Capstone Project Notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# This notebook will be used mainly for the capstone course"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import Pandas and Numpy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello Capstone Project Course!\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "print(\"Hello Capstone Project Course!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read the Wikipedia list of postal codes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>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      Neighborhood\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": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_html(\"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\")[0]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Drop boroughs that are \"Not assigned\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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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       "    }\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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\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",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough      Neighborhood\n",
       "2      M3A        North York         Parkwoods\n",
       "3      M4A        North York  Victoria Village\n",
       "4      M5A  Downtown Toronto      Harbourfront\n",
       "5      M6A        North York  Lawrence Heights\n",
       "6      M6A        North York    Lawrence Manor"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "drop_cases = df[df[\"Borough\"]==\"Not assigned\"].index\n",
    "df.drop(drop_cases, inplace = True)\n",
    "df.reset_index(drop = True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Combine rows with the same postcode, separate neighbours with comma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "        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",
       "    </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>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights,Lawrence Manor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough                     Neighborhood\n",
       "0      M3A        North York                        Parkwoods\n",
       "1      M4A        North York                 Victoria Village\n",
       "2      M5A  Downtown Toronto                     Harbourfront\n",
       "3      M6A        North York  Lawrence Heights,Lawrence Manor\n",
       "4      M7A  Downtown Toronto                     Queen's Park"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.groupby(['Postcode', 'Borough'], sort=False, as_index=False).agg(','.join)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If a neighborhood is \"Not assigned\", replace it with the name of the borough."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M9A</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>Queen's Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode       Borough  Neighborhood\n",
       "5      M9A  Queen's Park  Queen's Park"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df[\"Neighborhood\"]==\"Not assigned\", \"Neighborhood\"] = df.loc[df[\"Neighborhood\"]==\"Not assigned\", \"Borough\"]\n",
    "df[df[\"Borough\"]==\"Queen's Park\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Display the number of rows in the data frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load the Geospatial Coordinates file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</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",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>M9N</td>\n",
       "      <td>43.706876</td>\n",
       "      <td>-79.518188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>M9P</td>\n",
       "      <td>43.696319</td>\n",
       "      <td>-79.532242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>M9R</td>\n",
       "      <td>43.688905</td>\n",
       "      <td>-79.554724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>M9V</td>\n",
       "      <td>43.739416</td>\n",
       "      <td>-79.588437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>M9W</td>\n",
       "      <td>43.706748</td>\n",
       "      <td>-79.594054</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Postcode   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\n",
       "..       ...        ...        ...\n",
       "98       M9N  43.706876 -79.518188\n",
       "99       M9P  43.696319 -79.532242\n",
       "100      M9R  43.688905 -79.554724\n",
       "101      M9V  43.739416 -79.588437\n",
       "102      M9W  43.706748 -79.594054\n",
       "\n",
       "[103 rows x 3 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "latlon = pd.read_csv(\"Geospatial_Coordinates.csv\")\n",
    "latlon.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Merge the two dataframes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<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>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>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>43.725882</td>\n",
       "      <td>-79.315572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights,Lawrence Manor</td>\n",
       "      <td>43.718518</td>\n",
       "      <td>-79.464763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>M8X</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>The Kingsway,Montgomery Road,Old Mill North</td>\n",
       "      <td>43.653654</td>\n",
       "      <td>-79.506944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>M4Y</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>43.665860</td>\n",
       "      <td>-79.383160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>M7Y</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>43.662744</td>\n",
       "      <td>-79.321558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>M8Y</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Humber Bay,King's Mill Park,Kingsway Park Sout...</td>\n",
       "      <td>43.636258</td>\n",
       "      <td>-79.498509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Kingsway Park South West,Mimico NW,The Queensw...</td>\n",
       "      <td>43.628841</td>\n",
       "      <td>-79.520999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Postcode           Borough  \\\n",
       "0        M3A        North York   \n",
       "1        M4A        North York   \n",
       "2        M5A  Downtown Toronto   \n",
       "3        M6A        North York   \n",
       "4        M7A  Downtown Toronto   \n",
       "..       ...               ...   \n",
       "98       M8X         Etobicoke   \n",
       "99       M4Y  Downtown Toronto   \n",
       "100      M7Y      East Toronto   \n",
       "101      M8Y         Etobicoke   \n",
       "102      M8Z         Etobicoke   \n",
       "\n",
       "                                          Neighborhood   Latitude  Longitude  \n",
       "0                                            Parkwoods  43.753259 -79.329656  \n",
       "1                                     Victoria Village  43.725882 -79.315572  \n",
       "2                                         Harbourfront  43.654260 -79.360636  \n",
       "3                      Lawrence Heights,Lawrence Manor  43.718518 -79.464763  \n",
       "4                                         Queen's Park  43.662301 -79.389494  \n",
       "..                                                 ...        ...        ...  \n",
       "98         The Kingsway,Montgomery Road,Old Mill North  43.653654 -79.506944  \n",
       "99                                Church and Wellesley  43.665860 -79.383160  \n",
       "100  Business Reply Mail Processing Centre 969 Eastern  43.662744 -79.321558  \n",
       "101  Humber Bay,King's Mill Park,Kingsway Park Sout...  43.636258 -79.498509  \n",
       "102  Kingsway Park South West,Mimico NW,The Queensw...  43.628841 -79.520999  \n",
       "\n",
       "[103 rows x 5 columns]"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.merge(latlon.rename({\"Postal Code\": \"Postcode\"}, axis=1), on=\"Postcode\", how=\"left\")\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a new dataframe with results only from the Toronto borough."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "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>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Ryerson,Garden District</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</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>20</th>\n",
       "      <td>M5E</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>43.644771</td>\n",
       "      <td>-79.373306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>M5G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>43.657952</td>\n",
       "      <td>-79.387383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>M6G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Christie</td>\n",
       "      <td>43.669542</td>\n",
       "      <td>-79.422564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>M5H</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Adelaide,King,Richmond</td>\n",
       "      <td>43.650571</td>\n",
       "      <td>-79.384568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>M6H</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Dovercourt Village,Dufferin</td>\n",
       "      <td>43.669005</td>\n",
       "      <td>-79.442259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>M5J</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront East,Toronto Islands,Union Station</td>\n",
       "      <td>43.640816</td>\n",
       "      <td>-79.381752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>M6J</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Little Portugal,Trinity</td>\n",
       "      <td>43.647927</td>\n",
       "      <td>-79.419750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</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>42</th>\n",
       "      <td>M5K</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Design Exchange,Toronto Dominion Centre</td>\n",
       "      <td>43.647177</td>\n",
       "      <td>-79.381576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>M6K</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Brockton,Exhibition Place,Parkdale Village</td>\n",
       "      <td>43.636847</td>\n",
       "      <td>-79.428191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</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>48</th>\n",
       "      <td>M5L</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Commerce Court,Victoria Hotel</td>\n",
       "      <td>43.648198</td>\n",
       "      <td>-79.379817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</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>61</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",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>M5N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Roselawn</td>\n",
       "      <td>43.711695</td>\n",
       "      <td>-79.416936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>M4P</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Davisville North</td>\n",
       "      <td>43.712751</td>\n",
       "      <td>-79.390197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>M5P</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Forest Hill North,Forest Hill West</td>\n",
       "      <td>43.696948</td>\n",
       "      <td>-79.411307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>M6P</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>High Park,The Junction South</td>\n",
       "      <td>43.661608</td>\n",
       "      <td>-79.464763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>M4R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>43.715383</td>\n",
       "      <td>-79.405678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>M5R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>The Annex,North Midtown,Yorkville</td>\n",
       "      <td>43.672710</td>\n",
       "      <td>-79.405678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>M6R</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Parkdale,Roncesvalles</td>\n",
       "      <td>43.648960</td>\n",
       "      <td>-79.456325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>M4S</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Davisville</td>\n",
       "      <td>43.704324</td>\n",
