second_assignment_2(1).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1> Segmenting and clustering neighbourhoods in Toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> Importing required libraries and printing html code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import requests\n",
    "import numpy as np\n",
    "website_url = requests.get(\"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\").text\n",
    "from bs4 import BeautifulSoup\n",
    "soup = BeautifulSoup(website_url, 'lxml')\n",
    "#print(soup.prettify)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_table = soup.find('table',{'class': \"wikitable sortable\"})\n",
    "#creating lists for each of the columns\n",
    "A=[]\n",
    "B=[]\n",
    "C=[]\n",
    "\n",
    "for row in my_table.findAll(\"tr\"):\n",
    "    cells = row.findAll(\"td\")\n",
    "    if len(cells)==3: #Only extract table body not heading\n",
    "        A.append(cells[0].find(text=True))\n",
    "        B.append(cells[1].find(text=True))\n",
    "        C.append(cells[2].find(text=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.DataFrame(A,columns=['PostCode'])\n",
    "df['Borough']=B\n",
    "df['Neighbourhood']=C\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3> drop columns where Borough = 'Not Assigned'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=df[df.Borough != 'Not assigned']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.Neighbourhood[df.Neighbourhood == \"Not assigned\"] = df.Borough[df.Neighbourhood == \"Not assigned\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "def neighbourhood_list(grouped):    \n",
    "    return ', '.join(sorted(grouped['Neighbourhood'].tolist()))\n",
    "grp = df.groupby(['PostCode', 'Borough'])\n",
    "new_df = grp.apply(neighbourhood_list).reset_index(name='Neighbourhood')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "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>PostCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Port Union, Rouge Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood\\n, Morningside, West Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Scarborough Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M1K</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>East Birchmount Park\\n, Ionview, Kennedy Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M1L</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M1M</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cliffcrest, Cliffside, Scarborough Village West\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M1N</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Birch Cliff, Cliffside West\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>M1P</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Dorset Park, Scarborough Town Centre, Wexford ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>M1R</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Maryvale, Wexford</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>M1S</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Agincourt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>M1T</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Clarks Corners\\n, Sullivan\\n, Tam O'Shanter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>M1V</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Agincourt North, L'Amoreaux East\\n, Milliken, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>M1W</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>L'Amoreaux West\\n, Steeles West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>M1X</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Upper Rouge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>M2H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Hillcrest Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>M2J</td>\n",
       "      <td>North York</td>\n",
       "      <td>Fairview\\n, Henry Farm, Oriole\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>M2K</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bayview Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>M2L</td>\n",
       "      <td>North York</td>\n",
       "      <td>Silver Hills, York Mills</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>M2M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Newtonbrook, Willowdale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>M2N</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale South\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>M2P</td>\n",
       "      <td>North York</td>\n",
       "      <td>York Mills West\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>M2R</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>M3B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills North\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>M3C</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills South\\n, Flemingdon Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>M3H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bathurst Manor, Downsview North\\n, Wilson Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>M3J</td>\n",
