Get Distances.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import herepy\n",
    "from geopy.distance import geodesic\n",
    "import json\n",
    "import numpy as np\n",
    "\n",
    "geocoderApi = herepy.GeocoderApi('qXRCzE6fLQqNBe5NsF8f', 'tnWCtQU3V1fAWBpU9BiWeg')\n",
    "\n",
    "# response = geocoderApi.free_form('54 Ahad haram tel aviv')\n",
    "# response = json.loads(str(response))\n",
    "# print(response['Response'][\"View\"][0]['Result'][0]['Location']['DisplayPosition'])\n",
    "\n",
    "# i = 0\n",
    "# for place in places:\n",
    "#     response = geocoderApi.free_form(place)\n",
    "#     response = json.loads(str(response))\n",
    "\n",
    "#     print(i, response['Response'][\"View\"][0]['Result'][0]['Location']['DisplayPosition'])\n",
    "\n",
    "crimes = pd.read_csv(\"combined_long_lat.csv\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "crime_records = []\n",
    "for index, row in crimes.iterrows():\n",
    "    if str(row['Latitude']) != \"nan\" and str(row['Longitude']) !=\"nan\":\n",
    "        crime_coords = (row['Latitude'], row['Longitude'])\n",
    "        crime_records.append(crime_coords)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "def count_crimes(loc_coords, crime_locations, distMark):\n",
    "    count = 0\n",
    "    #print(loc_coords)\n",
    "    for item in crime_locations:\n",
    "        print(item)\n",
    "        \n",
    "        dist = geodesic(item, loc_coords)\n",
    "        if dist <distMark:\n",
    "            count+=1\n",
    "            \n",
    "    return count\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getCrimesFromAddress(address, distance):\n",
    "    geocoderApi = herepy.GeocoderApi('qXRCzE6fLQqNBe5NsF8f', 'tnWCtQU3V1fAWBpU9BiWeg')\n",
    "    response = geocoderApi.free_form(address)\n",
    "    response = json.loads(str(response))\n",
    "    response = (response['Response'][\"View\"][0]['Result'][0]['Location']['DisplayPosition'])\n",
    "    response = (float(response['Latitude']), float(response['Longitude']))\n",
    "    #print(response)\n",
    "    print(count_crimes(response, crime_records, distance))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "(31.444699, 35.73130620000001)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "(31.88743, 35.045320000000004)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "(32.655859, 35.115152)\n",
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      "(32.610063000000004, 35.142672999999995)\n",
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      "(31.507207, 34.645725)\n",
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      "(31.497378, 34.705165)\n",
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      "(33.072609, 35.145945000000005)\n",
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      "(33.0085361, 35.0980514)\n",
      "(33.028689, 35.109232)\n",
      "(32.991149, 35.100031)\n",
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      "(32.457992, 35.026573)\n",
      "(32.404959000000005, 34.992168)\n",
      "(32.4438777, 35.0109759)\n",
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      "(32.345607, 34.916426)\n",
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      "(32.380196000000005, 34.909945)\n",
      "(32.38717800000001, 34.91291)\n",
      "(32.376223, 34.873765)\n",
      "(32.381729, 34.863507)\n",
      "(32.391837, 34.900989)\n",
      "(32.396745, 34.93297800000001)\n",
      "(32.392148, 34.929447)\n",
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      "(32.386082, 34.874078000000004)\n",
      "(32.397995, 34.911931)\n",
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      "(32.369215999999994, 34.993129)\n",
      "(32.387701, 34.990826)\n",
      "(32.422891, 35.035764)\n",
      "(32.4045594, 35.047090999999995)\n",
      "(32.351831, 35.018542)\n",
      "(32.39693, 35.035914)\n",
      "(32.378035, 34.983146000000005)\n",
      "(32.4130473, 35.038284600000004)\n",
      "(32.395216, 35.011790000000005)\n",
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      "(32.321039, 34.98343)\n",
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      "(32.333714, 35.013729)\n",
