Week3_Toronto_Clustering_Part3.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explore and cluster the neighborhoods in Toronto."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notebook to build the code to scrape the following Wikipedia page, https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from bs4 import BeautifulSoup\n",
    "import requests\n",
    "from geopy.geocoders import Nominatim \n",
    "import folium \n",
    "import json\n",
    "from pandas.io.json import json_normalize \n",
    "import numpy as np\n",
    "from sklearn.cluster import KMeans\n",
    "# Matplotlib and associated plotting modules\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We will ping a website using: \"requests.get(url).text\" and  this will return us the HTML of the website"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "web_url = 'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'\n",
    "webpage = requests.get(web_url).text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We will use the BeautifulSoup Function to get the details of HTML into a Beautiful Object and we will use prettify function in BeautifulSoup to view the tags from parsed tree.\n",
    "\n",
    "#### BeautifulSoup is a python package for parsing HTML and XML documents. This process of creating parse trees from HTML is useful for webscraping\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    " soup = BeautifulSoup(webpage, 'lxml')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### By inspecting the HTML script carefully, we have identified the neighborhood and postalcode information for Toronto is available under class Wikitable Sortable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(soup.prettify())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Get the table details using the findall method from Beautifulsoap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "table = soup.find_all('table')[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's write a loop to get all the table details into our Pandas Dataframe\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_columns = 0\n",
    "n_rows=0\n",
    "column_names = []\n",
    "\n",
    "# Find number of rows and columns\n",
    "# we also find the column titles if we can\n",
    "for row in table.find_all('tr'):\n",
    "\n",
    "    # Determine the number of rows in the table\n",
    "    td_tags = row.find_all('td')\n",
    "    if len(td_tags) > 0:\n",
    "        n_rows+=1\n",
    "        if n_columns == 0:\n",
    "            # Set the number of columns for our table\n",
    "            n_columns = len(td_tags)\n",
    "\n",
    "    # Handle column names if we find them\n",
    "    th_tags = row.find_all('th') \n",
    "    if len(th_tags) > 0 and len(column_names) == 0:\n",
    "        for th in th_tags:\n",
    "            column_names.append(th.get_text())\n",
    "\n",
    "# Safeguard on Column Titles\n",
    "if len(column_names) > 0 and len(column_names) != n_columns:\n",
    "    raise Exception(\"Column titles do not match the number of columns\")\n",
    "\n",
    "columns = column_names if len(column_names) > 0 else range(0,n_columns)\n",
    "df = pd.DataFrame(columns = columns,\n",
    "                  index= range(0,n_rows))\n",
    "row_marker = 0\n",
    "for row in table.find_all('tr'):\n",
    "    column_marker = 0\n",
    "    columns = row.find_all('td')\n",
    "    for column in columns:\n",
    "        df.iat[row_marker,column_marker] = column.get_text()\n",
    "        column_marker += 1\n",
    "    if len(columns) > 0:\n",
    "        row_marker += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Lets check our dataframe header"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M2A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront\\n</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough     Neighbourhood\\n\n",
       "0      M1A      Not assigned      Not assigned\\n\n",
       "1      M2A      Not assigned      Not assigned\\n\n",
       "2      M3A        North York         Parkwoods\\n\n",
       "3      M4A        North York  Victoria Village\\n\n",
       "4      M5A  Downtown Toronto      Harbourfront\\n"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We see that there are newline characters existing our df, let's remove them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.replace('\\n','', regex=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</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>M2A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough   Neighbourhood\\n\n",
       "0      M1A      Not assigned      Not assigned\n",
       "1      M2A      Not assigned      Not assigned\n",
       "2      M3A        North York         Parkwoods\n",
       "3      M4A        North York  Victoria Village\n",
       "4      M5A  Downtown Toronto      Harbourfront"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's create a new Dataframe to drop all the rows that are having the \"not assigned\" values in the Borough column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "T_df = df[df.Borough != 'Not assigned'].reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6</td>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index Postcode           Borough   Neighbourhood\\n\n",
       "0      2      M3A        North York         Parkwoods\n",
       "1      3      M4A        North York  Victoria Village\n",
       "2      4      M5A  Downtown Toronto      Harbourfront\n",
       "3      5      M5A  Downtown Toronto       Regent Park\n",
       "4      6      M6A        North York  Lawrence Heights"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "T_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Delete the index column from old dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "del T_df['index']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough   Neighbourhood\\n\n",
       "0      M3A        North York         Parkwoods\n",
       "1      M4A        North York  Victoria Village\n",
       "2      M5A  Downtown Toronto      Harbourfront\n",
       "3      M5A  Downtown Toronto       Regent Park\n",
       "4      M6A        North York  Lawrence Heights"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "T_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "T_df.columns = ['Postcode', 'Borough', 'Neighbourhood']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Rename the columns to remove the hidden new line characters in the header"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "T_df = T_df.groupby(['Postcode','Borough'])['Neighbourhood'].apply(', '.join).reset_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### aggregate the Neighbourhoods by Boroughs with a comma separated values and print the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge, Malvern</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</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": [
       "  Postcode      Borough                           Neighbourhood\n",
       "0      M1B  Scarborough                          Rouge, Malvern\n",
       "1      M1C  Scarborough  Highland Creek, Rouge Hill, Port Union\n",
       "2      M1E  Scarborough       Guildwood, Morningside, West Hill\n",
       "3      M1G  Scarborough                                  Woburn\n",
       "4      M1H  Scarborough                               Cedarbrae"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "T_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "T_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "T_df.loc[new_df['Neighbourhood']=='Not assgined', 'Neighbourhood'] = T_df['Borough']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Copy the Borough information to Neighborhood where Neighborhood column has values as \"Not Assigned\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge, Malvern</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</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",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Scarborough Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M1K</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>East Birchmount Park, Ionview, Kennedy Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M1L</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M1M</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cliffcrest, Cliffside, Scarborough Village West</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>M1P</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Dorset Park, Scarborough Town Centre, Wexford ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>M1R</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Maryvale, Wexford</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>M1S</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Agincourt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>M1T</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Clarks Corners, Sullivan, Tam O'Shanter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>M1V</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Agincourt North, L'Amoreaux East, Milliken, St...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>M1W</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>L'Amoreaux West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>M1X</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Upper Rouge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>M2H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Hillcrest Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>M2J</td>\n",
       "      <td>North York</td>\n",
       "      <td>Fairview, Henry Farm, Oriole</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>M2K</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bayview Village</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode      Borough                                      Neighbourhood\n",
       "0       M1B  Scarborough                                     Rouge, Malvern\n",
       "1       M1C  Scarborough             Highland Creek, Rouge Hill, Port Union\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        East Birchmount Park, Ionview, Kennedy Park\n",
       "7       M1L  Scarborough                    Clairlea, Golden Mile, Oakridge\n",
       "8       M1M  Scarborough    Cliffcrest, Cliffside, Scarborough Village West\n",
       "9       M1N  Scarborough                        Birch Cliff, Cliffside West\n",
       "10      M1P  Scarborough  Dorset Park, Scarborough Town Centre, Wexford ...\n",
       "11      M1R  Scarborough                                  Maryvale, Wexford\n",
       "12      M1S  Scarborough                                          Agincourt\n",
       "13      M1T  Scarborough            Clarks Corners, Sullivan, Tam O'Shanter\n",
       "14      M1V  Scarborough  Agincourt North, L'Amoreaux East, Milliken, St...\n",
       "15      M1W  Scarborough                                    L'Amoreaux West\n",
       "16      M1X  Scarborough                                        Upper Rouge\n",
       "17      M2H   North York                                  Hillcrest Village\n",
       "18      M2J   North York                       Fairview, Henry Farm, Oriole\n",
       "19      M2K   North York                                    Bayview Village"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "T_df.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's see the shape of dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "T_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Now that we have the required details in dataframe Let's move on to get longitude and latitude details for the locations in the data frame\n",
    "\n",
    "#### We have downloaded the CSV file from the link given in the task and we will proceed further by using pandas read_csv method to import the data into data frame\n",
    "\n",
    "#### CSV File Link: http://cocl.us/Geospatial_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "geos_df = pd.read_csv(\"Geospatial_Coordinates.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal Code</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>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal Code   Latitude  Longitude\n",
       "0         M1B  43.806686 -79.194353\n",
       "1         M1C  43.784535 -79.160497\n",
       "2         M1E  43.763573 -79.188711\n",
       "3         M1G  43.770992 -79.216917\n",
       "4         M1H  43.773136 -79.239476"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geos_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's look at the shape of geospatial info Dataframe and assign the column headers to make dataframe eligible for join\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geos_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "geos_df.columns = ['Postcode', 'Latitude', 'Longitude']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Combine the dataframe using the Pandas merge function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <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>Rouge, Malvern</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</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>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Scarborough Village</td>\n",
       "      <td>43.744734</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M1K</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>East Birchmount Park, Ionview, Kennedy Park</td>\n",
       "      <td>43.727929</td>\n",
       "      <td>-79.262029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M1L</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>43.711112</td>\n",
       "      <td>-79.284577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M1M</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cliffcrest, Cliffside, Scarborough Village West</td>\n",
       "      <td>43.716316</td>\n",
       "      <td>-79.239476</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>43.692657</td>\n",
       "      <td>-79.264848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>M1P</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Dorset Park, Scarborough Town Centre, Wexford ...</td>\n",
       "      <td>43.757410</td>\n",
       "      <td>-79.273304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>M1R</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Maryvale, Wexford</td>\n",
       "      <td>43.750072</td>\n",
       "      <td>-79.295849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>M1S</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Agincourt</td>\n",
       "      <td>43.794200</td>\n",
       "      <td>-79.262029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>M1T</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Clarks Corners, Sullivan, Tam O'Shanter</td>\n",
       "      <td>43.781638</td>\n",