       "      <td>North York</td>\n",
       "      <td>Northwood Park, York University</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>M6C</td>\n",
       "      <td>York</td>\n",
       "      <td>Humewood-Cedarvale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>M6E</td>\n",
       "      <td>York</td>\n",
       "      <td>Caledonia-Fairbanks\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>M6G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Christie\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>M6H</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Dovercourt Village, Dufferin\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>M6J</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>M6K</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Brockton\\n, Exhibition Place, Parkdale Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>M6L</td>\n",
       "      <td>North York</td>\n",
       "      <td>Maple Leaf Park, North Park\\n, Upwood Park\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>M6M</td>\n",
       "      <td>York</td>\n",
       "      <td>Del Ray\\n, Keelesdale, Mount Dennis, Silverthorn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>M6N</td>\n",
       "      <td>York</td>\n",
       "      <td>Runnymede\\n, The Junction North\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>M6P</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>High Park, The Junction South\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>M6R</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>M6S</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>Not assigned\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>M7R</td>\n",
       "      <td>Mississauga</td>\n",
       "      <td>Canada Post Gateway Processing Centre\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>M7Y</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Business reply mail Processing Centre969 Easte...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>M8V</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Humber Bay Shores\\n, Mimico South\\n, New Toronto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>M8W</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Alderwood, Long Branch</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>M8X</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Montgomery Road\\n, Old Mill North\\n, The Kingsway</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>M8Y</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Humber Bay, King's Mill Park, Kingsway Park So...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Kingsway Park South West\\n, Mimico NW, Royal Y...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>M9A</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Islington Avenue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>M9B</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Cloverdale\\n, Islington, Martin Grove\\n, Princ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>M9C</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Bloordale Gardens\\n, Eringate\\n, Markland Wood...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>M9L</td>\n",
       "      <td>North York</td>\n",
       "      <td>Humber Summit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>M9M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Emery, Humberlea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>M9N</td>\n",
       "      <td>York</td>\n",
       "      <td>Weston</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>M9P</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Westmount</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>M9R</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Kingsview Village, Martin Grove Gardens\\n, Ric...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>M9V</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Albion Gardens\\n, Beaumond Heights, Humbergate...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>M9W</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Northwest</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    PostCode           Borough  \\\n",
       "0        M1B       Scarborough   \n",
       "1        M1C       Scarborough   \n",
       "2        M1E       Scarborough   \n",
       "3        M1G       Scarborough   \n",
       "4        M1H       Scarborough   \n",
       "5        M1J       Scarborough   \n",
       "6        M1K       Scarborough   \n",
       "7        M1L       Scarborough   \n",
       "8        M1M       Scarborough   \n",
       "9        M1N       Scarborough   \n",
       "10       M1P       Scarborough   \n",
       "11       M1R       Scarborough   \n",
       "12       M1S       Scarborough   \n",
       "13       M1T       Scarborough   \n",