      "(32.349487, 34.996245)\n",
      "(32.360437, 34.923338)\n",
      "(32.33280300000001, 34.947693)\n",
      "(32.325311, 35.006692)\n",
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      "(32.364928000000006, 34.86956)\n",
      "(32.360194, 34.872388)\n",
      "(32.35763, 34.875845)\n",
      "(32.321740000000005, 34.900715000000005)\n",
      "(32.349653, 34.898945)\n",
      "(32.3604, 34.861819)\n",
      "(32.353857, 34.900709)\n",
      "(32.344902000000005, 34.899038)\n",
      "(32.7927745, 34.9853634)\n",
      "(32.356305, 34.904256)\n",
      "(32.314656, 34.896792)\n",
      "(32.321458, 34.853196000000004)\n",
      "(32.360122, 34.858542)\n",
      "(32.354794, 34.856814)\n",
      "(33.090788, 35.213638)\n",
      "(33.078842, 35.20950999999999)\n",
      "(33.078842, 35.20950999999999)\n",
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      "(33.068013, 35.18608)\n",
      "(33.08883400000001, 35.228839)\n",
      "(31.787701, 35.263531)\n",
      "(31.763582, 35.257721999999994)\n",
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      "(31.727104, 35.172569)\n",
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      "(31.5077257, 34.63033720000001)\n",
      "(31.5016951, 34.4668445)\n",
      "(31.6214381, 34.6192702)\n",
      "(31.6214381, 34.6192702)\n",
      "(31.6073175, 34.5431666)\n",
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      "(31.47268, 34.497675)\n",
      "(31.4144482, 34.5417619)\n",
      "(31.5077257, 34.63033720000001)\n",
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      "(31.766667, 34.716667)\n",
      "(31.830759000000004, 34.7354031)\n",
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      "(31.737127, 34.725570000000005)\n",
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      "(31.6214381, 34.6192702)\n",
      "(31.228281, 34.284559)\n",
      "(31.6214381, 34.6192702)\n",
      "(31.228281, 34.284559)\n",
      "(31.2068084, 34.4641848)\n",
      "(31.3138394, 34.57498820000001)\n",
      "(31.2411191, 34.804714000000004)\n",
      "(31.444699, 34.608784)\n",
      "(31.790235, 34.759291)\n",
      "(31.324471000000006, 34.679236)\n",
      "(31.2698223, 34.803243200000004)\n",
      "(31.2582386, 34.96719829999999)\n",
      "(31.3927762, 34.8403408)\n",
      "(31.6644157, 34.5655538)\n",
      "(31.6214381, 34.6192702)\n",
      "(31.5077257, 34.63033720000001)\n",
      "(31.4144482, 34.5417619)\n",
      "(31.374545, 34.398992)\n",
      "(31.326275, 34.612069)\n",
      "(31.636089, 34.554534999999994)\n",
      "(31.8602669, 34.7851264)\n",
      "(31.8522341, 34.9502489)\n",
      "(31.730202, 34.746996)\n",
      "(31.3138394, 34.57498820000001)\n",
      "(31.804381, 34.655314000000004)\n",
      "(31.804381, 34.655314000000004)\n",
      "(31.5077257, 34.63033720000001)\n",
      "(32.395618, 34.868194)\n",
      "(31.8123014, 34.777019200000005)\n",
      "(31.237170000000006, 34.426444000000004)\n",
      "(31.3927762, 34.8403408)\n",
      "(31.252973, 34.791462)\n",
      "(31.3138394, 34.57498820000001)\n",
      "(31.9172636, 34.7464552)\n",
      "(31.9730015, 34.7925013)\n",
      "(31.856, 34.761)\n",
      "(31.237183, 34.722871999999995)\n",
      "(31.203909000000003, 34.533359000000004)\n",
      "(31.2068084, 34.4641848)\n",
      "(31.397604, 34.593821000000005)\n",
      "(31.636089, 34.554534999999994)\n",
      "(31.777369, 35.297955)\n",
      "(32.030995000000004, 34.801001)\n",
      "(31.326828000000006, 34.697497)\n",
      "(31.423196, 34.595254)\n",
      "(31.423196, 34.595254)\n",
      "(31.211594, 34.335692)\n",
      "(31.611148, 34.768459)\n",
      "(31.611148, 34.768459)\n",
      "(31.245719, 34.377101)\n",
      "(31.790235, 34.759291)\n",
      "(31.772744, 34.719366)\n",
      "(31.248463, 34.413404)\n",
      "(32.0852999, 34.7817676)\n",
      "(31.675669, 34.612311)\n",
      "(31.637735, 34.610074)\n",
      "94\n"
     ]
    }
   ],
   "source": [
    "getCrimesFromAddress('10 sheinkin st tel aviv', 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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