       "      <td>-79.388790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>M5S</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbord,University of Toronto</td>\n",
       "      <td>43.662696</td>\n",
       "      <td>-79.400049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>M6S</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Runnymede,Swansea</td>\n",
       "      <td>43.651571</td>\n",
       "      <td>-79.484450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>M4T</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Moore Park,Summerhill East</td>\n",
       "      <td>43.689574</td>\n",
       "      <td>-79.383160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>M5T</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Chinatown,Grange Park,Kensington Market</td>\n",
       "      <td>43.653206</td>\n",
       "      <td>-79.400049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>M4V</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Deer Park,Forest Hill SE,Rathnelly,South Hill,...</td>\n",
       "      <td>43.686412</td>\n",
       "      <td>-79.400049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>M5V</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>CN Tower,Bathurst Quay,Island airport,Harbourf...</td>\n",
       "      <td>43.628947</td>\n",
       "      <td>-79.394420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>M4W</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Rosedale</td>\n",
       "      <td>43.679563</td>\n",
       "      <td>-79.377529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>M5W</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>43.646435</td>\n",
       "      <td>-79.374846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>M4X</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Cabbagetown,St. James Town</td>\n",
       "      <td>43.667967</td>\n",
       "      <td>-79.367675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>M5X</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>First Canadian Place,Underground city</td>\n",
       "      <td>43.648429</td>\n",
       "      <td>-79.382280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>M4Y</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>43.665860</td>\n",
       "      <td>-79.383160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>M7Y</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>43.662744</td>\n",
       "      <td>-79.321558</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Postcode           Borough  \\\n",
       "2        M5A  Downtown Toronto   \n",
       "4        M7A  Downtown Toronto   \n",
       "9        M5B  Downtown Toronto   \n",
       "15       M5C  Downtown Toronto   \n",
       "19       M4E      East Toronto   \n",
       "20       M5E  Downtown Toronto   \n",
       "24       M5G  Downtown Toronto   \n",
       "25       M6G  Downtown Toronto   \n",
       "30       M5H  Downtown Toronto   \n",
       "31       M6H      West Toronto   \n",
       "36       M5J  Downtown Toronto   \n",
       "37       M6J      West Toronto   \n",
       "41       M4K      East Toronto   \n",
       "42       M5K  Downtown Toronto   \n",
       "43       M6K      West Toronto   \n",
       "47       M4L      East Toronto   \n",
       "48       M5L  Downtown Toronto   \n",
       "54       M4M      East Toronto   \n",
       "61       M4N   Central Toronto   \n",
       "62       M5N   Central Toronto   \n",
       "67       M4P   Central Toronto   \n",
       "68       M5P   Central Toronto   \n",
       "69       M6P      West Toronto   \n",
       "73       M4R   Central Toronto   \n",
       "74       M5R   Central Toronto   \n",
       "75       M6R      West Toronto   \n",
       "79       M4S   Central Toronto   \n",
       "80       M5S  Downtown Toronto   \n",
       "81       M6S      West Toronto   \n",
       "83       M4T   Central Toronto   \n",
       "84       M5T  Downtown Toronto   \n",
       "86       M4V   Central Toronto   \n",
       "87       M5V  Downtown Toronto   \n",
       "91       M4W  Downtown Toronto   \n",
       "92       M5W  Downtown Toronto   \n",
       "96       M4X  Downtown Toronto   \n",
       "97       M5X  Downtown Toronto   \n",
       "99       M4Y  Downtown Toronto   \n",
       "100      M7Y      East Toronto   \n",
       "\n",
       "                                          Neighborhood   Latitude  Longitude  \n",
       "2                                         Harbourfront  43.654260 -79.360636  \n",
       "4                                         Queen's Park  43.662301 -79.389494  \n",
       "9                              Ryerson,Garden District  43.657162 -79.378937  \n",
       "15                                      St. James Town  43.651494 -79.375418  \n",
       "19                                         The Beaches  43.676357 -79.293031  \n",
       "20                                         Berczy Park  43.644771 -79.373306  \n",
       "24                                  Central Bay Street  43.657952 -79.387383  \n",
       "25                                            Christie  43.669542 -79.422564  \n",
       "30                              Adelaide,King,Richmond  43.650571 -79.384568  \n",
       "31                         Dovercourt Village,Dufferin  43.669005 -79.442259  \n",
       "36     Harbourfront East,Toronto Islands,Union Station  43.640816 -79.381752  \n",
       "37                             Little Portugal,Trinity  43.647927 -79.419750  \n",
       "41                         The Danforth West,Riverdale  43.679557 -79.352188  \n",
       "42             Design Exchange,Toronto Dominion Centre  43.647177 -79.381576  \n",
       "43          Brockton,Exhibition Place,Parkdale Village  43.636847 -79.428191  \n",
       "47                       The Beaches West,India Bazaar  43.668999 -79.315572  \n",
       "48                       Commerce Court,Victoria Hotel  43.648198 -79.379817  \n",
       "54                                     Studio District  43.659526 -79.340923  \n",
       "61                                       Lawrence Park  43.728020 -79.388790  \n",
       "62                                            Roselawn  43.711695 -79.416936  \n",
       "67                                    Davisville North  43.712751 -79.390197  \n",
       "68                  Forest Hill North,Forest Hill West  43.696948 -79.411307  \n",
       "69                        High Park,The Junction South  43.661608 -79.464763  \n",
       "73                                  North Toronto West  43.715383 -79.405678  \n",
       "74                   The Annex,North Midtown,Yorkville  43.672710 -79.405678  \n",
       "75                               Parkdale,Roncesvalles  43.648960 -79.456325  \n",
       "79                                          Davisville  43.704324 -79.388790  \n",
       "80                       Harbord,University of Toronto  43.662696 -79.400049  \n",
       "81                                   Runnymede,Swansea  43.651571 -79.484450  \n",
       "83                          Moore Park,Summerhill East  43.689574 -79.383160  \n",
       "84             Chinatown,Grange Park,Kensington Market  43.653206 -79.400049  \n",
       "86   Deer Park,Forest Hill SE,Rathnelly,South Hill,...  43.686412 -79.400049  \n",
       "87   CN Tower,Bathurst Quay,Island airport,Harbourf...  43.628947 -79.394420  \n",
       "91                                            Rosedale  43.679563 -79.377529  \n",
       "92                     Stn A PO Boxes 25 The Esplanade  43.646435 -79.374846  \n",
       "96                          Cabbagetown,St. James Town  43.667967 -79.367675  \n",
       "97               First Canadian Place,Underground city  43.648429 -79.382280  \n",
       "99                                Church and Wellesley  43.665860 -79.383160  \n",
       "100  Business Reply Mail Processing Centre 969 Eastern  43.662744 -79.321558  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto = df[df[\"Borough\"].str.contains(\"Toronto\")]\n",
    "Toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define a function for returning the nearby venues (replicated from the previous lab example)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "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": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: A1IAGYAM3K4MZV2UEBJZ4BFHDYBJZP2OJTGAUW25LX5QNUG1\n",
      "CLIENT_SECRET:HIRPIFJKO5ZQQUAJ5FC0HAXVPKAZBIFH1B0J3MZXPIRLGWUZ\n"
     ]
    }
   ],
   "source": [
    "# Foursquare credentials\n",
    "CLIENT_ID = 'A1IAGYAM3K4MZV2UEBJZ4BFHDYBJZP2OJTGAUW25LX5QNUG1' # your Foursquare ID\n",
    "CLIENT_SECRET = 'HIRPIFJKO5ZQQUAJ5FC0HAXVPKAZBIFH1B0J3MZXPIRLGWUZ' # your Foursquare Secret\n",
    "VERSION = '20180605' # Foursquare API version\n",
    "LIMIT = 100 # Limit results to 100\n",
    "\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the other libraries\n",
    "import json # library to handle JSON files\n",
    "\n",
    "from geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n",
    "\n",
    "import requests # library to handle requests\n",
    "from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n",
    "\n",
    "# Matplotlib and associated plotting modules\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "\n",
    "# import k-means from clustering stage\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "#!conda install -c conda-forge folium=0.5.0 --yes # uncomment this line if you haven't completed the Foursquare API lab\n",
    "import folium # map rendering library"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Download the Toronto venue information."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Harbourfront\n",
      "Queen's Park\n",
      "Ryerson,Garden District\n",
      "St. James Town\n",
      "The Beaches\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Christie\n",
      "Adelaide,King,Richmond\n",
      "Dovercourt Village,Dufferin\n",
      "Harbourfront East,Toronto Islands,Union Station\n",
      "Little Portugal,Trinity\n",
      "The Danforth West,Riverdale\n",
      "Design Exchange,Toronto Dominion Centre\n",
      "Brockton,Exhibition Place,Parkdale Village\n",
      "The Beaches West,India Bazaar\n",
      "Commerce Court,Victoria Hotel\n",
      "Studio District\n",
      "Lawrence Park\n",
      "Roselawn\n",
      "Davisville North\n",
      "Forest Hill North,Forest Hill West\n",
      "High Park,The Junction South\n",
      "North Toronto West\n",
      "The Annex,North Midtown,Yorkville\n",
      "Parkdale,Roncesvalles\n",
      "Davisville\n",
      "Harbord,University of Toronto\n",
      "Runnymede,Swansea\n",
      "Moore Park,Summerhill East\n",
      "Chinatown,Grange Park,Kensington Market\n",
      "Deer Park,Forest Hill SE,Rathnelly,South Hill,Summerhill West\n",
      "CN Tower,Bathurst Quay,Island airport,Harbourfront West,King and Spadina,Railway Lands,South Niagara\n",
      "Rosedale\n",
      "Stn A PO Boxes 25 The Esplanade\n",
      "Cabbagetown,St. James Town\n",
      "First Canadian Place,Underground city\n",
      "Church and Wellesley\n",
      "Business Reply Mail Processing Centre 969 Eastern\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>Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Roselle Desserts</td>\n",
       "      <td>43.653447</td>\n",
       "      <td>-79.362017</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Tandem Coffee</td>\n",
       "      <td>43.653559</td>\n",
       "      <td>-79.361809</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Cooper Koo Family YMCA</td>\n",
       "      <td>43.653191</td>\n",
       "      <td>-79.357947</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Body Blitz Spa East</td>\n",
       "      <td>43.654735</td>\n",
       "      <td>-79.359874</td>\n",
       "      <td>Spa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Impact Kitchen</td>\n",
       "      <td>43.656369</td>\n",
       "      <td>-79.356980</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n",
       "0  Harbourfront               43.65426              -79.360636   \n",
       "1  Harbourfront               43.65426              -79.360636   \n",
       "2  Harbourfront               43.65426              -79.360636   \n",
       "3  Harbourfront               43.65426              -79.360636   \n",
       "4  Harbourfront               43.65426              -79.360636   \n",
       "\n",
       "                    Venue  Venue Latitude  Venue Longitude  \\\n",
       "0        Roselle Desserts       43.653447       -79.362017   \n",