       "14       M1V       Scarborough   \n",
       "15       M1W       Scarborough   \n",
       "16       M1X       Scarborough   \n",
       "17       M2H        North York   \n",
       "18       M2J        North York   \n",
       "19       M2K        North York   \n",
       "20       M2L        North York   \n",
       "21       M2M        North York   \n",
       "22       M2N        North York   \n",
       "23       M2P        North York   \n",
       "24       M2R        North York   \n",
       "25       M3A        North York   \n",
       "26       M3B        North York   \n",
       "27       M3C        North York   \n",
       "28       M3H        North York   \n",
       "29       M3J        North York   \n",
       "..       ...               ...   \n",
       "73       M6C              York   \n",
       "74       M6E              York   \n",
       "75       M6G  Downtown Toronto   \n",
       "76       M6H      West Toronto   \n",
       "77       M6J      West Toronto   \n",
       "78       M6K      West Toronto   \n",
       "79       M6L        North York   \n",
       "80       M6M              York   \n",
       "81       M6N              York   \n",
       "82       M6P      West Toronto   \n",
       "83       M6R      West Toronto   \n",
       "84       M6S      West Toronto   \n",
       "85       M7A      Queen's Park   \n",
       "86       M7R       Mississauga   \n",
       "87       M7Y      East Toronto   \n",
       "88       M8V         Etobicoke   \n",
       "89       M8W         Etobicoke   \n",
       "90       M8X         Etobicoke   \n",
       "91       M8Y         Etobicoke   \n",
       "92       M8Z         Etobicoke   \n",
       "93       M9A         Etobicoke   \n",
       "94       M9B         Etobicoke   \n",
       "95       M9C         Etobicoke   \n",
       "96       M9L        North York   \n",
       "97       M9M        North York   \n",
       "98       M9N              York   \n",
       "99       M9P         Etobicoke   \n",
       "100      M9R         Etobicoke   \n",
       "101      M9V         Etobicoke   \n",
       "102      M9W         Etobicoke   \n",
       "\n",
       "                                         Neighbourhood  \n",
       "0                                       Malvern, Rouge  \n",
       "1               Highland Creek, Port Union, Rouge Hill  \n",
       "2                  Guildwood\\n, Morningside, West Hill  \n",
       "3                                               Woburn  \n",
       "4                                            Cedarbrae  \n",
       "5                                  Scarborough Village  \n",
       "6        East Birchmount Park\\n, Ionview, Kennedy Park  \n",
       "7                      Clairlea, Golden Mile, Oakridge  \n",
       "8    Cliffcrest, Cliffside, Scarborough Village West\\n  \n",
       "9                        Birch Cliff, Cliffside West\\n  \n",
       "10   Dorset Park, Scarborough Town Centre, Wexford ...  \n",
       "11                                   Maryvale, Wexford  \n",
       "12                                           Agincourt  \n",
       "13         Clarks Corners\\n, Sullivan\\n, Tam O'Shanter  \n",
       "14   Agincourt North, L'Amoreaux East\\n, Milliken, ...  \n",
       "15                     L'Amoreaux West\\n, Steeles West  \n",
       "16                                         Upper Rouge  \n",
       "17                                   Hillcrest Village  \n",
       "18                    Fairview\\n, Henry Farm, Oriole\\n  \n",
       "19                                     Bayview Village  \n",
       "20                            Silver Hills, York Mills  \n",
       "21                             Newtonbrook, Willowdale  \n",
       "22                                  Willowdale South\\n  \n",
       "23                                   York Mills West\\n  \n",
       "24                                     Willowdale West  \n",
       "25                                           Parkwoods  \n",
       "26                                   Don Mills North\\n  \n",
       "27                  Don Mills South\\n, Flemingdon Park  \n",
       "28   Bathurst Manor, Downsview North\\n, Wilson Heights  \n",
       "29                     Northwood Park, York University  \n",
       "..                                                 ...  \n",
       "73                                  Humewood-Cedarvale  \n",
       "74                               Caledonia-Fairbanks\\n  \n",
       "75                                          Christie\\n  \n",
       "76                      Dovercourt Village, Dufferin\\n  \n",
       "77                            Little Portugal, Trinity  \n",
       "78      Brockton\\n, Exhibition Place, Parkdale Village  \n",
       "79        Maple Leaf Park, North Park\\n, Upwood Park\\n  \n",
       "80    Del Ray\\n, Keelesdale, Mount Dennis, Silverthorn  \n",
