Battle_of_Neighborhoods.ipynb

{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "battle of neighbourhoods.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyNCGWI9ta7sOPftY7nP2gaQ",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/vibhakargupta1/Coursera_Capstone/blob/master/Battle_of_Neighborhoods.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xS2ijf1_XucO",
        "colab_type": "text"
      },
      "source": [
        "# **The Battle of Neighbourhoods**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LYwKsAmTX141",
        "colab_type": "text"
      },
      "source": [
        "## **Finding a nice place in Scarborough, Toronto**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cZx3bd_OYARl",
        "colab_type": "text"
      },
      "source": [
        "**1. Importing necessary libraries**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8HZ9rAGcYHfz",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 302
        },
        "outputId": "a0cc96ed-e8be-48e0-a1a8-0a6ee22db466"
      },
      "source": [
        "!pip install geocoder\n",
        "import pandas as pd\n",
        "import requests\n",
        "import numpy as np\n",
        "import geocoder\n",
        "import folium\n",
        "import requests \n",
        "import matplotlib.cm as cm\n",
        "import matplotlib.colors as colors\n",
        "import json\n",
        "import xml\n",
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")\n",
        "\n",
        "from pandas.io.json import json_normalize \n",
        "from sklearn.cluster import KMeans\n",
        "from geopy.geocoders import Nominatim \n",
        "from bs4 import BeautifulSoup\n",
        "\n",
        "pd.set_option('display.max_columns', None)\n",
        "pd.set_option('display.max_rows', None)\n",
        "\n",
        "print(\"All Required Libraries Imported!\")"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting geocoder\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/4f/6b/13166c909ad2f2d76b929a4227c952630ebaf0d729f6317eb09cbceccbab/geocoder-1.38.1-py2.py3-none-any.whl (98kB)\n",
            "\r\u001b[K     |███▎                            | 10kB 21.2MB/s eta 0:00:01\r\u001b[K     |██████▋                         | 20kB 5.9MB/s eta 0:00:01\r\u001b[K     |██████████                      | 30kB 7.0MB/s eta 0:00:01\r\u001b[K     |█████████████▎                  | 40kB 7.6MB/s eta 0:00:01\r\u001b[K     |████████████████▋               | 51kB 6.4MB/s eta 0:00:01\r\u001b[K     |████████████████████            | 61kB 6.9MB/s eta 0:00:01\r\u001b[K     |███████████████████████▎        | 71kB 7.3MB/s eta 0:00:01\r\u001b[K     |██████████████████████████▋     | 81kB 7.8MB/s eta 0:00:01\r\u001b[K     |██████████████████████████████  | 92kB 8.5MB/s eta 0:00:01\r\u001b[K     |████████████████████████████████| 102kB 5.5MB/s \n",
            "\u001b[?25hCollecting ratelim\n",
            "  Downloading https://files.pythonhosted.org/packages/f2/98/7e6d147fd16a10a5f821db6e25f192265d6ecca3d82957a4fdd592cad49c/ratelim-0.1.6-py2.py3-none-any.whl\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.6/dist-packages (from geocoder) (2.23.0)\n",
            "Requirement already satisfied: future in /usr/local/lib/python3.6/dist-packages (from geocoder) (0.16.0)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.6/dist-packages (from geocoder) (7.1.2)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from geocoder) (1.12.0)\n",
            "Requirement already satisfied: decorator in /usr/local/lib/python3.6/dist-packages (from ratelim->geocoder) (4.4.2)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->geocoder) (2020.4.5.1)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->geocoder) (2.9)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->geocoder) (3.0.4)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests->geocoder) (1.24.3)\n",
            "Installing collected packages: ratelim, geocoder\n",
            "Successfully installed geocoder-1.38.1 ratelim-0.1.6\n",
            "All Required Libraries Imported!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OsEjpjB1YseI",
        "colab_type": "text"
      },
      "source": [
        "**2. Data Scraping and Cleaning**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "s5M9elssYxM8",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "url = \"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\"\n",
        "extracting_data = requests.get(url).text\n",
        "wiki_data = BeautifulSoup(extracting_data, 'lxml')\n",
        "column_names = ['Postalcode','Borough','Neighborhood']\n",
        "toronto = pd.DataFrame(columns = column_names)\n",
        "\n",
        "content = wiki_data.find('div', class_='mw-parser-output')\n",
        "table = content.table.tbody\n",
        "postcode = 0\n",
        "borough = 0\n",
        "neighborhood = 0\n",
        "\n",
        "for tr in table.find_all('tr'):\n",
        "    i = 0\n",
        "    for td in tr.find_all('td'):\n",
        "        if i == 0:\n",
        "            postcode = td.text\n",
        "            i = i + 1\n",
        "        elif i == 1:\n",
        "            borough = td.text\n",
        "            i = i + 1\n",
        "        elif i == 2: \n",
        "            neighborhood = td.text.strip('\\n').replace(']','')\n",
        "    toronto = toronto.append({'Postalcode': postcode,'Borough': borough,'Neighborhood': neighborhood},ignore_index=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DlLcZivjY57d",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# clean dataframe \n",
        "toronto = toronto[toronto.Borough!='Not assigned']\n",
        "toronto = toronto[toronto.Borough!= 0]\n",
        "toronto.reset_index(drop = True, inplace = True)\n",
        "i = 0\n",
        "for i in range(0,toronto.shape[0]):\n",
        "    if toronto.iloc[i][2] == 'Not assigned':\n",
        "        toronto.iloc[i][2] = toronto.iloc[i][1]\n",
        "        i = i+1"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GlCNhKKjY-A0",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "outputId": "2f4ee872-a9b7-4018-d58b-f7e8971aa94f"
      },
      "source": [
        "df = toronto.groupby(['Postalcode','Borough'])['Neighborhood'].apply(', '.join).reset_index()\n",
        "df = df.replace(r'\\n','', regex=True)\n",
        "df.head()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\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>Postalcode</th>\n",
              "      <th>Borough</th>\n",
              "      <th>Neighborhood</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>M1A</td>\n",
              "      <td>Not assigned</td>\n",
              "      <td>Not assigned</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>M1B</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Malvern, Rouge</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>M1C</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>M1E</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Guildwood, Morningside, West Hill</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>M1G</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Woburn</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Postalcode       Borough                            Neighborhood\n",
              "0        M1A  Not assigned                            Not assigned\n",
              "1        M1B   Scarborough                          Malvern, Rouge\n",
              "2        M1C   Scarborough  Rouge Hill, Port Union, Highland Creek\n",
              "3        M1E   Scarborough       Guildwood, Morningside, West Hill\n",
              "4        M1G   Scarborough                                  Woburn"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lK4dx6vbZi0M",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 166
        },
        "outputId": "40c945d7-a440-4a5d-b1b8-2ecdf4e97520"
      },
      "source": [
        "df.describe()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Postalcode</th>\n",
              "      <th>Borough</th>\n",
              "      <th>Neighborhood</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>180</td>\n",
              "      <td>180</td>\n",
              "      <td>180</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>unique</th>\n",
              "      <td>180</td>\n",
              "      <td>11</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>top</th>\n",
              "      <td>M6G</td>\n",
              "      <td>Not assigned</td>\n",
              "      <td>Not assigned</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freq</th>\n",
              "      <td>1</td>\n",
              "      <td>77</td>\n",
              "      <td>77</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       Postalcode       Borough  Neighborhood\n",
              "count         180           180           180\n",
              "unique        180            11           100\n",
              "top           M6G  Not assigned  Not assigned\n",
              "freq            1            77            77"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JiVPpRGrZpqE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df = df.dropna()\n",
        "empty = 'Not assigned'\n",
        "df = df[(df.Postalcode != empty ) & (df.Borough != empty) & (df.Neighborhood != empty)]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Hm9iLpgNZrLG",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "outputId": "79534ed5-d8ad-49d4-d1d3-d66c41b8d510"
      },
      "source": [
        "df.head()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\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>Postalcode</th>\n",
              "      <th>Borough</th>\n",
              "      <th>Neighborhood</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>M1B</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Malvern, Rouge</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>M1C</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>M1E</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Guildwood, Morningside, West Hill</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>M1G</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Woburn</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>M1H</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Cedarbrae</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Postalcode      Borough                            Neighborhood\n",
              "1        M1B  Scarborough                          Malvern, Rouge\n",
              "2        M1C  Scarborough  Rouge Hill, Port Union, Highland Creek\n",
              "3        M1E  Scarborough       Guildwood, Morningside, West Hill\n",
              "4        M1G  Scarborough                                  Woburn\n",
              "5        M1H  Scarborough                               Cedarbrae"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3HrU_JUSZuxX",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 166
        },
        "outputId": "4558e5f0-a699-4b48-d0be-31e8dbc4c4de"
      },
      "source": [
        "def neighborhood_list(grouped):    \n",
        "    return ', '.join(sorted(grouped['Neighborhood'].tolist()))\n",
        "                    \n",
        "grp = df.groupby(['Postalcode', 'Borough'])\n",
        "df_2 = grp.apply(neighborhood_list).reset_index(name='Neighborhood')\n",
        "df_2.describe()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Postalcode</th>\n",
              "      <th>Borough</th>\n",
              "      <th>Neighborhood</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>103</td>\n",
              "      <td>103</td>\n",
              "      <td>103</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>unique</th>\n",
              "      <td>103</td>\n",
              "      <td>10</td>\n",
              "      <td>99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>top</th>\n",
              "      <td>M3K</td>\n",
              "      <td>North York</td>\n",
              "      <td>Downsview</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freq</th>\n",
              "      <td>1</td>\n",
              "      <td>24</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       Postalcode     Borough Neighborhood\n",
              "count         103         103          103\n",
              "unique        103          10           99\n",
              "top           M3K  North York    Downsview\n",
              "freq            1          24            4"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9qo8zR9yZ4Om",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 212
        },
        "outputId": "79cbecd7-aba2-4d55-85ac-cfc1bec65bb5"
      },
      "source": [
        "print(df_2.shape)\n",
        "df_2.head()"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(103, 3)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "        vertical-align: middle;\n",
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              "\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>Postalcode</th>\n",
              "      <th>Borough</th>\n",
              "      <th>Neighborhood</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>Rouge Hill, Port Union, Highland Creek</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>M1E</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Guildwood, 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",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Postalcode      Borough                            Neighborhood\n",
              "0        M1B  Scarborough                          Malvern, Rouge\n",
              "1        M1C  Scarborough  Rouge Hill, Port Union, Highland Creek\n",
              "2        M1E  Scarborough       Guildwood, Morningside, West Hill\n",
              "3        M1G  Scarborough                                  Woburn\n",
              "4        M1H  Scarborough                               Cedarbrae"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D2mQEXLrZ8H9",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "fdfa8e8b-39dc-48dc-8982-530829d068fa"
      },
      "source": [
        "def get_latilong(postal_code):\n",
        "    lati_long_coords = None\n",
        "    while(lati_long_coords is None):\n",
        "        g = geocoder.arcgis('{}, Toronto, Ontario'.format(postal_code))\n",
        "        lati_long_coords = g.latlng\n",
        "    return lati_long_coords\n",
        "    \n",
        "get_latilong('M4G')"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[43.70941386000004, -79.36309957799995]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gyg_8lkRaARG",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Retrieving Postal Code Co-ordinates\n",
        "postal_codes = df_2['Postalcode']    \n",
        "coords = [ get_latilong(postal_code) for postal_code in postal_codes.tolist() ]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PHoGGvoOaX-U",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Adding Columns Latitude & Longitude\n",
        "df_coords = pd.DataFrame(coords, columns=['Latitude', 'Longitude'])\n",
        "df_2['Latitude'] = df_coords['Latitude']\n",
        "df_2['Longitude'] = df_coords['Longitude']"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gLHtF8lnadml",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 77
        },
        "outputId": "8fcd60d1-5262-4025-b3df-50b12e06f758"
      },
      "source": [
        "df_2[df_2.Postalcode == 'M5G']"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Postalcode</th>\n",
              "      <th>Borough</th>\n",
              "      <th>Neighborhood</th>\n",
              "      <th>Latitude</th>\n",
              "      <th>Longitude</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>M5G</td>\n",
              "      <td>Downtown Toronto</td>\n",
              "      <td>Central Bay Street</td>\n",
              "      <td>43.656072</td>\n",
              "      <td>-79.385653</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Postalcode           Borough        Neighborhood   Latitude  Longitude\n",
              "57        M5G  Downtown Toronto  Central Bay Street  43.656072 -79.385653"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yyBWqYCfahEF",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        },
        "outputId": "0bd89457-014f-4361-92a8-d36ff09d7b75"
      },
      "source": [
        "df_2.head(10)"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Postalcode</th>\n",
              "      <th>Borough</th>\n",
              "      <th>Neighborhood</th>\n",
              "      <th>Latitude</th>\n",
              "      <th>Longitude</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",
              "      <td>43.808626</td>\n",
              "      <td>-79.189913</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>M1C</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
              "      <td>43.785779</td>\n",
              "      <td>-79.157368</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>M1E</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Guildwood, Morningside, West Hill</td>\n",
              "      <td>43.765806</td>\n",
              "      <td>-79.185284</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>M1G</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Woburn</td>\n",
              "      <td>43.771545</td>\n",
              "      <td>-79.218135</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>M1H</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Cedarbrae</td>\n",
              "      <td>43.768791</td>\n",
              "      <td>-79.238813</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>M1J</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Scarborough Village</td>\n",
              "      <td>43.744203</td>\n",
              "      <td>-79.228725</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>M1K</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Kennedy Park, Ionview, East Birchmount Park</td>\n",
              "      <td>43.726881</td>\n",
              "      <td>-79.265694</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>M1L</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Golden Mile, Clairlea, Oakridge</td>\n",
              "      <td>43.713340</td>\n",
              "      <td>-79.284942</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>M1M</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Cliffside, Cliffcrest, Scarborough Village West</td>\n",
              "      <td>43.723538</td>\n",
              "      <td>-79.228353</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>M1N</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Birch Cliff, Cliffside West</td>\n",
              "      <td>43.696448</td>\n",
              "      <td>-79.265642</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Postalcode      Borough                                     Neighborhood  \\\n",
              "0        M1B  Scarborough                                   Malvern, Rouge   \n",
              "1        M1C  Scarborough           Rouge Hill, Port Union, Highland Creek   \n",
              "2        M1E  Scarborough                Guildwood, Morningside, West Hill   \n",
              "3        M1G  Scarborough                                           Woburn   \n",
              "4        M1H  Scarborough                                        Cedarbrae   \n",
              "5        M1J  Scarborough                              Scarborough Village   \n",
              "6        M1K  Scarborough      Kennedy Park, Ionview, East Birchmount Park   \n",
              "7        M1L  Scarborough                  Golden Mile, Clairlea, Oakridge   \n",
              "8        M1M  Scarborough  Cliffside, Cliffcrest, Scarborough Village West   \n",
              "9        M1N  Scarborough                      Birch Cliff, Cliffside West   \n",
              "\n",
              "    Latitude  Longitude  \n",
              "0  43.808626 -79.189913  \n",
              "1  43.785779 -79.157368  \n",
              "2  43.765806 -79.185284  \n",
              "3  43.771545 -79.218135  \n",
              "4  43.768791 -79.238813  \n",
              "5  43.744203 -79.228725  \n",
              "6  43.726881 -79.265694  \n",
              "7  43.713340 -79.284942  \n",
              "8  43.723538 -79.228353  \n",
              "9  43.696448 -79.265642  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e1OztsPwalH1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "b057246e-522b-4131-aec1-ae6f2c18661f"
      },
      "source": [
        "address = 'Scarborough,Toronto'\n",
        "\n",
        "geolocator = Nominatim()\n",
        "location = geolocator.geocode(address)\n",
        "latitude_x = location.latitude\n",
        "longitude_y = location.longitude\n",
        "print('The Geograpical Co-ordinate of Seattle,Washington are {}, {}.'.format(latitude_x, longitude_y))"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The Geograpical Co-ordinate of Seattle,Washington are 43.773077, -79.257774.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ORlKNenzasCp",
        "colab_type": "text"
      },
      "source": [
        "**3. Map of Scarborough**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JSBbhYSdavjE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 866
        },
        "outputId": "fd796b04-cd80-4186-b805-448dcd48bc26"
      },