       "1           Tandem Coffee       43.653559       -79.361809   \n",
       "2  Cooper Koo Family YMCA       43.653191       -79.357947   \n",
       "3     Body Blitz Spa East       43.654735       -79.359874   \n",
       "4          Impact Kitchen       43.656369       -79.356980   \n",
       "\n",
       "         Venue Category  \n",
       "0                Bakery  \n",
       "1           Coffee Shop  \n",
       "2  Gym / Fitness Center  \n",
       "3                   Spa  \n",
       "4            Restaurant  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# type your answer here\n",
    "\n",
    "toronto_venues = getNearbyVenues(names=Toronto['Neighborhood'],\n",
    "                                   latitudes=Toronto['Latitude'],\n",
    "                                   longitudes=Toronto['Longitude']\n",
    "                                  )\n",
    "\n",
    "toronto_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "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>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brockton,Exhibition Place,Parkdale Village</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Business Reply Mail Processing Centre 969 Eastern</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</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>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Bay Street</th>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinatown,Grange Park,Kensington Market</th>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Christie</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>Church and Wellesley</th>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</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>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Davisville North</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Deer Park,Forest Hill SE,Rathnelly,South Hill,Summerhill 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>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>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</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>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>Harbourfront</th>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</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>High Park,The Junction South</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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>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>Moore Park,Summerhill East</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>North Toronto West</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parkdale,Roncesvalles</th>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queen's Park</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>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>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</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>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Studio District</th>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Annex,North Midtown,Yorkville</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>The Beaches</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>The Beaches West,India Bazaar</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>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                                                            56   \n",
       "Brockton,Exhibition Place,Parkdale Village                             21   \n",
       "Business Reply Mail Processing Centre 969 Eastern                      17   \n",
       "CN Tower,Bathurst Quay,Island airport,Harbourfr...                     16   \n",
       "Cabbagetown,St. James Town                                             44   \n",
       "Central Bay Street                                                     86   \n",
       "Chinatown,Grange Park,Kensington Market                                90   \n",
       "Christie                                                               18   \n",
       "Church and Wellesley                                                   86   \n",
       "Commerce Court,Victoria Hotel                                         100   \n",
       "Davisville                                                             33   \n",
       "Davisville North                                                        8   \n",
       "Deer Park,Forest Hill SE,Rathnelly,South Hill,S...                     16   \n",
       "Design Exchange,Toronto Dominion Centre                               100   \n",
       "Dovercourt Village,Dufferin                                            17   \n",
       "First Canadian Place,Underground city                                 100   \n",
       "Forest Hill North,Forest Hill West                                      4   \n",
       "Harbord,University of Toronto                                          38   \n",
       "Harbourfront                                                           47   \n",
       "Harbourfront East,Toronto Islands,Union Station                       100   \n",
       "High Park,The Junction South                                           24   \n",
       "Lawrence Park                                                           3   \n",
       "Little Portugal,Trinity                                                55   \n",
       "Moore Park,Summerhill East                                              4   \n",
       "North Toronto West                                                     21   \n",
       "Parkdale,Roncesvalles                                                  13   \n",
       "Queen's Park                                                           38   \n",
       "Rosedale                                                                4   \n",
       "Roselawn                                                                2   \n",
       "Runnymede,Swansea                                                      33   \n",
       "Ryerson,Garden District                                               100   \n",
       "St. James Town                                                        100   \n",
       "Stn A PO Boxes 25 The Esplanade                                        97   \n",
       "Studio District                                                        41   \n",
       "The Annex,North Midtown,Yorkville                                      22   \n",
       "The Beaches                                                             4   \n",
       "The Beaches West,India Bazaar                                          22   \n",
       "The Danforth West,Riverdale                                            42   \n",
       "\n",
       "                                                    Neighborhood Longitude  \\\n",
       "Neighborhood                                                                 \n",
       "Adelaide,King,Richmond                                                 100   \n",
       "Berczy Park                                                             56   \n",
       "Brockton,Exhibition Place,Parkdale Village                              21   \n",
       "Business Reply Mail Processing Centre 969 Eastern                       17   \n",
       "CN Tower,Bathurst Quay,Island airport,Harbourfr...                      16   \n",
       "Cabbagetown,St. James Town                                              44   \n",
       "Central Bay Street                                                      86   \n",
       "Chinatown,Grange Park,Kensington Market                                 90   \n",
       "Christie                                                                18   \n",
       "Church and Wellesley                                                    86   \n",
       "Commerce Court,Victoria Hotel                                          100   \n",
       "Davisville                                                              33   \n",
       "Davisville North                                                         8   \n",
       "Deer Park,Forest Hill SE,Rathnelly,South Hill,S...                      16   \n",
       "Design Exchange,Toronto Dominion Centre                                100   \n",
       "Dovercourt Village,Dufferin                                             17   \n",
       "First Canadian Place,Underground city                                  100   \n",
       "Forest Hill North,Forest Hill West                                       4   \n",
       "Harbord,University of Toronto                                           38   \n",
       "Harbourfront                                                            47   \n",
       "Harbourfront East,Toronto Islands,Union Station                        100   \n",
       "High Park,The Junction South                                            24   \n",
       "Lawrence Park                                                            3   \n",
       "Little Portugal,Trinity                                                 55   \n",
       "Moore Park,Summerhill East                                               4   \n",
       "North Toronto West                                                      21   \n",
       "Parkdale,Roncesvalles                                                   13   \n",
       "Queen's Park                                                            38   \n",
       "Rosedale                                                                 4   \n",
       "Roselawn                                                                 2   \n",
       "Runnymede,Swansea                                                       33   \n",
       "Ryerson,Garden District                                                100   \n",
       "St. James Town                                                         100   \n",
       "Stn A PO Boxes 25 The Esplanade                                         97   \n",
       "Studio District                                                         41   \n",
       "The Annex,North Midtown,Yorkville                                       22   \n",
       "The Beaches                                                              4   \n",
       "The Beaches West,India Bazaar                                           22   \n",
       "The Danforth West,Riverdale                                             42   \n",
       "\n",
       "                                                    Venue  Venue Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Adelaide,King,Richmond                                100             100   \n",
       "Berczy Park                                            56              56   \n",
       "Brockton,Exhibition Place,Parkdale Village             21              21   \n",
       "Business Reply Mail Processing Centre 969 Eastern      17              17   \n",
       "CN Tower,Bathurst Quay,Island airport,Harbourfr...     16              16   \n",
       "Cabbagetown,St. James Town                             44              44   \n",
       "Central Bay Street                                     86              86   \n",
       "Chinatown,Grange Park,Kensington Market                90              90   \n",
       "Christie                                               18              18   \n",
       "Church and Wellesley                                   86              86   \n",
       "Commerce Court,Victoria Hotel                         100             100   \n",
       "Davisville                                             33              33   \n",
       "Davisville North                                        8               8   \n",
       "Deer Park,Forest Hill SE,Rathnelly,South Hill,S...     16              16   \n",
       "Design Exchange,Toronto Dominion Centre               100             100   \n",
       "Dovercourt Village,Dufferin                            17              17   \n",
       "First Canadian Place,Underground city                 100             100   \n",
       "Forest Hill North,Forest Hill West                      4               4   \n",
       "Harbord,University of Toronto                          38              38   \n",
       "Harbourfront                                           47              47   \n",
       "Harbourfront East,Toronto Islands,Union Station       100             100   \n",
       "High Park,The Junction South                           24              24   \n",