       "      <td>-79.304302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>M1V</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Agincourt North, L'Amoreaux East, Milliken, St...</td>\n",
       "      <td>43.815252</td>\n",
       "      <td>-79.284577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>M1W</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>L'Amoreaux West</td>\n",
       "      <td>43.799525</td>\n",
       "      <td>-79.318389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>M1X</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Upper Rouge</td>\n",
       "      <td>43.836125</td>\n",
       "      <td>-79.205636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>M2H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Hillcrest Village</td>\n",
       "      <td>43.803762</td>\n",
       "      <td>-79.363452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>M2J</td>\n",
       "      <td>North York</td>\n",
       "      <td>Fairview, Henry Farm, Oriole</td>\n",
       "      <td>43.778517</td>\n",
       "      <td>-79.346556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>M2K</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bayview Village</td>\n",
       "      <td>43.786947</td>\n",
       "      <td>-79.385975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>M2L</td>\n",
       "      <td>North York</td>\n",
       "      <td>Silver Hills, York Mills</td>\n",
       "      <td>43.757490</td>\n",
       "      <td>-79.374714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>M2M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Newtonbrook, Willowdale</td>\n",
       "      <td>43.789053</td>\n",
       "      <td>-79.408493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>M2N</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale South</td>\n",
       "      <td>43.770120</td>\n",
       "      <td>-79.408493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>M2P</td>\n",
       "      <td>North York</td>\n",
       "      <td>York Mills West</td>\n",
       "      <td>43.752758</td>\n",
       "      <td>-79.400049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>M2R</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale West</td>\n",
       "      <td>43.782736</td>\n",
       "      <td>-79.442259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>M3B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills North</td>\n",
       "      <td>43.745906</td>\n",
       "      <td>-79.352188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>M3C</td>\n",
       "      <td>North York</td>\n",
       "      <td>Flemingdon Park, Don Mills South</td>\n",
       "      <td>43.725900</td>\n",
       "      <td>-79.340923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>M3H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bathurst Manor, Downsview North, Wilson Heights</td>\n",
       "      <td>43.754328</td>\n",
       "      <td>-79.442259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>M3J</td>\n",
       "      <td>North York</td>\n",
       "      <td>Northwood Park, York University</td>\n",
       "      <td>43.767980</td>\n",
       "      <td>-79.487262</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode      Borough                                      Neighbourhood  \\\n",
       "0       M1B  Scarborough                                     Rouge, Malvern   \n",
       "1       M1C  Scarborough             Highland Creek, Rouge Hill, Port Union   \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        East Birchmount Park, Ionview, Kennedy Park   \n",
       "7       M1L  Scarborough                    Clairlea, Golden Mile, Oakridge   \n",
       "8       M1M  Scarborough    Cliffcrest, Cliffside, Scarborough Village West   \n",
       "9       M1N  Scarborough                        Birch Cliff, Cliffside West   \n",
       "10      M1P  Scarborough  Dorset Park, Scarborough Town Centre, Wexford ...   \n",
       "11      M1R  Scarborough                                  Maryvale, Wexford   \n",
       "12      M1S  Scarborough                                          Agincourt   \n",
       "13      M1T  Scarborough            Clarks Corners, Sullivan, Tam O'Shanter   \n",
       "14      M1V  Scarborough  Agincourt North, L'Amoreaux East, Milliken, St...   \n",
       "15      M1W  Scarborough                                    L'Amoreaux West   \n",
       "16      M1X  Scarborough                                        Upper Rouge   \n",
       "17      M2H   North York                                  Hillcrest Village   \n",
       "18      M2J   North York                       Fairview, Henry Farm, Oriole   \n",
       "19      M2K   North York                                    Bayview Village   \n",
       "20      M2L   North York                           Silver Hills, York Mills   \n",
       "21      M2M   North York                            Newtonbrook, Willowdale   \n",
       "22      M2N   North York                                   Willowdale South   \n",
       "23      M2P   North York                                    York Mills West   \n",
       "24      M2R   North York                                    Willowdale West   \n",
       "25      M3A   North York                                          Parkwoods   \n",
       "26      M3B   North York                                    Don Mills North   \n",
       "27      M3C   North York                   Flemingdon Park, Don Mills South   \n",
       "28      M3H   North York    Bathurst Manor, Downsview North, Wilson Heights   \n",
       "29      M3J   North York                    Northwood Park, York University   \n",
       "\n",
       "     Latitude  Longitude  \n",
       "0   43.806686 -79.194353  \n",
       "1   43.784535 -79.160497  \n",
       "2   43.763573 -79.188711  \n",
       "3   43.770992 -79.216917  \n",
       "4   43.773136 -79.239476  \n",
       "5   43.744734 -79.239476  \n",
       "6   43.727929 -79.262029  \n",
       "7   43.711112 -79.284577  \n",
       "8   43.716316 -79.239476  \n",
       "9   43.692657 -79.264848  \n",
       "10  43.757410 -79.273304  \n",
       "11  43.750072 -79.295849  \n",
       "12  43.794200 -79.262029  \n",
       "13  43.781638 -79.304302  \n",
       "14  43.815252 -79.284577  \n",
       "15  43.799525 -79.318389  \n",
       "16  43.836125 -79.205636  \n",
       "17  43.803762 -79.363452  \n",
       "18  43.778517 -79.346556  \n",
       "19  43.786947 -79.385975  \n",
       "20  43.757490 -79.374714  \n",
       "21  43.789053 -79.408493  \n",
       "22  43.770120 -79.408493  \n",
       "23  43.752758 -79.400049  \n",
       "24  43.782736 -79.442259  \n",
       "25  43.753259 -79.329656  \n",
       "26  43.745906 -79.352188  \n",
       "27  43.725900 -79.340923  \n",
       "28  43.754328 -79.442259  \n",
       "29  43.767980 -79.487262  "
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df = pd.merge(T_df, geos_df, how='inner', on='Postcode')\n",
    "final_df.head(30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 5)"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Lets print the dataframe boroughs and neighbourhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The dataframe has 11 boroughs and 103 neighborhoods.\n"
     ]
    }
   ],
   "source": [
    "print('The dataframe has {} boroughs and {} neighborhoods.'.format(\n",
    "        len(final_df['Borough'].unique()),\n",
    "        final_df.shape[0]\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let us get the Geogrpahical coordinates of Toronto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Toronto are 43.653963, -79.387207.\n"
     ]
    }
   ],
   "source": [
    "address = 'Toronto'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"To_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of Toronto are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f4173e7b898>"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We will crete the map of Toronto using latitude and longitude values\n",
    "map_Toronto= folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighborhood in zip(final_df['Latitude'], final_df['Longitude'], final_df['Borough'], final_df['Neighbourhood']):\n",
    "    label = '{}, {}'.format(neighborhood, borough)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_Toronto)  \n",
    "    \n",
    "map_Toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's get the Toronto Data into a dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4K</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>43.679557</td>\n",
       "      <td>-79.352188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M4L</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches West, India Bazaar</td>\n",
       "      <td>43.668999</td>\n",
       "      <td>-79.315572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4M</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Studio District</td>\n",
       "      <td>43.659526</td>\n",
       "      <td>-79.340923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>43.728020</td>\n",
       "      <td>-79.388790</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode          Borough                   Neighbourhood   Latitude  \\\n",
       "0      M4E     East Toronto                     The Beaches  43.676357   \n",
       "1      M4K     East Toronto    The Danforth West, Riverdale  43.679557   \n",
       "2      M4L     East Toronto  The Beaches West, India Bazaar  43.668999   \n",
       "3      M4M     East Toronto                 Studio District  43.659526   \n",
       "4      M4N  Central Toronto                   Lawrence Park  43.728020   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.293031  \n",
       "1 -79.352188  \n",
       "2 -79.315572  \n",
       "3 -79.340923  \n",
       "4 -79.388790  "
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_data = final_df[final_df['Borough'].str.contains('Toronto')].reset_index(drop=True)\n",
    "toronto_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let us set the credentials for Foursquare API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "CLIENT_ID =  # your Foursquare ID\n",
    "CLIENT_SECRET =  # your Foursquare Secret\n",
    "VERSION = '20190527' # Foursquare API version\n",
    "\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's explore the any neighborhood in our dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'The Beaches West, India Bazaar'"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_data.loc[2, 'Neighbourhood']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's get the neighbourhood langitude and latitude values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude and longitude values of India Bazaar are 43.6689985, -79.31557159999998.\n"
     ]
    }
   ],
   "source": [
    "neighborhood_latitude = toronto_data.loc[2, 'Latitude'] # neighborhood latitude value\n",
    "neighborhood_longitude = toronto_data.loc[2, 'Longitude'] # neighborhood longitude value\n",
    "\n",
    "neighborhood_name = 'India Bazaar' # neighborhood name\n",
    "\n",
    "print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, \n",
    "                                                               neighborhood_latitude, \n",
    "                                                               neighborhood_longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Now, let's get the top 100 venues that are in 'The Beaches West, India Bazaar' within a radius of 800 meters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://api.foursquare.com/v2/venues/explore?&client_id=0G3BW4WN3EJM11Y0CRKNJ5Z33T0AI5YBS2PESCFWEIT3BHV5&client_secret=20PINJBGBBCJDU054OWNNWBJAMFHIDANFE3CRZZVHMXHKLMB&v=20190527&ll=43.6689985,-79.31557159999998&radius=800&limit=100'"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# type your answer here\n",
    "Limit = 100\n",
    "radius = 800\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",
    "    neighborhood_latitude, \n",
    "    neighborhood_longitude, \n",
    "    radius, \n",
    "    Limit)\n",
    "url"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We will examine the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5d0fe530342adf00380ef126'},\n",
       " 'response': {'suggestedFilters': {'header': 'Tap to show:',\n",
       "   'filters': [{'name': 'Open now', 'key': 'openNow'}]},\n",
       "  'headerLocation': 'East End',\n",
       "  'headerFullLocation': 'East End, Toronto',\n",
       "  'headerLocationGranularity': 'neighborhood',\n",
       "  'totalResults': 50,\n",
       "  'suggestedBounds': {'ne': {'lat': 43.676198507200006,\n",
       "    'lng': -79.30563636151818},\n",
       "   'sw': {'lat': 43.661798492799996, 'lng': -79.32550683848179}},\n",
       "  'groups': [{'type': 'Recommended Places',\n",
       "    'name': 'recommended',\n",
       "    'items': [{'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4b942922f964a520f16b34e3',\n",
       "       'name': 'British Style Fish & Chips',\n",
       "       'location': {'address': '73 Coxwell Ave.',\n",
       "        'crossStreet': 'Dundas St & Coxwell St',\n",
       "        'lat': 43.66872336908457,\n",
       "        'lng': -79.31713935234417,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.66872336908457,\n",
       "          'lng': -79.31713935234417}],\n",
       "        'distance': 129,\n",
       "        'postalCode': 'M4L 3A7',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['73 Coxwell Ave. (Dundas St & Coxwell St)',\n",
       "         'Toronto ON M4L 3A7',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4edd64a0c7ddd24ca188df1a',\n",
       "         'name': 'Fish & Chips Shop',\n",
       "         'pluralName': 'Fish & Chips Shops',\n",
       "         'shortName': 'Fish & Chips',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/fishandchips_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4b942922f964a520f16b34e3-0'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4c1169396e5dc9b61b10b02d',\n",
       "       'name': \"The Burger's Priest\",\n",
       "       'location': {'address': '1636 Queen St. E',\n",
       "        'crossStreet': 'btwn Coxwell Ave. & Kingston Rd.',\n",
       "        'lat': 43.66661154298639,\n",
       "        'lng': -79.31553079617778,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.66661154298639,\n",
       "          'lng': -79.31553079617778}],\n",
       "        'distance': 265,\n",
       "        'postalCode': 'M4L 1G3',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['1636 Queen St. E (btwn Coxwell Ave. & Kingston Rd.)',\n",
       "         'Toronto ON M4L 1G3',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d16c941735',\n",
       "         'name': 'Burger Joint',\n",
       "         'pluralName': 'Burger Joints',\n",
