       "\n",
       "   CHLDPAS_SUSP_SERIOUS_INJ_COUNT  ...  WZ_LN_CLOSURE  WZ_MOVING  WZ_OTHER  \\\n",
       "0                               0  ...            NaN        NaN       NaN   \n",
       "1                               0  ...            NaN        NaN       NaN   \n",
       "2                               0  ...            NaN        NaN       NaN   \n",
       "3                               0  ...            NaN        NaN       NaN   \n",
       "4                               0  ...            NaN        NaN       NaN   \n",
       "\n",
       "   WZ_SHLDER_MDN  ROADWAY_CLEARED  WEATHER1  WEATHER2  WZ_WORKERS_INJ_KILLED  \\\n",
       "0            NaN           1710.0         3       3.0                    NaN   \n",
       "1            NaN              5.0         3       3.0                    NaN   \n",
       "2            NaN              NaN         3       NaN                    NaN   \n",
       "3            NaN              NaN         3       NaN                    NaN   \n",
       "4            NaN              NaN         3       NaN                    NaN   \n",
       "\n",
       "   SECONDARY_CRASH  INTERSECTION_RELATED  \n",
       "0                N                     N  \n",
       "1                N                     N  \n",
       "2                N                   NaN  \n",
       "3                N                     N  \n",
       "4                N                     N  \n",
       "\n",
       "[5 rows x 99 columns]"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crash = pd.read_csv(\"./data/CRASH_PHILADELPHIA_2021.csv\") # 2021 crash data, Source: Open Data Philly\n",
    "crash.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### 1.5 Convert the crash data to a GeoDataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>2</th>\n",
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       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-75.19210 39.95280)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1238.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>POINT (-75.08820 39.98890)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1152.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>POINT (-75.21200 39.88610)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 100 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   ARRIVAL_TM  AUTOMOBILE_COUNT  BELTED_DEATH_COUNT  \\\n",
       "0      1646.0                 1                   0   \n",
       "1      1650.0                 0                   0   \n",
       "2      1703.0                 3                   0   \n",
       "3      1238.0                 3                   0   \n",
       "4      1152.0                 0                   0   \n",
       "\n",
       "   BELTED_SUSP_SERIOUS_INJ_COUNT  BICYCLE_COUNT  BICYCLE_DEATH_COUNT  \\\n",
       "0                              0              0                    0   \n",
       "1                              0              0                    0   \n",
       "2                              0              0                    0   \n",
       "3                              0              0                    0   \n",
       "4                              0              0                    0   \n",
       "\n",
       "   BICYCLE_SUSP_SERIOUS_INJ_COUNT  BUS_COUNT  CHLDPAS_DEATH_COUNT  \\\n",
       "0                               0          0                    0   \n",
       "1                               0          0                    0   \n",
       "2                               0          0                    0   \n",
       "3                               0          0                    0   \n",
       "4                               0          0                    0   \n",
       "\n",
       "   CHLDPAS_SUSP_SERIOUS_INJ_COUNT  ...  WZ_MOVING  WZ_OTHER  WZ_SHLDER_MDN  \\\n",
       "0                               0  ...        NaN       NaN            NaN   \n",
       "1                               0  ...        NaN       NaN            NaN   \n",
       "2                               0  ...        NaN       NaN            NaN   \n",
       "3                               0  ...        NaN       NaN            NaN   \n",
       "4                               0  ...        NaN       NaN            NaN   \n",
       "\n",
       "   ROADWAY_CLEARED  WEATHER1  WEATHER2  WZ_WORKERS_INJ_KILLED  \\\n",
       "0           1710.0         3       3.0                    NaN   \n",
       "1              5.0         3       3.0                    NaN   \n",
       "2              NaN         3       NaN                    NaN   \n",
       "3              NaN         3       NaN                    NaN   \n",
       "4              NaN         3       NaN                    NaN   \n",
       "\n",
       "   SECONDARY_CRASH  INTERSECTION_RELATED                    geometry  \n",
       "0                N                     N  POINT (-75.19130 40.00820)  \n",
       "1                N                     N  POINT (-75.19360 39.94240)  \n",
       "2                N                   NaN  POINT (-75.19210 39.95280)  \n",
       "3                N                     N  POINT (-75.08820 39.98890)  \n",
       "4                N                     N  POINT (-75.21200 39.88610)  \n",
       "\n",
       "[5 rows x 100 columns]"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crashgeo = gpd.GeoDataFrame(\n",
    "crash,\n",
    "geometry = gpd.points_from_xy(crash.DEC_LONG, crash.DEC_LAT),\n",
    "crs=\"epsg:4326\")\n",
    "crashgeo.head() # Turning dataframe into geodataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### 1.6 Trim the crash data to Center City"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-75.1929626 39.9285775 0.061063199999992435 0.04740209999999223\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,79.9045571)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.0012212639999998488\" opacity=\"0.6\" d=\"M -75.144238,39.9308391 L -75.1890226,39.9394403 L -75.1891351,39.9395201 L -75.190701,39.941696 L -75.1895448,39.9730239 L -75.18953,39.973076 L -75.1895068,39.9731222 L -75.1891168,39.973718 L -75.1870043,39.97362 L -75.1460714,39.9703298 L -75.1454757,39.9702586 L -75.1420092,39.9698277 L -75.1397,39.9695363 L -75.1396437,39.9695281 L -75.1395623,39.9695139 L -75.1394776,39.9694989 L -75.1391107,39.9694305 L -75.1385005,39.9693167 L -75.1362559,39.9688362 L -75.1344136,39.9661083 L -75.134161,39.9645269 L -75.1421281,39.9358493 L -75.1422246,39.9355491 L -75.1438876,39.9311025 L -75.144238,39.9308391 z\" /></g></svg>",
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x24a909ac850>"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cc_edges = edges.unary_union.convex_hull # Unioning geometries\n",
    "cc_edges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "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>ARRIVAL_TM</th>\n",
       "      <th>AUTOMOBILE_COUNT</th>\n",
       "      <th>BELTED_DEATH_COUNT</th>\n",
       "      <th>BELTED_SUSP_SERIOUS_INJ_COUNT</th>\n",
       "      <th>BICYCLE_COUNT</th>\n",
       "      <th>BICYCLE_DEATH_COUNT</th>\n",
       "      <th>BICYCLE_SUSP_SERIOUS_INJ_COUNT</th>\n",
       "      <th>BUS_COUNT</th>\n",
       "      <th>CHLDPAS_DEATH_COUNT</th>\n",
       "      <th>CHLDPAS_SUSP_SERIOUS_INJ_COUNT</th>\n",
       "      <th>...</th>\n",
       "      <th>WZ_MOVING</th>\n",
       "      <th>WZ_OTHER</th>\n",
       "      <th>WZ_SHLDER_MDN</th>\n",
       "      <th>ROADWAY_CLEARED</th>\n",
       "      <th>WEATHER1</th>\n",
       "      <th>WEATHER2</th>\n",
       "      <th>WZ_WORKERS_INJ_KILLED</th>\n",
       "      <th>SECONDARY_CRASH</th>\n",
       "      <th>INTERSECTION_RELATED</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1236.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1333.0</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>POINT (-75.18070 39.95970)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>602.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>POINT (-75.14910 39.95490)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>1717.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>POINT (-75.18240 39.95160)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>738.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>N</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-75.14570 39.95760)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2020.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Y</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-75.16330 39.95340)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 100 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    ARRIVAL_TM  AUTOMOBILE_COUNT  BELTED_DEATH_COUNT  \\\n",
       "9       1236.0                 1                   0   \n",
       "13       602.0                 0                   0   \n",
       "31      1717.0                 0                   0   \n",
       "36       738.0                 1                   0   \n",
       "38      2020.0                 0                   0   \n",
       "\n",
       "    BELTED_SUSP_SERIOUS_INJ_COUNT  BICYCLE_COUNT  BICYCLE_DEATH_COUNT  \\\n",
       "9                               0              0                    0   \n",
       "13                              0              0                    0   \n",
       "31                              0              0                    0   \n",
       "36                              0              0                    0   \n",
       "38                              0              0                    0   \n",
       "\n",
       "    BICYCLE_SUSP_SERIOUS_INJ_COUNT  BUS_COUNT  CHLDPAS_DEATH_COUNT  \\\n",
       "9                                0          0                    0   \n",
       "13                               0          0                    0   \n",
       "31                               0          0                    0   \n",
       "36                               0          0                    0   \n",
       "38                               0          0                    0   \n",
       "\n",
       "    CHLDPAS_SUSP_SERIOUS_INJ_COUNT  ...  WZ_MOVING  WZ_OTHER  WZ_SHLDER_MDN  \\\n",
       "9                                0  ...        NaN       NaN            NaN   \n",
       "13                               0  ...        NaN       NaN            NaN   \n",
       "31                               0  ...        NaN       NaN            NaN   \n",
       "36                               0  ...        NaN       NaN            NaN   \n",
       "38                               0  ...        NaN       NaN            NaN   \n",
       "\n",
       "    ROADWAY_CLEARED  WEATHER1  WEATHER2  WZ_WORKERS_INJ_KILLED  \\\n",
       "9            1333.0         3       NaN                    NaN   \n",
       "13              NaN         3       3.0                    NaN   \n",
       "31              NaN        10       NaN                    NaN   \n",
       "36              NaN         3       3.0                    NaN   \n",
       "38              NaN         3       3.0                    NaN   \n",
       "\n",
       "    SECONDARY_CRASH  INTERSECTION_RELATED                    geometry  \n",
       "9                 N                     N  POINT (-75.18070 39.95970)  \n",
       "13                N                     N  POINT (-75.14910 39.95490)  \n",
       "31                N                     N  POINT (-75.18240 39.95160)  \n",
       "36                N                   NaN  POINT (-75.14570 39.95760)  \n",
       "38                Y                   NaN  POINT (-75.16330 39.95340)  \n",
       "\n",
       "[5 rows x 100 columns]"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crashcc = crashgeo[crashgeo.within(cc_edges)] # Extracting Center City geometries\n",
    "crashcc.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.7 Re-project our data into an approriate CRS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 800x800 with 1 Axes>, <AxesSubplot:>)"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G_proj = ox.project_graph(G, to_crs=\"epsg:2272\")\n",