       "Lawrence Park                                           3               3   \n",
       "Little Portugal,Trinity                                55              55   \n",
       "Moore Park,Summerhill East                              4               4   \n",
       "North Toronto West                                     21              21   \n",
       "Parkdale,Roncesvalles                                  13              13   \n",
       "Queen's Park                                           38              38   \n",
       "Rosedale                                                4               4   \n",
       "Roselawn                                                2               2   \n",
       "Runnymede,Swansea                                      33              33   \n",
       "Ryerson,Garden District                               100             100   \n",
       "St. James Town                                        100             100   \n",
       "Stn A PO Boxes 25 The Esplanade                        97              97   \n",
       "Studio District                                        41              41   \n",
       "The Annex,North Midtown,Yorkville                      22              22   \n",
       "The Beaches                                             4               4   \n",
       "The Beaches West,India Bazaar                          22              22   \n",
       "The Danforth West,Riverdale                            42              42   \n",
       "\n",
       "                                                    Venue Longitude  \\\n",
       "Neighborhood                                                          \n",
       "Adelaide,King,Richmond                                          100   \n",
       "Berczy Park                                                      56   \n",
       "Brockton,Exhibition Place,Parkdale Village                       21   \n",
       "Business Reply Mail Processing Centre 969 Eastern                17   \n",
       "CN Tower,Bathurst Quay,Island airport,Harbourfr...               16   \n",
       "Cabbagetown,St. James Town                                       44   \n",
       "Central Bay Street                                               86   \n",
       "Chinatown,Grange Park,Kensington Market                          90   \n",
       "Christie                                                         18   \n",
       "Church and Wellesley                                             86   \n",
       "Commerce Court,Victoria Hotel                                   100   \n",
       "Davisville                                                       33   \n",
       "Davisville North                                                  8   \n",
       "Deer Park,Forest Hill SE,Rathnelly,South Hill,S...               16   \n",
       "Design Exchange,Toronto Dominion Centre                         100   \n",
       "Dovercourt Village,Dufferin                                      17   \n",
       "First Canadian Place,Underground city                           100   \n",
       "Forest Hill North,Forest Hill West                                4   \n",
       "Harbord,University of Toronto                                    38   \n",
       "Harbourfront                                                     47   \n",
       "Harbourfront East,Toronto Islands,Union Station                 100   \n",
       "High Park,The Junction South                                     24   \n",
       "Lawrence Park                                                     3   \n",
       "Little Portugal,Trinity                                          55   \n",
       "Moore Park,Summerhill East                                        4   \n",
       "North Toronto West                                               21   \n",
       "Parkdale,Roncesvalles                                            13   \n",
       "Queen's Park                                                     38   \n",
       "Rosedale                                                          4   \n",
       "Roselawn                                                          2   \n",
       "Runnymede,Swansea                                                33   \n",
       "Ryerson,Garden District                                         100   \n",
       "St. James Town                                                  100   \n",
       "Stn A PO Boxes 25 The Esplanade                                  97   \n",
       "Studio District                                                  41   \n",
       "The Annex,North Midtown,Yorkville                                22   \n",
       "The Beaches                                                       4   \n",
       "The Beaches West,India Bazaar                                    22   \n",
       "The Danforth West,Riverdale                                      42   \n",
       "\n",
       "                                                    Venue Category  \n",
       "Neighborhood                                                        \n",
       "Adelaide,King,Richmond                                         100  \n",
       "Berczy Park                                                     56  \n",
       "Brockton,Exhibition Place,Parkdale Village                      21  \n",
       "Business Reply Mail Processing Centre 969 Eastern               17  \n",
       "CN Tower,Bathurst Quay,Island airport,Harbourfr...              16  \n",
       "Cabbagetown,St. James Town                                      44  \n",
       "Central Bay Street                                              86  \n",
       "Chinatown,Grange Park,Kensington Market                         90  \n",
       "Christie                                                        18  \n",
       "Church and Wellesley                                            86  \n",
       "Commerce Court,Victoria Hotel                                  100  \n",
       "Davisville                                                      33  \n",
       "Davisville North                                                 8  \n",
       "Deer Park,Forest Hill SE,Rathnelly,South Hill,S...              16  \n",
       "Design Exchange,Toronto Dominion Centre                        100  \n",
       "Dovercourt Village,Dufferin                                     17  \n",
       "First Canadian Place,Underground city                          100  \n",
       "Forest Hill North,Forest Hill West                               4  \n",
       "Harbord,University of Toronto                                   38  \n",
       "Harbourfront                                                    47  \n",
       "Harbourfront East,Toronto Islands,Union Station                100  \n",
       "High Park,The Junction South                                    24  \n",
       "Lawrence Park                                                    3  \n",
       "Little Portugal,Trinity                                         55  \n",
       "Moore Park,Summerhill East                                       4  \n",
       "North Toronto West                                              21  \n",
       "Parkdale,Roncesvalles                                           13  \n",
       "Queen's Park                                                    38  \n",
       "Rosedale                                                         4  \n",
       "Roselawn                                                         2  \n",
       "Runnymede,Swansea                                               33  \n",
       "Ryerson,Garden District                                        100  \n",
       "St. James Town                                                 100  \n",
       "Stn A PO Boxes 25 The Esplanade                                 97  \n",
       "Studio District                                                 41  \n",
       "The Annex,North Midtown,Yorkville                               22  \n",
       "The Beaches                                                      4  \n",
       "The Beaches West,India Bazaar                                   22  \n",
       "The Danforth West,Riverdale                                     42  "
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# How many venues per neighbourhood were returned?\n",
    "toronto_venues.groupby('Neighborhood').count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analyze Each Neighbourhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "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>Yoga Studio</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>Antique Shop</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>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</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>1</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>2</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>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 × 237 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Yoga Studio  Afghan Restaurant  Airport  Airport Food Court  Airport Gate  \\\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",
       "   Airport Lounge  Airport Service  Airport Terminal  American Restaurant  \\\n",
       "0               0                0                 0                    0   \n",
       "1               0                0                 0                    0   \n",
       "2               0                0                 0                    0   \n",
       "3               0                0                 0                    0   \n",
       "4               0                0                 0                    0   \n",
       "\n",
       "   Antique Shop  ...  Toy / Game Store  Trail  Train Station  \\\n",
       "0             0  ...                 0      0              0   \n",
       "1             0  ...                 0      0              0   \n",
       "2             0  ...                 0      0              0   \n",
       "3             0  ...                 0      0              0   \n",
       "4             0  ...                 0      0              0   \n",
       "\n",
       "   Vegetarian / Vegan Restaurant  Video Game Store  Vietnamese Restaurant  \\\n",
       "0                              0                 0                      0   \n",
       "1                              0                 0                      0   \n",
       "2                              0                 0                      0   \n",
       "3                              0                 0                      0   \n",
       "4                              0                 0                      0   \n",
       "\n",
       "   Wine Bar  Wine Shop  Wings Joint  Women's Store  \n",
       "0         0          0            0              0  \n",
       "1         0          0            0              0  \n",
       "2         0          0            0              0  \n",
       "3         0          0            0              0  \n",
       "4         0          0            0              0  \n",
       "\n",
       "[5 rows x 237 columns]"
      ]
     },
     "execution_count": 80,
     "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": "markdown",
   "metadata": {},
   "source": [
    "Group the neighbourhoods by mean."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\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",
       "    }\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>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>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adelaide,King,Richmond</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.017857</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brockton,Exhibition Place,Parkdale Village</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CN Tower,Bathurst Quay,Island airport,Harbourf...</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>0.0625</td>\n",
       "      <td>0.1875</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.000000</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.055556</td>\n",
       "      <td>0.011111</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011111</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>0.023256</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>0.000000</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.00000</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>0.000000</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Deer Park,Forest Hill SE,Rathnelly,South Hill,...</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.058824</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25000</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>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Harbord,University of Toronto</td>\n",