       "         'shortName': 'Burgers',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/burger_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4c1169396e5dc9b61b10b02d-1'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4ade390ff964a5200e7421e3',\n",
       "       'name': 'System Fitness',\n",
       "       'location': {'address': '1661 Queen St East',\n",
       "        'crossStreet': 'at Kingston Rd',\n",
       "        'lat': 43.667171452103204,\n",
       "        'lng': -79.31273345707406,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.667171452103204,\n",
       "          'lng': -79.31273345707406}],\n",
       "        'distance': 305,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['1661 Queen St East (at Kingston Rd)',\n",
       "         'Toronto ON',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d176941735',\n",
       "         'name': 'Gym',\n",
       "         'pluralName': 'Gyms',\n",
       "         'shortName': 'Gym',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4ade390ff964a5200e7421e3-2'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '59172e0169e77b035cdbe7bd',\n",
       "       'name': \"Brett's Ice Cream\",\n",
       "       'location': {'lat': 43.667222,\n",
       "        'lng': -79.312831,\n",
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       "         'name': \"Women's Store\",\n",
       "         'pluralName': \"Women's Stores\",\n",
       "         'shortName': \"Women's Store\",\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/apparel_women_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4c152be8a1010f4722964d18-45'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4e67daf5e4cdfdecb07ae4a4',\n",
       "       'name': 'TTC Stop #8922',\n",
       "       'location': {'address': 'Woodbine',\n",
       "        'crossStreet': 'Kingston',\n",
       "        'lat': 43.67266474372797,\n",
       "        'lng': -79.30775517015852,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.67266474372797,\n",
       "          'lng': -79.30775517015852}],\n",
       "        'distance': 750,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Woodbine (Kingston)', 'Toronto ON', 'Canada']},\n",
       "       'categories': [{'id': '52f2ab2ebcbc57f1066b8b4f',\n",
       "         'name': 'Bus Stop',\n",
       "         'pluralName': 'Bus Stops',\n",
       "         'shortName': 'Bus Stop',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/travel/busstation_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4e67daf5e4cdfdecb07ae4a4-46'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4ad4c05ff964a5200ff720e3',\n",
       "       'name': 'Sauvignon Bistro & Bakery Inc',\n",
       "       'location': {'address': '1862 Queen St E',\n",
       "        'crossStreet': 'Woodbine',\n",
       "        'lat': 43.668453,\n",
       "        'lng': -79.307099,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.668453,\n",
       "          'lng': -79.307099}],\n",
       "        'distance': 684,\n",
       "        'postalCode': 'M4L 1H1',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['1862 Queen St E (Woodbine)',\n",
       "         'Toronto ON M4L 1H1',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d10c941735',\n",
       "         'name': 'French Restaurant',\n",
       "         'pluralName': 'French Restaurants',\n",
       "         'shortName': 'French',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/french_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4ad4c05ff964a5200ff720e3-47'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4edd30c09adfe5cbe2818dc4',\n",
       "       'name': 'Lahori Taste & Burger House',\n",
       "       'location': {'lat': 43.6716559063876,\n",
       "        'lng': -79.32458125378369,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.6716559063876,\n",
       "          'lng': -79.32458125378369}],\n",
       "        'distance': 783,\n",
       "        'cc': 'CA',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d10f941735',\n",
       "         'name': 'Indian Restaurant',\n",
       "         'pluralName': 'Indian Restaurants',\n",
       "         'shortName': 'Indian',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/indian_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4edd30c09adfe5cbe2818dc4-48'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4c575eb630d82d7f3cc5d962',\n",
       "       'name': 'Desi Burger & Chaat House',\n",
       "       'location': {'address': '1340 Gerrard St.',\n",
       "        'lat': 43.67170831818089,\n",
       "        'lng': -79.32461426469615,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.67170831818089,\n",
       "          'lng': -79.32461426469615}],\n",
       "        'distance': 788,\n",
       "        'postalCode': 'M4L 1Z2',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['1340 Gerrard St.',\n",
       "         'Toronto ON M4L 1Z2',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d16c941735',\n",
       "         'name': 'Burger Joint',\n",
       "         'pluralName': 'Burger Joints',\n",
       "         'shortName': 'Burgers',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/burger_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4c575eb630d82d7f3cc5d962-49'}]}]}}"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's create a function to create the same for all venues\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            Limit)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Beaches\n",
      "The Danforth West, Riverdale\n",
      "The Beaches West, India Bazaar\n",
      "Studio District\n",
      "Lawrence Park\n",
      "Davisville North\n",
      "North Toronto West\n",
      "Davisville\n",
      "Moore Park, Summerhill East\n",
      "Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West\n",
      "Rosedale\n",
      "Cabbagetown, St. James Town\n",
      "Church and Wellesley\n",
      "Harbourfront, Regent Park\n",
      "Ryerson, Garden District\n",
      "St. James Town\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Adelaide, King, Richmond\n",
      "Harbourfront East, Toronto Islands, Union Station\n",
      "Design Exchange, Toronto Dominion Centre\n",
      "Commerce Court, Victoria Hotel\n",
      "Roselawn\n",
      "Forest Hill North, Forest Hill West\n",
      "The Annex, North Midtown, Yorkville\n",
      "Harbord, University of Toronto\n",
      "Chinatown, Grange Park, Kensington Market\n",
      "CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara\n",
      "Stn A PO Boxes 25 The Esplanade\n",
      "First Canadian Place, Underground city\n",
      "Christie\n",
      "Dovercourt Village, Dufferin\n",
      "Little Portugal, Trinity\n",
      "Brockton, Exhibition Place, Parkdale Village\n",
      "High Park, The Junction South\n",
      "Parkdale, Roncesvalles\n",
      "Runnymede, Swansea\n",
      "Business Reply Mail Processing Centre 969 Eastern\n"
     ]
    }
   ],
   "source": [
    "Toronto_venues = getNearbyVenues(names=toronto_data['Neighbourhood'],\n",
    "                                   latitudes=toronto_data['Latitude'],\n",
    "                                   longitudes=toronto_data['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Lets check the size of the DF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1700, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>Glen Manor Ravine</td>\n",
       "      <td>43.676821</td>\n",
       "      <td>-79.293942</td>\n",
       "      <td>Trail</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>The Big Carrot Natural Food Market</td>\n",
       "      <td>43.678879</td>\n",
       "      <td>-79.297734</td>\n",
       "      <td>Health Food Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>Grover Pub and Grub</td>\n",
       "      <td>43.679181</td>\n",
       "      <td>-79.297215</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>Glen Stewart Ravine</td>\n",
       "      <td>43.676300</td>\n",
       "      <td>-79.294784</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>Upper Beaches</td>\n",
       "      <td>43.680563</td>\n",
       "      <td>-79.292869</td>\n",
       "      <td>Neighborhood</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n",
       "0  The Beaches              43.676357              -79.293031   \n",
       "1  The Beaches              43.676357              -79.293031   \n",
       "2  The Beaches              43.676357              -79.293031   \n",
       "3  The Beaches              43.676357              -79.293031   \n",
       "4  The Beaches              43.676357              -79.293031   \n",
       "\n",
       "                                Venue  Venue Latitude  Venue Longitude  \\\n",
       "0                   Glen Manor Ravine       43.676821       -79.293942   \n",
       "1  The Big Carrot Natural Food Market       43.678879       -79.297734   \n",
       "2                 Grover Pub and Grub       43.679181       -79.297215   \n",
       "3                 Glen Stewart Ravine       43.676300       -79.294784   \n",
       "4                       Upper Beaches       43.680563       -79.292869   \n",
       "\n",
       "         Venue Category  \n",
       "0                 Trail  \n",
       "1     Health Food Store  \n",
       "2                   Pub  \n",
       "3  Other Great Outdoors  \n",
       "4          Neighborhood  "
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(Toronto_venues.shape)\n",
    "Toronto_venues.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Lets check the venues for each neighbourhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>Adelaide, King, Richmond</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Berczy Park</th>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brockton, Exhibition Place, Parkdale Village</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Business Reply Mail Processing Centre 969 Eastern</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cabbagetown, St. James Town</th>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Bay Street</th>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinatown, Grange Park, Kensington Market</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Christie</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Church and Wellesley</th>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Commerce Court, Victoria Hotel</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Davisville</th>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Davisville North</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Design Exchange, Toronto Dominion Centre</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dovercourt Village, Dufferin</th>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>First Canadian Place, Underground city</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forest Hill North, Forest Hill West</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harbord, University of Toronto</th>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harbourfront East, Toronto Islands, Union Station</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harbourfront, Regent Park</th>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High Park, The Junction South</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lawrence Park</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Little Portugal, Trinity</th>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moore Park, Summerhill East</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Toronto West</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parkdale, Roncesvalles</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rosedale</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roselawn</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Runnymede, Swansea</th>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ryerson, Garden District</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St. James Town</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stn A PO Boxes 25 The Esplanade</th>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Studio District</th>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Annex, North Midtown, Yorkville</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Beaches</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>The Beaches West, India Bazaar</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Danforth West, Riverdale</th>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Neighborhood Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Adelaide, King, Richmond                                              100   \n",
       "Berczy Park                                                            55   \n",
       "Brockton, Exhibition Place, Parkdale Village                           22   \n",
       "Business Reply Mail Processing Centre 969 Eastern                      19   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...                     16   \n",
       "Cabbagetown, St. James Town                                            46   \n",
       "Central Bay Street                                                     88   \n",
       "Chinatown, Grange Park, Kensington Market                             100   \n",
       "Christie                                                               15   \n",
       "Church and Wellesley                                                   87   \n",
       "Commerce Court, Victoria Hotel                                        100   \n",
       "Davisville                                                             38   \n",
       "Davisville North                                                        9   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...                     14   \n",
       "Design Exchange, Toronto Dominion Centre                              100   \n",
       "Dovercourt Village, Dufferin                                           20   \n",
       "First Canadian Place, Underground city                                100   \n",
       "Forest Hill North, Forest Hill West                                     4   \n",
       "Harbord, University of Toronto                                         34   \n",
       "Harbourfront East, Toronto Islands, Union Station                     100   \n",
       "Harbourfront, Regent Park                                              48   \n",
       "High Park, The Junction South                                          23   \n",
       "Lawrence Park                                                           3   \n",
       "Little Portugal, Trinity                                               62   \n",
       "Moore Park, Summerhill East                                             2   \n",
       "North Toronto West                                                     16   \n",