    "ox.plot_graph(G_proj, node_size=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "crashcc2 = crashcc.to_crs(\"epsg:2272\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### 1.8 Find the nearest edge for each crash"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [],
   "source": [
    "crash_x = crashcc2.geometry.x\n",
    "crash_y = crashcc2.geometry.y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "nearest_edges = ox.distance.nearest_edges(G_proj, crash_x, crash_y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### 1.9 Calculate the total number of crashes per street"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "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>u</th>\n",
       "      <th>v</th>\n",
       "      <th>key</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8482829382</td>\n",
       "      <td>7065714513</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7384791791</td>\n",
       "      <td>775424603</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2043885897</td>\n",
       "      <td>5879856051</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>109739559</td>\n",
       "      <td>110225812</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>110402209</td>\n",
       "      <td>110416548</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1287</th>\n",
       "      <td>5562239293</td>\n",
       "      <td>1888418037</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1288</th>\n",
       "      <td>109799565</td>\n",
       "      <td>109799300</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1289</th>\n",
       "      <td>109784213</td>\n",
       "      <td>109789845</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1290</th>\n",
       "      <td>7738709997</td>\n",
       "      <td>1479201367</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1291</th>\n",
       "      <td>109770355</td>\n",
       "      <td>109770169</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1292 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               u           v  key\n",
       "0     8482829382  7065714513    0\n",
       "1     7384791791   775424603    0\n",
       "2     2043885897  5879856051    0\n",
       "3      109739559   110225812    0\n",
       "4      110402209   110416548    0\n",
       "...          ...         ...  ...\n",
       "1287  5562239293  1888418037    0\n",
       "1288   109799565   109799300    0\n",
       "1289   109784213   109789845    0\n",
       "1290  7738709997  1479201367    0\n",
       "1291   109770355   109770169    0\n",
       "\n",
       "[1292 rows x 3 columns]"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(nearest_edges, columns=['u', 'v', 'key'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "<p>490 rows × 3 columns</p>\n",
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      "text/plain": [
       "              u           v  Crash_Count\n",
       "0     109729474  3425014859            2\n",
       "1     109729486   109729699            1\n",
       "2     109729486   110342146            2\n",
       "3     109729699   109811674            2\n",
       "4     109729709   109729731            3\n",
       "..          ...         ...          ...\n",
       "485  7738709997  1479201367            2\n",
       "486  8482829382  7065714513           69\n",
       "487  8553549495   109811783            1\n",
       "488  9244049904   634779465            2\n",
       "489  9518379104   110318202           25\n",
       "\n",
       "[490 rows x 3 columns]"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_crash = df.groupby(['u', 'v']).size().reset_index(name='Crash_Count')\n",
    "total_crash # Determining crash counts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### 1.10 Merge your edges GeoDataFrame and crash count DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
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       "      <th>u</th>\n",
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       "      <th>osmid</th>\n",
       "      <th>oneway</th>\n",
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       "      <th>highway</th>\n",
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       "      <td>Fitzwater Street</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>109727507</td>\n",
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       "      <td>193364514</td>\n",
       "      <td>True</td>\n",
       "      <td>Carpenter Street</td>\n",
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       "      <td>110274344</td>\n",
       "      <td>672312336</td>\n",
       "      <td>True</td>\n",
       "      <td>Brown Street</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>10132121779</td>\n",
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       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>3927</th>\n",
       "      <td>10132121780</td>\n",
       "      <td>109801992</td>\n",
       "      <td>12114483</td>\n",
       "      <td>True</td>\n",
       "      <td>North Lee Street</td>\n",
       "      <td>residential</td>\n",
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       "      <td>61.339</td>\n",
       "      <td>LINESTRING (-75.13607 39.96775, -75.13623 39.9...</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<p>3928 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                u            v       osmid  oneway                   name  \\\n",
       "0       109727439    109911666   132508434    True      Bainbridge Street   \n",
       "1       109727448    109727439    12109011    True  South Colorado Street   \n",
       "2       109727448    110034229    12159387    True       Fitzwater Street   \n",
       "3       109727507    110024052   193364514    True       Carpenter Street   \n",
       "4       109728761    110274344   672312336    True           Brown Street   \n",
       "...           ...          ...         ...     ...                    ...   \n",
       "3923  10131978091    109893257    62153768    True         Florist Street   \n",
       "3924  10131978091  10131978090  1107306685   False                    NaN   \n",
       "3925  10132121779  10132121780  1107321326   False                    NaN   \n",
       "3926  10132121780  10132121779  1107321326   False                    NaN   \n",
       "3927  10132121780    109801992    12114483    True       North Lee Street   \n",
       "\n",
       "           highway reversed   length  \\\n",
       "0      residential    False   44.137   \n",
       "1      residential    False  109.484   \n",
       "2      residential    False   91.353   \n",
       "3      residential    False   53.208   \n",
       "4      residential    False   58.270   \n",
       "...            ...      ...      ...   \n",
       "3923   residential    False   29.820   \n",
       "3924  unclassified     True    8.061   \n",
       "3925  unclassified    False   36.512   \n",
       "3926  unclassified     True   36.512   \n",
       "3927   residential    False   61.339   \n",
       "\n",
       "                                               geometry lanes maxspeed tunnel  \\\n",
       "0     LINESTRING (-75.17104 39.94345, -75.17053 39.9...   NaN      NaN    NaN   \n",
       "1     LINESTRING (-75.17125 39.94248, -75.17120 39.9...   NaN      NaN    NaN   \n",
       "2     LINESTRING (-75.17125 39.94248, -75.17137 39.9...   NaN      NaN    NaN   \n",
       "3     LINESTRING (-75.17196 39.93973, -75.17134 39.9...   NaN      NaN    NaN   \n",
       "4     LINESTRING (-75.17317 39.96951, -75.17250 39.9...   NaN      NaN    NaN   \n",
       "...                                                 ...   ...      ...    ...   \n",
       "3923  LINESTRING (-75.14316 39.95428, -75.14282 39.9...   NaN      NaN    NaN   \n",
       "3924  LINESTRING (-75.14316 39.95428, -75.14319 39.9...   NaN      NaN    NaN   \n",
       "3925  LINESTRING (-75.13649 39.96783, -75.13607 39.9...   NaN      NaN    NaN   \n",
       "3926  LINESTRING (-75.13607 39.96775, -75.13649 39.9...   NaN      NaN    NaN   \n",
       "3927  LINESTRING (-75.13607 39.96775, -75.13623 39.9...   NaN      NaN    NaN   \n",
       "\n",
       "     bridge  ref width service access junction  Crash_Count  \n",
       "0       NaN  NaN   NaN     NaN    NaN      NaN          NaN  \n",
       "1       NaN  NaN   NaN     NaN    NaN      NaN          NaN  \n",
       "2       NaN  NaN   NaN     NaN    NaN      NaN          NaN  \n",
       "3       NaN  NaN   NaN     NaN    NaN      NaN          NaN  \n",
       "4       NaN  NaN   NaN     NaN    NaN      NaN          NaN  \n",
       "...     ...  ...   ...     ...    ...      ...          ...  \n",
       "3923    NaN  NaN   NaN     NaN    NaN      NaN          NaN  \n",
       "3924    NaN  NaN   NaN     NaN    NaN      NaN          NaN  \n",
       "3925    NaN  NaN   NaN     NaN    NaN      NaN          NaN  \n",
       "3926    NaN  NaN   NaN     NaN    NaN      NaN          NaN  \n",
       "3927    NaN  NaN   NaN     NaN    NaN      NaN          NaN  \n",
       "\n",
       "[3928 rows x 19 columns]"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edgemerge = edges.merge(total_crash, on=['u', 'v'], how='left')\n",
    "edgemerge"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.11 Calculate a \"Crash Index\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>u</th>\n",
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       "      <th>width</th>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>109727507</td>\n",
       "      <td>110024052</td>\n",
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       "      <td>True</td>\n",
       "      <td>Carpenter Street</td>\n",
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       "      <td>110274344</td>\n",
       "      <td>672312336</td>\n",
       "      <td>True</td>\n",
       "      <td>Brown Street</td>\n",
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       "      <td>True</td>\n",
       "      <td>North Lee Street</td>\n",
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      ],
      "text/plain": [
       "                u            v       osmid  oneway                   name  \\\n",
       "0       109727439    109911666   132508434    True      Bainbridge Street   \n",
       "1       109727448    109727439    12109011    True  South Colorado Street   \n",
       "2       109727448    110034229    12159387    True       Fitzwater Street   \n",
       "3       109727507    110024052   193364514    True       Carpenter Street   \n",
       "4       109728761    110274344   672312336    True           Brown Street   \n",
       "...           ...          ...         ...     ...                    ...   \n",
       "3923  10131978091    109893257    62153768    True         Florist Street   \n",
       "3924  10131978091  10131978090  1107306685   False                    NaN   \n",
       "3925  10132121779  10132121780  1107321326   False                    NaN   \n",
       "3926  10132121780  10132121779  1107321326   False                    NaN   \n",
       "3927  10132121780    109801992    12114483    True       North Lee Street   \n",
       "\n",
       "           highway reversed   length  \\\n",
       "0      residential    False   44.137   \n",
       "1      residential    False  109.484   \n",
       "2      residential    False   91.353   \n",
       "3      residential    False   53.208   \n",
       "4      residential    False   58.270   \n",
       "...            ...      ...      ...   \n",
       "3923   residential    False   29.820   \n",
       "3924  unclassified     True    8.061   \n",
       "3925  unclassified    False   36.512   \n",
       "3926  unclassified     True   36.512   \n",
       "3927   residential    False   61.339   \n",
       "\n",
       "                                               geometry lanes maxspeed tunnel  \\\n",