       "81                   Runnymede\\n, The Junction North\\n  \n",
       "82                     High Park, The Junction South\\n  \n",
       "83                              Parkdale, Roncesvalles  \n",
       "84                                  Runnymede, Swansea  \n",
       "85                                      Not assigned\\n  \n",
       "86             Canada Post Gateway Processing Centre\\n  \n",
       "87   Business reply mail Processing Centre969 Easte...  \n",
       "88    Humber Bay Shores\\n, Mimico South\\n, New Toronto  \n",
       "89                              Alderwood, Long Branch  \n",
       "90   Montgomery Road\\n, Old Mill North\\n, The Kingsway  \n",
       "91   Humber Bay, King's Mill Park, Kingsway Park So...  \n",
       "92   Kingsway Park South West\\n, Mimico NW, Royal Y...  \n",
       "93                                    Islington Avenue  \n",
       "94   Cloverdale\\n, Islington, Martin Grove\\n, Princ...  \n",
       "95   Bloordale Gardens\\n, Eringate\\n, Markland Wood...  \n",
       "96                                       Humber Summit  \n",
       "97                                    Emery, Humberlea  \n",
       "98                                              Weston  \n",
       "99                                           Westmount  \n",
       "100  Kingsview Village, Martin Grove Gardens\\n, Ric...  \n",
       "101  Albion Gardens\\n, Beaumond Heights, Humbergate...  \n",
       "102                                          Northwest  \n",
       "\n",
       "[103 rows x 3 columns]"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Using Geocoder csv file to create the Toronto dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_geo=pd.read_csv('C:\\\\Users\\\\HimaniVerma\\\\Downloads\\\\Geospatial_Coordinates.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_geo = df_geo.rename(columns={'Postal Code': 'PostCode'})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_geo.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_geo.drop_duplicates(subset='PostCode', keep=\"last\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PostCode      object\n",
       "Latitude     float64\n",
       "Longitude    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_geo.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_df = pd.merge(new_df,df_geo,how='inner', on='PostCode')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th {\n",
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       "      <th></th>\n",
       "      <th>PostCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
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       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Port Union, Rouge Hill</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
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       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
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       "      <td>M1G</td>\n",
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       "      <td>Woburn</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
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       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
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       "      <td>43.773136</td>\n",
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       "      <th>5</th>\n",
       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
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       "      <td>43.744734</td>\n",
       "      <td>-79.239476</td>\n",
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       "      <th>6</th>\n",
       "      <td>M1K</td>\n",
       "      <td>Scarborough</td>\n",
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       "      <td>43.727929</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M1L</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>43.711112</td>\n",
       "      <td>-79.284577</td>\n",
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       "      <td>M1M</td>\n",
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       "      <td>43.716316</td>\n",
       "      <td>-79.239476</td>\n",
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       "      <td>M1N</td>\n",
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       "      <td>Birch Cliff, Cliffside West\\n</td>\n",
       "      <td>43.692657</td>\n",
       "      <td>-79.264848</td>\n",
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       "  PostCode      Borough                                      Neighbourhood  \\\n",
       "0      M1B  Scarborough                                     Malvern, Rouge   \n",
       "1      M1C  Scarborough             Highland Creek, Port Union, Rouge Hill   \n",
       "2      M1E  Scarborough                Guildwood\\n, Morningside, West Hill   \n",
       "3      M1G  Scarborough                                             Woburn   \n",