       "Parkdale, Roncesvalles                                                 15   \n",
       "Rosedale                                                                4   \n",
       "Roselawn                                                                2   \n",
       "Runnymede, Swansea                                                     38   \n",
       "Ryerson, Garden District                                              100   \n",
       "St. James Town                                                        100   \n",
       "Stn A PO Boxes 25 The Esplanade                                        94   \n",
       "Studio District                                                        38   \n",
       "The Annex, North Midtown, Yorkville                                    23   \n",
       "The Beaches                                                             5   \n",
       "The Beaches West, India Bazaar                                         18   \n",
       "The Danforth West, Riverdale                                           42   \n",
       "\n",
       "                                                    Neighborhood Longitude  \\\n",
       "Neighborhood                                                                 \n",
       "Adelaide, King, Richmond                                               100   \n",
       "Berczy Park                                                             55   \n",
       "Brockton, Exhibition Place, Parkdale Village                            22   \n",
       "Business Reply Mail Processing Centre 969 Eastern                       19   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...                      16   \n",
       "Cabbagetown, St. James Town                                             46   \n",
       "Central Bay Street                                                      88   \n",
       "Chinatown, Grange Park, Kensington Market                              100   \n",
       "Christie                                                                15   \n",
       "Church and Wellesley                                                    87   \n",
       "Commerce Court, Victoria Hotel                                         100   \n",
       "Davisville                                                              38   \n",
       "Davisville North                                                         9   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...                      14   \n",
       "Design Exchange, Toronto Dominion Centre                               100   \n",
       "Dovercourt Village, Dufferin                                            20   \n",
       "First Canadian Place, Underground city                                 100   \n",
       "Forest Hill North, Forest Hill West                                      4   \n",
       "Harbord, University of Toronto                                          34   \n",
       "Harbourfront East, Toronto Islands, Union Station                      100   \n",
       "Harbourfront, Regent Park                                               48   \n",
       "High Park, The Junction South                                           23   \n",
       "Lawrence Park                                                            3   \n",
       "Little Portugal, Trinity                                                62   \n",
       "Moore Park, Summerhill East                                              2   \n",
       "North Toronto West                                                      16   \n",
       "Parkdale, Roncesvalles                                                  15   \n",
       "Rosedale                                                                 4   \n",
       "Roselawn                                                                 2   \n",
       "Runnymede, Swansea                                                      38   \n",
       "Ryerson, Garden District                                               100   \n",
       "St. James Town                                                         100   \n",
       "Stn A PO Boxes 25 The Esplanade                                         94   \n",
       "Studio District                                                         38   \n",
       "The Annex, North Midtown, Yorkville                                     23   \n",
       "The Beaches                                                              5   \n",
       "The Beaches West, India Bazaar                                          18   \n",
       "The Danforth West, Riverdale                                            42   \n",
       "\n",
       "                                                    Venue  Venue Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Adelaide, King, Richmond                              100             100   \n",
       "Berczy Park                                            55              55   \n",
       "Brockton, Exhibition Place, Parkdale Village           22              22   \n",
       "Business Reply Mail Processing Centre 969 Eastern      19              19   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...     16              16   \n",
       "Cabbagetown, St. James Town                            46              46   \n",
       "Central Bay Street                                     88              88   \n",
       "Chinatown, Grange Park, Kensington Market             100             100   \n",
       "Christie                                               15              15   \n",
       "Church and Wellesley                                   87              87   \n",
       "Commerce Court, Victoria Hotel                        100             100   \n",
       "Davisville                                             38              38   \n",
       "Davisville North                                        9               9   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...     14              14   \n",
       "Design Exchange, Toronto Dominion Centre              100             100   \n",
       "Dovercourt Village, Dufferin                           20              20   \n",
       "First Canadian Place, Underground city                100             100   \n",
       "Forest Hill North, Forest Hill West                     4               4   \n",
       "Harbord, University of Toronto                         34              34   \n",
       "Harbourfront East, Toronto Islands, Union Station     100             100   \n",
       "Harbourfront, Regent Park                              48              48   \n",
       "High Park, The Junction South                          23              23   \n",
       "Lawrence Park                                           3               3   \n",
       "Little Portugal, Trinity                               62              62   \n",
       "Moore Park, Summerhill East                             2               2   \n",
       "North Toronto West                                     16              16   \n",
       "Parkdale, Roncesvalles                                 15              15   \n",
       "Rosedale                                                4               4   \n",
       "Roselawn                                                2               2   \n",
       "Runnymede, Swansea                                     38              38   \n",
       "Ryerson, Garden District                              100             100   \n",
       "St. James Town                                        100             100   \n",
       "Stn A PO Boxes 25 The Esplanade                        94              94   \n",
       "Studio District                                        38              38   \n",
       "The Annex, North Midtown, Yorkville                    23              23   \n",
       "The Beaches                                             5               5   \n",
       "The Beaches West, India Bazaar                         18              18   \n",
       "The Danforth West, Riverdale                           42              42   \n",
       "\n",
       "                                                    Venue Longitude  \\\n",
       "Neighborhood                                                          \n",
       "Adelaide, King, Richmond                                        100   \n",
       "Berczy Park                                                      55   \n",
       "Brockton, Exhibition Place, Parkdale Village                     22   \n",
       "Business Reply Mail Processing Centre 969 Eastern                19   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...               16   \n",
       "Cabbagetown, St. James Town                                      46   \n",
       "Central Bay Street                                               88   \n",
       "Chinatown, Grange Park, Kensington Market                       100   \n",
       "Christie                                                         15   \n",
       "Church and Wellesley                                             87   \n",
       "Commerce Court, Victoria Hotel                                  100   \n",
       "Davisville                                                       38   \n",
       "Davisville North                                                  9   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...               14   \n",
       "Design Exchange, Toronto Dominion Centre                        100   \n",
       "Dovercourt Village, Dufferin                                     20   \n",
       "First Canadian Place, Underground city                          100   \n",
       "Forest Hill North, Forest Hill West                               4   \n",
       "Harbord, University of Toronto                                   34   \n",
       "Harbourfront East, Toronto Islands, Union Station               100   \n",
       "Harbourfront, Regent Park                                        48   \n",
       "High Park, The Junction South                                    23   \n",
       "Lawrence Park                                                     3   \n",
       "Little Portugal, Trinity                                         62   \n",
       "Moore Park, Summerhill East                                       2   \n",
       "North Toronto West                                               16   \n",
       "Parkdale, Roncesvalles                                           15   \n",
       "Rosedale                                                          4   \n",
       "Roselawn                                                          2   \n",
       "Runnymede, Swansea                                               38   \n",
       "Ryerson, Garden District                                        100   \n",
       "St. James Town                                                  100   \n",
       "Stn A PO Boxes 25 The Esplanade                                  94   \n",
       "Studio District                                                  38   \n",
       "The Annex, North Midtown, Yorkville                              23   \n",
       "The Beaches                                                       5   \n",
       "The Beaches West, India Bazaar                                   18   \n",
       "The Danforth West, Riverdale                                     42   \n",
       "\n",
       "                                                    Venue Category  \n",
       "Neighborhood                                                        \n",
       "Adelaide, King, Richmond                                       100  \n",
       "Berczy Park                                                     55  \n",
       "Brockton, Exhibition Place, Parkdale Village                    22  \n",
       "Business Reply Mail Processing Centre 969 Eastern               19  \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...              16  \n",
       "Cabbagetown, St. James Town                                     46  \n",
       "Central Bay Street                                              88  \n",
       "Chinatown, Grange Park, Kensington Market                      100  \n",
       "Christie                                                        15  \n",
       "Church and Wellesley                                            87  \n",
       "Commerce Court, Victoria Hotel                                 100  \n",
       "Davisville                                                      38  \n",
       "Davisville North                                                 9  \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...              14  \n",
       "Design Exchange, Toronto Dominion Centre                       100  \n",
       "Dovercourt Village, Dufferin                                    20  \n",
       "First Canadian Place, Underground city                         100  \n",
       "Forest Hill North, Forest Hill West                              4  \n",
       "Harbord, University of Toronto                                  34  \n",
       "Harbourfront East, Toronto Islands, Union Station              100  \n",
       "Harbourfront, Regent Park                                       48  \n",
       "High Park, The Junction South                                   23  \n",
       "Lawrence Park                                                    3  \n",
       "Little Portugal, Trinity                                        62  \n",
       "Moore Park, Summerhill East                                      2  \n",
       "North Toronto West                                              16  \n",
       "Parkdale, Roncesvalles                                          15  \n",
       "Rosedale                                                         4  \n",
       "Roselawn                                                         2  \n",
       "Runnymede, Swansea                                              38  \n",
       "Ryerson, Garden District                                       100  \n",
       "St. James Town                                                 100  \n",
       "Stn A PO Boxes 25 The Esplanade                                 94  \n",
       "Studio District                                                 38  \n",
       "The Annex, North Midtown, Yorkville                             23  \n",
       "The Beaches                                                      5  \n",
       "The Beaches West, India Bazaar                                  18  \n",
       "The Danforth West, Riverdale                                    42  "