       "0     LINESTRING (-75.17104 39.94345, -75.17053 39.9...   NaN      NaN    NaN   \n",
       "1     LINESTRING (-75.17125 39.94248, -75.17120 39.9...   NaN      NaN    NaN   \n",
       "2     LINESTRING (-75.17125 39.94248, -75.17137 39.9...   NaN      NaN    NaN   \n",
       "3     LINESTRING (-75.17196 39.93973, -75.17134 39.9...   NaN      NaN    NaN   \n",
       "4     LINESTRING (-75.17317 39.96951, -75.17250 39.9...   NaN      NaN    NaN   \n",
       "...                                                 ...   ...      ...    ...   \n",
       "3923  LINESTRING (-75.14316 39.95428, -75.14282 39.9...   NaN      NaN    NaN   \n",
       "3924  LINESTRING (-75.14316 39.95428, -75.14319 39.9...   NaN      NaN    NaN   \n",
       "3925  LINESTRING (-75.13649 39.96783, -75.13607 39.9...   NaN      NaN    NaN   \n",
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       "3927  LINESTRING (-75.13607 39.96775, -75.13623 39.9...   NaN      NaN    NaN   \n",
       "\n",
       "     bridge  ref width service access junction  Crash_Count  crash_per_length  \n",
       "0       NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "1       NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "2       NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "3       NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "4       NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "...     ...  ...   ...     ...    ...      ...          ...               ...  \n",
       "3923    NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "3924    NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "3925    NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "3926    NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "3927    NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "\n",
       "[3928 rows x 20 columns]"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edgemerge['Crash_Count'] = edgemerge['Crash_Count'].fillna(0)\n",
    "edgemerge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
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       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>58.270</td>\n",
       "      <td>LINESTRING (-75.17317 39.96951, -75.17250 39.9...</td>\n",
       "      <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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3923</th>\n",
       "      <td>10131978091</td>\n",
       "      <td>109893257</td>\n",
       "      <td>62153768</td>\n",
       "      <td>True</td>\n",
       "      <td>Florist Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>29.820</td>\n",
       "      <td>LINESTRING (-75.14316 39.95428, -75.14282 39.9...</td>\n",
       "      <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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3924</th>\n",
       "      <td>10131978091</td>\n",
       "      <td>10131978090</td>\n",
       "      <td>1107306685</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unclassified</td>\n",
       "      <td>True</td>\n",
       "      <td>8.061</td>\n",
       "      <td>LINESTRING (-75.14316 39.95428, -75.14319 39.9...</td>\n",
       "      <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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3925</th>\n",
       "      <td>10132121779</td>\n",
       "      <td>10132121780</td>\n",
       "      <td>1107321326</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unclassified</td>\n",
       "      <td>False</td>\n",
       "      <td>36.512</td>\n",
       "      <td>LINESTRING (-75.13649 39.96783, -75.13607 39.9...</td>\n",
       "      <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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3926</th>\n",
       "      <td>10132121780</td>\n",
       "      <td>10132121779</td>\n",
       "      <td>1107321326</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unclassified</td>\n",
       "      <td>True</td>\n",
       "      <td>36.512</td>\n",
       "      <td>LINESTRING (-75.13607 39.96775, -75.13649 39.9...</td>\n",
       "      <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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3927</th>\n",
       "      <td>10132121780</td>\n",
       "      <td>109801992</td>\n",
       "      <td>12114483</td>\n",
       "      <td>True</td>\n",
       "      <td>North Lee Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>61.339</td>\n",
       "      <td>LINESTRING (-75.13607 39.96775, -75.13623 39.9...</td>\n",
       "      <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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3928 rows × 20 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                u            v       osmid  oneway                   name  \\\n",
       "0       109727439    109911666   132508434    True      Bainbridge Street   \n",
       "1       109727448    109727439    12109011    True  South Colorado Street   \n",
       "2       109727448    110034229    12159387    True       Fitzwater Street   \n",
       "3       109727507    110024052   193364514    True       Carpenter Street   \n",
       "4       109728761    110274344   672312336    True           Brown Street   \n",
       "...           ...          ...         ...     ...                    ...   \n",
       "3923  10131978091    109893257    62153768    True         Florist Street   \n",
       "3924  10131978091  10131978090  1107306685   False                    NaN   \n",
       "3925  10132121779  10132121780  1107321326   False                    NaN   \n",
       "3926  10132121780  10132121779  1107321326   False                    NaN   \n",
       "3927  10132121780    109801992    12114483    True       North Lee Street   \n",
       "\n",
       "           highway reversed   length  \\\n",
       "0      residential    False   44.137   \n",
       "1      residential    False  109.484   \n",
       "2      residential    False   91.353   \n",
       "3      residential    False   53.208   \n",
       "4      residential    False   58.270   \n",
       "...            ...      ...      ...   \n",
       "3923   residential    False   29.820   \n",
       "3924  unclassified     True    8.061   \n",
       "3925  unclassified    False   36.512   \n",
       "3926  unclassified     True   36.512   \n",
       "3927   residential    False   61.339   \n",
       "\n",
       "                                               geometry lanes maxspeed tunnel  \\\n",
       "0     LINESTRING (-75.17104 39.94345, -75.17053 39.9...   NaN      NaN    NaN   \n",
       "1     LINESTRING (-75.17125 39.94248, -75.17120 39.9...   NaN      NaN    NaN   \n",
       "2     LINESTRING (-75.17125 39.94248, -75.17137 39.9...   NaN      NaN    NaN   \n",
       "3     LINESTRING (-75.17196 39.93973, -75.17134 39.9...   NaN      NaN    NaN   \n",
       "4     LINESTRING (-75.17317 39.96951, -75.17250 39.9...   NaN      NaN    NaN   \n",
       "...                                                 ...   ...      ...    ...   \n",
       "3923  LINESTRING (-75.14316 39.95428, -75.14282 39.9...   NaN      NaN    NaN   \n",
       "3924  LINESTRING (-75.14316 39.95428, -75.14319 39.9...   NaN      NaN    NaN   \n",
       "3925  LINESTRING (-75.13649 39.96783, -75.13607 39.9...   NaN      NaN    NaN   \n",
       "3926  LINESTRING (-75.13607 39.96775, -75.13649 39.9...   NaN      NaN    NaN   \n",
       "3927  LINESTRING (-75.13607 39.96775, -75.13623 39.9...   NaN      NaN    NaN   \n",
       "\n",
       "     bridge  ref width service access junction  Crash_Count  crash_per_length  \n",
       "0       NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "1       NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "2       NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "3       NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "4       NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "...     ...  ...   ...     ...    ...      ...          ...               ...  \n",
       "3923    NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "3924    NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "3925    NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "3926    NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "3927    NaN  NaN   NaN     NaN    NaN      NaN          0.0               0.0  \n",
       "\n",
       "[3928 rows x 20 columns]"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edgemerge['crash_per_length'] = edgemerge['Crash_Count'] / edgemerge['length']\n",
    "edgemerge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [],
   "source": [
    "abovezero = edgemerge['Crash_Count'] > 0\n",
    "log = np.log10(edgemerge.loc[abovezero]['crash_per_length'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>u</th>\n",
       "      <th>v</th>\n",
       "      <th>osmid</th>\n",
       "      <th>oneway</th>\n",
       "      <th>name</th>\n",
       "      <th>highway</th>\n",
       "      <th>reversed</th>\n",
       "      <th>length</th>\n",
       "      <th>geometry</th>\n",
       "      <th>lanes</th>\n",
       "      <th>...</th>\n",
       "      <th>tunnel</th>\n",
       "      <th>bridge</th>\n",
       "      <th>ref</th>\n",
       "      <th>width</th>\n",
       "      <th>service</th>\n",
       "      <th>access</th>\n",
       "      <th>junction</th>\n",
       "      <th>Crash_Count</th>\n",
       "      <th>crash_per_length</th>\n",
       "      <th>crash_index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>109727439</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>109727448</td>\n",
       "      <td>109727439</td>\n",
       "      <td>12109011</td>\n",
       "      <td>True</td>\n",
       "      <td>South Colorado Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>109.484</td>\n",
       "      <td>LINESTRING (-75.17125 39.94248, -75.17120 39.9...</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>109727448</td>\n",
       "      <td>110034229</td>\n",
       "      <td>12159387</td>\n",
       "      <td>True</td>\n",
       "      <td>Fitzwater Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>91.353</td>\n",
       "      <td>LINESTRING (-75.17125 39.94248, -75.17137 39.9...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>109727507</td>\n",
       "      <td>110024052</td>\n",
       "      <td>193364514</td>\n",
       "      <td>True</td>\n",
       "      <td>Carpenter Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>53.208</td>\n",
       "      <td>LINESTRING (-75.17196 39.93973, -75.17134 39.9...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
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       "      <td>109728761</td>\n",
       "      <td>110274344</td>\n",
       "      <td>672312336</td>\n",
       "      <td>True</td>\n",
       "      <td>Brown Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>3923</th>\n",
       "      <td>10131978091</td>\n",
       "      <td>109893257</td>\n",
       "      <td>62153768</td>\n",
       "      <td>True</td>\n",
       "      <td>Florist Street</td>\n",
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       "    <tr>\n",
       "      <th>3924</th>\n",
       "      <td>10131978091</td>\n",
       "      <td>10131978090</td>\n",
       "      <td>1107306685</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unclassified</td>\n",
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       "      <td>LINESTRING (-75.14316 39.95428, -75.14319 39.9...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <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>0.0</td>\n",
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       "    <tr>\n",
       "      <th>3925</th>\n",
       "      <td>10132121779</td>\n",
       "      <td>10132121780</td>\n",
       "      <td>1107321326</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>3926</th>\n",
       "      <td>10132121780</td>\n",
       "      <td>10132121779</td>\n",
       "      <td>1107321326</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unclassified</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3927</th>\n",