       "4      M1H  Scarborough                                          Cedarbrae   \n",
       "5      M1J  Scarborough                                Scarborough Village   \n",
       "6      M1K  Scarborough      East Birchmount Park\\n, Ionview, Kennedy Park   \n",
       "7      M1L  Scarborough                    Clairlea, Golden Mile, Oakridge   \n",
       "8      M1M  Scarborough  Cliffcrest, Cliffside, Scarborough Village West\\n   \n",
       "9      M1N  Scarborough                      Birch Cliff, Cliffside West\\n   \n",
       "\n",
       "    Latitude  Longitude  \n",
       "0  43.806686 -79.194353  \n",
       "1  43.784535 -79.160497  \n",
       "2  43.763573 -79.188711  \n",
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       "8  43.716316 -79.239476  \n",
       "9  43.692657 -79.264848  "
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Explore and cluster the neighborhoods in Toronto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Importing Required Libraries\n",
    "\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "import json # library to handle JSON files\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Solving environment: ...working... done\n",
      "\n",
      "# All requested packages already installed.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!conda install -c conda-forge python=3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Solving environment: ...working... done\n",
      "\n",
      "## Package Plan ##\n",
      "\n",
      "  environment location: C:\\Users\\HimaniVerma\\Anaconda3.2\n",
      "\n",
      "  added / updated specs: \n",
      "    - geopy\n",
      "\n",
      "\n",
      "The following packages will be downloaded:\n",
      "\n",
      "    package                    |            build\n",
      "    ---------------------------|-----------------\n",
      "    geographiclib-1.49         |             py_0          32 KB  conda-forge\n",
      "    geopy-1.18.1               |             py_0          51 KB  conda-forge\n",
      "    ------------------------------------------------------------\n",
      "                                           Total:          84 KB\n",
      "\n",
      "The following NEW packages will be INSTALLED:\n",
      "\n",
      "    geographiclib: 1.49-py_0   conda-forge\n",
      "    geopy:         1.18.1-py_0 conda-forge\n",
      "\n",
      "\n",
      "Downloading and Extracting Packages\n",
      "Preparing transaction: ...working... done\n",
      "Verifying transaction: ...working... done\n",
      "Executing transaction: ...working... done\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "geographiclib-1.49   | 32 KB     |            |   0% \n",
      "geographiclib-1.49   | 32 KB     | ###7       |  37% \n",
      "geographiclib-1.49   | 32 KB     | ########## | 100% \n",
      "\n",
      "geopy-1.18.1         | 51 KB     |            |   0% \n",
      "geopy-1.18.1         | 51 KB     | ########## | 100% \n"
     ]
    }
   ],
   "source": [
    "!conda install -c conda-forge geopy --yes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Libraries imported.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "usage: conda [-h] [-V] command ...\n",
      "conda: error: unrecognized arguments: # uncomment this line if you haven't completed the Foursquare API lab\n"
     ]
    }
   ],
   "source": [
    "from geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n",
    "\n",
    "import requests # library to handle requests\n",
    "from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n",
    "\n",
    "# Matplotlib and associated plotting modules\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "\n",
    "# import k-means from clustering stage\n",
    "from sklearn.cluster import KMeans\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Solving environment: ...working... done\n",
      "\n",
      "# All requested packages already installed.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!conda install -c conda-forge folium=0.5.0 --yes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\HimaniVerma\\Anaconda3.2\\lib\\site-packages\\ipykernel_launcher.py:3: DeprecationWarning: Using Nominatim with the default \"geopy/1.18.1\" `user_agent` is strongly discouraged, as it violates Nominatim's ToS https://operations.osmfoundation.org/policies/nominatim/ and may possibly cause 403 and 429 HTTP errors. Please specify a custom `user_agent` with `Nominatim(user_agent=\"my-application\")` or by overriding the default `user_agent`: `geopy.geocoders.options.default_user_agent = \"my-application\"`. In geopy 2.0 this will become an exception.\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Toronto City are 43.653963, -79.387207.\n"
     ]
    }
   ],
   "source": [
    "address = 'Toronto, TO'\n",
    "\n",
    "geolocator = Nominatim()\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of Toronto City are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