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_venues.groupby('Neighborhood').count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We will get the distinct categories from all the available venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 238 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(Toronto_venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We will now analyze each of these neighborhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Adult Boutique</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>...</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</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>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\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>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 238 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Yoga Studio  Adult Boutique  Afghan Restaurant  Airport  \\\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 Food Court  Airport Gate  Airport Lounge  Airport Service  \\\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 Terminal  American Restaurant  ...  Toy / Game Store  Trail  \\\n",
       "0                 0                    0  ...                 0      1   \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",
       "   Train Station  Vegetarian / Vegan Restaurant  Video Game 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",
       "   Video Store  Vietnamese Restaurant  Wine Bar  Wings Joint  Women's 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",
       "[5 rows x 238 columns]"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "Toronto_onehot = pd.get_dummies(Toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add neighborhood column back to dataframe\n",
    "Toronto_onehot['Neighborhood'] = Toronto_venues['Neighborhood'] \n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [Toronto_onehot.columns[-1]] + list(Toronto_onehot.columns[:-1])\n",
    "Toronto_onehot = Toronto_onehot[fixed_columns]\n",
    "\n",
    "Toronto_onehot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1700, 238)"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_onehot.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### we will group rows by neighborhood and by taking the mean of the frequency of occurrence of each category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Adult Boutique</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>...</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</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>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
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       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.018182</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.125</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Cabbagetown, St. James Town</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Chinatown, Grange Park, Kensington Market</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Christie</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>0.011494</td>\n",
       "      <td>0.011494</td>\n",
       "      <td>0.011494</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011494</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011494</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011494</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Davisville</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026316</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Davisville North</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Deer Park, Forest Hill SE, Rathnelly, South Hi...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Design Exchange, Toronto Dominion Centre</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Dovercourt Village, Dufferin</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Forest Hill North, Forest Hill West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Harbord, University of Toronto</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Harbourfront East, Toronto Islands, Union Station</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Harbourfront, Regent Park</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>High Park, The Junction South</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>0.016129</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.016129</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.032258</td>\n",
       "      <td>0.016129</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Rosedale</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.026316</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30 rows × 238 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood  Yoga Studio  \\\n",
       "0                            Adelaide, King, Richmond     0.000000   \n",
       "1                                         Berczy Park     0.000000   \n",
       "2        Brockton, Exhibition Place, Parkdale Village     0.045455   \n",
       "3   Business Reply Mail Processing Centre 969 Eastern     0.052632   \n",
       "4   CN Tower, Bathurst Quay, Island airport, Harbo...     0.000000   \n",
       "5                         Cabbagetown, St. James Town     0.000000   \n",
       "6                                  Central Bay Street     0.011364   \n",
       "7           Chinatown, Grange Park, Kensington Market     0.000000   \n",
       "8                                            Christie     0.000000   \n",
       "9                                Church and Wellesley     0.011494   \n",
       "10                     Commerce Court, Victoria Hotel     0.000000   \n",
       "11                                         Davisville     0.000000   \n",
       "12                                   Davisville North     0.000000   \n",
       "13  Deer Park, Forest Hill SE, Rathnelly, South Hi...     0.000000   \n",
       "14           Design Exchange, Toronto Dominion Centre     0.000000   \n",
       "15                       Dovercourt Village, Dufferin     0.000000   \n",
       "16             First Canadian Place, Underground city     0.000000   \n",
       "17                Forest Hill North, Forest Hill West     0.000000   \n",
       "18                     Harbord, University of Toronto     0.000000   \n",
       "19  Harbourfront East, Toronto Islands, Union Station     0.000000   \n",
       "20                          Harbourfront, Regent Park     0.020833   \n",
       "21                      High Park, The Junction South     0.000000   \n",
       "22                                      Lawrence Park     0.000000   \n",
       "23                           Little Portugal, Trinity     0.016129   \n",
       "24                        Moore Park, Summerhill East     0.000000   \n",
       "25                                 North Toronto West     0.062500   \n",
       "26                             Parkdale, Roncesvalles     0.000000   \n",
       "27                                           Rosedale     0.000000   \n",
       "28                                           Roselawn     0.000000   \n",
       "29                                 Runnymede, Swansea     0.000000   \n",
       "\n",
       "    Adult Boutique  Afghan Restaurant  Airport  Airport Food Court  \\\n",
       "0         0.000000           0.000000   0.0000              0.0000   \n",
       "1         0.000000           0.000000   0.0000              0.0000   \n",
       "2         0.000000           0.000000   0.0000              0.0000   \n",
       "3         0.000000           0.000000   0.0000              0.0000   \n",
       "4         0.000000           0.000000   0.0625              0.0625   \n",
       "5         0.000000           0.000000   0.0000              0.0000   \n",
       "6         0.000000           0.000000   0.0000              0.0000   \n",
       "7         0.000000           0.000000   0.0000              0.0000   \n",
       "8         0.000000           0.000000   0.0000              0.0000   \n",
       "9         0.011494           0.011494   0.0000              0.0000   \n",
       "10        0.000000           0.000000   0.0000              0.0000   \n",
       "11        0.000000           0.000000   0.0000              0.0000   \n",
       "12        0.000000           0.000000   0.0000              0.0000   \n",
       "13        0.000000           0.000000   0.0000              0.0000   \n",
       "14        0.000000           0.000000   0.0000              0.0000   \n",
       "15        0.000000           0.000000   0.0000              0.0000   \n",
       "16        0.000000           0.000000   0.0000              0.0000   \n",
       "17        0.000000           0.000000   0.0000              0.0000   \n",
       "18        0.000000           0.000000   0.0000              0.0000   \n",
       "19        0.000000           0.000000   0.0000              0.0000   \n",
       "20        0.000000           0.000000   0.0000              0.0000   \n",
       "21        0.000000           0.000000   0.0000              0.0000   \n",
       "22        0.000000           0.000000   0.0000              0.0000   \n",
       "23        0.000000           0.000000   0.0000              0.0000   \n",
       "24        0.000000           0.000000   0.0000              0.0000   \n",
       "25        0.000000           0.000000   0.0000              0.0000   \n",
       "26        0.000000           0.000000   0.0000              0.0000   \n",
       "27        0.000000           0.000000   0.0000              0.0000   \n",
       "28        0.000000           0.000000   0.0000              0.0000   \n",
       "29        0.000000           0.000000   0.0000              0.0000   \n",
       "\n",
       "    Airport Gate  Airport Lounge  Airport Service  Airport Terminal  ...  \\\n",
       "0         0.0000           0.000            0.000             0.000  ...   \n",
       "1         0.0000           0.000            0.000             0.000  ...   \n",
       "2         0.0000           0.000            0.000             0.000  ...   \n",
       "3         0.0000           0.000            0.000             0.000  ...   \n",
       "4         0.0625           0.125            0.125             0.125  ...   \n",
       "5         0.0000           0.000            0.000             0.000  ...   \n",
       "6         0.0000           0.000            0.000             0.000  ...   \n",
       "7         0.0000           0.000            0.000             0.000  ...   \n",
       "8         0.0000           0.000            0.000             0.000  ...   \n",
       "9         0.0000           0.000            0.000             0.000  ...   \n",
       "10        0.0000           0.000            0.000             0.000  ...   \n",
       "11        0.0000           0.000            0.000             0.000  ...   \n",
       "12        0.0000           0.000            0.000             0.000  ...   \n",
       "13        0.0000           0.000            0.000             0.000  ...   \n",
       "14        0.0000           0.000            0.000             0.000  ...   \n",
       "15        0.0000           0.000            0.000             0.000  ...   \n",
       "16        0.0000           0.000            0.000             0.000  ...   \n",
       "17        0.0000           0.000            0.000             0.000  ...   \n",
       "18        0.0000           0.000            0.000             0.000  ...   \n",
       "19        0.0000           0.000            0.000             0.000  ...   \n",
       "20        0.0000           0.000            0.000             0.000  ...   \n",
       "21        0.0000           0.000            0.000             0.000  ...   \n",
       "22        0.0000           0.000            0.000             0.000  ...   \n",
       "23        0.0000           0.000            0.000             0.000  ...   \n",
       "24        0.0000           0.000            0.000             0.000  ...   \n",
       "25        0.0000           0.000            0.000             0.000  ...   \n",
       "26        0.0000           0.000            0.000             0.000  ...   \n",
       "27        0.0000           0.000            0.000             0.000  ...   \n",
       "28        0.0000           0.000            0.000             0.000  ...   \n",
       "29        0.0000           0.000            0.000             0.000  ...   \n",
       "\n",
       "    Toy / Game Store  Trail  Train Station  Vegetarian / Vegan Restaurant  \\\n",
       "0           0.000000   0.00           0.00                       0.010000   \n",
       "1           0.000000   0.00           0.00                       0.018182   \n",
       "2           0.000000   0.00           0.00                       0.000000   \n",
       "3           0.000000   0.00           0.00                       0.000000   \n",
       "4           0.000000   0.00           0.00                       0.000000   \n",
       "5           0.000000   0.00           0.00                       0.000000   \n",
       "6           0.000000   0.00           0.00                       0.011364   \n",
       "7           0.010000   0.00           0.00                       0.060000   \n",
       "8           0.000000   0.00           0.00                       0.000000   \n",
       "9           0.000000   0.00           0.00                       0.000000   \n",
       "10          0.000000   0.00           0.00                       0.020000   \n",
       "11          0.026316   0.00           0.00                       0.000000   \n",
       "12          0.000000   0.00           0.00                       0.000000   \n",
       "13          0.000000   0.00           0.00                       0.000000   \n",
       "14          0.000000   0.00           0.01                       0.010000   \n",
       "15          0.000000   0.00           0.00                       0.000000   \n",
       "16          0.000000   0.00           0.01                       0.010000   \n",
       "17          0.000000   0.25           0.00                       0.000000   \n",
       "18          0.000000   0.00           0.00                       0.000000   \n",
       "19          0.000000   0.00           0.01                       0.010000   \n",
       "20          0.000000   0.00           0.00                       0.000000   \n",
       "21          0.000000   0.00           0.00                       0.000000   \n",
       "22          0.000000   0.00           0.00                       0.000000   \n",
       "23          0.000000   0.00           0.00                       0.016129   \n",
       "24          0.000000   0.00           0.00                       0.000000   \n",
       "25          0.000000   0.00           0.00                       0.000000   \n",
       "26          0.000000   0.00           0.00                       0.000000   \n",
       "27          0.000000   0.25           0.00                       0.000000   \n",