       "      <td>10132121780</td>\n",
       "      <td>109801992</td>\n",
       "      <td>12114483</td>\n",
       "      <td>True</td>\n",
       "      <td>North Lee Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>61.339</td>\n",
       "      <td>LINESTRING (-75.13607 39.96775, -75.13623 39.9...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3928 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                u            v       osmid  oneway                   name  \\\n",
       "0       109727439    109911666   132508434    True      Bainbridge Street   \n",
       "1       109727448    109727439    12109011    True  South Colorado Street   \n",
       "2       109727448    110034229    12159387    True       Fitzwater Street   \n",
       "3       109727507    110024052   193364514    True       Carpenter Street   \n",
       "4       109728761    110274344   672312336    True           Brown Street   \n",
       "...           ...          ...         ...     ...                    ...   \n",
       "3923  10131978091    109893257    62153768    True         Florist Street   \n",
       "3924  10131978091  10131978090  1107306685   False                    NaN   \n",
       "3925  10132121779  10132121780  1107321326   False                    NaN   \n",
       "3926  10132121780  10132121779  1107321326   False                    NaN   \n",
       "3927  10132121780    109801992    12114483    True       North Lee Street   \n",
       "\n",
       "           highway reversed   length  \\\n",
       "0      residential    False   44.137   \n",
       "1      residential    False  109.484   \n",
       "2      residential    False   91.353   \n",
       "3      residential    False   53.208   \n",
       "4      residential    False   58.270   \n",
       "...            ...      ...      ...   \n",
       "3923   residential    False   29.820   \n",
       "3924  unclassified     True    8.061   \n",
       "3925  unclassified    False   36.512   \n",
       "3926  unclassified     True   36.512   \n",
       "3927   residential    False   61.339   \n",
       "\n",
       "                                               geometry lanes  ... tunnel  \\\n",
       "0     LINESTRING (-75.17104 39.94345, -75.17053 39.9...   NaN  ...    NaN   \n",
       "1     LINESTRING (-75.17125 39.94248, -75.17120 39.9...   NaN  ...    NaN   \n",
       "2     LINESTRING (-75.17125 39.94248, -75.17137 39.9...   NaN  ...    NaN   \n",
       "3     LINESTRING (-75.17196 39.93973, -75.17134 39.9...   NaN  ...    NaN   \n",
       "4     LINESTRING (-75.17317 39.96951, -75.17250 39.9...   NaN  ...    NaN   \n",
       "...                                                 ...   ...  ...    ...   \n",
       "3923  LINESTRING (-75.14316 39.95428, -75.14282 39.9...   NaN  ...    NaN   \n",
       "3924  LINESTRING (-75.14316 39.95428, -75.14319 39.9...   NaN  ...    NaN   \n",
       "3925  LINESTRING (-75.13649 39.96783, -75.13607 39.9...   NaN  ...    NaN   \n",
       "3926  LINESTRING (-75.13607 39.96775, -75.13649 39.9...   NaN  ...    NaN   \n",
       "3927  LINESTRING (-75.13607 39.96775, -75.13623 39.9...   NaN  ...    NaN   \n",
       "\n",
       "     bridge  ref width service access junction Crash_Count  crash_per_length  \\\n",
       "0       NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "1       NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "2       NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "3       NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "4       NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "...     ...  ...   ...     ...    ...      ...         ...               ...   \n",
       "3923    NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "3924    NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "3925    NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "3926    NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "3927    NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "\n",
       "      crash_index  \n",
       "0             NaN  \n",
       "1             NaN  \n",
       "2             NaN  \n",
       "3             NaN  \n",
       "4             NaN  \n",
       "...           ...  \n",
       "3923          NaN  \n",
       "3924          NaN  \n",
       "3925          NaN  \n",
       "3926          NaN  \n",
       "3927          NaN  \n",
       "\n",
       "[3928 rows x 21 columns]"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edgemerge['crash_index'] = (log - log.min()) / (log.max() - log.min())\n",
    "edgemerge"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.12 Plot a histogram of the crash index values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>u</th>\n",
       "      <th>v</th>\n",
       "      <th>osmid</th>\n",
       "      <th>oneway</th>\n",
       "      <th>name</th>\n",
       "      <th>highway</th>\n",
       "      <th>reversed</th>\n",
       "      <th>length</th>\n",
       "      <th>geometry</th>\n",
       "      <th>lanes</th>\n",
       "      <th>...</th>\n",
       "      <th>tunnel</th>\n",
       "      <th>bridge</th>\n",
       "      <th>ref</th>\n",
       "      <th>width</th>\n",
       "      <th>service</th>\n",
       "      <th>access</th>\n",
       "      <th>junction</th>\n",
       "      <th>Crash_Count</th>\n",
       "      <th>crash_per_length</th>\n",
       "      <th>crash_index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>109727439</td>\n",
       "      <td>109911666</td>\n",
       "      <td>132508434</td>\n",
       "      <td>True</td>\n",
       "      <td>Bainbridge Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>44.137</td>\n",
       "      <td>LINESTRING (-75.17104 39.94345, -75.17053 39.9...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>109727448</td>\n",
       "      <td>109727439</td>\n",
       "      <td>12109011</td>\n",
       "      <td>True</td>\n",
       "      <td>South Colorado Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>109.484</td>\n",
       "      <td>LINESTRING (-75.17125 39.94248, -75.17120 39.9...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>109727448</td>\n",
       "      <td>110034229</td>\n",
       "      <td>12159387</td>\n",
       "      <td>True</td>\n",
       "      <td>Fitzwater Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>91.353</td>\n",
       "      <td>LINESTRING (-75.17125 39.94248, -75.17137 39.9...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>109727507</td>\n",
       "      <td>110024052</td>\n",
       "      <td>193364514</td>\n",
       "      <td>True</td>\n",
       "      <td>Carpenter Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>53.208</td>\n",
       "      <td>LINESTRING (-75.17196 39.93973, -75.17134 39.9...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <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",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>109728761</td>\n",
       "      <td>110274344</td>\n",
       "      <td>672312336</td>\n",
       "      <td>True</td>\n",
       "      <td>Brown Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>58.270</td>\n",
       "      <td>LINESTRING (-75.17317 39.96951, -75.17250 39.9...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <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",
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       "    <tr>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3923</th>\n",
       "      <td>10131978091</td>\n",
       "      <td>109893257</td>\n",
       "      <td>62153768</td>\n",
       "      <td>True</td>\n",
       "      <td>Florist Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>29.820</td>\n",
       "      <td>LINESTRING (-75.14316 39.95428, -75.14282 39.9...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>3924</th>\n",
       "      <td>10131978091</td>\n",
       "      <td>10131978090</td>\n",
       "      <td>1107306685</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unclassified</td>\n",
       "      <td>True</td>\n",
       "      <td>8.061</td>\n",
       "      <td>LINESTRING (-75.14316 39.95428, -75.14319 39.9...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3925</th>\n",
       "      <td>10132121779</td>\n",
       "      <td>10132121780</td>\n",
       "      <td>1107321326</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unclassified</td>\n",
       "      <td>False</td>\n",
       "      <td>36.512</td>\n",
       "      <td>LINESTRING (-75.13649 39.96783, -75.13607 39.9...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3926</th>\n",
       "      <td>10132121780</td>\n",
       "      <td>10132121779</td>\n",
       "      <td>1107321326</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unclassified</td>\n",
       "      <td>True</td>\n",
       "      <td>36.512</td>\n",
       "      <td>LINESTRING (-75.13607 39.96775, -75.13649 39.9...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3927</th>\n",
       "      <td>10132121780</td>\n",
       "      <td>109801992</td>\n",
       "      <td>12114483</td>\n",
       "      <td>True</td>\n",
       "      <td>North Lee Street</td>\n",
       "      <td>residential</td>\n",
       "      <td>False</td>\n",
       "      <td>61.339</td>\n",
       "      <td>LINESTRING (-75.13607 39.96775, -75.13623 39.9...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3928 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                u            v       osmid  oneway                   name  \\\n",
       "0       109727439    109911666   132508434    True      Bainbridge Street   \n",
       "1       109727448    109727439    12109011    True  South Colorado Street   \n",
       "2       109727448    110034229    12159387    True       Fitzwater Street   \n",
       "3       109727507    110024052   193364514    True       Carpenter Street   \n",
       "4       109728761    110274344   672312336    True           Brown Street   \n",
       "...           ...          ...         ...     ...                    ...   \n",
       "3923  10131978091    109893257    62153768    True         Florist Street   \n",
       "3924  10131978091  10131978090  1107306685   False                    NaN   \n",
       "3925  10132121779  10132121780  1107321326   False                    NaN   \n",
       "3926  10132121780  10132121779  1107321326   False                    NaN   \n",
       "3927  10132121780    109801992    12114483    True       North Lee Street   \n",
       "\n",
       "           highway reversed   length  \\\n",
       "0      residential    False   44.137   \n",
       "1      residential    False  109.484   \n",
       "2      residential    False   91.353   \n",
       "3      residential    False   53.208   \n",
       "4      residential    False   58.270   \n",
       "...            ...      ...      ...   \n",
       "3923   residential    False   29.820   \n",
       "3924  unclassified     True    8.061   \n",
       "3925  unclassified    False   36.512   \n",
       "3926  unclassified     True   36.512   \n",
       "3927   residential    False   61.339   \n",
       "\n",
       "                                               geometry lanes  ... tunnel  \\\n",
       "0     LINESTRING (-75.17104 39.94345, -75.17053 39.9...   NaN  ...    NaN   \n",
       "1     LINESTRING (-75.17125 39.94248, -75.17120 39.9...   NaN  ...    NaN   \n",
       "2     LINESTRING (-75.17125 39.94248, -75.17137 39.9...   NaN  ...    NaN   \n",
       "3     LINESTRING (-75.17196 39.93973, -75.17134 39.9...   NaN  ...    NaN   \n",
       "4     LINESTRING (-75.17317 39.96951, -75.17250 39.9...   NaN  ...    NaN   \n",
       "...                                                 ...   ...  ...    ...   \n",
       "3923  LINESTRING (-75.14316 39.95428, -75.14282 39.9...   NaN  ...    NaN   \n",
       "3924  LINESTRING (-75.14316 39.95428, -75.14319 39.9...   NaN  ...    NaN   \n",
       "3925  LINESTRING (-75.13649 39.96783, -75.13607 39.9...   NaN  ...    NaN   \n",