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</script>\" 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 0x29b8a5cf320>"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of Toronto using latitude and longitude values\n",
    "map_toronto = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighborhood in zip(toronto_df['Latitude'], toronto_df['Longitude'], toronto_df['Borough'], toronto_df['Neighbourhood']):\n",
    "    label = '{}, {}'.format(neighborhood, borough)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_toronto)  \n",
    "    \n",
    "map_toronto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Malvern, Rouge'"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_df.loc[0, 'Neighbourhood']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude and longitude values of Malvern, Rouge are 43.806686299999996, -79.19435340000001.\n"
     ]
    }
   ],
   "source": [
    "neighborhood_latitude = toronto_df.loc[0, 'Latitude'] # neighborhood latitude value\n",
    "neighborhood_longitude = toronto_df.loc[0, 'Longitude'] # neighborhood longitude value\n",
    "\n",
    "neighborhood_name = toronto_df.loc[0, 'Neighbourhood'] # neighborhood name\n",
    "\n",
    "print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, \n",
    "                                                               neighborhood_latitude, \n",
    "                                                               neighborhood_longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: NQJOE1W124KDOATT0TTHPOZWAP0UBXDDPPMGRUNVJSR3FMPD\n",
      "CLIENT_SECRET:3OIKRWWDUQD1ADAEUCVFTI1ZADE0R3IJBCLUM2LDFFSIPYIN\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = 'NQJOE1W124KDOATT0TTHPOZWAP0UBXDDPPMGRUNVJSR3FMPD' # your Foursquare ID\n",
    "CLIENT_SECRET = '3OIKRWWDUQD1ADAEUCVFTI1ZADE0R3IJBCLUM2LDFFSIPYIN' # your Foursquare Secret\n",
    "VERSION = '20180605' # Foursquare API version\n",
    "\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)\n",
    "\n",
    "radius=500\n",
    "LIMIT=100\n",
    "url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "    CLIENT_ID, \n",
    "    CLIENT_SECRET, \n",
    "    VERSION, \n",
    "    neighborhood_latitude, \n",
    "    neighborhood_longitude, \n",
    "    radius, \n",
    "    LIMIT)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5c2564404c1f677d443d7a1a'},\n",
       " 'response': {'warning': {'text': \"There aren't a lot of results near you. Try something more general, reset your filters, or expand the search area.\"},\n",
       "  'headerLocation': 'Malvern',\n",
       "  'headerFullLocation': 'Malvern, Toronto',\n",
       "  'headerLocationGranularity': 'neighborhood',\n",
       "  'totalResults': 2,\n",
       "  'suggestedBounds': {'ne': {'lat': 43.8111863045, 'lng': -79.18812958073042},\n",
       "   'sw': {'lat': 43.80218629549999, 'lng': -79.2005772192696}},\n",
       "  'groups': [{'type': 'Recommended Places',\n",
       "    'name': 'recommended',\n",
       "    'items': [{'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4bb6b9446edc76b0d771311c',\n",
       "       'name': \"Wendy's\",\n",
       "       'location': {'crossStreet': 'Morningside & Sheppard',\n",
       "        'lat': 43.80744841934756,\n",
       "        'lng': -79.19905558052072,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.80744841934756,\n",
       "          'lng': -79.19905558052072}],\n",
       "        'distance': 387,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Toronto ON', 'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d16e941735',\n",
       "         'name': 'Fast Food Restaurant',\n",
       "         'pluralName': 'Fast Food Restaurants',\n",
       "         'shortName': 'Fast Food',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/fastfood_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4bb6b9446edc76b0d771311c-0'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '5539e7d2498edaf4b02673ca',\n",
       "       'name': 'Interprovincial Group',\n",
       "       'location': {'address': '1315 Morningside Avenue',\n",
       "        'lat': 43.8056297,\n",
       "        'lng': -79.2003784,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.8056297,\n",
       "          'lng': -79.2003784}],\n",
       "        'distance': 498,\n",
       "        'postalCode': 'M1B 3C5',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Scarborough',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['1315 Morningside Avenue',\n",
       "         'Scarborough ON M1B 3C5',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '52f2ab2ebcbc57f1066b8b28',\n",
       "         'name': 'Print Shop',\n",
       "         'pluralName': 'Print Shops',\n",
       "         'shortName': 'Print Shop',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/default_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-5539e7d2498edaf4b02673ca-1'}]}]}}"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function that extracts the category of the venue\n",