      "source": [
        "map_Scarborough = folium.Map(location=[latitude_x, longitude_y], zoom_start=10)\n",
        "\n",
        "for lat, lng, nei in zip(df_2['Latitude'], df_2['Longitude'], df_2['Neighborhood']):\n",
        "    \n",
        "    label = '{}'.format(nei)\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_Scarborough)  \n",
        "    \n",
        "map_Scarborough"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
            ],
            "text/plain": [
              "<folium.folium.Map at 0x7fde2ef54780>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zk0-j8X5a2Tb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "ce1cc6ae-fcd0-4510-fec2-01aa0eb98a1f"
      },
      "source": [
        "address = 'Scarborough,Toronto'\n",
        "\n",
        "geolocator = Nominatim()\n",
        "location = geolocator.geocode(address)\n",
        "latitude_n1 = location.latitude\n",
        "longitude_n1 = location.longitude\n",
        "print('The Geograpical Co-ordinate of Neighborhood_1 are {}, {}.'.format(latitude_x, longitude_y))"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The Geograpical Co-ordinate of Neighborhood_1 are 43.773077, -79.257774.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TQCfuXrya8Z9",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 67
        },
        "outputId": "04453b3d-c745-4868-b8d2-2736a3b17a3d"
      },
      "source": [
        "CLIENT_ID = 'NVUVUWPGRS0KBJPYGIWYNY25SQ0KI5YFTTE0XRGY4OE1LO55' # my Foursquare ID\n",
        "CLIENT_SECRET = 'UCPJJOQ0KEAEN2K2NASJEJYPUZY5VJ4GFGKIDICIUTZQIQ3A' # my Foursquare Secret\n",
        "VERSION = '20200610'\n",
        "LIMIT = 30\n",
        "print('Your credentails:')\n",
        "print('CLIENT_ID: '+CLIENT_ID)\n",
        "print('CLIENT_SECRET: '+CLIENT_SECRET)"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Your credentails:\n",
            "CLIENT_ID: NVUVUWPGRS0KBJPYGIWYNY25SQ0KI5YFTTE0XRGY4OE1LO55\n",
            "CLIENT_SECRET: UCPJJOQ0KEAEN2K2NASJEJYPUZY5VJ4GFGKIDICIUTZQIQ3A\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uV5Z68H4bdlw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "radius = 700 \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",
        "    latitude_n1, \n",
        "   longitude_n1, \n",
        "    radius, \n",
        "   LIMIT)\n",
        "results = requests.get(url).json()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JNOhpEigbkIE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 185
        },
        "outputId": "0547b2fa-4a86-4aff-f276-ffb499468c28"
      },
      "source": [
        "venues=results['response']['groups'][0]['items']\n",
        "nearby_venues = json_normalize(venues)\n",
        "nearby_venues.columns"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['referralId', 'reasons.count', 'reasons.items', 'venue.id',\n",
              "       'venue.name', 'venue.location.address', 'venue.location.crossStreet',\n",
              "       'venue.location.lat', 'venue.location.lng',\n",
              "       'venue.location.labeledLatLngs', 'venue.location.distance',\n",
              "       'venue.location.postalCode', 'venue.location.cc', 'venue.location.city',\n",
              "       'venue.location.state', 'venue.location.country',\n",
              "       'venue.location.formattedAddress', 'venue.categories',\n",
              "       'venue.photos.count', 'venue.photos.groups',\n",
              "       'venue.location.neighborhood', 'venue.venuePage.id'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jJUgoGZmbmlP",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "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']"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JD_v0ZLYbs3t",
        "colab_type": "text"
      },
      "source": [
        "**4. Nearby Venues**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qX9sQVQvbv92",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "outputId": "d211e35f-272c-4ae9-b849-a3e24aa5e249"
      },
      "source": [
        "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
        "nearby_venues =nearby_venues.loc[:, filtered_columns]\n",
        "nearby_venues.head()"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>venue.name</th>\n",
              "      <th>venue.categories</th>\n",
              "      <th>venue.location.lat</th>\n",
              "      <th>venue.location.lng</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Disney Store</td>\n",
              "      <td>[{'id': '4bf58dd8d48988d1f3941735', 'name': 'T...</td>\n",
              "      <td>43.775537</td>\n",
              "      <td>-79.256833</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>St. Andrews Fish &amp; Chips</td>\n",
              "      <td>[{'id': '4edd64a0c7ddd24ca188df1a', 'name': 'F...</td>\n",
              "      <td>43.771865</td>\n",
              "      <td>-79.252645</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>SEPHORA</td>\n",
              "      <td>[{'id': '4bf58dd8d48988d10c951735', 'name': 'C...</td>\n",
              "      <td>43.775017</td>\n",
              "      <td>-79.258109</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>DAVIDsTEA</td>\n",
              "      <td>[{'id': '4bf58dd8d48988d1dc931735', 'name': 'T...</td>\n",
              "      <td>43.776320</td>\n",
              "      <td>-79.258688</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>American Eagle Outfitters</td>\n",
              "      <td>[{'id': '4bf58dd8d48988d103951735', 'name': 'C...</td>\n",
              "      <td>43.776012</td>\n",
              "      <td>-79.258334</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                  venue.name  \\\n",
              "0               Disney Store   \n",
              "1   St. Andrews Fish & Chips   \n",
              "2                    SEPHORA   \n",
              "3                  DAVIDsTEA   \n",
              "4  American Eagle Outfitters   \n",
              "\n",
              "                                    venue.categories  venue.location.lat  \\\n",
              "0  [{'id': '4bf58dd8d48988d1f3941735', 'name': 'T...           43.775537   \n",
              "1  [{'id': '4edd64a0c7ddd24ca188df1a', 'name': 'F...           43.771865   \n",
              "2  [{'id': '4bf58dd8d48988d10c951735', 'name': 'C...           43.775017   \n",
              "3  [{'id': '4bf58dd8d48988d1dc931735', 'name': 'T...           43.776320   \n",
              "4  [{'id': '4bf58dd8d48988d103951735', 'name': 'C...           43.776012   \n",
              "\n",
              "   venue.location.lng  \n",
              "0          -79.256833  \n",
              "1          -79.252645  \n",
              "2          -79.258109  \n",
              "3          -79.258688  \n",
              "4          -79.258334  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hFUYd5X9bzlu",
        "colab_type": "text"
      },
      "source": [
        "**5. Categories of nearby venues**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qb3QfQfSb439",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        },
        "outputId": "448927b7-f415-4e30-eadc-a634ea78486e"
      },
      "source": [
        "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(5)"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Disney Store</td>\n",
              "      <td>Toy / Game Store</td>\n",
              "      <td>43.775537</td>\n",
              "      <td>-79.256833</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>St. Andrews Fish &amp; Chips</td>\n",
              "      <td>Fish &amp; Chips Shop</td>\n",
              "      <td>43.771865</td>\n",
              "      <td>-79.252645</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>SEPHORA</td>\n",
              "      <td>Cosmetics Shop</td>\n",
              "      <td>43.775017</td>\n",
              "      <td>-79.258109</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>DAVIDsTEA</td>\n",
              "      <td>Tea Room</td>\n",
              "      <td>43.776320</td>\n",
              "      <td>-79.258688</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>American Eagle Outfitters</td>\n",
              "      <td>Clothing Store</td>\n",
              "      <td>43.776012</td>\n",
              "      <td>-79.258334</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                        name         categories        lat        lng\n",
              "0               Disney Store   Toy / Game Store  43.775537 -79.256833\n",
              "1   St. Andrews Fish & Chips  Fish & Chips Shop  43.771865 -79.252645\n",
              "2                    SEPHORA     Cosmetics Shop  43.775017 -79.258109\n",
              "3                  DAVIDsTEA           Tea Room  43.776320 -79.258688\n",
              "4  American Eagle Outfitters     Clothing Store  43.776012 -79.258334"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pYIMQaE0cBQN",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 202
        },
        "outputId": "f0f8d3ef-d110-4794-f455-65404d09c92b"
      },
      "source": [
        "# Top 10 Categories\n",
        "a=pd.Series(nearby_venues.categories)\n",
        "a.value_counts()[:10]"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Clothing Store            8\n",
              "Restaurant                6\n",
              "Coffee Shop               4\n",
              "Furniture / Home Store    2\n",
              "Gas Station               2\n",
              "Food Court                2\n",
              "Pharmacy                  2\n",
              "Sandwich Place            2\n",
              "Tea Room                  2\n",
              "Gym                       1\n",
              "Name: categories, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6Rn_GBrocEmO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def getNearbyVenues(names, latitudes, longitudes, radius=700):\n",
        "    \n",
        "    venues_list=[]\n",
        "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
        "        print(name)\n",
        "            \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",
        "        # making GET request\n",
        "        venue_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 venue_results])\n",
        "\n",
        "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
        "    nearby_venues.columns = ['Neighborhood', \n",
        "                  'Neighborhood Latitude', \n",
        "                  'Neighborhood Longitude', \n",
        "                  'Venue', \n",
        "                  'Venue Latitude', \n",
        "                  'Venue Longitude', \n",
        "                  'Venue Category']\n",
        "    \n",
        "    return(nearby_venues)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1ennypkzcMeu",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "59b90547-712a-4559-93a9-14b264fb9bb9"
      },
      "source": [
        "# Nearby Venues\n",
        "Scarborough_venues = getNearbyVenues(names=df_2['Neighborhood'],\n",
        "                                   latitudes=df_2['Latitude'],\n",
        "                                   longitudes=df_2['Longitude']\n",
        "                                  )"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Malvern, Rouge\n",
            "Rouge Hill, Port Union, Highland Creek\n",
            "Guildwood, Morningside, West Hill\n",
            "Woburn\n",
            "Cedarbrae\n",
            "Scarborough Village\n",
            "Kennedy Park, Ionview, East Birchmount Park\n",
            "Golden Mile, Clairlea, Oakridge\n",
            "Cliffside, Cliffcrest, Scarborough Village West\n",
            "Birch Cliff, Cliffside West\n",
            "Dorset Park, Wexford Heights, Scarborough Town Centre\n",
            "Wexford, Maryvale\n",
            "Agincourt\n",
            "Clarks Corners, Tam O'Shanter, Sullivan\n",
            "Milliken, Agincourt North, Steeles East, L'Amoreaux East\n",
            "Steeles West, L'Amoreaux West\n",
            "Upper Rouge\n",
            "Hillcrest Village\n",
            "Fairview, Henry Farm, Oriole\n",
            "Bayview Village\n",
            "York Mills, Silver Hills\n",
            "Willowdale, Newtonbrook\n",
            "Willowdale, Willowdale East\n",
            "York Mills West\n",
            "Willowdale, Willowdale West\n",
            "Parkwoods\n",
            "Don Mills\n",
            "Don Mills\n",
            "Bathurst Manor, Wilson Heights, Downsview North\n",
            "Northwood Park, York University\n",
            "Downsview\n",
            "Downsview\n",
            "Downsview\n",
            "Downsview\n",
            "Victoria Village\n",
            "Parkview Hill, Woodbine Gardens\n",
            "Woodbine Heights\n",
            "The Beaches\n",
            "Leaside\n",
            "Thorncliffe Park\n",
            "East Toronto, Broadview North (Old East York)\n",
            "The Danforth West, Riverdale\n",
            "India Bazaar, The Beaches West\n",
            "Studio District\n",
            "Lawrence Park\n",
            "Davisville North\n",
            "North Toronto West,  Lawrence Park\n",
            "Davisville\n",
            "Moore Park, Summerhill East\n",
            "Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park\n",
            "Rosedale\n",
            "St. James Town, Cabbagetown\n",
            "Church and Wellesley\n",
            "Regent Park, Harbourfront\n",
            "Garden District, Ryerson\n",
            "St. James Town\n",
            "Berczy Park\n",
            "Central Bay Street\n",
            "Richmond, Adelaide, King\n",
            "Harbourfront East, Union Station, Toronto Islands\n",
            "Toronto Dominion Centre, Design Exchange\n",
            "Commerce Court, Victoria Hotel\n",
            "Bedford Park, Lawrence Manor East\n",
            "Roselawn\n",
            "Forest Hill North & West, Forest Hill Road Park\n",
            "The Annex, North Midtown, Yorkville\n",
            "University of Toronto, Harbord\n",
            "Kensington Market, Chinatown, Grange Park\n",
            "CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport\n",
            "Stn A PO Boxes\n",
            "First Canadian Place, Underground city\n",
            "Lawrence Manor, Lawrence Heights\n",
            "Glencairn\n",
            "Humewood-Cedarvale\n",
            "Caledonia-Fairbanks\n",
            "Christie\n",
            "Dufferin, Dovercourt Village\n",
            "Little Portugal, Trinity\n",
            "Brockton, Parkdale Village, Exhibition Place\n",
            "North Park, Maple Leaf Park, Upwood Park\n",
            "Del Ray, Mount Dennis, Keelsdale and Silverthorn\n",
            "Runnymede, The Junction North\n",
            "High Park, The Junction South\n",
            "Parkdale, Roncesvalles\n",
            "Runnymede, Swansea\n",
            "Queen's Park, Ontario Provincial Government\n",
            "Canada Post Gateway Processing Centre\n",
            "Business reply mail Processing Centre, South Central Letter Processing Plant Toronto\n",
            "New Toronto, Mimico South, Humber Bay Shores\n",
            "Alderwood, Long Branch\n",
            "The Kingsway, Montgomery Road, Old Mill North\n",
            "Old Mill South, King's Mill Park, Sunnylea, Humber Bay, Mimico NE, The Queensway East, Royal York South East, Kingsway Park South East\n",
            "Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West\n",
            "Islington Avenue, Humber Valley Village\n",
            "West Deane Park, Princess Gardens, Martin Grove, Islington, Cloverdale\n",
            "Eringate, Bloordale Gardens, Old Burnhamthorpe, Markland Wood\n",
            "Humber Summit\n",
            "Humberlea, Emery\n",
            "Weston\n",
            "Westmount\n",
            "Kingsview Village, St. Phillips, Martin Grove Gardens, Richview Gardens\n",
            "South Steeles, Silverstone, Humbergate, Jamestown, Mount Olive, Beaumond Heights, Thistletown, Albion Gardens\n",
            "Northwest, West Humber - Clairville\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ri2iuLYbdCVf",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 242
        },
        "outputId": "8b45e64f-8d98-4268-a51d-31e093217b22"
      },
      "source": [
        "print('There are {} Uniques Categories.'.format(len(Scarborough_venues['Venue Category'].unique())))\n",
        "Scarborough_venues.groupby('Neighborhood').count().head()"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "There are 316 Uniques Categories.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "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>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",
              "    <tr>\n",
              "      <th>Neighborhood</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>Agincourt</th>\n",
              "      <td>28</td>\n",
              "      <td>28</td>\n",
              "      <td>28</td>\n",
              "      <td>28</td>\n",
              "      <td>28</td>\n",
              "      <td>28</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Alderwood, Long Branch</th>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bathurst Manor, Wilson Heights, Downsview North</th>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "      <td>24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bayview Village</th>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bedford Park, Lawrence Manor East</th>\n",
              "      <td>26</td>\n",
              "      <td>26</td>\n",
              "      <td>26</td>\n",
              "      <td>26</td>\n",
              "      <td>26</td>\n",
              "      <td>26</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                 Neighborhood Latitude  \\\n",
              "Neighborhood                                                             \n",
              "Agincourt                                                           28   \n",
              "Alderwood, Long Branch                                              10   \n",
              "Bathurst Manor, Wilson Heights, Downsview North                     24   \n",
              "Bayview Village                                                      5   \n",
              "Bedford Park, Lawrence Manor East                                   26   \n",
              "\n",
              "                                                 Neighborhood Longitude  \\\n",
              "Neighborhood                                                              \n",
              "Agincourt                                                            28   \n",
              "Alderwood, Long Branch                                               10   \n",
              "Bathurst Manor, Wilson Heights, Downsview North                      24   \n",
              "Bayview Village                                                       5   \n",
              "Bedford Park, Lawrence Manor East                                    26   \n",
              "\n",
              "                                                 Venue  Venue Latitude  \\\n",
              "Neighborhood                                                             \n",
              "Agincourt                                           28              28   \n",
              "Alderwood, Long Branch                              10              10   \n",
              "Bathurst Manor, Wilson Heights, Downsview North     24              24   \n",
              "Bayview Village                                      5               5   \n",
              "Bedford Park, Lawrence Manor East                   26              26   \n",
              "\n",
              "                                                 Venue Longitude  \\\n",
              "Neighborhood                                                       \n",
              "Agincourt                                                     28   \n",
              "Alderwood, Long Branch                                        10   \n",
              "Bathurst Manor, Wilson Heights, Downsview North               24   \n",
              "Bayview Village                                                5   \n",
              "Bedford Park, Lawrence Manor East                             26   \n",
              "\n",
              "                                                 Venue Category  \n",
              "Neighborhood                                                     \n",
              "Agincourt                                                    28  \n",
              "Alderwood, Long Branch                                       10  \n",
              "Bathurst Manor, Wilson Heights, Downsview North              24  \n",
              "Bayview Village                                               5  \n",
              "Bedford Park, Lawrence Manor East                            26  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2CstuOwIdgTX",
        "colab_type": "text"
      },
      "source": [
        "**One Hot Encoding**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TjS7JSOUdjYG",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        },
        "outputId": "e54ee8d1-aa1c-475a-ef6f-8c37de9c0c39"
      },
      "source": [
        "# one hot encoding\n",
        "Scarborough_onehot = pd.get_dummies(Scarborough_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