       "3926  LINESTRING (-75.13607 39.96775, -75.13649 39.9...   NaN  ...    NaN   \n",
       "3927  LINESTRING (-75.13607 39.96775, -75.13623 39.9...   NaN  ...    NaN   \n",
       "\n",
       "     bridge  ref width service access junction Crash_Count  crash_per_length  \\\n",
       "0       NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "1       NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "2       NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "3       NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "4       NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "...     ...  ...   ...     ...    ...      ...         ...               ...   \n",
       "3923    NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "3924    NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "3925    NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "3926    NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "3927    NaN  NaN   NaN     NaN    NaN      NaN         0.0               0.0   \n",
       "\n",
       "      crash_index  \n",
       "0             0.0  \n",
       "1             0.0  \n",
       "2             0.0  \n",
       "3             0.0  \n",
       "4             0.0  \n",
       "...           ...  \n",
       "3923          0.0  \n",
       "3924          0.0  \n",
       "3925          0.0  \n",
       "3926          0.0  \n",
       "3927          0.0  \n",
       "\n",
       "[3928 rows x 21 columns]"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "edgemerge['crash_index'] = edgemerge['crash_index'].fillna(0)\n",
    "edgemerge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Count of Crashes')"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8,8))\n",
    "plt.style.use('seaborn-whitegrid')\n",
    "\n",
    "ax.hist(edgemerge['crash_index'],\n",
    "       bins=20,\n",
    "       color='#738678',\n",
    "       edgecolor='black')\n",
    "\n",
    "plt.title('Crash Index in Center City, Philadelphia, PA')\n",
    "plt.xlabel('Crash Index')\n",
    "plt.ylabel('Count of Crashes')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "### 1.13 Plot the street networks, colored by the crash index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
    "import folium\n",
    "import matplotlib.colors as mcolors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8,8))\n",
    "\n",
    "scaled_ax = make_axes_locatable(ax)\n",
    "cax = scaled_ax.append_axes(\"right\", size=\"10%\", pad=0)\n",
    "\n",
    "newedge = edgemerge.to_crs(epsg=3857)\n",
    "ax = newedge.plot(ax=ax, cax=cax,\n",
    "            column='crash_index',\n",
    "            cmap='summer',\n",
    "            legend=True)\n",
    "\n",
    "ax.set_title('Crash Index Map (Center City, Philadelphia, PA)', fontsize=16)\n",
    "ax.set_facecolor('black')\n",
    "ax.set_xticks([])\n",
    "ax.set_yticks([])\n",
    "ax.set_aspect(\"equal\")\n",
    "\n",
    "plt.savefig('map.png', dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.14 An interactive map of the crash index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [],
   "source": [
    "cmap = plt.get_cmap(\"summer\")\n",
    "\n",
    "def get_crash_style(features):\n",
    "    \"\"\"\n",
    "    Get a style dict.\n",
    "    \"\"\"\n",
    "    val = features[\"properties\"][\"crash_index\"]\n",
    "\n",
    "    if val is None:\n",
    "        val = 0\n",
    "\n",
    "    # Get the color as a hex string\n",
    "    rgb_color = cmap(val)\n",
    "    color = mcolors.rgb2hex(rgb_color)\n",
    "\n",
    "    # Return the style dictionary\n",
    "    return {\"color\": color, \"weight\": 1.75}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "             &lt;h3 align=&quot;center&quot; style=&quot;font-size:20px&quot;&gt;&lt;b&gt;Crash Map Index - Center City, Philadelphia, PA&lt;/b&gt;&lt;/h3&gt;\n",
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       "                    return {&quot;color&quot;: &quot;#42a066&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;54&quot;: case &quot;1235&quot;: case &quot;1607&quot;: case &quot;2934&quot;: case &quot;3626&quot;: \n",
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       "                case &quot;56&quot;: case &quot;136&quot;: case &quot;391&quot;: case &quot;790&quot;: case &quot;916&quot;: case &quot;980&quot;: case &quot;985&quot;: case &quot;1331&quot;: case &quot;1736&quot;: case &quot;1755&quot;: case &quot;2010&quot;: case &quot;2098&quot;: case &quot;2634&quot;: case &quot;2657&quot;: case &quot;2831&quot;: case &quot;2991&quot;: case &quot;3061&quot;: case &quot;3517&quot;: case &quot;3599&quot;: case &quot;3622&quot;: case &quot;3790&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#4fa766&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;58&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#118866&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;59&quot;: case &quot;150&quot;: case &quot;1273&quot;: case &quot;1431&quot;: case &quot;2364&quot;: case &quot;3801&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#57ab66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;60&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#038166&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;61&quot;: \n",
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       "                    return {&quot;color&quot;: &quot;#b0d866&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;75&quot;: case &quot;475&quot;: case &quot;1134&quot;: case &quot;2871&quot;: case &quot;3857&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#4da666&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;77&quot;: case &quot;1272&quot;: case &quot;1691&quot;: case &quot;2497&quot;: case &quot;2702&quot;: case &quot;3109&quot;: case &quot;3402&quot;: case &quot;3459&quot;: case &quot;3537&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#6ab466&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;83&quot;: case &quot;2972&quot;: case &quot;3180&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#229066&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;84&quot;: case &quot;88&quot;: case &quot;311&quot;: case &quot;314&quot;: case &quot;494&quot;: case &quot;687&quot;: case &quot;991&quot;: case &quot;994&quot;: case &quot;1087&quot;: case &quot;1219&quot;: case &quot;1236&quot;: case &quot;1367&quot;: case &quot;1421&quot;: case &quot;1922&quot;: case &quot;2092&quot;: case &quot;2170&quot;: case &quot;2185&quot;: case &quot;2312&quot;: case &quot;2313&quot;: case &quot;2626&quot;: case &quot;2720&quot;: case &quot;2889&quot;: case &quot;3043&quot;: case &quot;3064&quot;: case &quot;3674&quot;: case &quot;3676&quot;: case &quot;3683&quot;: case &quot;3706&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#369a66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;89&quot;: case &quot;151&quot;: case &quot;1003&quot;: case &quot;1507&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#66b266&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;90&quot;: case &quot;97&quot;: case &quot;382&quot;: case &quot;392&quot;: case &quot;1715&quot;: case &quot;2392&quot;: case &quot;3387&quot;: case &quot;3448&quot;: case &quot;3619&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#4aa466&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;94&quot;: case &quot;1299&quot;: case &quot;1527&quot;: case &quot;1549&quot;: case &quot;1769&quot;: case &quot;2559&quot;: case &quot;3637&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#3c9e66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;96&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#219066&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;99&quot;: case &quot;361&quot;: case &quot;938&quot;: case &quot;3545&quot;: case &quot;3796&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#68b366&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;108&quot;: case &quot;570&quot;: case &quot;2727&quot;: case &quot;3812&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#6fb766&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;110&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#76bb66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;120&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#79bc66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;123&quot;: case &quot;737&quot;: case &quot;1002&quot;: case &quot;2507&quot;: case &quot;3452&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#69b466&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;130&quot;: case &quot;304&quot;: case &quot;2506&quot;: case &quot;3076&quot;: case &quot;3712&quot;: case &quot;3795&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#239166&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;149&quot;: case &quot;3324&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#108866&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;154&quot;: case &quot;2325&quot;: case &quot;3600&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#3a9c66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;184&quot;: case &quot;303&quot;: case &quot;1021&quot;: case &quot;2552&quot;: case &quot;2891&quot;: case &quot;3638&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#5aac66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;187&quot;: case &quot;3116&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#289366&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;188&quot;: case &quot;1630&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#8bc566&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;201&quot;: case &quot;267&quot;: case &quot;1924&quot;: case &quot;2518&quot;: case &quot;2713&quot;: case &quot;2881&quot;: case &quot;2977&quot;: case &quot;3231&quot;: case &quot;3367&quot;: case &quot;3508&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#58ac66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;206&quot;: case &quot;1628&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#249266&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;207&quot;: case &quot;1313&quot;: case &quot;2731&quot;: case &quot;3331&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#60b066&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;213&quot;: case &quot;686&quot;: case &quot;3713&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#56ab66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;221&quot;: case &quot;2850&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#7ebe66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;222&quot;: case &quot;824&quot;: case &quot;893&quot;: case &quot;1828&quot;: case &quot;2490&quot;: case &quot;3060&quot;: case &quot;3785&quot;: case &quot;3786&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#41a066&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;224&quot;: case &quot;336&quot;: case &quot;3413&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#92c866&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;226&quot;: case &quot;372&quot;: case &quot;774&quot;: case &quot;1196&quot;: case &quot;1768&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#379b66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;229&quot;: case &quot;232&quot;: case &quot;1154&quot;: case &quot;1373&quot;: case &quot;2854&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#49a466&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;230&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#339966&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;244&quot;: case &quot;2085&quot;: case &quot;2912&quot;: case &quot;3352&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#3e9e66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;246&quot;: case &quot;2947&quot;: case &quot;3414&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#59ac66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;271&quot;: case &quot;307&quot;: case &quot;358&quot;: case &quot;364&quot;: case &quot;501&quot;: case &quot;505&quot;: case &quot;583&quot;: case &quot;1199&quot;: case &quot;1503&quot;: case &quot;1531&quot;: case &quot;1904&quot;: case &quot;2157&quot;: case &quot;2275&quot;: case &quot;2704&quot;: case &quot;2714&quot;: case &quot;2723&quot;: case &quot;2864&quot;: case &quot;2920&quot;: case &quot;2924&quot;: case &quot;3160&quot;: case &quot;3355&quot;: case &quot;3451&quot;: case &quot;3806&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#359a66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;274&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#abd566&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;289&quot;: case &quot;1926&quot;: case &quot;1993&quot;: case &quot;2137&quot;: case &quot;3210&quot;: case &quot;3268&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#54aa66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;295&quot;: case &quot;1419&quot;: case &quot;3346&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#72b866&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;297&quot;: case &quot;660&quot;: case &quot;1047&quot;: case &quot;1297&quot;: case &quot;2365&quot;: case &quot;2369&quot;: case &quot;3275&quot;: case &quot;3894&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#4ea666&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;298&quot;: case &quot;370&quot;: case &quot;1643&quot;: case &quot;2100&quot;: case &quot;2455&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#5eae66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;302&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#2d9666&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;306&quot;: case &quot;719&quot;: case &quot;1702&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#74ba66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;355&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#98cc66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;357&quot;: case &quot;1005&quot;: case &quot;2865&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#5bad66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;366&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#188c66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;427&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#6bb566&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;461&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#70b866&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;485&quot;: case &quot;796&quot;: case &quot;2728&quot;: case &quot;2943&quot;: case &quot;3542&quot;: case &quot;3586&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#65b266&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;496&quot;: case &quot;1065&quot;: case &quot;2458&quot;: case &quot;2721&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#46a266&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;513&quot;: case &quot;2093&quot;: case &quot;2562&quot;: case &quot;2637&quot;: case &quot;2740&quot;: case &quot;2893&quot;: case &quot;3681&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#2e9666&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;545&quot;: case &quot;856&quot;: case &quot;1218&quot;: case &quot;1520&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#62b066&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;571&quot;: case &quot;1414&quot;: case &quot;2928&quot;: case &quot;3370&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#93c966&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;648&quot;: case &quot;2389&quot;: case &quot;2942&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#3b9d66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;661&quot;: case &quot;2088&quot;: case &quot;2790&quot;: case &quot;3163&quot;: case &quot;3705&quot;: case &quot;3752&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#47a366&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;662&quot;: case &quot;1100&quot;: case &quot;1631&quot;: case &quot;1730&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#4ca666&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;717&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#44a266&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;722&quot;: case &quot;3565&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#86c266&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;757&quot;: case &quot;1674&quot;: case &quot;2297&quot;: case &quot;2641&quot;: case &quot;3212&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#4ba566&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;791&quot;: case &quot;1950&quot;: case &quot;2718&quot;: case &quot;3751&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#5dae66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;860&quot;: case &quot;2172&quot;: case &quot;2739&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#75ba66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;885&quot;: case &quot;2163&quot;: case &quot;3378&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#349a66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;937&quot;: case &quot;3505&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#83c166&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;988&quot;: case &quot;992&quot;: case &quot;1375&quot;: case &quot;2456&quot;: case &quot;3590&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#51a866&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;990&quot;: case &quot;1147&quot;: case &quot;3185&quot;: case &quot;3421&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#48a366&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1014&quot;: case &quot;3489&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#aad466&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1025&quot;: case &quot;1305&quot;: case &quot;2757&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#309866&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1067&quot;: case &quot;1179&quot;: case &quot;1358&quot;: case &quot;1528&quot;: case &quot;3362&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#5faf66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1093&quot;: case &quot;1947&quot;: case &quot;3588&quot;: case &quot;3821&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#71b866&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1139&quot;: case &quot;1611&quot;: case &quot;1996&quot;: case &quot;3632&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#3f9f66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1161&quot;: case &quot;2654&quot;: case &quot;2895&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#85c266&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1190&quot;: case &quot;3558&quot;: case &quot;3862&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#89c466&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1362&quot;: case &quot;3045&quot;: case &quot;3205&quot;: case &quot;3209&quot;: case &quot;3595&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#61b066&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1395&quot;: case &quot;1398&quot;: case &quot;1582&quot;: case &quot;1962&quot;: case &quot;2038&quot;: case &quot;2574&quot;: case &quot;2998&quot;: case &quot;3211&quot;: case &quot;3736&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#5cae66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1413&quot;: case &quot;3255&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#1d8e66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1548&quot;: case &quot;3272&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#67b366&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1793&quot;: case &quot;2504&quot;: case &quot;3070&quot;: case &quot;3169&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#269266&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1818&quot;: case &quot;2039&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#7bbd66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1829&quot;: case &quot;1908&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#73b966&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1849&quot;: case &quot;2826&quot;: case &quot;3294&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#6db666&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1861&quot;: case &quot;3620&quot;: case &quot;3679&quot;: case &quot;3708&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#389c66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1911&quot;: case &quot;2661&quot;: case &quot;3374&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#84c266&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;1948&quot;: case &quot;3369&quot;: case &quot;3466&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#2b9566&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2091&quot;: case &quot;2136&quot;: case &quot;2543&quot;: case &quot;2565&quot;: case &quot;2809&quot;: case &quot;3344&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#399c66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2094&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#178b66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2103&quot;: case &quot;2237&quot;: case &quot;2396&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#64b266&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2104&quot;: case &quot;3279&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#77bb66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2141&quot;: case &quot;3491&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#2a9466&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2201&quot;: case &quot;2879&quot;: case &quot;3026&quot;: case &quot;3077&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#40a066&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2324&quot;: case &quot;2652&quot;: case &quot;3030&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#319866&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2376&quot;: case &quot;3048&quot;: case &quot;3873&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#7dbe66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2391&quot;: case &quot;3707&quot;: case &quot;3745&quot;: case &quot;3845&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#45a266&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2407&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#6cb666&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2512&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#82c066&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2544&quot;: case &quot;2686&quot;: case &quot;3376&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#2f9766&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2547&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#148a66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2564&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#1a8c66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2602&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#a7d366&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2706&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#d5ea66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2711&quot;: case &quot;3913&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#96cb66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;2835&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#88c366&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3052&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#8fc766&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3089&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#90c866&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3254&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#1b8d66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3293&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#088466&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3303&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#95ca66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3325&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#168a66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3326&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#198c66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3350&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#1c8e66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3373&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#1f8f66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3415&quot;: case &quot;3490&quot;: case &quot;3802&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#78bc66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3427&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#9cce66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3453&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#9bcd66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3455&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#91c866&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3463&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#b6db66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3467&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#a1d066&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3539&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#80c066&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3546&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#0f8766&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3557&quot;: case &quot;3843&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#8ac466&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3808&quot;: case &quot;3811&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#7fbf66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3846&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#81c066&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3892&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#ffff66&quot;, &quot;weight&quot;: 1.75};\n",