       "      <td>0.026316</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Harbourfront</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Harbourfront East,Toronto Islands,Union Station</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.000000</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Little Portugal,Trinity</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.036364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.036364</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.000000</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>0.026316</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.026316</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Rosedale</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25000</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>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Roselawn</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Runnymede,Swansea</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030303</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Ryerson,Garden District</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>St. James Town</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010309</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010309</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Studio District</td>\n",
       "      <td>0.024390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.048780</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.024390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>The Annex,North Midtown,Yorkville</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.045455</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>The Beaches</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25000</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>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>The Beaches West,India Bazaar</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>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</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>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>The Danforth West,Riverdale</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.02381</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>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>39 rows × 237 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     0.000000   \n",
       "3   Business Reply Mail Processing Centre 969 Eastern     0.000000   \n",
       "4   CN Tower,Bathurst Quay,Island airport,Harbourf...     0.000000   \n",
       "5                          Cabbagetown,St. James Town     0.000000   \n",
       "6                                  Central Bay Street     0.011628   \n",
       "7             Chinatown,Grange Park,Kensington Market     0.000000   \n",
       "8                                            Christie     0.000000   \n",
       "9                                Church and Wellesley     0.023256   \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 Hill,...     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     0.026316   \n",
       "19                                       Harbourfront     0.000000   \n",
       "20    Harbourfront East,Toronto Islands,Union Station     0.000000   \n",
       "21                       High Park,The Junction South     0.000000   \n",
       "22                                      Lawrence Park     0.000000   \n",
       "23                            Little Portugal,Trinity     0.018182   \n",
       "24                         Moore Park,Summerhill East     0.000000   \n",
       "25                                 North Toronto West     0.047619   \n",
       "26                              Parkdale,Roncesvalles     0.000000   \n",
       "27                                       Queen's Park     0.026316   \n",
       "28                                           Rosedale     0.000000   \n",
       "29                                           Roselawn     0.000000   \n",
       "30                                  Runnymede,Swansea     0.000000   \n",
       "31                            Ryerson,Garden District     0.000000   \n",
       "32                                     St. James Town     0.000000   \n",
       "33                    Stn A PO Boxes 25 The Esplanade     0.000000   \n",
       "34                                    Studio District     0.024390   \n",
       "35                  The Annex,North Midtown,Yorkville     0.000000   \n",
       "36                                        The Beaches     0.000000   \n",
       "37                      The Beaches West,India Bazaar     0.000000   \n",
       "38                        The Danforth West,Riverdale     0.023810   \n",
       "\n",
       "    Afghan Restaurant  Airport  Airport Food Court  Airport Gate  \\\n",
       "0            0.000000   0.0000              0.0000        0.0000   \n",
       "1            0.000000   0.0000              0.0000        0.0000   \n",
       "2            0.000000   0.0000              0.0000        0.0000   \n",
       "3            0.000000   0.0000              0.0000        0.0000   \n",
       "4            0.000000   0.0625              0.0625        0.0625   \n",
       "5            0.000000   0.0000              0.0000        0.0000   \n",
       "6            0.000000   0.0000              0.0000        0.0000   \n",
       "7            0.000000   0.0000              0.0000        0.0000   \n",
       "8            0.000000   0.0000              0.0000        0.0000   \n",
       "9            0.011628   0.0000              0.0000        0.0000   \n",
       "10           0.000000   0.0000              0.0000        0.0000   \n",
       "11           0.000000   0.0000              0.0000        0.0000   \n",
       "12           0.000000   0.0000              0.0000        0.0000   \n",
       "13           0.000000   0.0000              0.0000        0.0000   \n",
       "14           0.000000   0.0000              0.0000        0.0000   \n",
       "15           0.000000   0.0000              0.0000        0.0000   \n",
       "16           0.000000   0.0000              0.0000        0.0000   \n",
       "17           0.000000   0.0000              0.0000        0.0000   \n",
       "18           0.000000   0.0000              0.0000        0.0000   \n",
       "19           0.000000   0.0000              0.0000        0.0000   \n",
       "20           0.000000   0.0000              0.0000        0.0000   \n",
       "21           0.000000   0.0000              0.0000        0.0000   \n",
       "22           0.000000   0.0000              0.0000        0.0000   \n",
       "23           0.000000   0.0000              0.0000        0.0000   \n",
       "24           0.000000   0.0000              0.0000        0.0000   \n",
       "25           0.000000   0.0000              0.0000        0.0000   \n",
       "26           0.000000   0.0000              0.0000        0.0000   \n",
       "27           0.000000   0.0000              0.0000        0.0000   \n",
       "28           0.000000   0.0000              0.0000        0.0000   \n",
       "29           0.000000   0.0000              0.0000        0.0000   \n",
       "30           0.000000   0.0000              0.0000        0.0000   \n",
       "31           0.000000   0.0000              0.0000        0.0000   \n",
       "32           0.000000   0.0000              0.0000        0.0000   \n",
       "33           0.000000   0.0000              0.0000        0.0000   \n",
       "34           0.000000   0.0000              0.0000        0.0000   \n",
       "35           0.000000   0.0000              0.0000        0.0000   \n",
       "36           0.000000   0.0000              0.0000        0.0000   \n",
       "37           0.000000   0.0000              0.0000        0.0000   \n",
       "38           0.000000   0.0000              0.0000        0.0000   \n",
       "\n",
       "    Airport Lounge  Airport Service  Airport Terminal  American Restaurant  \\\n",
       "0           0.0000           0.0000            0.0000             0.020000   \n",
       "1           0.0000           0.0000            0.0000             0.000000   \n",
       "2           0.0000           0.0000            0.0000             0.000000   \n",
       "3           0.0000           0.0000            0.0000             0.000000   \n",
       "4           0.0625           0.1875            0.0625             0.000000   \n",
       "5           0.0000           0.0000            0.0000             0.000000   \n",
       "6           0.0000           0.0000            0.0000             0.011628   \n",
       "7           0.0000           0.0000            0.0000             0.000000   \n",
       "8           0.0000           0.0000            0.0000             0.000000   \n",
       "9           0.0000           0.0000            0.0000             0.011628   \n",
       "10          0.0000           0.0000            0.0000             0.030000   \n",
       "11          0.0000           0.0000            0.0000             0.000000   \n",
       "12          0.0000           0.0000            0.0000             0.000000   \n",
       "13          0.0000           0.0000            0.0000             0.062500   \n",
       "14          0.0000           0.0000            0.0000             0.030000   \n",
       "15          0.0000           0.0000            0.0000             0.000000   \n",
       "16          0.0000           0.0000            0.0000             0.020000   \n",
       "17          0.0000           0.0000            0.0000             0.000000   \n",
       "18          0.0000           0.0000            0.0000             0.000000   \n",
       "19          0.0000           0.0000            0.0000             0.000000   \n",
       "20          0.0000           0.0000            0.0000             0.000000   \n",
       "21          0.0000           0.0000            0.0000             0.000000   \n",
       "22          0.0000           0.0000            0.0000             0.000000   \n",
       "23          0.0000           0.0000            0.0000             0.000000   \n",
       "24          0.0000           0.0000            0.0000             0.000000   \n",
       "25          0.0000           0.0000            0.0000             0.000000   \n",
       "26          0.0000           0.0000            0.0000             0.000000   \n",
       "27          0.0000           0.0000            0.0000             0.000000   \n",
       "28          0.0000           0.0000            0.0000             0.000000   \n",
       "29          0.0000           0.0000            0.0000             0.000000   \n",
       "30          0.0000           0.0000            0.0000             0.000000   \n",
       "31          0.0000           0.0000            0.0000             0.010000   \n",
       "32          0.0000           0.0000            0.0000             0.010000   \n",
       "33          0.0000           0.0000            0.0000             0.010309   \n",
       "34          0.0000           0.0000            0.0000             0.048780   \n",
       "35          0.0000           0.0000            0.0000             0.045455   \n",
       "36          0.0000           0.0000            0.0000             0.000000   \n",
       "37          0.0000           0.0000            0.0000             0.000000   \n",
       "38          0.0000           0.0000            0.0000             0.023810   \n",
       "\n",
       "    ...  Toy / Game Store    Trail  Train Station  \\\n",
       "0   ...          0.000000  0.00000           0.00   \n",
       "1   ...          0.000000  0.00000           0.00   \n",
       "2   ...          0.000000  0.00000           0.00   \n",
       "3   ...          0.000000  0.00000           0.00   \n",
       "4   ...          0.000000  0.00000           0.00   \n",
       "5   ...          0.000000  0.00000           0.00   \n",
       "6   ...          0.000000  0.00000           0.00   \n",
       "7   ...          0.000000  0.00000           0.00   \n",
       "8   ...          0.000000  0.00000           0.00   \n",
       "9   ...          0.000000  0.00000           0.00   \n",