        "\n",
        "# add neighborhood column back to dataframe\n",
        "Scarborough_onehot['Neighborhood'] = Scarborough_venues['Neighborhood'] \n",
        "\n",
        "# move neighborhood column to the first column\n",
        "fixed_columns = [Scarborough_onehot.columns[-1]] + list(Scarborough_onehot.columns[:-1])\n",
        "Scarborough_onehot = Scarborough_onehot[fixed_columns]\n",
        "Scarborough_grouped = Scarborough_onehot.groupby('Neighborhood').mean().reset_index()\n",
        "Scarborough_onehot.head(5)"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Yoga Studio</th>\n",
              "      <th>Accessories Store</th>\n",
              "      <th>Afghan Restaurant</th>\n",
              "      <th>African Restaurant</th>\n",
              "      <th>Airport</th>\n",
              "      <th>American Restaurant</th>\n",
              "      <th>Antique Shop</th>\n",
              "      <th>Aquarium</th>\n",
              "      <th>Arcade</th>\n",
              "      <th>Art Gallery</th>\n",
              "      <th>Art Museum</th>\n",
              "      <th>Arts &amp; Crafts Store</th>\n",
              "      <th>Asian Restaurant</th>\n",
              "      <th>Athletics &amp; Sports</th>\n",
              "      <th>Auto Dealership</th>\n",
              "      <th>Auto Workshop</th>\n",
              "      <th>BBQ Joint</th>\n",
              "      <th>Baby Store</th>\n",
              "      <th>Badminton Court</th>\n",
              "      <th>Bagel Shop</th>\n",
              "      <th>Bakery</th>\n",
              "      <th>Bank</th>\n",
              "      <th>Bar</th>\n",
              "      <th>Baseball Field</th>\n",
              "      <th>Baseball Stadium</th>\n",
              "      <th>Basketball Stadium</th>\n",
              "      <th>Beach</th>\n",
              "      <th>Beach Bar</th>\n",
              "      <th>Beer Bar</th>\n",
              "      <th>Beer Store</th>\n",
              "      <th>Belgian Restaurant</th>\n",
              "      <th>Big Box Store</th>\n",
              "      <th>Bike Shop</th>\n",
              "      <th>Bistro</th>\n",
              "      <th>Bookstore</th>\n",
              "      <th>Botanical Garden</th>\n",
              "      <th>Boutique</th>\n",
              "      <th>Brazilian Restaurant</th>\n",
              "      <th>Breakfast Spot</th>\n",
              "      <th>Brewery</th>\n",
              "      <th>Bridal Shop</th>\n",
              "      <th>Bridge</th>\n",
              "      <th>Bubble Tea Shop</th>\n",
              "      <th>Buffet</th>\n",
              "      <th>Building</th>\n",
              "      <th>Burger Joint</th>\n",
              "      <th>Burrito Place</th>\n",
              "      <th>Bus Line</th>\n",
              "      <th>Bus Station</th>\n",
              "      <th>Bus Stop</th>\n",
              "      <th>Business Service</th>\n",
              "      <th>Butcher</th>\n",
              "      <th>Cafeteria</th>\n",
              "      <th>Café</th>\n",
              "      <th>Camera Store</th>\n",
              "      <th>Candy Store</th>\n",
              "      <th>Cantonese Restaurant</th>\n",
              "      <th>Caribbean Restaurant</th>\n",
              "      <th>Castle</th>\n",
              "      <th>Cemetery</th>\n",
              "      <th>Cheese Shop</th>\n",
              "      <th>Chinese Restaurant</th>\n",
              "      <th>Chiropractor</th>\n",
              "      <th>Chocolate Shop</th>\n",
              "      <th>Church</th>\n",
              "      <th>Circus</th>\n",
              "      <th>Clothing Store</th>\n",
              "      <th>Cocktail Bar</th>\n",
              "      <th>Coffee Shop</th>\n",
              "      <th>College Arts Building</th>\n",
              "      <th>College Auditorium</th>\n",
              "      <th>College Gym</th>\n",
              "      <th>College Quad</th>\n",
              "      <th>College Rec Center</th>\n",
              "      <th>College Stadium</th>\n",
              "      <th>College Theater</th>\n",
              "      <th>Comedy Club</th>\n",
              "      <th>Comfort Food Restaurant</th>\n",
              "      <th>Comic Shop</th>\n",
              "      <th>Community Center</th>\n",
              "      <th>Concert Hall</th>\n",
              "      <th>Construction &amp; Landscaping</th>\n",
              "      <th>Convenience Store</th>\n",
              "      <th>Cosmetics Shop</th>\n",
              "      <th>Creperie</th>\n",
              "      <th>Cuban Restaurant</th>\n",
              "      <th>Cupcake Shop</th>\n",
              "      <th>Dance Studio</th>\n",
              "      <th>Deli / Bodega</th>\n",
              "      <th>Dentist's Office</th>\n",
              "      <th>Department Store</th>\n",
              "      <th>Design Studio</th>\n",
              "      <th>Dessert Shop</th>\n",
              "      <th>Dim Sum Restaurant</th>\n",
              "      <th>Diner</th>\n",
              "      <th>Discount Store</th>\n",
              "      <th>Distribution Center</th>\n",
              "      <th>Dive Bar</th>\n",
              "      <th>Dog Run</th>\n",
              "      <th>Doner Restaurant</th>\n",
              "      <th>Donut Shop</th>\n",
              "      <th>Dumpling Restaurant</th>\n",
              "      <th>Eastern European Restaurant</th>\n",
              "      <th>Electronics Store</th>\n",
              "      <th>Ethiopian Restaurant</th>\n",
              "      <th>Falafel Restaurant</th>\n",
              "      <th>Farm</th>\n",
              "      <th>Farmers Market</th>\n",
              "      <th>Fast Food Restaurant</th>\n",
              "      <th>Field</th>\n",
              "      <th>Filipino Restaurant</th>\n",
              "      <th>Fish &amp; Chips Shop</th>\n",
              "      <th>Fish Market</th>\n",
              "      <th>Flea Market</th>\n",
              "      <th>Flower Shop</th>\n",
              "      <th>Food &amp; Drink Shop</th>\n",
              "      <th>Food Court</th>\n",
              "      <th>Food Truck</th>\n",
              "      <th>Fountain</th>\n",
              "      <th>French Restaurant</th>\n",
              "      <th>Fried Chicken Joint</th>\n",
              "      <th>Frozen Yogurt Shop</th>\n",
              "      <th>Furniture / Home Store</th>\n",
              "      <th>Gaming Cafe</th>\n",
              "      <th>Garden</th>\n",
              "      <th>Garden Center</th>\n",
              "      <th>Gas Station</th>\n",
              "      <th>Gastropub</th>\n",
              "      <th>Gay Bar</th>\n",
              "      <th>General Entertainment</th>\n",
              "      <th>General Travel</th>\n",
              "      <th>German Restaurant</th>\n",
              "      <th>Gift Shop</th>\n",
              "      <th>Golf Course</th>\n",
              "      <th>Golf Driving Range</th>\n",
              "      <th>Gourmet Shop</th>\n",
              "      <th>Government Building</th>\n",
              "      <th>Greek Restaurant</th>\n",
              "      <th>Grocery Store</th>\n",
              "      <th>Gym</th>\n",
              "      <th>Gym / Fitness Center</th>\n",
              "      <th>Gym Pool</th>\n",
              "      <th>Hakka Restaurant</th>\n",
              "      <th>Harbor / Marina</th>\n",
              "      <th>Hardware Store</th>\n",
              "      <th>Hawaiian Restaurant</th>\n",
              "      <th>Health &amp; Beauty Service</th>\n",
              "      <th>Health Food Store</th>\n",
              "      <th>Historic Site</th>\n",
              "      <th>History Museum</th>\n",
              "      <th>Hobby Shop</th>\n",
              "      <th>Hockey Arena</th>\n",
              "      <th>Home Service</th>\n",
              "      <th>Hookah Bar</th>\n",
              "      <th>Hostel</th>\n",
              "      <th>Hotel</th>\n",
              "      <th>Hotel Bar</th>\n",
              "      <th>Housing Development</th>\n",
              "      <th>IT Services</th>\n",
              "      <th>Ice Cream Shop</th>\n",
              "      <th>Indian Chinese Restaurant</th>\n",
              "      <th>Indian Restaurant</th>\n",
              "      <th>Indie Movie Theater</th>\n",
              "      <th>Indonesian Restaurant</th>\n",
              "      <th>Insurance Office</th>\n",
              "      <th>Intersection</th>\n",
              "      <th>Irish Pub</th>\n",
              "      <th>Italian Restaurant</th>\n",
              "      <th>Japanese Restaurant</th>\n",
              "      <th>Jazz Club</th>\n",
              "      <th>Jewelry Store</th>\n",
              "      <th>Jewish Restaurant</th>\n",
              "      <th>Juice Bar</th>\n",
              "      <th>Karaoke Bar</th>\n",
              "      <th>Kitchen Supply Store</th>\n",
              "      <th>Korean Restaurant</th>\n",
              "      <th>Latin American Restaurant</th>\n",
              "      <th>Leather Goods Store</th>\n",
              "      <th>Library</th>\n",
              "      <th>Light Rail Station</th>\n",
              "      <th>Lingerie Store</th>\n",
              "      <th>Liquor Store</th>\n",
              "      <th>Lounge</th>\n",
              "      <th>Mac &amp; Cheese Joint</th>\n",
              "      <th>Malay Restaurant</th>\n",
              "      <th>Market</th>\n",
              "      <th>Martial Arts Dojo</th>\n",
              "      <th>Massage Studio</th>\n",
              "      <th>Mattress Store</th>\n",
              "      <th>Medical Center</th>\n",
              "      <th>Mediterranean Restaurant</th>\n",
              "      <th>Men's Store</th>\n",
              "      <th>Metro Station</th>\n",
              "      <th>Mexican Restaurant</th>\n",
              "      <th>Middle Eastern Restaurant</th>\n",
              "      <th>Miscellaneous Shop</th>\n",
              "      <th>Mobile Phone Shop</th>\n",
              "      <th>Modern European Restaurant</th>\n",
              "      <th>Molecular Gastronomy Restaurant</th>\n",
              "      <th>Monument / Landmark</th>\n",
              "      <th>Motorcycle Shop</th>\n",
              "      <th>Movie Theater</th>\n",
              "      <th>Moving Target</th>\n",
              "      <th>Museum</th>\n",
              "      <th>Music School</th>\n",
              "      <th>Music Store</th>\n",
              "      <th>Music Venue</th>\n",
              "      <th>Nail Salon</th>\n",
              "      <th>Neighborhood</th>\n",
              "      <th>New American Restaurant</th>\n",
              "      <th>Nightclub</th>\n",
              "      <th>Noodle House</th>\n",
              "      <th>North Indian Restaurant</th>\n",
              "      <th>Office</th>\n",
              "      <th>Opera House</th>\n",
              "      <th>Optical Shop</th>\n",
              "      <th>Organic Grocery</th>\n",
              "      <th>Other Great Outdoors</th>\n",
              "      <th>Paintball Field</th>\n",
              "      <th>Paper / Office Supplies Store</th>\n",
              "      <th>Park</th>\n",
              "      <th>Performing Arts Venue</th>\n",
              "      <th>Peruvian Restaurant</th>\n",
              "      <th>Pet Store</th>\n",
              "      <th>Pharmacy</th>\n",
              "      <th>Pie Shop</th>\n",
              "      <th>Pilates Studio</th>\n",
              "      <th>Pizza Place</th>\n",
              "      <th>Platform</th>\n",
              "      <th>Playground</th>\n",
              "      <th>Plaza</th>\n",
              "      <th>Poke Place</th>\n",
              "      <th>Pool</th>\n",
              "      <th>Pool Hall</th>\n",
              "      <th>Portuguese Restaurant</th>\n",
              "      <th>Post Office</th>\n",
              "      <th>Poutine Place</th>\n",
              "      <th>Print Shop</th>\n",
              "      <th>Pub</th>\n",
              "      <th>Racetrack</th>\n",
              "      <th>Ramen Restaurant</th>\n",
              "      <th>Record Shop</th>\n",
              "      <th>Rental Car Location</th>\n",
              "      <th>Residential Building (Apartment / Condo)</th>\n",
              "      <th>Restaurant</th>\n",
              "      <th>River</th>\n",
              "      <th>Road</th>\n",
              "      <th>Rock Climbing Spot</th>\n",
              "      <th>Rock Club</th>\n",
              "      <th>Roof Deck</th>\n",
              "      <th>Sake Bar</th>\n",
              "      <th>Salad Place</th>\n",
              "      <th>Salon / Barbershop</th>\n",
              "      <th>Sandwich Place</th>\n",
              "      <th>Scenic Lookout</th>\n",
              "      <th>School</th>\n",
              "      <th>Sculpture Garden</th>\n",
              "      <th>Seafood Restaurant</th>\n",
              "      <th>Shipping Store</th>\n",
              "      <th>Shoe Store</th>\n",
              "      <th>Shop &amp; Service</th>\n",
              "      <th>Shopping Mall</th>\n",
              "      <th>Shopping Plaza</th>\n",
              "      <th>Skate Park</th>\n",
              "      <th>Skating Rink</th>\n",
              "      <th>Smoke Shop</th>\n",
              "      <th>Smoothie Shop</th>\n",
              "      <th>Snack Place</th>\n",
              "      <th>Soccer Field</th>\n",
              "      <th>Soccer Stadium</th>\n",
              "      <th>Social Club</th>\n",
              "      <th>Soup Place</th>\n",
              "      <th>Souvlaki Shop</th>\n",
              "      <th>Spa</th>\n",
              "      <th>Spanish Restaurant</th>\n",
              "      <th>Speakeasy</th>\n",
              "      <th>Sporting Goods Shop</th>\n",
              "      <th>Sports Bar</th>\n",
              "      <th>Sports Club</th>\n",
              "      <th>Sri Lankan Restaurant</th>\n",
              "      <th>Stadium</th>\n",
              "      <th>Steakhouse</th>\n",
              "      <th>Street Art</th>\n",
              "      <th>Supermarket</th>\n",
              "      <th>Supplement Shop</th>\n",
              "      <th>Sushi Restaurant</th>\n",
              "      <th>Taco Place</th>\n",
              "      <th>Tailor Shop</th>\n",
              "      <th>Taiwanese Restaurant</th>\n",
              "      <th>Tanning Salon</th>\n",
              "      <th>Tapas Restaurant</th>\n",
              "      <th>Tea Room</th>\n",
              "      <th>Tech Startup</th>\n",
              "      <th>Tennis Court</th>\n",
              "      <th>Thai Restaurant</th>\n",
              "      <th>Theater</th>\n",
              "      <th>Theme Park</th>\n",
              "      <th>Theme Restaurant</th>\n",
              "      <th>Thrift / Vintage Store</th>\n",
              "      <th>Tibetan Restaurant</th>\n",
              "      <th>Toy / Game Store</th>\n",
              "      <th>Track</th>\n",
              "      <th>Trail</th>\n",
              "      <th>Train Station</th>\n",
              "      <th>Tram Station</th>\n",
              "      <th>Udon Restaurant</th>\n",
              "      <th>University</th>\n",
              "      <th>Vegetarian / Vegan Restaurant</th>\n",
              "      <th>Video Game Store</th>\n",
              "      <th>Video Store</th>\n",
              "      <th>Vietnamese Restaurant</th>\n",
              "      <th>Warehouse Store</th>\n",
              "      <th>Wine Bar</th>\n",
              "      <th>Wine Shop</th>\n",
              "      <th>Wings Joint</th>\n",
              "      <th>Women's Store</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Malvern, Rouge</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",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <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",
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              "      <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>0</td>\n",
              "      <td>1</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
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              "      <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>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
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              "      <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>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",
              "      <td>0</td>\n",
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              "      <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>0</td>\n",
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              "      <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>0</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Malvern, Rouge</td>\n",
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              "      <td>0</td>\n",
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              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Yoga Studio  Accessories Store  Afghan Restaurant  African Restaurant  \\\n",
              "0            0                  0                  0                   0   \n",
              "1            0                  0                  0                   0   \n",
              "2            0                  0                  0                   0   \n",
              "3            0                  0                  0                   0   \n",
              "4            0                  0                  0                   0   \n",
              "\n",
              "   Airport  American Restaurant  Antique Shop  Aquarium  Arcade  Art Gallery  \\\n",
              "0        0                    0             0         0       0            0   \n",
              "1        0                    0             0         0       0            0   \n",
              "2        0                    0             0         0       0            0   \n",
              "3        0                    0             0         0       0            0   \n",
              "4        0                    0             0         0       0            0   \n",
              "\n",
              "   Art Museum  Arts & Crafts Store  Asian Restaurant  Athletics & Sports  \\\n",
              "0           0                    0                 0                   0   \n",
              "1           0                    0                 0                   0   \n",
              "2           0                    0                 0                   0   \n",
              "3           0                    0                 0                   0   \n",
              "4           0                    0                 0                   0   \n",
              "\n",
              "   Auto Dealership  Auto Workshop  BBQ Joint  Baby Store  Badminton Court  \\\n",
              "0                0              0          0           0                0   \n",
              "1                0              0          0           0                0   \n",
              "2                0              0          0           0                0   \n",
              "3                0              0          0           0                0   \n",
              "4                0              0          0           0                0   \n",
              "\n",
              "   Bagel Shop  Bakery  Bank  Bar  Baseball Field  Baseball Stadium  \\\n",
              "0           0       0     0    0               0                 0   \n",
              "1           0       0     0    0               0                 0   \n",
              "2           0       0     0    1               0                 0   \n",
              "3           0       0     0    0               0                 0   \n",
              "4           0       0     0    0               0                 0   \n",
              "\n",
              "   Basketball Stadium  Beach  Beach Bar  Beer Bar  Beer Store  \\\n",
              "0                   0      0          0         0           0   \n",
              "1                   0      0          0         0           0   \n",
              "2                   0      0          0         0           0   \n",
              "3                   0      0          0         0           0   \n",
              "4                   0      0          0         0           0   \n",
              "\n",
              "   Belgian Restaurant  Big Box Store  Bike Shop  Bistro  Bookstore  \\\n",
              "0                   0              0          0       0          0   \n",
              "1                   0              0          0       0          0   \n",
              "2                   0              0          0       0          0   \n",
              "3                   0              0          0       0          0   \n",
              "4                   0              0          0       0          0   \n",
              "\n",
              "   Botanical Garden  Boutique  Brazilian Restaurant  Breakfast Spot  Brewery  \\\n",
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              "1                 0         0                     0               0        0   \n",
              "2                 0         0                     0               0        0   \n",