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "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>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Wendy's</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>43.807448</td>\n",
       "      <td>-79.199056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Interprovincial Group</td>\n",
       "      <td>Print Shop</td>\n",
       "      <td>43.805630</td>\n",
       "      <td>-79.200378</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    name            categories        lat        lng\n",
       "0                Wendy's  Fast Food Restaurant  43.807448 -79.199056\n",
       "1  Interprovincial Group            Print Shop  43.805630 -79.200378"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues = results['response']['groups'][0]['items']\n",
    "    \n",
    "nearby_venues = json_normalize(venues) # flatten JSON\n",
    "\n",
    "# filter columns\n",
    "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
    "nearby_venues =nearby_venues.loc[:, filtered_columns]\n",
    "\n",
    "# filter the category for each row\n",
    "nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean columns\n",
    "nearby_venues.columns = [col.split(\".\")[-1] for col in nearby_venues.columns]\n",
    "\n",
    "nearby_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 venues were returned by Foursquare.\n"
     ]
    }
   ],
   "source": [
    "print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighbourhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Malvern, Rouge\n",
      "Highland Creek, Port Union, Rouge Hill\n",
      "Guildwood\n",
      ", Morningside, West Hill\n",
      "Woburn\n",
      "Cedarbrae\n",
      "Scarborough Village\n",
      "East Birchmount Park\n",
      ", Ionview, Kennedy Park\n",
      "Clairlea, Golden Mile, Oakridge\n",
      "Cliffcrest, Cliffside, Scarborough Village West\n",
      "\n",
      "Birch Cliff, Cliffside West\n",
      "\n",
      "Dorset Park, Scarborough Town Centre, Wexford Heights\n",
      "Maryvale, Wexford\n",
      "Agincourt\n",
      "Clarks Corners\n",
      ", Sullivan\n",
      ", Tam O'Shanter\n",
      "Agincourt North, L'Amoreaux East\n",
      ", Milliken, Steeles East\n",
      "\n",
      "L'Amoreaux West\n",
      ", Steeles West\n",
      "Upper Rouge\n",
      "Hillcrest Village\n",
      "Fairview\n",
      ", Henry Farm, Oriole\n",
      "\n",
      "Bayview Village\n",
      "Silver Hills, York Mills\n",
      "Newtonbrook, Willowdale\n",
      "Willowdale South\n",
      "\n",
      "York Mills West\n",
      "\n",
      "Willowdale West\n",
      "Parkwoods\n",
      "Don Mills North\n",
      "\n",
      "Don Mills South\n",
      ", Flemingdon Park\n",
      "Bathurst Manor, Downsview North\n",
      ", Wilson Heights\n",
      "Northwood Park, York University\n",
      "CFB Toronto, Downsview East\n",
      "\n",
      "Downsview West\n",
      "Downsview Central\n",
      "\n",
      "Downsview Northwest\n",
      "\n",
      "Victoria Village\n",
      "Parkview Hill, Woodbine Gardens\n",
      "Woodbine Heights\n",
      "The Beaches\n",
      "Leaside\n",
      "Thorncliffe Park\n",
      "East Toronto\n",
      "Riverdale, The Danforth West\n",
      "\n",
      "India Bazaar, The Beaches West\n",
      "\n",
      "Studio District\n",
      "\n",
      "Lawrence Park\n",
      "Davisville North\n",
      "\n",
      "North Toronto West\n",
      "\n",
      "Davisville\n",
      "\n",
      "Moore Park, Summerhill East\n",
      "\n",
      "Deer Park, Forest Hill SE\n",
      ", Rathnelly, South Hill, Summerhill West\n",
      "\n",
      "Rosedale\n",
      "Cabbagetown, St. James Town\n",
      "Church and Wellesley\n",
      "Harbourfront, Regent Park\n",
      "Garden District\n",
      ", Ryerson\n",
      "St. James Town\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "\n",
      "Adelaide, King, Richmond\n",
      "\n",
      "Harbourfront East\n",
      ", Toronto Islands, Union Station\n",
      "Design Exchange, Toronto Dominion Centre\n",
      "Commerce Court, Victoria Hotel\n",
      "\n",
      "Bedford Park, Lawrence Manor East\n",
      "\n",
      "Roselawn\n",
      "\n",
      "Forest Hill North, Forest Hill West\n",
      "\n",
      "North Midtown\n",
      ", The Annex, Yorkville\n",
      "Harbord\n",
      ", University of Toronto\n",
      "Chinatown, Grange Park, Kensington Market\n",
      "Bathurst Quay\n",
      ", CN Tower, Harbourfront West\n",
      ", Island airport\n",
      ", King and Spadina, Railway Lands, South Niagara\n",
      "Stn A PO Boxes 25 The Esplanade\n",
      "\n",
      "First Canadian Place, Underground city\n",
      "Lawrence Heights, Lawrence Manor\n",
      "Glencairn\n",
      "Humewood-Cedarvale\n",
      "Caledonia-Fairbanks\n",
      "\n",
      "Christie\n",
      "\n",