       "10  ...          0.000000  0.00000           0.00   \n",
       "11  ...          0.030303  0.00000           0.00   \n",
       "12  ...          0.000000  0.00000           0.00   \n",
       "13  ...          0.000000  0.00000           0.00   \n",
       "14  ...          0.000000  0.00000           0.01   \n",
       "15  ...          0.000000  0.00000           0.00   \n",
       "16  ...          0.000000  0.00000           0.01   \n",
       "17  ...          0.000000  0.25000           0.00   \n",
       "18  ...          0.000000  0.00000           0.00   \n",
       "19  ...          0.000000  0.00000           0.00   \n",
       "20  ...          0.000000  0.00000           0.01   \n",
       "21  ...          0.000000  0.00000           0.00   \n",
       "22  ...          0.000000  0.00000           0.00   \n",
       "23  ...          0.000000  0.00000           0.00   \n",
       "24  ...          0.000000  0.00000           0.00   \n",
       "25  ...          0.000000  0.00000           0.00   \n",
       "26  ...          0.000000  0.00000           0.00   \n",
       "27  ...          0.000000  0.00000           0.00   \n",
       "28  ...          0.000000  0.25000           0.00   \n",
       "29  ...          0.000000  0.00000           0.00   \n",
       "30  ...          0.000000  0.00000           0.00   \n",
       "31  ...          0.010000  0.00000           0.00   \n",
       "32  ...          0.000000  0.00000           0.00   \n",
       "33  ...          0.000000  0.00000           0.00   \n",
       "34  ...          0.000000  0.00000           0.00   \n",
       "35  ...          0.000000  0.00000           0.00   \n",
       "36  ...          0.000000  0.25000           0.00   \n",
       "37  ...          0.000000  0.00000           0.00   \n",
       "38  ...          0.000000  0.02381           0.00   \n",
       "\n",
       "    Vegetarian / Vegan Restaurant  Video Game Store  Vietnamese Restaurant  \\\n",
       "0                        0.020000          0.000000               0.000000   \n",
       "1                        0.017857          0.000000               0.000000   \n",
       "2                        0.000000          0.000000               0.000000   \n",
       "3                        0.000000          0.000000               0.000000   \n",
       "4                        0.000000          0.000000               0.000000   \n",
       "5                        0.000000          0.000000               0.000000   \n",
       "6                        0.011628          0.000000               0.000000   \n",
       "7                        0.055556          0.000000               0.055556   \n",
       "8                        0.000000          0.000000               0.000000   \n",
       "9                        0.000000          0.000000               0.011628   \n",
       "10                       0.020000          0.000000               0.000000   \n",
       "11                       0.000000          0.000000               0.000000   \n",
       "12                       0.000000          0.000000               0.000000   \n",
       "13                       0.000000          0.000000               0.062500   \n",
       "14                       0.010000          0.000000               0.000000   \n",
       "15                       0.000000          0.000000               0.000000   \n",
       "16                       0.010000          0.000000               0.000000   \n",
       "17                       0.000000          0.000000               0.000000   \n",
       "18                       0.000000          0.026316               0.000000   \n",
       "19                       0.000000          0.000000               0.000000   \n",
       "20                       0.010000          0.000000               0.000000   \n",
       "21                       0.000000          0.000000               0.000000   \n",
       "22                       0.000000          0.000000               0.000000   \n",
       "23                       0.036364          0.000000               0.036364   \n",
       "24                       0.000000          0.000000               0.000000   \n",
       "25                       0.000000          0.000000               0.000000   \n",
       "26                       0.000000          0.000000               0.000000   \n",
       "27                       0.000000          0.000000               0.000000   \n",
       "28                       0.000000          0.000000               0.000000   \n",
       "29                       0.000000          0.000000               0.000000   \n",
       "30                       0.030303          0.000000               0.000000   \n",
       "31                       0.010000          0.010000               0.010000   \n",
       "32                       0.010000          0.000000               0.000000   \n",
       "33                       0.010309          0.000000               0.000000   \n",
       "34                       0.000000          0.000000               0.000000   \n",
       "35                       0.045455          0.000000               0.000000   \n",
       "36                       0.000000          0.000000               0.000000   \n",
       "37                       0.000000          0.000000               0.000000   \n",
       "38                       0.000000          0.000000               0.000000   \n",
       "\n",
       "    Wine Bar  Wine Shop  Wings Joint  Women's Store  \n",
       "0   0.010000   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   0.011628   0.000000     0.000000       0.000000  \n",
       "7   0.011111   0.000000     0.000000       0.011111  \n",
       "8   0.000000   0.000000     0.000000       0.000000  \n",
       "9   0.000000   0.011628     0.011628       0.000000  \n",
       "10  0.010000   0.000000     0.000000       0.000000  \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     0.000000       0.000000  \n",
       "14  0.010000   0.000000     0.000000       0.000000  \n",
       "15  0.000000   0.058824     0.000000       0.000000  \n",
       "16  0.010000   0.000000     0.000000       0.000000  \n",
       "17  0.000000   0.000000     0.000000       0.000000  \n",
       "18  0.000000   0.000000     0.000000       0.000000  \n",
       "19  0.000000   0.000000     0.000000       0.000000  \n",
       "20  0.010000   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  0.018182   0.000000     0.000000       0.000000  \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     0.026316       0.000000  \n",
       "28  0.000000   0.000000     0.000000       0.000000  \n",
       "29  0.000000   0.000000     0.000000       0.000000  \n",
       "30  0.000000   0.000000     0.000000       0.000000  \n",
       "31  0.010000   0.000000     0.000000       0.000000  \n",
       "32  0.010000   0.000000     0.000000       0.010000  \n",
       "33  0.000000   0.000000     0.000000       0.000000  \n",
       "34  0.024390   0.000000     0.000000       0.000000  \n",
       "35  0.000000   0.000000     0.000000       0.000000  \n",
       "36  0.000000   0.000000     0.000000       0.000000  \n",
       "37  0.000000   0.000000     0.000000       0.000000  \n",
       "38  0.000000   0.000000     0.000000       0.000000  \n",
       "\n",
       "[39 rows x 237 columns]"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped = toronto_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "toronto_grouped"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Show the top 5 venues in each neighbourhood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Adelaide,King,Richmond----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.08\n",
      "1         Café  0.05\n",
      "2   Steakhouse  0.04\n",
      "3          Bar  0.04\n",
      "4   Restaurant  0.03\n",
      "\n",
      "\n",
      "----Berczy Park----\n",
      "          venue  freq\n",
      "0   Coffee Shop  0.09\n",
      "1  Cocktail Bar  0.05\n",
      "2   Cheese Shop  0.04\n",
      "3          Café  0.04\n",
      "4        Bakery  0.04\n",
      "\n",
      "\n",
      "----Brockton,Exhibition Place,Parkdale Village----\n",
      "            venue  freq\n",
      "0            Café  0.14\n",
      "1  Breakfast Spot  0.10\n",
      "2     Coffee Shop  0.10\n",
      "3   Burrito Place  0.05\n",
      "4         Stadium  0.05\n",
      "\n",
      "\n",
      "----Business Reply Mail Processing Centre 969 Eastern----\n",
      "                  venue  freq\n",
      "0    Light Rail Station  0.12\n",
      "1         Garden Center  0.06\n",
      "2            Restaurant  0.06\n",
      "3  Fast Food Restaurant  0.06\n",
      "4                   Spa  0.06\n",
      "\n",
      "\n",
      "----CN Tower,Bathurst Quay,Island airport,Harbourfront West,King and Spadina,Railway Lands,South Niagara----\n",
      "             venue  freq\n",
      "0  Airport Service  0.19\n",
      "1         Boutique  0.06\n",
      "2  Harbor / Marina  0.06\n",
      "3            Plane  0.06\n",
      "4    Boat or Ferry  0.06\n",
      "\n",
      "\n",
      "----Cabbagetown,St. James Town----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.07\n",
      "1       Market  0.05\n",
      "2         Park  0.05\n",
      "3       Bakery  0.05\n",
      "4  Pizza Place  0.05\n",
      "\n",
      "\n",
      "----Central Bay Street----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.15\n",
      "1                Café  0.06\n",
      "2  Italian Restaurant  0.05\n",
      "3      Ice Cream Shop  0.03\n",
      "4        Burger Joint  0.03\n",
      "\n",
      "\n",
      "----Chinatown,Grange Park,Kensington Market----\n",
      "                           venue  freq\n",
      "0                           Café  0.06\n",
      "1          Vietnamese Restaurant  0.06\n",
      "2  Vegetarian / Vegan Restaurant  0.06\n",
      "3                            Bar  0.04\n",
      "4            Dumpling Restaurant  0.04\n",
      "\n",
      "\n",
      "----Christie----\n",
      "               venue  freq\n",
      "0               Café  0.17\n",
      "1      Grocery Store  0.17\n",
      "2               Park  0.11\n",
      "3  Convenience Store  0.06\n",
      "4         Restaurant  0.06\n",
      "\n",
      "\n",
      "----Church and Wellesley----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.08\n",
      "1              Gay Bar  0.05\n",
      "2  Japanese Restaurant  0.05\n",
      "3     Sushi Restaurant  0.05\n",
      "4           Restaurant  0.03\n",
      "\n",
      "\n",
      "----Commerce Court,Victoria Hotel----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.11\n",
      "1                Café  0.07\n",
      "2               Hotel  0.06\n",
      "3          Restaurant  0.05\n",
      "4  Seafood Restaurant  0.03\n",
      "\n",
      "\n",
      "----Davisville----\n",
      "                venue  freq\n",
      "0         Pizza Place  0.09\n",
      "1      Sandwich Place  0.09\n",
      "2        Dessert Shop  0.09\n",
      "3  Italian Restaurant  0.06\n",
      "4                 Gym  0.06\n",
      "\n",
      "\n",
      "----Davisville North----\n",
      "               venue  freq\n",
      "0              Hotel  0.12\n",
      "1               Park  0.12\n",
      "2   Asian Restaurant  0.12\n",
      "3  Food & Drink Shop  0.12\n",
      "4     Clothing Store  0.12\n",
      "\n",
      "\n",
      "----Deer Park,Forest Hill SE,Rathnelly,South Hill,Summerhill West----\n",
      "                 venue  freq\n",
      "0                  Pub  0.12\n",
      "1   Light Rail Station  0.12\n",
      "2          Coffee Shop  0.12\n",
      "3           Bagel Shop  0.06\n",
      "4  Fried Chicken Joint  0.06\n",
      "\n",
      "\n",
      "----Design Exchange,Toronto Dominion Centre----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.14\n",
      "1        Hotel  0.07\n",
      "2         Café  0.07\n",
      "3   Restaurant  0.04\n",
      "4          Bar  0.03\n",
      "\n",
      "\n",
      "----Dovercourt Village,Dufferin----\n",
      "                   venue  freq\n",
      "0               Pharmacy  0.12\n",
      "1                 Bakery  0.12\n",
      "2            Supermarket  0.12\n",
      "3                   Park  0.06\n",
      "4  Portuguese Restaurant  0.06\n",
      "\n",
      "\n",
      "----First Canadian Place,Underground city----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.12\n",