              "3                 0         0                     0               0        0   \n",
              "4                 0         0                     0               0        0   \n",
              "\n",
              "   Bridal Shop  Bridge  Bubble Tea Shop  Buffet  Building  Burger Joint  \\\n",
              "0            0       0                0       0         0             0   \n",
              "1            0       0                0       0         0             0   \n",
              "2            0       0                0       0         0             0   \n",
              "3            0       0                0       0         0             0   \n",
              "4            0       0                0       0         0             0   \n",
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              "   Burrito Place  Bus Line  Bus Station  Bus Stop  Business Service  Butcher  \\\n",
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              "1              0         0            0         0                 0        0   \n",
              "2              0         0            0         0                 0        0   \n",
              "3              0         0            0         0                 0        0   \n",
              "4              0         0            0         0                 0        0   \n",
              "\n",
              "   Cafeteria  Café  Camera Store  Candy Store  Cantonese Restaurant  \\\n",
              "0          0     0             0            0                     0   \n",
              "1          0     0             0            0                     0   \n",
              "2          0     0             0            0                     0   \n",
              "3          0     0             0            0                     0   \n",
              "4          0     0             0            0                     0   \n",
              "\n",
              "   Caribbean Restaurant  Castle  Cemetery  Cheese Shop  Chinese Restaurant  \\\n",
              "0                     0       0         0            0                   0   \n",
              "1                     0       0         0            0                   0   \n",
              "2                     0       0         0            0                   0   \n",
              "3                     0       0         0            0                   0   \n",
              "4                     0       0         0            0                   0   \n",
              "\n",
              "   Chiropractor  Chocolate Shop  Church  Circus  Clothing Store  Cocktail Bar  \\\n",
              "0             0               0       0       0               0             0   \n",
              "1             0               0       0       0               0             0   \n",
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              "3             0               0       0       0               0             0   \n",
              "4             0               0       0       0               0             0   \n",
              "\n",
              "   Coffee Shop  College Arts Building  College Auditorium  College Gym  \\\n",
              "0            0                      0                   0            0   \n",
              "1            0                      0                   0            0   \n",
              "2            0                      0                   0            0   \n",
              "3            0                      0                   0            0   \n",
              "4            0                      0                   0            0   \n",
              "\n",
              "   College Quad  College Rec Center  College Stadium  College Theater  \\\n",
              "0             0                   0                0                0   \n",
              "1             0                   0                0                0   \n",
              "2             0                   0                0                0   \n",
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              "\n",
              "   Comedy Club  Comfort Food Restaurant  Comic Shop  Community Center  \\\n",
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              "   Cosmetics Shop  Creperie  Cuban Restaurant  Cupcake Shop  Dance Studio  \\\n",
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              "1               0         0                 0             0             0   \n",
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              "\n",
              "   Deli / Bodega  Dentist's Office  Department Store  Design Studio  \\\n",
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              "1              0                 0                 0              0   \n",
              "2              0                 0                 0              0   \n",
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              "\n",
              "   Dessert Shop  Dim Sum Restaurant  Diner  Discount Store  \\\n",
              "0             0                   0      0               0   \n",
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              "   Distribution Center  Dive Bar  Dog Run  Doner Restaurant  Donut Shop  \\\n",
              "0                    0         0        0                 0           0   \n",
              "1                    0         0        0                 0           0   \n",
              "2                    0         0        0                 0           0   \n",
              "3                    0         0        0                 0           0   \n",
              "4                    0         0        0                 0           0   \n",
              "\n",
              "   Dumpling Restaurant  Eastern European Restaurant  Electronics Store  \\\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",
              "   Ethiopian Restaurant  Falafel Restaurant  Farm  Farmers Market  \\\n",
              "0                     0                   0     0               0   \n",
              "1                     0                   0     0               0   \n",
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              "4                     0                   0     0               0   \n",
              "\n",
              "   Fast Food Restaurant  Field  Filipino Restaurant  Fish & Chips Shop  \\\n",
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              "1                     0      0                    0                  0   \n",
              "2                     0      0                    0                  0   \n",
              "3                     0      0                    0                  0   \n",
              "4                     0      0                    0                  1   \n",
              "\n",
              "   Fish Market  Flea Market  Flower Shop  Food & Drink Shop  Food Court  \\\n",
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              "1            0            0            0                  0           0   \n",
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              "3            0            0            0                  0           0   \n",
              "4            0            0            0                  0           0   \n",
              "\n",
              "   Food Truck  Fountain  French Restaurant  Fried Chicken Joint  \\\n",
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              "\n",
              "   Frozen Yogurt Shop  Furniture / Home Store  Gaming Cafe  Garden  \\\n",
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              "1                   0                       0            0       0   \n",
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              "\n",
              "   Garden Center  Gas Station  Gastropub  Gay Bar  General Entertainment  \\\n",
              "0              0            0          0        0                      0   \n",
              "1              0            0          0        0                      0   \n",
              "2              0            0          0        0                      0   \n",
              "3              0            0          0        0                      0   \n",
              "4              0            0          0        0                      0   \n",
              "\n",
              "   General Travel  German Restaurant  Gift Shop  Golf Course  \\\n",
              "0               0                  0          0            0   \n",
              "1               0                  0          0            0   \n",
              "2               0                  0          0            0   \n",
              "3               0                  0          0            0   \n",
              "4               0                  0          0            0   \n",
              "\n",
              "   Golf Driving Range  Gourmet Shop  Government Building  Greek Restaurant  \\\n",
              "0                   0             0                    0                 0   \n",
              "1                   0             0                    0                 0   \n",
              "2                   0             0                    0                 0   \n",
              "3                   0             0                    0                 0   \n",
              "4                   0             0                    0                 0   \n",
              "\n",
              "   Grocery Store  Gym  Gym / Fitness Center  Gym Pool  Hakka Restaurant  \\\n",
              "0              0    0                     0         0                 0   \n",
              "1              0    0                     0         0                 0   \n",
              "2              0    0                     0         0                 0   \n",
              "3              0    0                     0         0                 0   \n",
              "4              0    0                     0         0                 0   \n",
              "\n",
              "   Harbor / Marina  Hardware Store  Hawaiian Restaurant  \\\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",
              "   Health & Beauty Service  Health Food Store  Historic Site  History Museum  \\\n",
              "0                        0                  0              0               0   \n",
              "1                        0                  0              0               0   \n",
              "2                        0                  0              0               0   \n",
              "3                        0                  0              0               0   \n",
              "4                        0                  0              0               0   \n",
              "\n",
              "   Hobby Shop  Hockey Arena  Home Service  Hookah Bar  Hostel  Hotel  \\\n",
              "0           0             0             0           0       0      0   \n",
              "1           0             0             0           0       0      0   \n",
              "2           0             0             0           0       0      0   \n",
              "3           0             0             0           0       0      0   \n",
              "4           0             0             0           0       0      0   \n",
              "\n",
              "   Hotel Bar  Housing Development  IT Services  Ice Cream Shop  \\\n",
              "0          0                    0            0               0   \n",
              "1          0                    0            0               0   \n",
              "2          0                    0            0               0   \n",
              "3          0                    0            0               0   \n",
              "4          0                    0            0               0   \n",
              "\n",
              "   Indian Chinese Restaurant  Indian Restaurant  Indie Movie Theater  \\\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",
              "   Indonesian Restaurant  Insurance Office  Intersection  Irish Pub  \\\n",
              "0                      0                 0             0          0   \n",
              "1                      0                 0             0          0   \n",
              "2                      0                 0             0          0   \n",
              "3                      0                 0             0          0   \n",
              "4                      0                 0             0          0   \n",
              "\n",
              "   Italian Restaurant  Japanese Restaurant  Jazz Club  Jewelry Store  \\\n",
              "0                   0                    0          0              0   \n",
              "1                   0                    0          0              0   \n",
              "2                   0                    0          0              0   \n",
              "3                   0                    0          0              0   \n",
              "4                   0                    0          0              0   \n",
              "\n",
              "   Jewish Restaurant  Juice Bar  Karaoke Bar  Kitchen Supply Store  \\\n",
              "0                  0          0            0                     0   \n",
              "1                  0          0            0                     0   \n",
              "2                  0          0            0                     0   \n",
              "3                  0          0            0                     0   \n",
              "4                  0          0            0                     0   \n",
              "\n",
              "   Korean Restaurant  Latin American Restaurant  Leather Goods Store  Library  \\\n",
              "0                  0                          0                    0        0   \n",
              "1                  0                          0                    0        0   \n",
              "2                  0                          0                    0        0   \n",
              "3                  0                          0                    0        0   \n",
              "4                  0                          0                    0        0   \n",
              "\n",
              "   Light Rail Station  Lingerie Store  Liquor Store  Lounge  \\\n",
              "0                   0               0             0       0   \n",
              "1                   0               0             0       0   \n",
              "2                   0               0             0       0   \n",
              "3                   0               0             0       0   \n",
              "4                   0               0             0       0   \n",
              "\n",
              "   Mac & Cheese Joint  Malay Restaurant  Market  Martial Arts Dojo  \\\n",
              "0                   0                 0       0                  0   \n",
              "1                   0                 0       0                  0   \n",
              "2                   0                 0       0                  0   \n",
              "3                   0                 0       0                  0   \n",
              "4                   0                 0       0                  0   \n",
              "\n",
              "   Massage Studio  Mattress Store  Medical Center  Mediterranean Restaurant  \\\n",
              "0               0               0               0                         0   \n",
              "1               0               0               0                         0   \n",
              "2               0               0               0                         0   \n",
              "3               0               0               0                         0   \n",
              "4               0               0               0                         0   \n",
              "\n",
              "   Men's Store  Metro Station  Mexican Restaurant  Middle Eastern Restaurant  \\\n",
              "0            0              0                   0                          0   \n",
              "1            0              0                   0                          0   \n",
              "2            0              0                   0                          0   \n",
              "3            0              0                   0                          0   \n",
              "4            0              0                   0                          0   \n",
              "\n",
              "   Miscellaneous Shop  Mobile Phone Shop  Modern European Restaurant  \\\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",
              "   Molecular Gastronomy Restaurant  Monument / Landmark  Motorcycle Shop  \\\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",
              "   Movie Theater  Moving Target  Museum  Music School  Music Store  \\\n",
              "0              0              0       0             0            0   \n",
              "1              0              0       0             0            0   \n",
              "2              0              0       0             0            0   \n",
              "3              0              0       0             0            0   \n",
              "4              0              0       0             0            0   \n",
              "\n",
              "   Music Venue  Nail Salon                            Neighborhood  \\\n",
              "0            0           0                          Malvern, Rouge   \n",
              "1            0           0                          Malvern, Rouge   \n",
              "2            0           0  Rouge Hill, Port Union, Highland Creek   \n",
              "3            0           0  Rouge Hill, Port Union, Highland Creek   \n",
              "4            0           0  Rouge Hill, Port Union, Highland Creek   \n",
              "\n",
              "   New American Restaurant  Nightclub  Noodle House  North Indian Restaurant  \\\n",
              "0                        0          0             0                        0   \n",
              "1                        0          0             0                        0   \n",
              "2                        0          0             0                        0   \n",
              "3                        0          0             0                        0   \n",
              "4                        0          0             0                        0   \n",
              "\n",
              "   Office  Opera House  Optical Shop  Organic Grocery  Other Great Outdoors  \\\n",
              "0       0            0             0                0                     0   \n",
              "1       0            0             0                0                     0   \n",
              "2       0            0             0                0                     0   \n",
              "3       0            0             0                0                     0   \n",
              "4       0            0             0                0                     0   \n",
              "\n",
              "   Paintball Field  Paper / Office Supplies Store  Park  \\\n",
              "0                0                              0     0   \n",
              "1                0                              0     1   \n",
              "2                0                              0     0   \n",
              "3                0                              0     0   \n",
              "4                0                              0     0   \n",
              "\n",
              "   Performing Arts Venue  Peruvian Restaurant  Pet Store  Pharmacy  Pie Shop  \\\n",
              "0                      0                    0          0         0         0   \n",
              "1                      0                    0          0         0         0   \n",
              "2                      0                    0          0         0         0   \n",
              "3                      0                    0          0         0         0   \n",
              "4                      0                    0          0         0         0   \n",
              "\n",
              "   Pilates Studio  Pizza Place  Platform  Playground  Plaza  Poke Place  Pool  \\\n",
              "0               0            0         0           0      0           0     0   \n",
              "1               0            0         0           0      0           0     0   \n",
              "2               0            0         0           0      0           0     0   \n",
              "3               0            0         0           0      0           0     0   \n",
              "4               0            0         0           0      0           0     0   \n",
              "\n",
              "   Pool Hall  Portuguese Restaurant  Post Office  Poutine Place  Print Shop  \\\n",
              "0          0                      0            0              0           0   \n",
              "1          0                      0            0              0           0   \n",
              "2          0                      0            0              0           0   \n",
              "3          0                      0            0              0           0   \n",