       "28          0.000000   0.00           0.00                       0.000000   \n",
       "29          0.000000   0.00           0.00                       0.026316   \n",
       "\n",
       "    Video Game Store  Video Store  Vietnamese Restaurant  Wine Bar  \\\n",
       "0           0.000000     0.000000               0.000000  0.010000   \n",
       "1           0.000000     0.000000               0.000000  0.000000   \n",
       "2           0.000000     0.000000               0.000000  0.000000   \n",
       "3           0.000000     0.000000               0.000000  0.000000   \n",
       "4           0.000000     0.000000               0.000000  0.000000   \n",
       "5           0.000000     0.000000               0.000000  0.000000   \n",
       "6           0.000000     0.011364               0.000000  0.011364   \n",
       "7           0.000000     0.000000               0.030000  0.010000   \n",
       "8           0.000000     0.000000               0.000000  0.000000   \n",
       "9           0.011494     0.000000               0.011494  0.000000   \n",
       "10          0.000000     0.000000               0.000000  0.010000   \n",
       "11          0.000000     0.000000               0.000000  0.000000   \n",
       "12          0.000000     0.000000               0.000000  0.000000   \n",
       "13          0.000000     0.000000               0.071429  0.000000   \n",
       "14          0.000000     0.000000               0.000000  0.010000   \n",
       "15          0.000000     0.000000               0.000000  0.000000   \n",
       "16          0.000000     0.000000               0.000000  0.010000   \n",
       "17          0.000000     0.000000               0.000000  0.000000   \n",
       "18          0.029412     0.000000               0.000000  0.000000   \n",
       "19          0.000000     0.000000               0.000000  0.010000   \n",
       "20          0.000000     0.000000               0.000000  0.000000   \n",
       "21          0.000000     0.000000               0.000000  0.000000   \n",
       "22          0.000000     0.000000               0.000000  0.000000   \n",
       "23          0.000000     0.000000               0.032258  0.016129   \n",
       "24          0.000000     0.000000               0.000000  0.000000   \n",
       "25          0.000000     0.000000               0.000000  0.000000   \n",
       "26          0.000000     0.000000               0.000000  0.000000   \n",
       "27          0.000000     0.000000               0.000000  0.000000   \n",
       "28          0.000000     0.000000               0.000000  0.000000   \n",
       "29          0.000000     0.000000               0.000000  0.000000   \n",
       "\n",
       "    Wings Joint  Women's Store  \n",
       "0      0.000000            0.0  \n",
       "1      0.000000            0.0  \n",
       "2      0.000000            0.0  \n",
       "3      0.000000            0.0  \n",
       "4      0.000000            0.0  \n",
       "5      0.000000            0.0  \n",
       "6      0.000000            0.0  \n",
       "7      0.000000            0.0  \n",
       "8      0.000000            0.0  \n",
       "9      0.011494            0.0  \n",
       "10     0.000000            0.0  \n",
       "11     0.000000            0.0  \n",
       "12     0.000000            0.0  \n",
       "13     0.000000            0.0  \n",
       "14     0.000000            0.0  \n",
       "15     0.000000            0.0  \n",
       "16     0.000000            0.0  \n",
       "17     0.000000            0.0  \n",
       "18     0.000000            0.0  \n",
       "19     0.000000            0.0  \n",
       "20     0.000000            0.0  \n",
       "21     0.000000            0.0  \n",
       "22     0.000000            0.0  \n",
       "23     0.000000            0.0  \n",
       "24     0.000000            0.0  \n",
       "25     0.000000            0.0  \n",
       "26     0.000000            0.0  \n",
       "27     0.000000            0.0  \n",
       "28     0.000000            0.0  \n",
       "29     0.000000            0.0  \n",
       "\n",
       "[30 rows x 238 columns]"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_grouped = Toronto_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "Toronto_grouped.head(30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let us see the shape of new df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(38, 238)"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_grouped.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let us get the each negighbourhood with top 5 of its respective venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Adelaide, King, Richmond----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.06\n",
      "1                 Café  0.05\n",
      "2           Steakhouse  0.04\n",
      "3  American Restaurant  0.04\n",
      "4                  Bar  0.04\n",
      "\n",
      "\n",
      "----Berczy Park----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.09\n",
      "1        Cocktail Bar  0.05\n",
      "2  Italian Restaurant  0.04\n",
      "3                Café  0.04\n",
      "4            Beer Bar  0.04\n",
      "\n",
      "\n",
      "----Brockton, Exhibition Place, Parkdale Village----\n",
      "            venue  freq\n",
      "0  Breakfast Spot  0.09\n",
      "1            Café  0.09\n",
      "2     Coffee Shop  0.09\n",
      "3     Yoga Studio  0.05\n",
      "4   Grocery Store  0.05\n",
      "\n",
      "\n",
      "----Business Reply Mail Processing Centre 969 Eastern----\n",
      "              venue  freq\n",
      "0       Yoga Studio  0.05\n",
      "1     Auto Workshop  0.05\n",
      "2              Park  0.05\n",
      "3        Comic Shop  0.05\n",
      "4  Recording Studio  0.05\n",
      "\n",
      "\n",
      "----CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara----\n",
      "              venue  freq\n",
      "0    Airport Lounge  0.12\n",
      "1   Airport Service  0.12\n",
      "2  Airport Terminal  0.12\n",
      "3          Boutique  0.06\n",
      "4             Plane  0.06\n",
      "\n",
      "\n",
      "----Cabbagetown, St. James Town----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.09\n",
      "1          Restaurant  0.07\n",
      "2                 Pub  0.04\n",
      "3         Pizza Place  0.04\n",
      "4  Italian Restaurant  0.04\n",
      "\n",
      "\n",
      "----Central Bay Street----\n",
      "                       venue  freq\n",
      "0                Coffee Shop  0.16\n",
      "1                       Café  0.05\n",
      "2         Italian Restaurant  0.05\n",
      "3               Burger Joint  0.03\n",
      "4  Middle Eastern Restaurant  0.03\n",
      "\n",
      "\n",
      "----Chinatown, Grange Park, Kensington Market----\n",
      "                           venue  freq\n",
      "0                           Café  0.08\n",
      "1  Vegetarian / Vegan Restaurant  0.06\n",
      "2             Mexican Restaurant  0.04\n",
      "3            Dumpling Restaurant  0.04\n",
      "4                            Bar  0.04\n",
      "\n",
      "\n",
      "----Christie----\n",
      "               venue  freq\n",
      "0      Grocery Store  0.20\n",
      "1               Café  0.20\n",
      "2               Park  0.13\n",
      "3  Convenience Store  0.07\n",
      "4         Baby Store  0.07\n",
      "\n",
      "\n",
      "----Church and Wellesley----\n",
      "                 venue  freq\n",
      "0  Japanese Restaurant  0.07\n",
      "1          Coffee Shop  0.07\n",
      "2     Sushi Restaurant  0.06\n",
      "3              Gay Bar  0.03\n",
      "4           Restaurant  0.03\n",
      "\n",
      "\n",
      "----Commerce Court, Victoria Hotel----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.12\n",
      "1                Café  0.07\n",
      "2               Hotel  0.06\n",
      "3          Restaurant  0.04\n",
      "4  Italian Restaurant  0.03\n",
      "\n",
      "\n",
      "----Davisville----\n",
      "            venue  freq\n",
      "0     Pizza Place  0.11\n",
      "1    Dessert Shop  0.08\n",
      "2  Sandwich Place  0.08\n",
      "3     Coffee Shop  0.05\n",
      "4            Café  0.05\n",
      "\n",
      "\n",
      "----Davisville North----\n",
      "            venue  freq\n",
      "0      Playground  0.11\n",
      "1  Sandwich Place  0.11\n",
      "2  Clothing Store  0.11\n",
      "3            Park  0.11\n",
      "4   Grocery Store  0.11\n",
      "\n",
      "\n",
      "----Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West----\n",
      "                venue  freq\n",
      "0                 Pub  0.14\n",
      "1         Coffee Shop  0.14\n",
      "2  Light Rail Station  0.07\n",
      "3         Pizza Place  0.07\n",
      "4          Bagel Shop  0.07\n",
      "\n",
      "\n",
      "----Design Exchange, Toronto Dominion Centre----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.13\n",
      "1         Café  0.07\n",
      "2        Hotel  0.07\n",
      "3   Restaurant  0.05\n",
      "4       Bakery  0.04\n",
      "\n",
      "\n",
      "----Dovercourt Village, Dufferin----\n",
      "                       venue  freq\n",
      "0                   Pharmacy  0.10\n",
      "1                Supermarket  0.10\n",
      "2                     Bakery  0.10\n",
      "3  Middle Eastern Restaurant  0.05\n",
      "4               Liquor Store  0.05\n",
      "\n",
      "\n",
      "----First Canadian Place, Underground city----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.11\n",
      "1         Café  0.07\n",
      "2        Hotel  0.06\n",
      "3   Steakhouse  0.04\n",
      "4   Restaurant  0.04\n",
      "\n",
      "\n",
      "----Forest Hill North, Forest Hill West----\n",
      "                venue  freq\n",
      "0                Park  0.25\n",
      "1               Trail  0.25\n",
      "2    Sushi Restaurant  0.25\n",
      "3       Jewelry Store  0.25\n",
      "4  Miscellaneous Shop  0.00\n",
      "\n",
      "\n",
      "----Harbord, University of Toronto----\n",
      "                 venue  freq\n",
      "0                 Café  0.12\n",
      "1   Italian Restaurant  0.06\n",
      "2  Japanese Restaurant  0.06\n",
      "3                  Bar  0.06\n",
      "4               Bakery  0.06\n",
      "\n",
      "\n",
      "----Harbourfront East, Toronto Islands, Union Station----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.12\n",
      "1               Hotel  0.05\n",
      "2            Aquarium  0.05\n",
      "3  Italian Restaurant  0.04\n",
      "4                Café  0.04\n",
      "\n",
      "\n",
      "----Harbourfront, Regent Park----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.17\n",
      "1                Park  0.06\n",
      "2              Bakery  0.06\n",
      "3                 Pub  0.06\n",
      "4  Mexican Restaurant  0.04\n",
      "\n",
      "\n",
      "----High Park, The Junction South----\n",
      "                    venue  freq\n",
      "0                    Café  0.09\n",
      "1      Mexican Restaurant  0.09\n",
      "2                     Bar  0.09\n",
      "3  Furniture / Home Store  0.04\n",
      "4                    Park  0.04\n",
      "\n",
      "\n",
      "----Lawrence Park----\n",
      "                     venue  freq\n",
      "0                     Park  0.33\n",
      "1              Swim School  0.33\n",
      "2                 Bus Line  0.33\n",
      "3              Yoga Studio  0.00\n",
      "4  New American Restaurant  0.00\n",
      "\n",
      "\n",
      "----Little Portugal, Trinity----\n",
      "              venue  freq\n",
      "0               Bar  0.13\n",
      "1       Men's Store  0.05\n",
      "2  Asian Restaurant  0.05\n",
      "3       Coffee Shop  0.05\n",
      "4        Restaurant  0.03\n",
      "\n",
      "\n",
      "----Moore Park, Summerhill East----\n",
      "          venue  freq\n",
      "0    Playground   0.5\n",
      "1  Tennis Court   0.5\n",
      "2         Plane   0.0\n",
      "3   Pizza Place   0.0\n",
      "4   Men's Store   0.0\n",
      "\n",
      "\n",
      "----North Toronto West----\n",
      "                  venue  freq\n",
      "0           Coffee Shop  0.12\n",
      "1           Yoga Studio  0.06\n",
      "2  Fast Food Restaurant  0.06\n",
      "3                   Spa  0.06\n",
      "4    Chinese Restaurant  0.06\n",
      "\n",
      "\n",
      "----Parkdale, Roncesvalles----\n",
      "            venue  freq\n",
      "0       Gift Shop  0.13\n",
      "1  Breakfast Spot  0.13\n",
      "2       Bookstore  0.07\n",
      "3    Dessert Shop  0.07\n",
      "4         Dog Run  0.07\n",
      "\n",
      "\n",
      "----Rosedale----\n",
      "         venue  freq\n",
      "0         Park  0.50\n",
      "1   Playground  0.25\n",
      "2        Trail  0.25\n",
      "3    Nightclub  0.00\n",
      "4  Men's Store  0.00\n",
      "\n",
      "\n",
      "----Roselawn----\n",
      "                venue  freq\n",
      "0      Ice Cream Shop   0.5\n",
      "1              Garden   0.5\n",
      "2         Yoga Studio   0.0\n",
      "3           Nightclub   0.0\n",
      "4  Mexican Restaurant   0.0\n",
      "\n",
      "\n",
      "----Runnymede, Swansea----\n",
      "                venue  freq\n",
      "0                Café  0.08\n",
      "1         Pizza Place  0.08\n",
      "2         Coffee Shop  0.08\n",
      "3               Diner  0.05\n",
      "4  Italian Restaurant  0.05\n",
      "\n",
      "\n",
      "----Ryerson, Garden District----\n",
      "                       venue  freq\n",
      "0                Coffee Shop  0.10\n",
      "1             Clothing Store  0.08\n",
      "2             Cosmetics Shop  0.04\n",
      "3                       Café  0.04\n",
      "4  Middle Eastern Restaurant  0.03\n",
      "\n",
      "\n",
      "----St. James Town----\n",
      "         venue  freq\n",
      "0         Café  0.06\n",
      "1  Coffee Shop  0.06\n",
      "2        Hotel  0.05\n",
      "3   Restaurant  0.05\n",
      "4    Gastropub  0.03\n",
      "\n",
      "\n",
      "----Stn A PO Boxes 25 The Esplanade----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.11\n",
      "1                Café  0.04\n",
      "2          Restaurant  0.04\n",
      "3        Cocktail Bar  0.03\n",
      "4  Italian Restaurant  0.03\n",
      "\n",
      "\n",
      "----Studio District----\n",
      "                venue  freq\n",
      "0                Café  0.11\n",
      "1         Coffee Shop  0.08\n",
      "2  Italian Restaurant  0.05\n",
      "3              Bakery  0.05\n",
      "4           Gastropub  0.05\n",
      "\n",
      "\n",
      "----The Annex, North Midtown, Yorkville----\n",
      "            venue  freq\n",
      "0            Café  0.13\n",