      "1         Café  0.07\n",
      "2          Gym  0.04\n",
      "3        Hotel  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     Jewelry Store  0.25\n",
      "2             Trail  0.25\n",
      "3  Sushi Restaurant  0.25\n",
      "4       Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----Harbord,University of Toronto----\n",
      "                 venue  freq\n",
      "0                 Café  0.13\n",
      "1            Bookstore  0.08\n",
      "2                  Bar  0.05\n",
      "3   Italian Restaurant  0.05\n",
      "4  Japanese Restaurant  0.05\n",
      "\n",
      "\n",
      "----Harbourfront----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.17\n",
      "1          Pub  0.06\n",
      "2         Park  0.06\n",
      "3       Bakery  0.06\n",
      "4         Café  0.04\n",
      "\n",
      "\n",
      "----Harbourfront East,Toronto Islands,Union Station----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.12\n",
      "1            Aquarium  0.05\n",
      "2               Hotel  0.04\n",
      "3                Café  0.04\n",
      "4  Italian Restaurant  0.04\n",
      "\n",
      "\n",
      "----High Park,The Junction South----\n",
      "                venue  freq\n",
      "0     Thai Restaurant  0.08\n",
      "1  Mexican Restaurant  0.08\n",
      "2                Café  0.08\n",
      "3                 Bar  0.08\n",
      "4              Bakery  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  Movie Theater  0.00\n",
      "\n",
      "\n",
      "----Little Portugal,Trinity----\n",
      "                   venue  freq\n",
      "0                    Bar  0.15\n",
      "1       Asian Restaurant  0.05\n",
      "2             Restaurant  0.05\n",
      "3            Pizza Place  0.04\n",
      "4  Vietnamese Restaurant  0.04\n",
      "\n",
      "\n",
      "----Moore Park,Summerhill East----\n",
      "           venue  freq\n",
      "0   Tennis Court  0.25\n",
      "1           Park  0.25\n",
      "2     Playground  0.25\n",
      "3     Restaurant  0.25\n",
      "4  Movie Theater  0.00\n",
      "\n",
      "\n",
      "----North Toronto West----\n",
      "                 venue  freq\n",
      "0       Clothing Store  0.14\n",
      "1  Sporting Goods Shop  0.10\n",
      "2          Coffee Shop  0.10\n",
      "3          Yoga Studio  0.05\n",
      "4           Bagel Shop  0.05\n",
      "\n",
      "\n",
      "----Parkdale,Roncesvalles----\n",
      "                         venue  freq\n",
      "0                    Gift Shop  0.15\n",
      "1           Italian Restaurant  0.08\n",
      "2               Breakfast Spot  0.08\n",
      "3                Movie Theater  0.08\n",
      "4  Eastern European Restaurant  0.08\n",
      "\n",
      "\n",
      "----Queen's Park----\n",
      "                   venue  freq\n",
      "0            Coffee Shop  0.26\n",
      "1                    Gym  0.05\n",
      "2                   Park  0.05\n",
      "3            Yoga Studio  0.03\n",
      "4  Portuguese Restaurant  0.03\n",
      "\n",
      "\n",
      "----Rosedale----\n",
      "           venue  freq\n",
      "0           Park  0.50\n",
      "1     Playground  0.25\n",
      "2          Trail  0.25\n",
      "3    Yoga Studio  0.00\n",
      "4  Movie Theater  0.00\n",
      "\n",
      "\n",
      "----Roselawn----\n",
      "          venue  freq\n",
      "0  Home Service   0.5\n",
      "1        Garden   0.5\n",
      "2   Yoga Studio   0.0\n",
      "3   Music Venue   0.0\n",
      "4        Market   0.0\n",
      "\n",
      "\n",
      "----Runnymede,Swansea----\n",
      "                venue  freq\n",
      "0                Café  0.09\n",
      "1         Coffee Shop  0.06\n",
      "2         Pizza Place  0.06\n",
      "3    Sushi Restaurant  0.06\n",
      "4  Italian Restaurant  0.06\n",
      "\n",
      "\n",
      "----Ryerson,Garden District----\n",
      "                       venue  freq\n",
      "0                Coffee Shop  0.08\n",
      "1             Clothing Store  0.06\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      Restaurant  0.05\n",
      "3           Hotel  0.04\n",
      "4  Breakfast Spot  0.03\n",
      "\n",
      "\n",
      "----Stn A PO Boxes 25 The Esplanade----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.12\n",
      "1                Café  0.04\n",
      "2          Restaurant  0.04\n",
      "3               Hotel  0.03\n",
      "4  Seafood Restaurant  0.03\n",
      "\n",
      "\n",
      "----Studio District----\n",
      "                 venue  freq\n",
      "0                 Café  0.10\n",
      "1          Coffee Shop  0.07\n",
      "2  American Restaurant  0.05\n",
      "3               Bakery  0.05\n",
      "4   Italian Restaurant  0.05\n",
      "\n",
      "\n",
      "----The Annex,North Midtown,Yorkville----\n",
      "               venue  freq\n",
      "0     Sandwich Place  0.14\n",
      "1               Café  0.14\n",
      "2        Coffee Shop  0.09\n",
      "3     History Museum  0.05\n",
      "4  Indian Restaurant  0.05\n",
      "\n",
      "\n",
      "----The Beaches----\n",
      "                 venue  freq\n",
      "0                Trail  0.25\n",
      "1    Health Food Store  0.25\n",
      "2                  Pub  0.25\n",
      "3          Yoga Studio  0.00\n",
      "4  Monument / Landmark  0.00\n",
      "\n",
      "\n",
      "----The Beaches West,India Bazaar----\n",
      "              venue  freq\n",
      "0    Sandwich Place  0.09\n",
      "1              Park  0.09\n",
      "2    Ice Cream Shop  0.05\n",
      "3  Sushi Restaurant  0.05\n",
      "4     Movie Theater  0.05\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          Restaurant  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": [
    "Put this information into a data frame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "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>Steakhouse</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Gym</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>Cheese Shop</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Café</td>\n",
       "      <td>Beach</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brockton,Exhibition Place,Parkdale Village</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Skate Park</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Butcher</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CN Tower,Bathurst Quay,Island airport,Harbourf...</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "      <td>Airport</td>\n",
       "      <td>Airport Food Court</td>\n",
       "      <td>Airport Gate</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Harbor / Marina</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                  Café   \n",
       "3  Business Reply Mail Processing Centre 969 Eastern    Light Rail Station   \n",
       "4  CN Tower,Bathurst Quay,Island airport,Harbourf...       Airport Service   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0                  Café            Steakhouse                   Bar   \n",
       "1          Cocktail Bar    Seafood Restaurant           Cheese Shop   \n",
       "2           Coffee Shop        Breakfast Spot                   Gym   \n",
       "3            Skate Park         Burrito Place               Butcher   \n",
       "4                   Bar      Sculpture Garden               Airport   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue   7th Most Common Venue  \\\n",
       "0            Restaurant      Asian Restaurant        Sushi Restaurant   \n",
       "1        Farmers Market              Beer Bar                  Bakery   \n",
       "2                Bakery         Grocery Store  Furniture / Home Store   \n",
       "3  Fast Food Restaurant         Auto Workshop          Farmers Market   \n",
       "4    Airport Food Court          Airport Gate          Airport Lounge   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0          Burger Joint       Thai Restaurant                    Gym  \n",
       "1            Steakhouse                  Café                  Beach  \n",
       "2          Intersection    Italian Restaurant      Convenience Store  \n",
       "3               Brewery                   Spa             Restaurant  \n",
       "4      Airport Terminal                 Plane        Harbor / Marina  "
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "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",
    "    return row_categories_sorted.index.values[0:num_top_venues]\n",
    "\n",
    "# Put the top 10 values into a data frame.\n",
    "\n",
    "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": [
    "\n",
    "## Clustering Neighbourhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "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",
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       "    }\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>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Shoe Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Park</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Ryerson,Garden District</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Plaza</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</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>Trail</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode           Borough             Neighborhood   Latitude  Longitude  \\\n",
       "2       M5A  Downtown Toronto             Harbourfront  43.654260 -79.360636   \n",
       "4       M7A  Downtown Toronto             Queen's Park  43.662301 -79.389494   \n",
       "9       M5B  Downtown Toronto  Ryerson,Garden District  43.657162 -79.378937   \n",
       "15      M5C  Downtown Toronto           St. James Town  43.651494 -79.375418   \n",
       "19      M4E      East Toronto              The Beaches  43.676357 -79.293031   \n",
       "\n",
       "    Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "2                1           Coffee Shop                  Park   \n",
       "4                1           Coffee Shop                   Gym   \n",
       "9                1           Coffee Shop        Clothing Store   \n",
       "15               1           Coffee Shop                  Café   \n",
       "19               0                 Trail     Health Food Store   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue  5th Most Common Venue  \\\n",
       "2                    Pub                Bakery         Breakfast Spot   \n",
       "4                   Park   Fried Chicken Joint  Portuguese Restaurant   \n",
       "9         Cosmetics Shop                  Café                 Bakery   \n",
       "15            Restaurant                 Hotel           Cocktail Bar   \n",
       "19                   Pub            Donut Shop     Dim Sum Restaurant   \n",
       "\n",
       "        6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "2          Mexican Restaurant            Restaurant                  Café   \n",
       "4                   Nightclub           Music Venue    Mexican Restaurant   \n",
       "9   Middle Eastern Restaurant            Restaurant                 Diner   \n",
       "15                     Bakery              Beer Bar        Breakfast Spot   \n",
       "19                      Diner        Discount Store               Dog Run   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "2            Event Space             Shoe Store  \n",
       "4    Japanese Restaurant     Italian Restaurant  \n",
       "9       Ramen Restaurant                  Plaza  \n",
       "15        Cosmetics Shop         Clothing Store  \n",
       "19      Doner Restaurant          Women's Store  "
      ]
     },
     "execution_count": 89,
     "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",
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "toronto_merged = Toronto\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": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a map"
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   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
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                var html_112b7608dae34d9ca1abad2c90164f90 = $('<div id="html_112b7608dae34d9ca1abad2c90164f90" style="width: 100.0%; height: 100.0%;">Cabbagetown,St. James Town Cluster 1</div>')[0];
                popup_272dc2bc318948378b4a29845a1eff81.setContent(html_112b7608dae34d9ca1abad2c90164f90);
            