              "4          0                      0            0              0           0   \n",
              "\n",
              "   Pub  Racetrack  Ramen Restaurant  Record Shop  Rental Car Location  \\\n",
              "0    0          0                 0            0                    0   \n",
              "1    0          0                 0            0                    0   \n",
              "2    0          0                 0            0                    0   \n",
              "3    0          0                 0            0                    0   \n",
              "4    0          0                 0            0                    0   \n",
              "\n",
              "   Residential Building (Apartment / Condo)  Restaurant  River  Road  \\\n",
              "0                                         0           0      0     0   \n",
              "1                                         0           0      0     0   \n",
              "2                                         0           0      0     0   \n",
              "3                                         0           0      0     0   \n",
              "4                                         0           0      0     0   \n",
              "\n",
              "   Rock Climbing Spot  Rock Club  Roof Deck  Sake Bar  Salad Place  \\\n",
              "0                   0          0          0         0            0   \n",
              "1                   0          0          0         0            0   \n",
              "2                   0          0          0         0            0   \n",
              "3                   0          0          0         0            0   \n",
              "4                   0          0          0         0            0   \n",
              "\n",
              "   Salon / Barbershop  Sandwich Place  Scenic Lookout  School  \\\n",
              "0                   0               0               0       0   \n",
              "1                   0               0               0       0   \n",
              "2                   0               0               0       0   \n",
              "3                   0               0               0       0   \n",
              "4                   0               0               0       0   \n",
              "\n",
              "   Sculpture Garden  Seafood Restaurant  Shipping Store  Shoe Store  \\\n",
              "0                 0                   0               0           0   \n",
              "1                 0                   0               0           0   \n",
              "2                 0                   0               0           0   \n",
              "3                 0                   0               0           0   \n",
              "4                 0                   0               0           0   \n",
              "\n",
              "   Shop & Service  Shopping Mall  Shopping Plaza  Skate Park  Skating Rink  \\\n",
              "0               0              0               0           0             0   \n",
              "1               0              0               0           0             0   \n",
              "2               0              0               0           0             0   \n",
              "3               0              0               0           0             0   \n",
              "4               0              0               0           0             0   \n",
              "\n",
              "   Smoke Shop  Smoothie Shop  Snack Place  Soccer Field  Soccer Stadium  \\\n",
              "0           0              0            0             0               0   \n",
              "1           0              0            0             0               0   \n",
              "2           0              0            0             0               0   \n",
              "3           0              0            0             0               0   \n",
              "4           0              0            0             0               0   \n",
              "\n",
              "   Social Club  Soup Place  Souvlaki Shop  Spa  Spanish Restaurant  Speakeasy  \\\n",
              "0            0           0              0    0                   0          0   \n",
              "1            0           0              0    0                   0          0   \n",
              "2            0           0              0    0                   0          0   \n",
              "3            0           0              0    0                   0          0   \n",
              "4            0           0              0    0                   0          0   \n",
              "\n",
              "   Sporting Goods Shop  Sports Bar  Sports Club  Sri Lankan Restaurant  \\\n",
              "0                    0           0            0                      0   \n",
              "1                    0           0            0                      0   \n",
              "2                    0           0            0                      0   \n",
              "3                    0           0            0                      0   \n",
              "4                    0           0            0                      0   \n",
              "\n",
              "   Stadium  Steakhouse  Street Art  Supermarket  Supplement Shop  \\\n",
              "0        0           0           0            0                0   \n",
              "1        0           0           0            0                0   \n",
              "2        0           0           0            0                0   \n",
              "3        0           0           0            0                0   \n",
              "4        0           0           0            0                0   \n",
              "\n",
              "   Sushi Restaurant  Taco Place  Tailor Shop  Taiwanese Restaurant  \\\n",
              "0                 0           0            0                     0   \n",
              "1                 0           0            0                     0   \n",
              "2                 0           0            0                     0   \n",
              "3                 0           0            0                     0   \n",
              "4                 0           0            0                     0   \n",
              "\n",
              "   Tanning Salon  Tapas Restaurant  Tea Room  Tech Startup  Tennis Court  \\\n",
              "0              0                 0         0             0             0   \n",
              "1              0                 0         0             0             0   \n",
              "2              0                 0         0             0             0   \n",
              "3              0                 0         0             0             0   \n",
              "4              0                 0         0             0             0   \n",
              "\n",
              "   Thai Restaurant  Theater  Theme Park  Theme Restaurant  \\\n",
              "0                0        0           0                 0   \n",
              "1                0        0           0                 0   \n",
              "2                0        0           0                 0   \n",
              "3                0        0           0                 0   \n",
              "4                0        0           0                 0   \n",
              "\n",
              "   Thrift / Vintage Store  Tibetan Restaurant  Toy / Game Store  Track  Trail  \\\n",
              "0                       0                   0                 0      0      1   \n",
              "1                       0                   0                 0      0      0   \n",
              "2                       0                   0                 0      0      0   \n",
              "3                       0                   0                 0      0      0   \n",
              "4                       0                   0                 0      0      0   \n",
              "\n",
              "   Train Station  Tram Station  Udon Restaurant  University  \\\n",
              "0              0             0                0           0   \n",
              "1              0             0                0           0   \n",
              "2              0             0                0           0   \n",
              "3              0             0                0           0   \n",
              "4              0             0                0           0   \n",
              "\n",
              "   Vegetarian / Vegan Restaurant  Video Game Store  Video Store  \\\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",
              "   Vietnamese Restaurant  Warehouse Store  Wine Bar  Wine Shop  Wings Joint  \\\n",
              "0                      0                0         0          0            0   \n",
              "1                      0                0         0          0            0   \n",
              "2                      0                0         0          0            0   \n",
              "3                      0                0         0          0            0   \n",
              "4                      0                0         0          0            0   \n",
              "\n",
              "   Women's Store  \n",
              "0              0  \n",
              "1              0  \n",
              "2              0  \n",
              "3              0  \n",
              "4              0  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U-Smvxx5dpnN",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "d600d7c3-88eb-420b-c9ed-ef9b3cdd73d0"
      },
      "source": [
        "num_top_venues = 5\n",
        "for hood in Scarborough_grouped['Neighborhood']:\n",
        "    print(\"---- \"+hood+\" ----\")\n",
        "    temp =Scarborough_grouped[Scarborough_grouped['Neighborhood'] == hood].T.reset_index()\n",
        "    temp.columns = ['venue','freq']\n",
        "    temp = temp.iloc[1:]\n",
        "    temp['freq'] = temp['freq'].astype(float)\n",
        "    temp = temp.round({'freq': 2})\n",
        "    print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))\n",
        "    print('\\n')"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "---- Agincourt ----\n",
            "                      venue  freq\n",
            "0        Chinese Restaurant  0.07\n",
            "1             Shopping Mall  0.07\n",
            "2          Malay Restaurant  0.04\n",
            "3                  Pharmacy  0.04\n",
            "4  Mediterranean Restaurant  0.04\n",
            "\n",
            "\n",
            "---- Alderwood, Long Branch ----\n",
            "               venue  freq\n",
            "0                Pub   0.1\n",
            "1  Convenience Store   0.1\n",
            "2                Gym   0.1\n",
            "3       Dance Studio   0.1\n",
            "4        Gas Station   0.1\n",
            "\n",
            "\n",
            "---- Bathurst Manor, Wilson Heights, Downsview North ----\n",
            "            venue  freq\n",
            "0            Bank  0.08\n",
            "1     Coffee Shop  0.08\n",
            "2  Sandwich Place  0.04\n",
            "3           Trail  0.04\n",
            "4     Men's Store  0.04\n",
            "\n",
            "\n",
            "---- Bayview Village ----\n",
            "                        venue  freq\n",
            "0                        Park   0.6\n",
            "1  Construction & Landscaping   0.2\n",
            "2                       Trail   0.2\n",
            "3     New American Restaurant   0.0\n",
            "4                Optical Shop   0.0\n",
            "\n",
            "\n",
            "---- Bedford Park, Lawrence Manor East ----\n",
            "                     venue  freq\n",
            "0               Restaurant  0.08\n",
            "1           Sandwich Place  0.08\n",
            "2              Coffee Shop  0.08\n",
            "3       Italian Restaurant  0.08\n",
            "4  Comfort Food Restaurant  0.04\n",
            "\n",
            "\n",
            "---- Berczy Park ----\n",
            "                 venue  freq\n",
            "0          Coffee Shop  0.09\n",
            "1                 Café  0.05\n",
            "2  Japanese Restaurant  0.05\n",
            "3                Hotel  0.05\n",
            "4           Restaurant  0.04\n",
            "\n",
            "\n",
            "---- Birch Cliff, Cliffside West ----\n",
            "                   venue  freq\n",
            "0                    Gym  0.14\n",
            "1  General Entertainment  0.14\n",
            "2      Convenience Store  0.14\n",
            "3                   Park  0.14\n",
            "4        College Stadium  0.14\n",
            "\n",
            "\n",
            "---- Brockton, Parkdale Village, Exhibition Place ----\n",
            "                venue  freq\n",
            "0                Café  0.09\n",
            "1          Restaurant  0.05\n",
            "2                 Bar  0.05\n",
            "3           Gift Shop  0.03\n",
            "4  Tibetan Restaurant  0.03\n",
            "\n",
            "\n",
            "---- Business reply mail Processing Centre, South Central Letter Processing Plant Toronto ----\n",
            "                    venue  freq\n",
            "0             Coffee Shop  0.11\n",
            "1                    Café  0.06\n",
            "2                   Hotel  0.06\n",
            "3     Japanese Restaurant  0.03\n",
            "4  Furniture / Home Store  0.02\n",
            "\n",
            "\n",
            "---- CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport ----\n",
            "                 venue  freq\n",
            "0          Coffee Shop  0.10\n",
            "1                  Gym  0.08\n",
            "2  Japanese Restaurant  0.05\n",
            "3           Restaurant  0.04\n",
            "4       Sandwich Place  0.04\n",
            "\n",
            "\n",
            "---- Caledonia-Fairbanks ----\n",
            "                venue  freq\n",
            "0                Park  0.22\n",
            "1       Women's Store  0.11\n",
            "2  Mexican Restaurant  0.11\n",
            "3            Bus Stop  0.11\n",
            "4          Beer Store  0.11\n",
            "\n",
            "\n",
            "---- Canada Post Gateway Processing Centre ----\n",
            "                 venue  freq\n",
            "0          Coffee Shop  0.12\n",
            "1                Hotel  0.06\n",
            "2                 Café  0.06\n",
            "3  Japanese Restaurant  0.03\n",
            "4           Restaurant  0.02\n",
            "\n",
            "\n",
            "---- Cedarbrae ----\n",
            "                venue  freq\n",
            "0                Bank   0.2\n",
            "1         Gas Station   0.2\n",
            "2    Hakka Restaurant   0.2\n",
            "3  Athletics & Sports   0.2\n",
            "4     Thai Restaurant   0.2\n",
            "\n",
            "\n",
            "---- Central Bay Street ----\n",
            "              venue  freq\n",
            "0       Coffee Shop  0.13\n",
            "1    Clothing Store  0.05\n",
            "2              Café  0.04\n",
            "3   Bubble Tea Shop  0.03\n",
            "4  Ramen Restaurant  0.03\n",
            "\n",
            "\n",
            "---- Christie ----\n",
            "               venue  freq\n",
            "0  Korean Restaurant  0.17\n",
            "1      Grocery Store  0.11\n",
            "2        Coffee Shop  0.05\n",
            "3               Park  0.04\n",
            "4        Pizza Place  0.04\n",
            "\n",
            "\n",
            "---- Church and Wellesley ----\n",
            "                 venue  freq\n",
            "0          Coffee Shop  0.08\n",
            "1     Sushi Restaurant  0.04\n",
            "2  Japanese Restaurant  0.03\n",
            "3         Burger Joint  0.03\n",
            "4           Restaurant  0.03\n",
            "\n",
            "\n",
            "---- Clarks Corners, Tam O'Shanter, Sullivan ----\n",
            "                venue  freq\n",
            "0         Pizza Place  0.10\n",
            "1         Coffee Shop  0.10\n",
            "2            Pharmacy  0.10\n",
            "3     Thai Restaurant  0.05\n",
            "4  Chinese Restaurant  0.05\n",
            "\n",
            "\n",
            "---- Cliffside, Cliffcrest, Scarborough Village West ----\n",
            "            venue  freq\n",
            "0  Ice Cream Shop  0.18\n",
            "1     Pizza Place  0.09\n",
            "2    Burger Joint  0.09\n",
            "3          Bistro  0.09\n",
            "4    Liquor Store  0.09\n",
            "\n",
            "\n",
            "---- Commerce Court, Victoria Hotel ----\n",
            "                 venue  freq\n",
            "0          Coffee Shop  0.11\n",
            "1                 Café  0.06\n",
            "2           Restaurant  0.04\n",
            "3  American Restaurant  0.04\n",
            "4   Seafood Restaurant  0.04\n",
            "\n",
            "\n",
            "---- Davisville ----\n",
            "                venue  freq\n",
            "0        Dessert Shop  0.08\n",
            "1         Coffee Shop  0.08\n",
            "2  Italian Restaurant  0.05\n",
            "3                Café  0.05\n",
            "4    Sushi Restaurant  0.05\n",
            "\n",
            "\n",
            "---- Davisville North ----\n",
            "              venue  freq\n",
            "0              Park  0.12\n",
            "1       Pizza Place  0.12\n",
            "2               Gym  0.06\n",
            "3    Breakfast Spot  0.06\n",
            "4  Greek Restaurant  0.06\n",
            "\n",
            "\n",
            "---- Del Ray, Mount Dennis, Keelsdale and Silverthorn ----\n",
            "                        venue  freq\n",
            "0  Construction & Landscaping  0.29\n",
            "1                  Playground  0.14\n",
            "2        Fast Food Restaurant  0.14\n",
            "3     Health & Beauty Service  0.14\n",
            "4                 Coffee Shop  0.14\n",
            "\n",
            "\n",
            "---- Don Mills ----\n",
            "                        venue  freq\n",
            "0                 Coffee Shop  0.10\n",
            "1          Athletics & Sports  0.07\n",
            "2                        Bank  0.07\n",
            "3  Construction & Landscaping  0.03\n",
            "4        Other Great Outdoors  0.03\n",
            "\n",
            "\n",
            "---- Dorset Park, Wexford Heights, Scarborough Town Centre ----\n",
            "                     venue  freq\n",
            "0                   Bakery  0.25\n",
            "1                Gift Shop  0.25\n",
            "2              Coffee Shop  0.25\n",
            "3       Chinese Restaurant  0.25\n",
            "4  North Indian Restaurant  0.00\n",
            "\n",
            "\n",
            "---- Downsview ----\n",
            "           venue  freq\n",
            "0    Coffee Shop  0.08\n",
            "1           Park  0.08\n",
            "2  Grocery Store  0.05\n",
            "3    Pizza Place  0.05\n",
            "4          Hotel  0.05\n",
            "\n",
            "\n",
            "---- Dufferin, Dovercourt Village ----\n",
            "          venue  freq\n",
            "0           Bar  0.11\n",
            "1        Bakery  0.09\n",
            "2   Coffee Shop  0.09\n",
            "3  Cocktail Bar  0.04\n",
            "4         Diner  0.04\n",
            "\n",
            "\n",
            "---- East Toronto, Broadview North (Old East York) ----\n",
            "                  venue  freq\n",
            "0                  Café  0.13\n",
            "1  Ethiopian Restaurant  0.09\n",
            "2   American Restaurant  0.09\n",
            "3           Coffee Shop  0.09\n",
            "4       Thai Restaurant  0.04\n",
            "\n",
            "\n",
            "---- Eringate, Bloordale Gardens, Old Burnhamthorpe, Markland Wood ----\n",
            "            venue  freq\n",
            "0    Liquor Store   0.1\n",
            "1        Pharmacy   0.1\n",
            "2  Shopping Plaza   0.1\n",
            "3      Beer Store   0.1\n",
            "4     Gas Station   0.1\n",
            "\n",
            "\n",
            "---- Fairview, Henry Farm, Oriole ----\n",
            "                  venue  freq\n",
            "0        Clothing Store  0.13\n",
            "1  Fast Food Restaurant  0.09\n",
            "2           Coffee Shop  0.07\n",
            "3                Bakery  0.04\n",
            "4         Women's Store  0.03\n",
            "\n",
            "\n",
            "---- First Canadian Place, Underground city ----\n",
            "                venue  freq\n",
            "0               Hotel  0.08\n",
            "1         Coffee Shop  0.07\n",
            "2                Café  0.06\n",
            "3  Seafood Restaurant  0.03\n",
            "4    Asian Restaurant  0.03\n",
            "\n",
            "\n",
            "---- Forest Hill North & West, Forest Hill Road Park ----\n",
            "           venue  freq\n",
            "0           Bank  0.11\n",