      "1  Sandwich Place  0.13\n",
      "2     Coffee Shop  0.13\n",
      "3     Pizza Place  0.09\n",
      "4  History Museum  0.04\n",
      "\n",
      "\n",
      "----The Beaches----\n",
      "                  venue  freq\n",
      "0     Health Food Store   0.2\n",
      "1                   Pub   0.2\n",
      "2  Other Great Outdoors   0.2\n",
      "3                 Trail   0.2\n",
      "4           Yoga Studio   0.0\n",
      "\n",
      "\n",
      "----The Beaches West, India Bazaar----\n",
      "              venue  freq\n",
      "0              Park  0.11\n",
      "1               Gym  0.06\n",
      "2  Sushi Restaurant  0.06\n",
      "3    Sandwich Place  0.06\n",
      "4        Steakhouse  0.06\n",
      "\n",
      "\n",
      "----The Danforth West, Riverdale----\n",
      "                    venue  freq\n",
      "0        Greek Restaurant  0.21\n",
      "1             Coffee Shop  0.10\n",
      "2          Ice Cream Shop  0.07\n",
      "3      Italian Restaurant  0.07\n",
      "4  Furniture / Home Store  0.05\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_top_venues = 5\n",
    "\n",
    "for hood in Toronto_grouped['Neighborhood']:\n",
    "    print(\"----\"+hood+\"----\")\n",
    "    temp = Toronto_grouped[Toronto_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')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### We will put these neighbourhoods into a dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Also we will sort these in descending order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "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]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Now let's create the new dataframe and display the top 10 venues for each neighborhood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>Adelaide, King, Richmond</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Climbing Gym</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Recording Studio</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Butcher</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Skate Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Airport Gate</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhood 1st Most Common Venue  \\\n",
       "0                           Adelaide, King, Richmond           Coffee Shop   \n",
       "1                                        Berczy Park           Coffee Shop   \n",
       "2       Brockton, Exhibition Place, Parkdale Village           Coffee Shop   \n",
       "3  Business Reply Mail Processing Centre 969 Eastern           Yoga Studio   \n",
       "4  CN Tower, Bathurst Quay, Island airport, Harbo...       Airport Service   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0                  Café                   Bar   American Restaurant   \n",
       "1          Cocktail Bar    Seafood Restaurant                  Café   \n",
       "2                  Café        Breakfast Spot           Yoga Studio   \n",
       "3         Auto Workshop           Pizza Place  Gym / Fitness Center   \n",
       "4      Airport Terminal        Airport Lounge         Boat or Ferry   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0            Steakhouse       Thai Restaurant        Cosmetics Shop   \n",
       "1           Cheese Shop        Farmers Market            Steakhouse   \n",
       "2    Italian Restaurant     Convenience Store             Pet Store   \n",
       "3      Recording Studio            Restaurant               Butcher   \n",
       "4           Coffee Shop      Sculpture Garden                   Bar   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0                 Hotel            Restaurant           Burger Joint  \n",
       "1                Bakery              Beer Bar     Italian Restaurant  \n",
       "2          Climbing Gym            Restaurant   Caribbean Restaurant  \n",
       "3         Burrito Place               Brewery             Skate Park  \n",
       "4              Boutique                 Plane           Airport Gate  "
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\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",
    "# create a new dataframe\n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhood'] = Toronto_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(Toronto_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(Toronto_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## We will Cluster the Neighborhoods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### We will use k-means clustering to cluster the neighborhoods into 5 clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0], dtype=int32)"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 5\n",
    "\n",
    "Toronto_grouped_clustering = Toronto_grouped.drop('Neighborhood', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(Toronto_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:10] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4K</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>43.679557</td>\n",
       "      <td>-79.352188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M4L</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches West, India Bazaar</td>\n",
       "      <td>43.668999</td>\n",
       "      <td>-79.315572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4M</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Studio District</td>\n",
       "      <td>43.659526</td>\n",
       "      <td>-79.340923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>43.728020</td>\n",
       "      <td>-79.388790</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode          Borough                    Neighborhood   Latitude  \\\n",
       "0      M4E     East Toronto                     The Beaches  43.676357   \n",
       "1      M4K     East Toronto    The Danforth West, Riverdale  43.679557   \n",
       "2      M4L     East Toronto  The Beaches West, India Bazaar  43.668999   \n",
       "3      M4M     East Toronto                 Studio District  43.659526   \n",
       "4      M4N  Central Toronto                   Lawrence Park  43.728020   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.293031  \n",
       "1 -79.352188  \n",
       "2 -79.315572  \n",
       "3 -79.340923  \n",
       "4 -79.388790  "
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_data.columns = ['Postcode', 'Borough', 'Neighborhood', 'Latitude', 'Longitude']\n",
    "toronto_data.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's create a new dataframe that includes the cluster as well as the top 10 venues for each neighborhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        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>Postcode</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>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>0</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4K</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>43.679557</td>\n",
       "      <td>-79.352188</td>\n",
       "      <td>0</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M4L</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches West, India Bazaar</td>\n",
       "      <td>43.668999</td>\n",
       "      <td>-79.315572</td>\n",
       "      <td>0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4M</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Studio District</td>\n",
       "      <td>43.659526</td>\n",
       "      <td>-79.340923</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>43.728020</td>\n",
       "      <td>-79.388790</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode          Borough                    Neighborhood   Latitude  \\\n",
       "0      M4E     East Toronto                     The Beaches  43.676357   \n",
       "1      M4K     East Toronto    The Danforth West, Riverdale  43.679557   \n",
       "2      M4L     East Toronto  The Beaches West, India Bazaar  43.668999   \n",
       "3      M4M     East Toronto                 Studio District  43.659526   \n",
       "4      M4N  Central Toronto                   Lawrence Park  43.728020   \n",
       "\n",
       "   Longitude  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0 -79.293031               0     Health Food Store  Other Great Outdoors   \n",
       "1 -79.352188               0      Greek Restaurant           Coffee Shop   \n",
       "2 -79.315572               0                  Park           Pizza Place   \n",
       "3 -79.340923               0                  Café           Coffee Shop   \n",
       "4 -79.388790               4                  Park           Swim School   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue   5th Most Common Venue  \\\n",
       "0                   Pub                 Trail      Falafel Restaurant   \n",
       "1        Ice Cream Shop    Italian Restaurant  Furniture / Home Store   \n",
       "2    Italian Restaurant             Pet Store                     Gym   \n",
       "3             Gastropub    Italian Restaurant                  Bakery   \n",
       "4              Bus Line         Women's Store                 Dog Run   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "0           Event Space  Ethiopian Restaurant        Farmers Market   \n",
       "1           Yoga Studio           Pizza Place               Brewery   \n",
       "2                   Pub         Movie Theater        Sandwich Place   \n",
       "3   American Restaurant           Yoga Studio  Gym / Fitness Center   \n",
       "4  Fast Food Restaurant        Farmers Market    Falafel Restaurant   \n",
       "\n",
       "  9th Most Common Venue 10th Most Common Venue  \n",
       "0                 Diner   Fast Food Restaurant  \n",
       "1       Bubble Tea Shop                   Café  \n",
       "2         Burrito Place           Burger Joint  \n",
       "3               Brewery     Seafood Restaurant  \n",
       "4           Event Space   Ethiopian Restaurant  "
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "toronto_merged = toronto_data\n",
    "\n",
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
    "toronto_merged = toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n",
    "\n",
    "toronto_merged.head() # check the last columns!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's visualize the clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
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            var circle_marker_1be7ced2ccf64b25b1ed20c1d12c8a8e = L.circleMarker(
                [43.6515706,-79.4844499],
                {
  "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_3653c330375748dc8eed58cf8fe46137);
            
    
            var popup_9d817ebde0ba4eb487891ebe1576e7e9 = L.popup({maxWidth: '300'});

            
                var html_44a448cdff95488982ea0858f910e71e = $('<div id="html_44a448cdff95488982ea0858f910e71e" style="width: 100.0%; height: 100.0%;">Runnymede, Swansea Cluster 0</div>')[0];
                popup_9d817ebde0ba4eb487891ebe1576e7e9.setContent(html_44a448cdff95488982ea0858f910e71e);
            

            circle_marker_1be7ced2ccf64b25b1ed20c1d12c8a8e.bindPopup(popup_9d817ebde0ba4eb487891ebe1576e7e9);

            
        
    
            var circle_marker_d23fea1afbd94e709d21e38659931013 = L.circleMarker(
                [43.6627439,-79.321558],
                {
  "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_3653c330375748dc8eed58cf8fe46137);
            
    
            var popup_087d26f7b97946e698c46e2c851eed10 = L.popup({maxWidth: '300'});

            
                var html_3099db5fbacb4f09a25477e1e8f7a9af = $('<div id="html_3099db5fbacb4f09a25477e1e8f7a9af" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern Cluster 0</div>')[0];
                popup_087d26f7b97946e698c46e2c851eed10.setContent(html_3099db5fbacb4f09a25477e1e8f7a9af);
            

            circle_marker_d23fea1afbd94e709d21e38659931013.bindPopup(popup_087d26f7b97946e698c46e2c851eed10);

            
        
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f4170b3be48>"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map\n",
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(kclusters)\n",
    "ys = [i + x + (i*x)**2 for i in range(kclusters)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(toronto_merged['Latitude'], toronto_merged['Longitude'], toronto_merged['Neighborhood'], toronto_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' 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"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's see all the five clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</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>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Other Great Outdoors</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Steakhouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>History Museum</td>\n",
       "      <td>Jewish Restaurant</td>\n",
       "      <td>BBQ Joint</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>College Arts Building</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Airport Gate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Climbing Gym</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Flea Market</td>\n",
       "      <td>Speakeasy</td>\n",
       "      <td>Cajun / Creole Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Post Office</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Recording Studio</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Butcher</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Skate Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "0       East Toronto               0     Health Food Store   \n",
       "1       East Toronto               0      Greek Restaurant   \n",
       "2       East Toronto               0                  Park   \n",
       "3       East Toronto               0                  Café   \n",
       "5    Central Toronto               0            Playground   \n",
       "6    Central Toronto               0           Coffee Shop   \n",
       "7    Central Toronto               0           Pizza Place   \n",
       "9    Central Toronto               0                   Pub   \n",
       "11  Downtown Toronto               0           Coffee Shop   \n",
       "12  Downtown Toronto               0           Coffee Shop   \n",
       "13  Downtown Toronto               0           Coffee Shop   \n",
       "14  Downtown Toronto               0           Coffee Shop   \n",
       "15  Downtown Toronto               0                  Café   \n",
       "16  Downtown Toronto               0           Coffee Shop   \n",
       "17  Downtown Toronto               0           Coffee Shop   \n",
       "18  Downtown Toronto               0           Coffee Shop   \n",