       "                case &quot;3917&quot;: \n",
       "                    return {&quot;color&quot;: &quot;#c0e066&quot;, &quot;weight&quot;: 1.75};\n",
       "                default:\n",
       "                    return {&quot;color&quot;: &quot;#008066&quot;, &quot;weight&quot;: 1.75};\n",
       "            }\n",
       "        }\n",
       "\n",
       "        function geo_json_6a7e939af3acc49d859d92ccd2783107_onEachFeature(feature, layer) {\n",
       "            layer.on({\n",
       "            });\n",
       "        };\n",
       "        var geo_json_6a7e939af3acc49d859d92ccd2783107 = L.geoJson(null, {\n",
       "                onEachFeature: geo_json_6a7e939af3acc49d859d92ccd2783107_onEachFeature,\n",
       "            \n",
       "                style: geo_json_6a7e939af3acc49d859d92ccd2783107_styler,\n",
       "        });\n",
       "\n",
       "        function geo_json_6a7e939af3acc49d859d92ccd2783107_add (data) {\n",
       "            geo_json_6a7e939af3acc49d859d92ccd2783107\n",
       "                .addData(data)\n",
       "                .addTo(map_ce998534a4e485ce072bdfa4322cfbfe);\n",
       "        }\n",
       "            geo_json_6a7e939af3acc49d859d92ccd2783107_add({&quot;features&quot;: [{&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1710423, 39.9434539], [-75.1705316, 39.9433887]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;Bainbridge Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.171248, 39.942482], [-75.1711961, 39.9427266], [-75.1711112, 39.9431293], [-75.1710423, 39.9434539]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;1&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;South Colorado Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.171248, 39.942482], [-75.1713695, 39.9424972], [-75.1722345, 39.9426051], [-75.1723056, 39.9426142]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;2&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;Fitzwater Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.171958, 39.939735], [-75.171341, 39.939663]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;Carpenter Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.17317, 39.9695143], [-75.1724953, 39.9694292]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;4&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;Brown Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.17317, 39.9695143], [-75.1731589, 39.9695628], [-75.1730709, 39.9699467], [-75.1729581, 39.9704907], [-75.1729489, 39.9705349]], 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&quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.15891, 39.9638206], [-75.1588865, 39.9639594], [-75.1588073, 39.9642932], [-75.1586926, 39.9648005], [-75.1586738, 39.9648535]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3908&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;North 13th Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.15891, 39.9638206], [-75.1589814, 39.9639771], [-75.1592169, 39.9644422], [-75.1592765, 39.9645677], [-75.1594693, 39.9649428], [-75.1594987, 39.9650022]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3909&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;Ridge Avenue&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1653837, 39.9488535], [-75.166084, 39.9489321]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3910&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;Chancellor Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1650419, 39.948804], [-75.1645658, 39.9487451], [-75.164468, 39.948733]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3911&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;Chancellor Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1371285, 39.9600491], [-75.1370764, 39.9601848]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3912&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;North Christopher Columbus Boulevard&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1370764, 39.9601848], [-75.1373022, 39.9602349]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3913&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.5895341137823334, &quot;name&quot;: &quot;Spring Garden Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1370764, 39.9601848], [-75.1370342, 39.960286], [-75.1367958, 39.9608985], [-75.1366993, 39.961186], [-75.1366815, 39.9612342], [-75.1365611, 39.9615605], [-75.1365438, 39.9616074], [-75.1365103, 39.9616981]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3914&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;North Delaware Avenue&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1774667, 39.9428569], [-75.1775089, 39.9426625]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3915&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;South 21st Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1774667, 39.9428569], [-75.178668, 39.943004]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3916&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;Clymer Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1792048, 39.9526761], [-75.1792229, 39.9525962], [-75.1792654, 39.9524088], [-75.1793622, 39.9519595]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3917&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.7532941716863722, &quot;name&quot;: &quot;South 24th Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1523293, 39.9624635], [-75.152755, 39.962483]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3918&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;Green Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1436472, 39.9351315], [-75.143286, 39.935035]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3919&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;Christian Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1436472, 39.9351315], [-75.1438448, 39.9351843], [-75.14436, 39.935322]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3920&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;Christian Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1436472, 39.9351315], [-75.1436182, 39.9351897], [-75.1435924, 39.9352414], [-75.1435729, 39.9352979], [-75.1435854, 39.935368]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3921&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1432129, 39.9542228], [-75.1431891, 39.9542479], [-75.1431574, 39.9542815]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3922&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1431574, 39.9542815], [-75.1428161, 39.9542226]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3923&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;Florist Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1431574, 39.9542815], [-75.1431891, 39.9542479], [-75.1432129, 39.9542228]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3924&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1364868, 39.9678264], [-75.1360705, 39.9677488]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3925&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1360705, 39.9677488], [-75.1364868, 39.9678264]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3926&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;geometry&quot;: {&quot;coordinates&quot;: [[-75.1360705, 39.9677488], [-75.1362315, 39.9672531], [-75.1362444, 39.9672135]], &quot;type&quot;: &quot;LineString&quot;}, &quot;id&quot;: &quot;3927&quot;, &quot;properties&quot;: {&quot;crash_index&quot;: 0.0, &quot;name&quot;: &quot;North Lee Street&quot;}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
       "\n",
       "        \n",
       "    \n",
       "    geo_json_6a7e939af3acc49d859d92ccd2783107.bindTooltip(\n",
       "    function(layer){\n",
       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
       "    \n",
       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
       "    let fields = [&quot;name&quot;, &quot;crash_index&quot;];\n",
       "    let aliases = [&quot;name&quot;, &quot;crash_index&quot;];\n",
       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
       "        String(\n",
       "        fields.map(\n",
       "        (v,i)=&gt;\n",
       "        `&lt;tr&gt;\n",
       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
       "            \n",
       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
       "    +&#x27;&lt;/table&gt;&#x27;;\n",
       "    div.innerHTML=table;\n",
       "    \n",
       "    return div\n",
       "    }\n",
       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;legendName&quot;: &quot;Crash Index&quot;, &quot;sticky&quot;: true});\n",
       "                     \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x24a97fe1f10>"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = folium.Map(location=[39.95, -75.15], tiles='Cartodb dark_matter', zoom_start=12)\n",
    "\n",
    "vars_to_json = edgemerge[['geometry', 'name', 'crash_index']].to_json()\n",
    "\n",
    "title_html = '''\n",
    "             <h3 align=\"center\" style=\"font-size:20px\"><b>Crash Map Index - Center City, Philadelphia, PA</b></h3>\n",
    "             '''\n",
    "m.get_root().html.add_child(folium.Element(title_html))\n",
    "\n",
    "folium.GeoJson(\n",
    "    data=vars_to_json,\n",
    "    style_function=get_crash_style,\n",
    "    tooltip=folium.GeoJsonTooltip(['name', 'crash_index'],\n",
    "    legend_name=\"Crash Index\")).add_to(m)\n",
    "\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 2: Interactive web maps with Folium: Fatal Shootings in Philadelphia (2021)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [],
   "source": [
    "import carto2gpd\n",
    "from folium.plugins import HeatMap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [],
   "source": [
    "api_url = \"https://phl.carto.com/api/v2/sql\"\n",
    "\n",
    "table_name = \"shootings\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"fatal = '1' AND year = '2021'\""
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "where = f\"fatal = '1' AND year = '2021'\"\n",
    "where"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "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>geometry</th>\n",
       "      <th>cartodb_id</th>\n",
       "      <th>objectid</th>\n",
       "      <th>year</th>\n",
       "      <th>dc_key</th>\n",