            "1           Park  0.11\n",
            "2    Coffee Shop  0.06\n",
            "3  Jewelry Store  0.06\n",
            "4       Pharmacy  0.06\n",
            "\n",
            "\n",
            "---- Garden District, Ryerson ----\n",
            "                 venue  freq\n",
            "0          Coffee Shop  0.08\n",
            "1       Clothing Store  0.04\n",
            "2         Burger Joint  0.03\n",
            "3      Bubble Tea Shop  0.03\n",
            "4  Japanese Restaurant  0.03\n",
            "\n",
            "\n",
            "---- Glencairn ----\n",
            "              venue  freq\n",
            "0       Pizza Place  0.17\n",
            "1     Grocery Store  0.17\n",
            "2       Gas Station  0.06\n",
            "3              Bank  0.06\n",
            "4  Sushi Restaurant  0.06\n",
            "\n",
            "\n",
            "---- Golden Mile, Clairlea, Oakridge ----\n",
            "          venue  freq\n",
            "0  Intersection  0.17\n",
            "1         Diner  0.11\n",
            "2      Bus Line  0.11\n",
            "3        Bakery  0.11\n",
            "4  Soccer Field  0.06\n",
            "\n",
            "\n",
            "---- Guildwood, Morningside, West Hill ----\n",
            "                  venue  freq\n",
            "0           Pizza Place  0.09\n",
            "1  Fast Food Restaurant  0.06\n",
            "2                  Bank  0.06\n",
            "3           Coffee Shop  0.06\n",
            "4      Greek Restaurant  0.06\n",
            "\n",
            "\n",
            "---- Harbourfront East, Union Station, Toronto Islands ----\n",
            "                  venue  freq\n",
            "0            Theme Park   0.2\n",
            "1                  Park   0.2\n",
            "2  Fast Food Restaurant   0.1\n",
            "3   American Restaurant   0.1\n",
            "4       Harbor / Marina   0.1\n",
            "\n",
            "\n",
            "---- High Park, The Junction South ----\n",
            "               venue  freq\n",
            "0  Convenience Store  0.17\n",
            "1                Bar  0.10\n",
            "2    Thai Restaurant  0.07\n",
            "3   Sushi Restaurant  0.07\n",
            "4     Sandwich Place  0.07\n",
            "\n",
            "\n",
            "---- Hillcrest Village ----\n",
            "                                      venue  freq\n",
            "0                                      Park  0.29\n",
            "1                                    Bakery  0.14\n",
            "2  Residential Building (Apartment / Condo)  0.14\n",
            "3                                  Pharmacy  0.14\n",
            "4                      Fast Food Restaurant  0.14\n",
            "\n",
            "\n",
            "---- Humber Summit ----\n",
            "                    venue  freq\n",
            "0     Arts & Crafts Store  0.25\n",
            "1                  Bakery  0.25\n",
            "2  Furniture / Home Store  0.25\n",
            "3              Hobby Shop  0.25\n",
            "4              Nail Salon  0.00\n",
            "\n",
            "\n",
            "---- Humberlea, Emery ----\n",
            "         venue  freq\n",
            "0         Park  0.25\n",
            "1         Café  0.25\n",
            "2   Playground  0.25\n",
            "3  Coffee Shop  0.25\n",
            "4  Yoga Studio  0.00\n",
            "\n",
            "\n",
            "---- Humewood-Cedarvale ----\n",
            "               venue  freq\n",
            "0  Convenience Store  0.14\n",
            "1               Park  0.14\n",
            "2     Soccer Stadium  0.14\n",
            "3      Deli / Bodega  0.14\n",
            "4              Trail  0.14\n",
            "\n",
            "\n",
            "---- India Bazaar, The Beaches West ----\n",
            "                  venue  freq\n",
            "0  Fast Food Restaurant  0.06\n",
            "1        Sandwich Place  0.06\n",
            "2     Indian Restaurant  0.06\n",
            "3             Pet Store  0.04\n",
            "4               Brewery  0.04\n",
            "\n",
            "\n",
            "---- Islington Avenue, Humber Valley Village ----\n",
            "           venue  freq\n",
            "0       Pharmacy  0.25\n",
            "1           Café  0.12\n",
            "2  Grocery Store  0.12\n",
            "3  Shopping Mall  0.12\n",
            "4           Park  0.12\n",
            "\n",
            "\n",
            "---- Kennedy Park, Ionview, East Birchmount Park ----\n",
            "               venue  freq\n",
            "0  Convenience Store  0.17\n",
            "1        Coffee Shop  0.17\n",
            "2   Department Store  0.08\n",
            "3      Grocery Store  0.08\n",
            "4     Sandwich Place  0.08\n",
            "\n",
            "\n",
            "---- Kensington Market, Chinatown, Grange Park ----\n",
            "                           venue  freq\n",
            "0                           Café  0.08\n",
            "1  Vegetarian / Vegan Restaurant  0.06\n",
            "2                    Coffee Shop  0.05\n",
            "3                            Bar  0.04\n",
            "4                    Art Gallery  0.03\n",
            "\n",
            "\n",
            "---- Kingsview Village, St. Phillips, Martin Grove Gardens, Richview Gardens ----\n",
            "                 venue  freq\n",
            "0          Coffee Shop  0.08\n",
            "1          Wings Joint  0.08\n",
            "2  Sporting Goods Shop  0.08\n",
            "3            Racetrack  0.08\n",
            "4  American Restaurant  0.08\n",
            "\n",
            "\n",
            "---- Lawrence Manor, Lawrence Heights ----\n",
            "              venue  freq\n",
            "0    Clothing Store  0.17\n",
            "1      Dessert Shop  0.05\n",
            "2        Restaurant  0.05\n",
            "3  Toy / Game Store  0.03\n",
            "4    Cosmetics Shop  0.03\n",
            "\n",
            "\n",
            "---- Lawrence Park ----\n",
            "                  venue  freq\n",
            "0  Gym / Fitness Center  0.11\n",
            "1                  Park  0.11\n",
            "2              Bus Line  0.11\n",
            "3            Restaurant  0.11\n",
            "4             Bookstore  0.11\n",
            "\n",
            "\n",
            "---- Leaside ----\n",
            "                    venue  freq\n",
            "0             Coffee Shop  0.09\n",
            "1  Furniture / Home Store  0.06\n",
            "2       Electronics Store  0.06\n",
            "3              Restaurant  0.04\n",
            "4          Sandwich Place  0.04\n",
            "\n",
            "\n",
            "---- Little Portugal, Trinity ----\n",
            "                venue  freq\n",
            "0                 Bar  0.07\n",
            "1          Restaurant  0.05\n",
            "2        Cocktail Bar  0.04\n",
            "3         Coffee Shop  0.04\n",
            "4  Italian Restaurant  0.04\n",
            "\n",
            "\n",
            "---- Malvern, Rouge ----\n",
            "                     venue  freq\n",
            "0                     Park   0.5\n",
            "1                    Trail   0.5\n",
            "2              Yoga Studio   0.0\n",
            "3  New American Restaurant   0.0\n",
            "4             Optical Shop   0.0\n",
            "\n",
            "\n",
            "---- Milliken, Agincourt North, Steeles East, L'Amoreaux East ----\n",
            "              venue  freq\n",
            "0          Pharmacy  0.50\n",
            "1    Sandwich Place  0.25\n",
            "2  Sushi Restaurant  0.25\n",
            "3       Yoga Studio  0.00\n",
            "4        Nail Salon  0.00\n",
            "\n",
            "\n",
            "---- Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West ----\n",
            "                       venue  freq\n",
            "0              Burrito Place  0.12\n",
            "1                       Bank  0.08\n",
            "2                 Restaurant  0.04\n",
            "3  Middle Eastern Restaurant  0.04\n",
            "4            Thai Restaurant  0.04\n",
            "\n",
            "\n",
            "---- Moore Park, Summerhill East ----\n",
            "                 venue  freq\n",
            "0                 Park  0.43\n",
            "1        Grocery Store  0.14\n",
            "2                  Gym  0.14\n",
            "3  Japanese Restaurant  0.14\n",
            "4      Thai Restaurant  0.14\n",
            "\n",
            "\n",
            "---- New Toronto, Mimico South, Humber Bay Shores ----\n",
            "           venue  freq\n",
            "0    Yoga Studio  0.14\n",
            "1  Grocery Store  0.14\n",
            "2           Park  0.14\n",
            "3   Skating Rink  0.14\n",
            "4        Brewery  0.14\n",
            "\n",
            "\n",
            "---- North Park, Maple Leaf Park, Upwood Park ----\n",
            "                        venue  freq\n",
            "0                Home Service   0.4\n",
            "1  Construction & Landscaping   0.2\n",
            "2                        Park   0.2\n",
            "3                      Bakery   0.2\n",
            "4       Portuguese Restaurant   0.0\n",
            "\n",
            "\n",
            "---- North Toronto West,  Lawrence Park ----\n",
            "                 venue  freq\n",
            "0          Coffee Shop  0.10\n",
            "1       Clothing Store  0.10\n",
            "2                 Café  0.07\n",
            "3   Italian Restaurant  0.05\n",
            "4  Sporting Goods Shop  0.05\n",
            "\n",
            "\n",
            "---- Northwest, West Humber - Clairville ----\n",
            "            venue  freq\n",
            "0           Hotel  0.22\n",
            "1     Coffee Shop  0.22\n",
            "2     Gas Station  0.11\n",
            "3             Gym  0.11\n",
            "4  Sandwich Place  0.11\n",
            "\n",
            "\n",
            "---- Northwood Park, York University ----\n",
            "                    venue  freq\n",
            "0             Pizza Place  0.13\n",
            "1  Furniture / Home Store  0.07\n",
            "2           Metro Station  0.07\n",
            "3    Fast Food Restaurant  0.07\n",
            "4    Caribbean Restaurant  0.07\n",
            "\n",
            "\n",
            "---- Old Mill South, King's Mill Park, Sunnylea, Humber Bay, Mimico NE, The Queensway East, Royal York South East, Kingsway Park South East ----\n",
            "                venue  freq\n",
            "0         Coffee Shop  0.21\n",
            "1  Italian Restaurant  0.14\n",
            "2                Bank  0.07\n",
            "3         Flower Shop  0.07\n",
            "4                Park  0.07\n",
            "\n",
            "\n",
            "---- Parkdale, Roncesvalles ----\n",
            "              venue  freq\n",
            "0       Coffee Shop  0.08\n",
            "1            Bakery  0.05\n",
            "2        Restaurant  0.04\n",
            "3  Sushi Restaurant  0.04\n",
            "4     Grocery Store  0.04\n",
            "\n",
            "\n",
            "---- Parkview Hill, Woodbine Gardens ----\n",
            "                  venue  freq\n",
            "0  Fast Food Restaurant  0.12\n",
            "1           Pizza Place  0.12\n",
            "2               Brewery  0.12\n",
            "3    Athletics & Sports  0.06\n",
            "4                  Café  0.06\n",
            "\n",
            "\n",
            "---- Parkwoods ----\n",
            "               venue  freq\n",
            "0  Food & Drink Shop   0.2\n",
            "1               Park   0.2\n",
            "2        Golf Course   0.2\n",
            "3               Road   0.2\n",
            "4      Train Station   0.2\n",
            "\n",
            "\n",
            "---- Queen's Park, Ontario Provincial Government ----\n",
            "                venue  freq\n",
            "0         Coffee Shop  0.16\n",
            "1                Café  0.08\n",
            "2      Sandwich Place  0.06\n",
            "3  Italian Restaurant  0.05\n",
            "4  Falafel Restaurant  0.02\n",
            "\n",
            "\n",
            "---- Regent Park, Harbourfront ----\n",
            "                venue  freq\n",
            "0         Coffee Shop  0.08\n",
            "1                 Pub  0.06\n",
            "2                Café  0.06\n",
            "3                Park  0.06\n",
            "4  Athletics & Sports  0.04\n",
            "\n",
            "\n",
            "---- Richmond, Adelaide, King ----\n",
            "            venue  freq\n",
            "0     Coffee Shop  0.07\n",
            "1            Café  0.06\n",
            "2           Hotel  0.06\n",
            "3  Clothing Store  0.04\n",
            "4         Theater  0.04\n",
            "\n",
            "\n",
            "---- Rosedale ----\n",
            "                  venue  freq\n",
            "0                  Park  0.38\n",
            "1  Gym / Fitness Center  0.12\n",
            "2            Playground  0.12\n",
            "3           Candy Store  0.12\n",
            "4                 Trail  0.12\n",
            "\n",
            "\n",
            "---- Roselawn ----\n",
            "           venue  freq\n",
            "0  Moving Target  0.25\n",
            "1   Home Service  0.25\n",
            "2         Garden  0.25\n",
            "3     Playground  0.25\n",
            "4    Yoga Studio  0.00\n",
            "\n",
            "\n",
            "---- Rouge Hill, Port Union, Highland Creek ----\n",
            "                        venue  freq\n",
            "0                         Bar   0.4\n",
            "1           Fish & Chips Shop   0.2\n",
            "2                        Park   0.2\n",
            "3  Construction & Landscaping   0.2\n",
            "4                      Museum   0.0\n",
            "\n",
            "\n",
            "---- Runnymede, Swansea ----\n",
            "              venue  freq\n",
            "0       Coffee Shop  0.10\n",
            "1              Café  0.08\n",
            "2       Pizza Place  0.05\n",
            "3            Bakery  0.05\n",
            "4  Sushi Restaurant  0.05\n",
            "\n",
            "\n",
            "---- Runnymede, The Junction North ----\n",
            "                    venue  freq\n",
            "0                 Brewery  0.21\n",
            "1  Furniture / Home Store  0.07\n",
            "2            Home Service  0.07\n",
            "3                    Park  0.07\n",
            "4               Pet Store  0.07\n",
            "\n",
            "\n",
            "---- Scarborough Village ----\n",
            "               venue  freq\n",
            "0      Train Station  0.17\n",
            "1  Indian Restaurant  0.17\n",
            "2     Sandwich Place  0.17\n",
            "3         Restaurant  0.17\n",
            "4      Big Box Store  0.17\n",
            "\n",
            "\n",
            "---- South Steeles, Silverstone, Humbergate, Jamestown, Mount Olive, Beaumond Heights, Thistletown, Albion Gardens ----\n",
            "                  venue  freq\n",
            "0          Liquor Store  0.07\n",
            "1        Hardware Store  0.07\n",
            "2  Fast Food Restaurant  0.07\n",
            "3              Pharmacy  0.07\n",
            "4                  Park  0.07\n",
            "\n",
            "\n",
            "---- St. James Town ----\n",
            "                venue  freq\n",
            "0         Coffee Shop  0.08\n",
            "1                Café  0.08\n",
            "2           Gastropub  0.04\n",
            "3                 Gym  0.03\n",
            "4  Seafood Restaurant  0.03\n",
            "\n",
            "\n",
            "---- St. James Town, Cabbagetown ----\n",
            "         venue  freq\n",
            "0  Coffee Shop  0.06\n",
            "1  Pizza Place  0.06\n",
            "2   Restaurant  0.06\n",
            "3         Park  0.06\n",
            "4         Café  0.06\n",
            "\n",
            "\n",
            "---- Steeles West, L'Amoreaux West ----\n",
            "                  venue  freq\n",
            "0    Chinese Restaurant  0.11\n",
            "1          Burger Joint  0.06\n",
            "2        Sandwich Place  0.06\n",
            "3                   Gym  0.06\n",
            "4  Other Great Outdoors  0.06\n",
            "\n",
            "\n",
            "---- Stn A PO Boxes ----\n",
            "                    venue  freq\n",
            "0             Coffee Shop  0.11\n",
            "1                    Café  0.06\n",
            "2                   Hotel  0.06\n",
            "3     Japanese Restaurant  0.03\n",
            "4  Furniture / Home Store  0.02\n",
            "\n",
            "\n",
            "---- Studio District ----\n",
            "                 venue  freq\n",
            "0       Baseball Field  0.17\n",
            "1   Athletics & Sports  0.17\n",
            "2  Government Building  0.17\n",
            "3        Garden Center  0.17\n",
            "4     Business Service  0.17\n",
            "\n",
            "\n",
            "---- Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park ----\n",
            "                venue  freq\n",
            "0    Sushi Restaurant  0.07\n",
            "1        Skating Rink  0.07\n",
            "2  Light Rail Station  0.07\n",
            "3          Restaurant  0.07\n",
            "4                 Pub  0.07\n",
            "\n",
            "\n",
            "---- The Annex, North Midtown, Yorkville ----\n",
            "                venue  freq\n",
            "0                Café  0.10\n",
            "1  Italian Restaurant  0.07\n",
            "2         Coffee Shop  0.07\n",
            "3      Sandwich Place  0.07\n",
            "4                Park  0.05\n",
            "\n",
            "\n",
            "---- The Beaches ----\n",
            "         venue  freq\n",
            "0          Pub  0.25\n",
            "1  Coffee Shop  0.17\n",
            "2         Bank  0.08\n",
            "3       Bakery  0.08\n",
            "4    Gastropub  0.08\n",
            "\n",
            "\n",
            "---- The Danforth West, Riverdale ----\n",
            "              venue  freq\n",
            "0  Greek Restaurant  0.09\n",
            "1              Café  0.09\n",
            "2        Restaurant  0.06\n",
            "3              Bank  0.06\n",
            "4    Ice Cream Shop  0.06\n",
            "\n",
            "\n",
            "---- The Kingsway, Montgomery Road, Old Mill North ----\n",
            "                venue  freq\n",
            "0      Breakfast Spot  0.08\n",
            "1    Sushi Restaurant  0.08\n",
            "2                Bank  0.08\n",
            "3              Bakery  0.08\n",
            "4  Italian Restaurant  0.08\n",
            "\n",
            "\n",
            "---- Thorncliffe Park ----\n",
            "               venue  freq\n",
            "0      Grocery Store  0.09\n",
            "1     Sandwich Place  0.09\n",
            "2  Indian Restaurant  0.09\n",
            "3        Yoga Studio  0.04\n",
            "4             Bridge  0.04\n",
            "\n",
            "\n",
            "---- Toronto Dominion Centre, Design Exchange ----\n",
            "                 venue  freq\n",
            "0                Hotel  0.08\n",
            "1          Coffee Shop  0.08\n",
            "2                 Café  0.06\n",
            "3  American Restaurant  0.04\n",
            "4   Seafood Restaurant  0.03\n",
            "\n",
            "\n",
            "---- University of Toronto, Harbord ----\n",
            "                venue  freq\n",
            "0         Coffee Shop  0.09\n",
            "1                Café  0.07\n",
            "2                 Pub  0.04\n",
            "3          Restaurant  0.04\n",
            "4  Italian Restaurant  0.03\n",
            "\n",
            "\n",
            "---- Victoria Village ----\n",
            "                       venue  freq\n",
            "0          French Restaurant  0.14\n",
            "1                Coffee Shop  0.14\n",
            "2      Portuguese Restaurant  0.14\n",
            "3               Intersection  0.14\n",
            "4  Middle Eastern Restaurant  0.14\n",
            "\n",
            "\n",
            "---- West Deane Park, Princess Gardens, Martin Grove, Islington, Cloverdale ----\n",
            "               venue  freq\n",
            "0        Pizza Place   0.2\n",
            "1         Restaurant   0.1\n",
            "2               Park   0.1\n",
            "3        Coffee Shop   0.1\n",
            "4  Fish & Chips Shop   0.1\n",
            "\n",
            "\n",
            "---- Westmount ----\n",
            "                venue  freq\n",
            "0         Pizza Place  0.15\n",
            "1  Golf Driving Range  0.08\n",
            "2         Coffee Shop  0.08\n",
            "3      Ice Cream Shop  0.08\n",