       "19  Downtown Toronto               0           Coffee Shop   \n",
       "20  Downtown Toronto               0           Coffee Shop   \n",
       "21  Downtown Toronto               0           Coffee Shop   \n",
       "24   Central Toronto               0           Coffee Shop   \n",
       "25  Downtown Toronto               0                  Café   \n",
       "26  Downtown Toronto               0                  Café   \n",
       "27  Downtown Toronto               0       Airport Service   \n",
       "28  Downtown Toronto               0           Coffee Shop   \n",
       "29  Downtown Toronto               0           Coffee Shop   \n",
       "30  Downtown Toronto               0                  Café   \n",
       "31      West Toronto               0                Bakery   \n",
       "32      West Toronto               0                   Bar   \n",
       "33      West Toronto               0           Coffee Shop   \n",
       "34      West Toronto               0    Mexican Restaurant   \n",
       "35      West Toronto               0        Breakfast Spot   \n",
       "36      West Toronto               0           Pizza Place   \n",
       "37      East Toronto               0           Yoga Studio   \n",
       "\n",
       "            2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0            Other Great Outdoors                   Pub                 Trail   \n",
       "1                     Coffee Shop        Ice Cream Shop    Italian Restaurant   \n",
       "2                     Pizza Place    Italian Restaurant             Pet Store   \n",
       "3                     Coffee Shop             Gastropub    Italian Restaurant   \n",
       "5                           Hotel     Food & Drink Shop        Clothing Store   \n",
       "6                     Yoga Studio            Bagel Shop  Fast Food Restaurant   \n",
       "7                    Dessert Shop        Sandwich Place      Sushi Restaurant   \n",
       "9                     Coffee Shop    Light Rail Station            Bagel Shop   \n",
       "11                     Restaurant                  Park                  Café   \n",
       "12            Japanese Restaurant      Sushi Restaurant               Gay Bar   \n",
       "13                         Bakery                  Park                   Pub   \n",
       "14                 Clothing Store                  Café        Cosmetics Shop   \n",
       "15                    Coffee Shop                 Hotel            Restaurant   \n",
       "16                   Cocktail Bar    Seafood Restaurant                  Café   \n",
       "17                           Café    Italian Restaurant          Burger Joint   \n",
       "18                           Café                   Bar   American Restaurant   \n",
       "19                          Hotel              Aquarium    Italian Restaurant   \n",
       "20                          Hotel                  Café            Restaurant   \n",
       "21                           Café                 Hotel            Restaurant   \n",
       "24                           Café        Sandwich Place           Pizza Place   \n",
       "25                      Bookstore            Restaurant                   Bar   \n",
       "26  Vegetarian / Vegan Restaurant           Coffee Shop   Dumpling Restaurant   \n",
       "27               Airport Terminal        Airport Lounge         Boat or Ferry   \n",
       "28                     Restaurant                  Café    Italian Restaurant   \n",
       "29                           Café                 Hotel            Restaurant   \n",
       "30                  Grocery Store                  Park     Convenience Store   \n",
       "31                       Pharmacy           Supermarket  Gym / Fitness Center   \n",
       "32                    Coffee Shop           Men's Store      Asian Restaurant   \n",
       "33                           Café        Breakfast Spot           Yoga Studio   \n",
       "34                           Café                   Bar    Italian Restaurant   \n",
       "35                      Gift Shop            Restaurant          Dessert Shop   \n",
       "36                    Coffee Shop                  Café                 Diner   \n",
       "37                  Auto Workshop           Pizza Place  Gym / Fitness Center   \n",
       "\n",
       "          5th Most Common Venue    6th Most Common Venue  \\\n",
       "0            Falafel Restaurant              Event Space   \n",
       "1        Furniture / Home Store              Yoga Studio   \n",
       "2                           Gym                      Pub   \n",
       "3                        Bakery      American Restaurant   \n",
       "5                          Park           Sandwich Place   \n",
       "6            Mexican Restaurant                    Diner   \n",
       "7               Thai Restaurant               Restaurant   \n",
       "9           Fried Chicken Joint              Supermarket   \n",
       "11           Italian Restaurant                   Bakery   \n",
       "12                   Restaurant          Bubble Tea Shop   \n",
       "13           Mexican Restaurant           Breakfast Spot   \n",
       "14    Middle Eastern Restaurant                  Theater   \n",
       "15                    Gastropub                   Bakery   \n",
       "16                  Cheese Shop           Farmers Market   \n",
       "17    Middle Eastern Restaurant           Sandwich Place   \n",
       "18                   Steakhouse          Thai Restaurant   \n",
       "19                         Café               Restaurant   \n",
       "20                       Bakery      American Restaurant   \n",
       "21          American Restaurant                Gastropub   \n",
       "24               History Museum        Jewish Restaurant   \n",
       "25                       Bakery      Japanese Restaurant   \n",
       "26                       Bakery       Mexican Restaurant   \n",
       "27                  Coffee Shop         Sculpture Garden   \n",
       "28           Seafood Restaurant             Cocktail Bar   \n",
       "29                   Steakhouse      American Restaurant   \n",
       "30                    Nightclub               Baby Store   \n",
       "31                         Pool              Coffee Shop   \n",
       "32                  Pizza Place  New American Restaurant   \n",
       "33           Italian Restaurant        Convenience Store   \n",
       "34                  Music Venue                Bookstore   \n",
       "35  Eastern European Restaurant                      Bar   \n",
       "36             Sushi Restaurant       Italian Restaurant   \n",
       "37             Recording Studio               Restaurant   \n",
       "\n",
       "   7th Most Common Venue  8th Most Common Venue      9th Most Common Venue  \\\n",
       "0   Ethiopian Restaurant         Farmers Market                      Diner   \n",
       "1            Pizza Place                Brewery            Bubble Tea Shop   \n",
       "2          Movie Theater         Sandwich Place              Burrito Place   \n",
       "3            Yoga Studio   Gym / Fitness Center                    Brewery   \n",
       "5         Breakfast Spot          Grocery Store                        Gym   \n",
       "6           Dessert Shop                   Park             Clothing Store   \n",
       "7                   Café            Coffee Shop         Italian Restaurant   \n",
       "9             Sports Bar    American Restaurant           Sushi Restaurant   \n",
       "11                   Pub            Pizza Place                  Pet Store   \n",
       "12          Burger Joint                    Pub                      Hotel   \n",
       "13               Theater             Restaurant                       Café   \n",
       "14    Italian Restaurant   Fast Food Restaurant                 Restaurant   \n",
       "15        Breakfast Spot           Cocktail Bar             Clothing Store   \n",
       "16            Steakhouse                 Bakery                   Beer Bar   \n",
       "17                   Bar     Chinese Restaurant          Indian Restaurant   \n",
       "18        Cosmetics Shop                  Hotel                 Restaurant   \n",
       "19           Pizza Place    Fried Chicken Joint        Sporting Goods Shop   \n",
       "20         Deli / Bodega     Italian Restaurant                  Gastropub   \n",
       "21    Italian Restaurant                 Bakery              Deli / Bodega   \n",
       "24             BBQ Joint      Indian Restaurant                        Pub   \n",
       "25    Italian Restaurant  College Arts Building               Dessert Shop   \n",
       "26                   Bar  Vietnamese Restaurant         Chinese Restaurant   \n",
       "27                   Bar               Boutique                      Plane   \n",
       "28                 Hotel               Beer Bar        Japanese Restaurant   \n",
       "29                Bakery     Seafood Restaurant              Deli / Bodega   \n",
       "30                 Diner     Italian Restaurant                 Restaurant   \n",
       "31           Music Venue         Discount Store  Middle Eastern Restaurant   \n",
       "32          Cocktail Bar                 Bakery                       Café   \n",
       "33             Pet Store           Climbing Gym                 Restaurant   \n",
       "34           Flea Market              Speakeasy  Cajun / Creole Restaurant   \n",
       "35                  Bank          Movie Theater                    Dog Run   \n",
       "36           Post Office           Dessert Shop                        Pub   \n",
       "37               Butcher          Burrito Place                    Brewery   \n",
       "\n",
       "   10th Most Common Venue  \n",
       "0    Fast Food Restaurant  \n",
       "1                    Café  \n",
       "2            Burger Joint  \n",
       "3      Seafood Restaurant  \n",
       "5    Ethiopian Restaurant  \n",
       "6      Chinese Restaurant  \n",
       "7           Deli / Bodega  \n",
       "9             Pizza Place  \n",
       "11         Breakfast Spot  \n",
       "12                   Café  \n",
       "13      Electronics Store  \n",
       "14       Ramen Restaurant  \n",
       "15         Cosmetics Shop  \n",
       "16     Italian Restaurant  \n",
       "17        Bubble Tea Shop  \n",
       "18           Burger Joint  \n",
       "19                Brewery  \n",
       "20                    Bar  \n",
       "21             Steakhouse  \n",
       "24    American Restaurant  \n",
       "25         Sandwich Place  \n",
       "26          Grocery Store  \n",
       "27           Airport Gate  \n",
       "28         Breakfast Spot  \n",
       "29                    Bar  \n",
       "30            Coffee Shop  \n",
       "31                   Café  \n",
       "32             Restaurant  \n",
       "33   Caribbean Restaurant  \n",
       "34    Fried Chicken Joint  \n",
       "35     Italian Restaurant  \n",
       "36          Grocery Store  \n",
       "37             Skate Park  "
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</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>8</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Tennis Court</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Filipino Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "8  Central Toronto               1            Playground   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "8          Tennis Court                 Diner   Filipino Restaurant   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "8  Fast Food Restaurant        Farmers Market    Falafel Restaurant   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "8           Event Space  Ethiopian Restaurant      Electronics Store  "
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 1, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</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>10</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "10  Downtown Toronto               2                  Park   \n",
       "23   Central Toronto               2                 Trail   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "10            Playground                 Trail                 Diner   \n",
       "23         Jewelry Store      Sushi Restaurant                  Park   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "10  Fast Food Restaurant        Farmers Market    Falafel Restaurant   \n",
       "23     Electronics Store      Doner Restaurant            Donut Shop   \n",
       "\n",
       "   8th Most Common Venue        9th Most Common Venue 10th Most Common Venue  \n",
       "10           Event Space         Ethiopian Restaurant      Electronics Store  \n",
       "23   Dumpling Restaurant  Eastern European Restaurant          Women's Store  "
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 2, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</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>22</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>3</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Filipino Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
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      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "22  Central Toronto               3        Ice Cream Shop   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "22                Garden         Women's Store               Dog Run   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "22   Filipino Restaurant  Fast Food Restaurant        Farmers Market   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "22    Falafel Restaurant           Event Space   Ethiopian Restaurant  "
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 3, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</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>4</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "4  Central Toronto               4                  Park   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "4           Swim School              Bus Line         Women's Store   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "4               Dog Run  Fast Food Restaurant        Farmers Market   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "4    Falafel Restaurant           Event Space   Ethiopian Restaurant  "
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 4, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### End of Part-3 for Clustering of Neighborhoods in Toronto using K-means Clustering"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Thank - you"
   ]
  }
 ],
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