      "Dovercourt Village, Dufferin\n",
      "\n",
      "Little Portugal, Trinity\n",
      "Brockton\n",
      ", Exhibition Place, Parkdale Village\n",
      "Maple Leaf Park, North Park\n",
      ", Upwood Park\n",
      "\n",
      "Del Ray\n",
      ", Keelesdale, Mount Dennis, Silverthorn\n",
      "Runnymede\n",
      ", The Junction North\n",
      "\n",
      "High Park, The Junction South\n",
      "\n",
      "Parkdale, Roncesvalles\n",
      "Runnymede, Swansea\n",
      "Not assigned\n",
      "\n",
      "Canada Post Gateway Processing Centre\n",
      "\n",
      "Business reply mail Processing Centre969 Eastern\n",
      "\n",
      "Humber Bay Shores\n",
      ", Mimico South\n",
      ", New Toronto\n",
      "Alderwood, Long Branch\n",
      "Montgomery Road\n",
      ", Old Mill North\n",
      ", The Kingsway\n",
      "Humber Bay, King's Mill Park, Kingsway Park South East\n",
      ", Mimico NE, Old Mill South, Royal York South East, Sunnylea, The Queensway East\n",
      "Kingsway Park South West\n",
      ", Mimico NW, Royal York South West\n",
      ", South of Bloor, The Queensway West\n",
      "Islington Avenue\n",
      "Cloverdale\n",
      ", Islington, Martin Grove\n",
      ", Princess Gardens, West Deane Park\n",
      "Bloordale Gardens\n",
      ", Eringate\n",
      ", Markland Wood, Old Burnhamthorpe\n",
      "\n",
      "Humber Summit\n",
      "Emery, Humberlea\n",
      "Weston\n",
      "Westmount\n",
      "Kingsview Village, Martin Grove Gardens\n",
      ", Richview Gardens\n",
      ", St. Phillips\n",
      "\n",
      "Albion Gardens\n",
      ", Beaumond Heights, Humbergate\n",
      ", Jamestown, Mount Olive, Silverstone, South Steeles, Thistletown\n",
      "Northwest\n"
     ]
    }
   ],
   "source": [
    "toronto_venues = getNearbyVenues(names=toronto_df['Neighbourhood'],\n",
    "                                   latitudes=toronto_df['Latitude'],\n",
    "                                   longitudes=toronto_df['Longitude'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2233, 7)\n"
     ]
    },
    {
     "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>Neighbourhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Malvern, Rouge</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "      <td>Wendy's</td>\n",
       "      <td>43.807448</td>\n",
       "      <td>-79.199056</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Malvern, Rouge</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "      <td>Interprovincial Group</td>\n",
       "      <td>43.805630</td>\n",
       "      <td>-79.200378</td>\n",
       "      <td>Print Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Highland Creek, Port Union, Rouge Hill</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "      <td>Royal Canadian Legion</td>\n",
       "      <td>43.782533</td>\n",
       "      <td>-79.163085</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Guildwood\\n, Morningside, West Hill</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "      <td>Swiss Chalet Rotisserie &amp; Grill</td>\n",
       "      <td>43.767697</td>\n",
       "      <td>-79.189914</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Guildwood\\n, Morningside, West Hill</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "      <td>G &amp; G Electronics</td>\n",
       "      <td>43.765309</td>\n",
       "      <td>-79.191537</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Neighbourhood  Neighborhood Latitude  \\\n",
       "0                          Malvern, Rouge              43.806686   \n",
       "1                          Malvern, Rouge              43.806686   \n",
       "2  Highland Creek, Port Union, Rouge Hill              43.784535   \n",
       "3     Guildwood\\n, Morningside, West Hill              43.763573   \n",
       "4     Guildwood\\n, Morningside, West Hill              43.763573   \n",
       "\n",
       "   Neighborhood Longitude                            Venue  Venue Latitude  \\\n",
       "0              -79.194353                          Wendy's       43.807448   \n",
       "1              -79.194353            Interprovincial Group       43.805630   \n",
       "2              -79.160497            Royal Canadian Legion       43.782533   \n",
       "3              -79.188711  Swiss Chalet Rotisserie & Grill       43.767697   \n",
       "4              -79.188711                G & G Electronics       43.765309   \n",
       "\n",
       "   Venue Longitude        Venue Category  \n",
       "0       -79.199056  Fast Food Restaurant  \n",
       "1       -79.200378            Print Shop  \n",
       "2       -79.163085                   Bar  \n",
       "3       -79.189914           Pizza Place  \n",
       "4       -79.191537     Electronics Store  "
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(toronto_venues.shape)\n",
    "toronto_venues.head()"
   ]
  }
 ],
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