            "4  Chinese Restaurant  0.08\n",
            "\n",
            "\n",
            "---- Weston ----\n",
            "               venue  freq\n",
            "0  Convenience Store  0.11\n",
            "1        Pizza Place  0.11\n",
            "2          Gift Shop  0.11\n",
            "3      Grocery Store  0.11\n",
            "4               Park  0.11\n",
            "\n",
            "\n",
            "---- Wexford, Maryvale ----\n",
            "                       venue  freq\n",
            "0               Burger Joint  0.17\n",
            "1                Pizza Place  0.17\n",
            "2  Middle Eastern Restaurant  0.17\n",
            "3             Breakfast Spot  0.08\n",
            "4                Supermarket  0.08\n",
            "\n",
            "\n",
            "---- Willowdale, Newtonbrook ----\n",
            "            venue  freq\n",
            "0            Park  0.33\n",
            "1     Bridal Shop  0.17\n",
            "2  Cosmetics Shop  0.17\n",
            "3            Café  0.17\n",
            "4      Playground  0.17\n",
            "\n",
            "\n",
            "---- Willowdale, Willowdale East ----\n",
            "                 venue  freq\n",
            "0    Korean Restaurant  0.08\n",
            "1          Coffee Shop  0.07\n",
            "2          Pizza Place  0.06\n",
            "3     Ramen Restaurant  0.06\n",
            "4  Japanese Restaurant  0.04\n",
            "\n",
            "\n",
            "---- Willowdale, Willowdale West ----\n",
            "               venue  freq\n",
            "0  Convenience Store  0.08\n",
            "1        Pizza Place  0.08\n",
            "2           Bus Line  0.08\n",
            "3            Butcher  0.08\n",
            "4      Grocery Store  0.08\n",
            "\n",
            "\n",
            "---- Woburn ----\n",
            "              venue  freq\n",
            "0       Coffee Shop  0.50\n",
            "1  Business Service  0.25\n",
            "2              Park  0.25\n",
            "3         Nightclub  0.00\n",
            "4   Organic Grocery  0.00\n",
            "\n",
            "\n",
            "---- Woodbine Heights ----\n",
            "           venue  freq\n",
            "0    Coffee Shop  0.08\n",
            "1         Bakery  0.05\n",
            "2    Pizza Place  0.05\n",
            "3       Bus Line  0.05\n",
            "4  Grocery Store  0.03\n",
            "\n",
            "\n",
            "---- York Mills West ----\n",
            "               venue  freq\n",
            "0               Park  0.50\n",
            "1  Convenience Store  0.25\n",
            "2   Dentist's Office  0.25\n",
            "3      Movie Theater  0.00\n",
            "4          Nightclub  0.00\n",
            "\n",
            "\n",
            "---- York Mills, Silver Hills ----\n",
            "            venue  freq\n",
            "0            Bank  0.15\n",
            "1     Coffee Shop  0.15\n",
            "2  Ice Cream Shop  0.08\n",
            "3  Cosmetics Shop  0.08\n",
            "4     Post Office  0.08\n",
            "\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "etj0wW3Ddxjm",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def return_most_common_venues(row, num_top_venues):\n",
        "    row_categories = row.iloc[1:]\n",
        "    row_categories_sorted = row_categories.sort_values(ascending=False)\n",
        "    \n",
        "    return row_categories_sorted.index.values[0:num_top_venues]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-Ihuwr0Hd27f",
        "colab_type": "text"
      },
      "source": [
        "**Most Common Venues near Neighbourhood**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZycUwW4ud6pl",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "outputId": "033aad8f-4b8a-48d9-b7eb-7f8e179c05a7"
      },
      "source": [
        "import numpy as np\n",
        "num_top_venues = 10\n",
        "\n",
        "indicators = ['st', 'nd', 'rd']\n",
        "\n",
        "columns = ['Neighborhood']\n",
        "for ind in np.arange(num_top_venues):\n",
        "    try:\n",
        "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
        "    except:\n",
        "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
        "\n",
        "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
        "neighborhoods_venues_sorted['Neighborhood'] = Scarborough_grouped['Neighborhood']\n",
        "\n",
        "for ind in np.arange(Scarborough_grouped.shape[0]):\n",
        "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(Scarborough_grouped.iloc[ind, :], num_top_venues)\n",
        "\n",
        "neighborhoods_venues_sorted.head()"
      ],
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Neighborhood</th>\n",
              "      <th>1st Most Common Venue</th>\n",
              "      <th>2nd Most Common Venue</th>\n",
              "      <th>3rd Most Common Venue</th>\n",
              "      <th>4th Most Common Venue</th>\n",
              "      <th>5th Most Common Venue</th>\n",
              "      <th>6th Most Common Venue</th>\n",
              "      <th>7th Most Common Venue</th>\n",
              "      <th>8th Most Common Venue</th>\n",
              "      <th>9th Most Common Venue</th>\n",
              "      <th>10th Most Common Venue</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Agincourt</td>\n",
              "      <td>Shopping Mall</td>\n",
              "      <td>Chinese Restaurant</td>\n",
              "      <td>Pool Hall</td>\n",
              "      <td>Sandwich Place</td>\n",
              "      <td>Bakery</td>\n",
              "      <td>Bank</td>\n",
              "      <td>Sushi Restaurant</td>\n",
              "      <td>Supermarket</td>\n",
              "      <td>Latin American Restaurant</td>\n",
              "      <td>Motorcycle Shop</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Alderwood, Long Branch</td>\n",
              "      <td>Sandwich Place</td>\n",
              "      <td>Pizza Place</td>\n",
              "      <td>Gas Station</td>\n",
              "      <td>Gym</td>\n",
              "      <td>Athletics &amp; Sports</td>\n",
              "      <td>Coffee Shop</td>\n",
              "      <td>Pharmacy</td>\n",
              "      <td>Dance Studio</td>\n",
              "      <td>Convenience Store</td>\n",
              "      <td>Pub</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Bathurst Manor, Wilson Heights, Downsview North</td>\n",
              "      <td>Coffee Shop</td>\n",
              "      <td>Bank</td>\n",
              "      <td>Community Center</td>\n",
              "      <td>Men's Store</td>\n",
              "      <td>Mobile Phone Shop</td>\n",
              "      <td>Bridal Shop</td>\n",
              "      <td>Shopping Mall</td>\n",
              "      <td>Fried Chicken Joint</td>\n",
              "      <td>Supermarket</td>\n",
              "      <td>Sandwich Place</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Bayview Village</td>\n",
              "      <td>Park</td>\n",
              "      <td>Construction &amp; Landscaping</td>\n",
              "      <td>Trail</td>\n",
              "      <td>Women's Store</td>\n",
              "      <td>Farm</td>\n",
              "      <td>Donut Shop</td>\n",
              "      <td>Dumpling Restaurant</td>\n",
              "      <td>Eastern European Restaurant</td>\n",
              "      <td>Electronics Store</td>\n",
              "      <td>Ethiopian Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Bedford Park, Lawrence Manor East</td>\n",
              "      <td>Sandwich Place</td>\n",
              "      <td>Restaurant</td>\n",
              "      <td>Italian Restaurant</td>\n",
              "      <td>Coffee Shop</td>\n",
              "      <td>Hobby Shop</td>\n",
              "      <td>Intersection</td>\n",
              "      <td>Butcher</td>\n",
              "      <td>Pizza Place</td>\n",
              "      <td>Café</td>\n",
              "      <td>Sports Club</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                      Neighborhood 1st Most Common Venue  \\\n",
              "0                                        Agincourt         Shopping Mall   \n",
              "1                           Alderwood, Long Branch        Sandwich Place   \n",
              "2  Bathurst Manor, Wilson Heights, Downsview North           Coffee Shop   \n",
              "3                                  Bayview Village                  Park   \n",
              "4                Bedford Park, Lawrence Manor East        Sandwich Place   \n",
              "\n",
              "        2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
              "0          Chinese Restaurant             Pool Hall        Sandwich Place   \n",
              "1                 Pizza Place           Gas Station                   Gym   \n",
              "2                        Bank      Community Center           Men's Store   \n",
              "3  Construction & Landscaping                 Trail         Women's Store   \n",
              "4                  Restaurant    Italian Restaurant           Coffee Shop   \n",
              "\n",
              "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
              "0                Bakery                  Bank      Sushi Restaurant   \n",
              "1    Athletics & Sports           Coffee Shop              Pharmacy   \n",
              "2     Mobile Phone Shop           Bridal Shop         Shopping Mall   \n",
              "3                  Farm            Donut Shop   Dumpling Restaurant   \n",
              "4            Hobby Shop          Intersection               Butcher   \n",
              "\n",
              "         8th Most Common Venue      9th Most Common Venue  \\\n",
              "0                  Supermarket  Latin American Restaurant   \n",
              "1                 Dance Studio          Convenience Store   \n",
              "2          Fried Chicken Joint                Supermarket   \n",
              "3  Eastern European Restaurant          Electronics Store   \n",
              "4                  Pizza Place                       Café   \n",
              "\n",
              "  10th Most Common Venue  \n",
              "0        Motorcycle Shop  \n",
              "1                    Pub  \n",
              "2         Sandwich Place  \n",
              "3   Ethiopian Restaurant  \n",
              "4            Sports Club  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YF2QM_XKeCbu",
        "colab_type": "text"
      },
      "source": [
        "**k-Means Clustering**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1EEzFPeGeFLB",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 101
        },
        "outputId": "ca079ad8-8c36-4297-d0e1-3817e8930e12"
      },
      "source": [
        "# Using K-Means to cluster neighborhood into 3 clusters\n",
        "Scarborough_grouped_clustering = Scarborough_grouped.drop('Neighborhood', 1)\n",
        "kmeans = KMeans(n_clusters=3, random_state=0).fit(Scarborough_grouped_clustering)\n",
        "kmeans.labels_"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 0, 0, 1, 0, 0, 2, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 2, 2, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 1, 0, 0, 2, 2, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0,\n",
              "       2, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 2, 0, 0, 0, 0, 2, 0], dtype=int32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "o9hrn508eNyG",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 414
        },
        "outputId": "9d96bafe-26e3-4922-fcec-824354ff231b"
      },
      "source": [
        "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
        "\n",
        "Scarborough_merged =df_2.iloc[:16,:]\n",
        "\n",
        "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
        "Scarborough_merged = Scarborough_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n",
        "\n",
        "Scarborough_merged.head()# check the last columns!"
      ],
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Postalcode</th>\n",
              "      <th>Borough</th>\n",
              "      <th>Neighborhood</th>\n",
              "      <th>Latitude</th>\n",
              "      <th>Longitude</th>\n",
              "      <th>Cluster Labels</th>\n",
              "      <th>1st Most Common Venue</th>\n",
              "      <th>2nd Most Common Venue</th>\n",
              "      <th>3rd Most Common Venue</th>\n",
              "      <th>4th Most Common Venue</th>\n",
              "      <th>5th Most Common Venue</th>\n",
              "      <th>6th Most Common Venue</th>\n",
              "      <th>7th Most Common Venue</th>\n",
              "      <th>8th Most Common Venue</th>\n",
              "      <th>9th Most Common Venue</th>\n",
              "      <th>10th Most Common Venue</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",
              "      <td>43.808626</td>\n",
              "      <td>-79.189913</td>\n",
              "      <td>1</td>\n",
              "      <td>Park</td>\n",
              "      <td>Trail</td>\n",
              "      <td>Women's Store</td>\n",
              "      <td>Falafel Restaurant</td>\n",
              "      <td>Doner Restaurant</td>\n",
              "      <td>Donut Shop</td>\n",
              "      <td>Dumpling Restaurant</td>\n",
              "      <td>Eastern European Restaurant</td>\n",
              "      <td>Electronics Store</td>\n",
              "      <td>Ethiopian Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>M1C</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
              "      <td>43.785779</td>\n",
              "      <td>-79.157368</td>\n",
              "      <td>2</td>\n",
              "      <td>Bar</td>\n",
              "      <td>Construction &amp; Landscaping</td>\n",
              "      <td>Fish &amp; Chips Shop</td>\n",
              "      <td>Park</td>\n",
              "      <td>Women's Store</td>\n",
              "      <td>Farm</td>\n",
              "      <td>Dumpling Restaurant</td>\n",
              "      <td>Eastern European Restaurant</td>\n",
              "      <td>Electronics Store</td>\n",
              "      <td>Ethiopian Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>M1E</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Guildwood, Morningside, West Hill</td>\n",
              "      <td>43.765806</td>\n",
              "      <td>-79.185284</td>\n",
              "      <td>0</td>\n",
              "      <td>Pizza Place</td>\n",
              "      <td>Coffee Shop</td>\n",
              "      <td>Greek Restaurant</td>\n",
              "      <td>Fast Food Restaurant</td>\n",
              "      <td>Park</td>\n",
              "      <td>Bank</td>\n",
              "      <td>Mexican Restaurant</td>\n",
              "      <td>Electronics Store</td>\n",
              "      <td>Food &amp; Drink Shop</td>\n",
              "      <td>Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>M1G</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Woburn</td>\n",
              "      <td>43.771545</td>\n",
              "      <td>-79.218135</td>\n",
              "      <td>0</td>\n",
              "      <td>Coffee Shop</td>\n",
              "      <td>Park</td>\n",
              "      <td>Business Service</td>\n",
              "      <td>Women's Store</td>\n",
              "      <td>Donut Shop</td>\n",
              "      <td>Dumpling Restaurant</td>\n",
              "      <td>Eastern European Restaurant</td>\n",
              "      <td>Electronics Store</td>\n",
              "      <td>Ethiopian Restaurant</td>\n",
              "      <td>Falafel Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>M1H</td>\n",
              "      <td>Scarborough</td>\n",
              "      <td>Cedarbrae</td>\n",
              "      <td>43.768791</td>\n",
              "      <td>-79.238813</td>\n",
              "      <td>0</td>\n",
              "      <td>Thai Restaurant</td>\n",
              "      <td>Gas Station</td>\n",
              "      <td>Hakka Restaurant</td>\n",
              "      <td>Athletics &amp; Sports</td>\n",
              "      <td>Bank</td>\n",
              "      <td>Fish &amp; Chips Shop</td>\n",
              "      <td>Flea Market</td>\n",
              "      <td>Doner Restaurant</td>\n",
              "      <td>Donut Shop</td>\n",
              "      <td>Dumpling Restaurant</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Postalcode      Borough                            Neighborhood   Latitude  \\\n",
              "0        M1B  Scarborough                          Malvern, Rouge  43.808626   \n",
              "1        M1C  Scarborough  Rouge Hill, Port Union, Highland Creek  43.785779   \n",
              "2        M1E  Scarborough       Guildwood, Morningside, West Hill  43.765806   \n",
              "3        M1G  Scarborough                                  Woburn  43.771545   \n",
              "4        M1H  Scarborough                               Cedarbrae  43.768791   \n",
              "\n",
              "   Longitude  Cluster Labels 1st Most Common Venue  \\\n",
              "0 -79.189913               1                  Park   \n",
              "1 -79.157368               2                   Bar   \n",
              "2 -79.185284               0           Pizza Place   \n",
              "3 -79.218135               0           Coffee Shop   \n",
              "4 -79.238813               0       Thai Restaurant   \n",
              "\n",
              "        2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
              "0                       Trail         Women's Store    Falafel Restaurant   \n",
              "1  Construction & Landscaping     Fish & Chips Shop                  Park   \n",
              "2                 Coffee Shop      Greek Restaurant  Fast Food Restaurant   \n",
              "3                        Park      Business Service         Women's Store   \n",
              "4                 Gas Station      Hakka Restaurant    Athletics & Sports   \n",
              "\n",
              "  5th Most Common Venue 6th Most Common Venue        7th Most Common Venue  \\\n",
              "0      Doner Restaurant            Donut Shop          Dumpling Restaurant   \n",
              "1         Women's Store                  Farm          Dumpling Restaurant   \n",
              "2                  Park                  Bank           Mexican Restaurant   \n",
              "3            Donut Shop   Dumpling Restaurant  Eastern European Restaurant   \n",
              "4                  Bank     Fish & Chips Shop                  Flea Market   \n",
              "\n",
              "         8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
              "0  Eastern European Restaurant     Electronics Store   Ethiopian Restaurant  \n",
              "1  Eastern European Restaurant     Electronics Store   Ethiopian Restaurant  \n",
              "2            Electronics Store     Food & Drink Shop             Restaurant  \n",
              "3            Electronics Store  Ethiopian Restaurant     Falafel Restaurant  \n",
              "4             Doner Restaurant            Donut Shop    Dumpling Restaurant  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EupfCwkEeTEX",
        "colab_type": "text"
      },
      "source": [
        "### **Mapping**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gE-FOcbqeWRv",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 882
        },
        "outputId": "8753ed03-d7c2-4d17-9b73-081c7c2660ed"
      },
      "source": [
        "kclusters = 10\n",
        "map_clusters = folium.Map(location=[latitude_x, longitude_y], zoom_start=11)\n",
        "\n",
        "# set color scheme for the clusters\n",
        "x = np.arange(kclusters)\n",
        "colors_array = cm.rainbow(np.linspace(0, 1, kclusters))\n",
        "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
        "print(rainbow)\n",
        "# add markers to the map\n",
        "\n",
        "markers_colors = []\n",
        "for lat, lon, nei , cluster in zip(Scarborough_merged['Latitude'], \n",
        "                                   Scarborough_merged['Longitude'], \n",
        "                                   Scarborough_merged['Neighborhood'], \n",
        "                                   Scarborough_merged['Cluster Labels']):\n",
        "    label = folium.Popup(str(nei) + ' Cluster ' + str(cluster), parse_html=True)\n",
        "    folium.CircleMarker(\n",
        "        [lat, lon],\n",
        "        radius=5,\n",
        "        popup=label,\n",
        "        color=rainbow[cluster-1],\n",
        "        fill=True,\n",
        "        fill_color=rainbow[cluster-1],\n",
        "        fill_opacity=0.7).add_to(map_clusters)\n",
        "       \n",
        "map_clusters"
      ],
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['#8000ff', '#4856fb', '#10a2f0', '#2adddd', '#62fbc4', '#9cfba4', '#d4dd80', '#ffa256', '#ff562c', '#ff0000']\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
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                )
                .addTo(map_bca52aa50d464e16802ad54c24ec7cbf);
            