       "      <th>code</th>\n",
       "      <th>date_</th>\n",
       "      <th>time</th>\n",
       "      <th>race</th>\n",
       "      <th>sex</th>\n",
       "      <th>...</th>\n",
       "      <th>offender_injured</th>\n",
       "      <th>offender_deceased</th>\n",
       "      <th>location</th>\n",
       "      <th>latino</th>\n",
       "      <th>point_x</th>\n",
       "      <th>point_y</th>\n",
       "      <th>dist</th>\n",
       "      <th>inside</th>\n",
       "      <th>outside</th>\n",
       "      <th>fatal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>POINT (-75.15125 40.01035)</td>\n",
       "      <td>2</td>\n",
       "      <td>7564240</td>\n",
       "      <td>2021</td>\n",
       "      <td>202139054233.0</td>\n",
       "      <td>111</td>\n",
       "      <td>2021-10-09T00:00:00Z</td>\n",
       "      <td>22:19:00</td>\n",
       "      <td>B</td>\n",
       "      <td>M</td>\n",
       "      <td>...</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>3700 BLOCK GERMANTOWN AVE</td>\n",
       "      <td>0</td>\n",
       "      <td>-75.151252</td>\n",
       "      <td>40.010352</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>POINT (-75.15015 40.01534)</td>\n",
       "      <td>10</td>\n",
       "      <td>7564248</td>\n",
       "      <td>2021</td>\n",
       "      <td>202139055178.0</td>\n",
       "      <td>111</td>\n",
       "      <td>2021-10-14T00:00:00Z</td>\n",
       "      <td>20:31:00</td>\n",
       "      <td>B</td>\n",
       "      <td>M</td>\n",
       "      <td>...</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>1400 BLOCK W LYCOMING ST</td>\n",
       "      <td>0</td>\n",
       "      <td>-75.150148</td>\n",
       "      <td>40.015336</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>POINT (-75.17013 39.99912)</td>\n",
       "      <td>18</td>\n",
       "      <td>7564256</td>\n",
       "      <td>2021</td>\n",
       "      <td>202139060890.0</td>\n",
       "      <td>111</td>\n",
       "      <td>2021-11-12T00:00:00Z</td>\n",
       "      <td>19:36:00</td>\n",
       "      <td>B</td>\n",
       "      <td>M</td>\n",
       "      <td>...</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>2400 BLOCK W CAMBRIA ST</td>\n",
       "      <td>0</td>\n",
       "      <td>-75.170126</td>\n",
       "      <td>39.999116</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>POINT (-75.15338 40.00097)</td>\n",
       "      <td>23</td>\n",
       "      <td>7564261</td>\n",
       "      <td>2021</td>\n",
       "      <td>202139065392.0</td>\n",
       "      <td>111</td>\n",
       "      <td>2021-12-10T00:00:00Z</td>\n",
       "      <td>17:50:00</td>\n",
       "      <td>W</td>\n",
       "      <td>M</td>\n",
       "      <td>...</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>3100 BLOCK N BROAD ST APT 3</td>\n",
       "      <td>0</td>\n",
       "      <td>-75.153384</td>\n",
       "      <td>40.000974</td>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>POINT (-75.17894 40.01088)</td>\n",
       "      <td>24</td>\n",
       "      <td>7564262</td>\n",
       "      <td>2021</td>\n",
       "      <td>202139065994.0</td>\n",
       "      <td>111</td>\n",
       "      <td>2021-12-14T00:00:00Z</td>\n",
       "      <td>11:34:00</td>\n",
       "      <td>B</td>\n",
       "      <td>M</td>\n",
       "      <td>...</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>3200 BLOCK DEFENSE TERR</td>\n",
       "      <td>0</td>\n",
       "      <td>-75.178940</td>\n",
       "      <td>40.010880</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>POINT (-75.12162 39.98876)</td>\n",
       "      <td>12114</td>\n",
       "      <td>7563368</td>\n",
       "      <td>2021</td>\n",
       "      <td>202124028200.0</td>\n",
       "      <td>111</td>\n",
       "      <td>2021-05-01T00:00:00Z</td>\n",
       "      <td>21:56:00</td>\n",
       "      <td>W</td>\n",
       "      <td>M</td>\n",
       "      <td>...</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>2000 BLOCK E SILVER ST</td>\n",
       "      <td>0</td>\n",
       "      <td>-75.121622</td>\n",
       "      <td>39.988757</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>POINT (-75.12663 39.99347)</td>\n",
       "      <td>12120</td>\n",
       "      <td>7563374</td>\n",
       "      <td>2021</td>\n",
       "      <td>202124043286.0</td>\n",
       "      <td>111</td>\n",
       "      <td>2021-06-28T00:00:00Z</td>\n",
       "      <td>16:22:00</td>\n",
       "      <td>B</td>\n",
       "      <td>F</td>\n",
       "      <td>...</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>200 BLOCK E CAMBRIA ST</td>\n",
       "      <td>0</td>\n",
       "      <td>-75.126626</td>\n",
       "      <td>39.993472</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>POINT (-75.22741 39.95059)</td>\n",
       "      <td>12125</td>\n",
       "      <td>7562705</td>\n",
       "      <td>2021</td>\n",
       "      <td>202118001818.0</td>\n",
       "      <td>111</td>\n",
       "      <td>2021-01-10T00:00:00Z</td>\n",
       "      <td>14:43:00</td>\n",
       "      <td>B</td>\n",
       "      <td>M</td>\n",
       "      <td>...</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>5200 BLOCK CEDAR AVE</td>\n",
       "      <td>0</td>\n",
       "      <td>-75.227414</td>\n",
       "      <td>39.950587</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>506</th>\n",
       "      <td>POINT (-75.22514 39.95516)</td>\n",
       "      <td>12136</td>\n",
       "      <td>7562716</td>\n",
       "      <td>2021</td>\n",
       "      <td>202118022222.0</td>\n",
       "      <td>111</td>\n",
       "      <td>2021-05-07T00:00:00Z</td>\n",
       "      <td>16:39:00</td>\n",
       "      <td>B</td>\n",
       "      <td>M</td>\n",
       "      <td>...</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>5100 BLOCK IRVING ST</td>\n",
       "      <td>0</td>\n",
       "      <td>-75.225138</td>\n",
       "      <td>39.955159</td>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>POINT (-75.19398 39.93190)</td>\n",
       "      <td>12141</td>\n",
       "      <td>7562721</td>\n",
       "      <td>2021</td>\n",
       "      <td>202117021417.0</td>\n",
       "      <td>111</td>\n",
       "      <td>2021-08-14T00:00:00Z</td>\n",
       "      <td>00:44:00</td>\n",
       "      <td>B</td>\n",
       "      <td>M</td>\n",
       "      <td>...</td>\n",
       "      <td>N</td>\n",
       "      <td>N</td>\n",
       "      <td>1700 BLOCK S HOLLYWOOD ST</td>\n",
       "      <td>0</td>\n",
       "      <td>-75.193983</td>\n",
       "      <td>39.931899</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>505 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       geometry  cartodb_id  objectid  year          dc_key  \\\n",
       "0    POINT (-75.15125 40.01035)           2   7564240  2021  202139054233.0   \n",
       "1    POINT (-75.15015 40.01534)          10   7564248  2021  202139055178.0   \n",
       "2    POINT (-75.17013 39.99912)          18   7564256  2021  202139060890.0   \n",
       "3    POINT (-75.15338 40.00097)          23   7564261  2021  202139065392.0   \n",
       "4    POINT (-75.17894 40.01088)          24   7564262  2021  202139065994.0   \n",
       "..                          ...         ...       ...   ...             ...   \n",
       "503  POINT (-75.12162 39.98876)       12114   7563368  2021  202124028200.0   \n",
       "504  POINT (-75.12663 39.99347)       12120   7563374  2021  202124043286.0   \n",
       "505  POINT (-75.22741 39.95059)       12125   7562705  2021  202118001818.0   \n",
       "506  POINT (-75.22514 39.95516)       12136   7562716  2021  202118022222.0   \n",
       "507  POINT (-75.19398 39.93190)       12141   7562721  2021  202117021417.0   \n",
       "\n",
       "    code                 date_      time race sex  ... offender_injured  \\\n",
       "0    111  2021-10-09T00:00:00Z  22:19:00    B   M  ...                N   \n",
       "1    111  2021-10-14T00:00:00Z  20:31:00    B   M  ...                N   \n",
       "2    111  2021-11-12T00:00:00Z  19:36:00    B   M  ...                N   \n",
       "3    111  2021-12-10T00:00:00Z  17:50:00    W   M  ...                N   \n",
       "4    111  2021-12-14T00:00:00Z  11:34:00    B   M  ...                N   \n",
       "..   ...                   ...       ...  ...  ..  ...              ...   \n",
       "503  111  2021-05-01T00:00:00Z  21:56:00    W   M  ...                N   \n",
       "504  111  2021-06-28T00:00:00Z  16:22:00    B   F  ...                N   \n",
       "505  111  2021-01-10T00:00:00Z  14:43:00    B   M  ...                N   \n",
       "506  111  2021-05-07T00:00:00Z  16:39:00    B   M  ...                N   \n",
       "507  111  2021-08-14T00:00:00Z  00:44:00    B   M  ...                N   \n",
       "\n",
       "    offender_deceased                     location latino    point_x  \\\n",
       "0                   N    3700 BLOCK GERMANTOWN AVE      0 -75.151252   \n",
       "1                   N     1400 BLOCK W LYCOMING ST      0 -75.150148   \n",
       "2                   N      2400 BLOCK W CAMBRIA ST      0 -75.170126   \n",
       "3                   N  3100 BLOCK N BROAD ST APT 3      0 -75.153384   \n",
       "4                   N      3200 BLOCK DEFENSE TERR      0 -75.178940   \n",
       "..                ...                          ...    ...        ...   \n",
       "503                 N       2000 BLOCK E SILVER ST      0 -75.121622   \n",
       "504                 N       200 BLOCK E CAMBRIA ST      0 -75.126626   \n",
       "505                 N         5200 BLOCK CEDAR AVE      0 -75.227414   \n",
       "506                 N         5100 BLOCK IRVING ST      0 -75.225138   \n",
       "507                 N    1700 BLOCK S HOLLYWOOD ST      0 -75.193983   \n",
       "\n",
       "       point_y  dist  inside  outside fatal  \n",
       "0    40.010352    39       0        1     1  \n",
       "1    40.015336    39       0        1     1  \n",
       "2    39.999116    39       0        1     1  \n",
       "3    40.000974    39       1        0     1  \n",
       "4    40.010880    39       0        1     1  \n",
       "..         ...   ...     ...      ...   ...  \n",
       "503  39.988757    24       0        1     1  \n",
       "504  39.993472    24       0        1     1  \n",
       "505  39.950587    18       0        1     1  \n",
       "506  39.955159    18       0        1     1  \n",
       "507  39.931899    17       0        1     1  \n",
       "\n",
       "[505 rows x 23 columns]"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fatal2021 = carto2gpd.get(api_url, table_name, where=where) # API access statement\n",
    "fatal2021 = fatal2021.loc[fatal2021.geometry.notnull()] \n",
    "fatal2021"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "fatal2021['lat'] = fatal2021.geometry.y\n",
    "fatal2021['lng'] = fatal2021.geometry.x\n",
    "\n",
    "coords = fatal2021[['lat', 'lng']].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
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       "                {&quot;blur&quot;: 15, &quot;maxZoom&quot;: 18, &quot;minOpacity&quot;: 0.5, &quot;radius&quot;: 25}\n",
       "            ).addTo(map_99b83e9233504e584f68f063db0eced5);\n",
       "        \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x24a98003250>"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from folium import plugins\n",
    "\n",
    "m = folium.Map(\n",
    "    location=[39.99, -75.13],\n",
    "    tiles='Cartodb dark_matter',\n",
    "    zoom_start=11)\n",
    "\n",
    "title_html = '''\n",
    "             <h3 align=\"center\" style=\"font-size:20px\"><b>Fatal Shootings - Philadelphia, PA (2021)</b></h3>\n",
    "             '''\n",
    "m.get_root().html.add_child(folium.Element(title_html))\n",
    "\n",
    "\n",
    "HeatMap(coords).add_to(m)\n",
    "\n",
    "m"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}