    
            var popup_8d0381949ec043249343d6d99c49c01b = L.popup({maxWidth: '100%'
            
            });

            
                var html_7542278317fe4f128fc6405927d78137 = $(`<div id="html_7542278317fe4f128fc6405927d78137" style="width: 100.0%; height: 100.0%;">Clarks Corners, Tam O&#39;Shanter, Sullivan Cluster 0</div>`)[0];
                popup_8d0381949ec043249343d6d99c49c01b.setContent(html_7542278317fe4f128fc6405927d78137);
            

            circle_marker_bebbe2405c8d44e99979071d5ab63d42.bindPopup(popup_8d0381949ec043249343d6d99c49c01b)
            ;

            
        
    
            var circle_marker_6d588fbed4ef4ba7bee5f68527293d0f = L.circleMarker(
                [43.81799836300007, -79.28088739199995],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                )
                .addTo(map_bca52aa50d464e16802ad54c24ec7cbf);
            
    
            var popup_9b9e116ec9a94489a6cccb2093324732 = L.popup({maxWidth: '100%'
            
            });

            
                var html_b1b98e22943c46328aec2bcd2e984be7 = $(`<div id="html_b1b98e22943c46328aec2bcd2e984be7" style="width: 100.0%; height: 100.0%;">Milliken, Agincourt North, Steeles East, L&#39;Amoreaux East Cluster 0</div>`)[0];
                popup_9b9e116ec9a94489a6cccb2093324732.setContent(html_b1b98e22943c46328aec2bcd2e984be7);
            

            circle_marker_6d588fbed4ef4ba7bee5f68527293d0f.bindPopup(popup_9b9e116ec9a94489a6cccb2093324732)
            ;

            
        
    
            var circle_marker_6ead8237ae274c53a0f5e16abedb0853 = L.circleMarker(
                [43.80053000000004, -79.32182999999998],
                {
  "bubblingMouseEvents": true,
  "color": "#ff0000",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#ff0000",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                )
                .addTo(map_bca52aa50d464e16802ad54c24ec7cbf);
            
    
            var popup_0da052243acb4b8ba86d3c550694de00 = L.popup({maxWidth: '100%'
            
            });

            
                var html_7462721814bc429b970137a4c559521d = $(`<div id="html_7462721814bc429b970137a4c559521d" style="width: 100.0%; height: 100.0%;">Steeles West, L&#39;Amoreaux West Cluster 0</div>`)[0];
                popup_0da052243acb4b8ba86d3c550694de00.setContent(html_7462721814bc429b970137a4c559521d);
            

            circle_marker_6ead8237ae274c53a0f5e16abedb0853.bindPopup(popup_0da052243acb4b8ba86d3c550694de00)
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
            ],
            "text/plain": [
              "<folium.folium.Map at 0x7fde2d5a6c18>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EaQStr_deni-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df1=Scarborough_merged.loc[Scarborough_merged['Cluster Labels'] == 0,Scarborough_merged.columns[[2] + list(range(5, Scarborough_merged.shape[1]))]]\n",
        "df2=Scarborough_merged.loc[Scarborough_merged['Cluster Labels'] == 1,Scarborough_merged.columns[[2] + list(range(5, Scarborough_merged.shape[1]))]]\n",
        "df3=Scarborough_merged.loc[Scarborough_merged['Cluster Labels'] == 2,Scarborough_merged.columns[[2] + list(range(5, Scarborough_merged.shape[1]))]]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VdIIqjJYerN-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Scarborough_Avg_HousingPrice=pd.DataFrame({\"Neighborhood\":df_2[\"Neighborhood\"],\n",
        "                                      \"Average_Housing_Price\":[335000.0,286600.0,175000.0,225900.0,219400.0,\n",
        "                                                               573900.0,225000.0,370500.0,370500.0,433500.0,279200.0,\n",
        "                                                               279200.0,225000.0,370500.,255400.0,433500.0,433500.0,\n",
        "                                                               435000.0,289500.0,265000.0,285900.0,239400.0,\n",
        "                                                               589900.0,295000.0,380500.0,378500.0,438500.0,229200.0,\n",
        "                                                               229200.0,365000.0,388500.,285400.0,493500.0,477500.0,378000.0,316600.0,195000.0,225900.0,219400.0,\n",
        "                                                               573900.0,367000.0,370500.0,370500.0,363500.0,279200.0,\n",
        "                                                               279200.0,271000.0,370500.,255400.0,383500.0,433500.0,335000.0,286600.0,185000.0,225900.0,219400.0,\n",
        "                                                               573900.0,329000.0,370500.0,370500.0,533500.0,279200.0,\n",
        "                                                               279200.0,375000.0,370500.,255400.0,493500.0,433500.0,335000.0,286600.0,165000.0,225900.0,219400.0,\n",
        "                                                               573900.0,425000.0,370500.0,370500.0,433500.0,279200.0,\n",
        "                                                               279200.0,195000.0,370500.,255400.0,403500.0,433500.0,335000.0,286600.0,187000.0,225900.0,219400.0,\n",
        "                                                               573900.0,325000.0,370500.0,370500.0,333500.0,279200.0,\n",
        "                                                               279200.0,289000.0,370500.,255400.0,413500.0,433500.0,254800.0\n",
        "                                                              \n",
        "                                                              \n",
        "                                                              ]})"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "El9vhf2ney0F",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "4adf3768-ae7e-4b3c-a8fb-d0cf23f9f552"
      },
      "source": [
        "Scarborough_Avg_HousingPrice.plot(kind='bar',figsize=(24,18),alpha=0.75)"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fde2a49d518>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        },
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 1728x1296 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TXckCHa-fVX4",
        "colab_type": "text"
      },
      "source": [
        "**School Rating By clusters**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kMlTQ_cmfYc-",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "clusters=pd.DataFrame({\"Cluster1\":df1[\"Neighborhood\"],\n",
        "                      \"Cluster2\":df2[\"Neighborhood\"],\n",
        "                      \"Cluster4\":df3[\"Neighborhood\"]})\n",
        "clusters = clusters.replace(np.nan, '', regex=True)\n",
        "new_Scarborough=Scarborough_merged.set_index(\"Neighborhood\",drop=True)\n",
        "#Source:https://www.greatschools.org\n",
        "Scarborough_school_ratings=pd.DataFrame({\"Neighborhood\":df[\"Neighborhood\"],\n",
        "                                      \"Top School Rating\":[7,9,5,8,10,10,7,10,1,2,1,2,7,2,3,2,6,\n",
        "                                                           5,4,8,9,9,6,6,4,5,4,6,8,10,8,9,6,2,\n",
        "                                                           10,2,5,8,9,6,6,10,8,9,1,2,3,4,5,6,9,\n",
        "                                                           8,5,9,6,9,6,4,8,10,2,5,6,3,9,8,7,\n",
        "                                                           7,8,5,8,9,1,5,4,7,2,3,6,6,9,4,8,7,\n",
        "                                                           4,8,9,2,6,4,7,5,10,4,6,8,9,7,5,6,5,8,7\n",
        "                                                           ]})"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gKevSfCYfljW",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Scarborough_school_ratings.set_index('Neighborhood',inplace=True,drop=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mDhb2nmsfpA9",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "0c7f33da-d096-44f2-eccf-9c556e7ec3ce"
      },
      "source": [
        "Scarborough_school_ratings.plot(kind='bar',figsize=(16,10),color='green',alpha=0.75);"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}