            circle_marker_e92c2849191d4989b9006fb7078ec46f.bindPopup(popup_272dc2bc318948378b4a29845a1eff81);

            
        
    
            var circle_marker_a0381bc41de8415b8687e04e613662e9 = L.circleMarker(
                [43.6484292,-79.3822802],
                {
  "bubblingMouseEvents": true,
  "color": "#8000ff",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#8000ff",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_5075f7e7749b4075bc36db924d63bd3e);
            
    
            var popup_2145209dc10d45c6b594ad8db47a6175 = L.popup({maxWidth: '300'});

            
                var html_6a68167c9b7148c7a410e310f0edbe09 = $('<div id="html_6a68167c9b7148c7a410e310f0edbe09" style="width: 100.0%; height: 100.0%;">First Canadian Place,Underground city Cluster 1</div>')[0];
                popup_2145209dc10d45c6b594ad8db47a6175.setContent(html_6a68167c9b7148c7a410e310f0edbe09);
            

            circle_marker_a0381bc41de8415b8687e04e613662e9.bindPopup(popup_2145209dc10d45c6b594ad8db47a6175);

            
        
    
            var circle_marker_1a17f969fca340a5824f6607b8108aa7 = L.circleMarker(
                [43.6658599,-79.38315990000001],
                {
  "bubblingMouseEvents": true,
  "color": "#8000ff",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#8000ff",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_5075f7e7749b4075bc36db924d63bd3e);
            
    
            var popup_9fc3fd3150094f2f96d6d39f66d7621a = L.popup({maxWidth: '300'});

            
                var html_aea99dd7c20d4ea992d233c0e9330005 = $('<div id="html_aea99dd7c20d4ea992d233c0e9330005" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 1</div>')[0];
                popup_9fc3fd3150094f2f96d6d39f66d7621a.setContent(html_aea99dd7c20d4ea992d233c0e9330005);
            

            circle_marker_1a17f969fca340a5824f6607b8108aa7.bindPopup(popup_9fc3fd3150094f2f96d6d39f66d7621a);

            
        
    
            var circle_marker_7eb594a68e7142fe9463169791d214c4 = L.circleMarker(
                [43.6627439,-79.321558],
                {
  "bubblingMouseEvents": true,
  "color": "#8000ff",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#8000ff",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_5075f7e7749b4075bc36db924d63bd3e);
            
    
            var popup_743811dba49445e3a0c91b3218bcae39 = L.popup({maxWidth: '300'});

            
                var html_563c36b05e9d4902b8432ac78dccd305 = $('<div id="html_563c36b05e9d4902b8432ac78dccd305" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern Cluster 1</div>')[0];
                popup_743811dba49445e3a0c91b3218bcae39.setContent(html_563c36b05e9d4902b8432ac78dccd305);
            

            circle_marker_7eb594a68e7142fe9463169791d214c4.bindPopup(popup_743811dba49445e3a0c91b3218bcae39);

            
        
</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 0x24d83fec3c8>"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "latitude = 43.654260\n",
    "longitude = -79.360636\n",
    "\n",
    "# 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": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Examine Clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "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>19</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner 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 2nd Most Common Venue  \\\n",
       "19  East Toronto               0                 Trail     Health Food Store   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "19                   Pub            Donut Shop    Dim Sum Restaurant   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "19                 Diner        Discount Store               Dog Run   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "19      Doner Restaurant          Women's Store  "
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 1\n",
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "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>2</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Shoe Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Park</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Plaza</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Café</td>\n",
       "      <td>Beach</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Candy Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Music Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Board Shop</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Movie Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Park</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Flea Market</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cajun / Creole Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Speakeasy</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>History Museum</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Flower Shop</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Movie Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "      <td>Indie Movie Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "      <td>Airport</td>\n",
       "      <td>Airport Food Court</td>\n",
       "      <td>Airport Gate</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Park</td>\n",
       "      <td>Market</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Café</td>\n",
       "      <td>Gastropub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Skate Park</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Butcher</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "2    Downtown Toronto               1           Coffee Shop   \n",
       "4    Downtown Toronto               1           Coffee Shop   \n",
       "9    Downtown Toronto               1           Coffee Shop   \n",
       "15   Downtown Toronto               1           Coffee Shop   \n",
       "20   Downtown Toronto               1           Coffee Shop   \n",
       "24   Downtown Toronto               1           Coffee Shop   \n",
       "25   Downtown Toronto               1         Grocery Store   \n",
       "30   Downtown Toronto               1           Coffee Shop   \n",
       "31       West Toronto               1                Bakery   \n",
       "36   Downtown Toronto               1           Coffee Shop   \n",
       "37       West Toronto               1                   Bar   \n",
       "41       East Toronto               1      Greek Restaurant   \n",
       "42   Downtown Toronto               1           Coffee Shop   \n",
       "43       West Toronto               1                  Café   \n",
       "47       East Toronto               1                  Park   \n",
       "48   Downtown Toronto               1           Coffee Shop   \n",
       "54       East Toronto               1                  Café   \n",
       "67    Central Toronto               1                   Gym   \n",
       "69       West Toronto               1                   Bar   \n",
       "73    Central Toronto               1        Clothing Store   \n",
       "74    Central Toronto               1        Sandwich Place   \n",
       "75       West Toronto               1             Gift Shop   \n",
       "79    Central Toronto               1          Dessert Shop   \n",
       "80   Downtown Toronto               1                  Café   \n",
       "81       West Toronto               1                  Café   \n",
       "84   Downtown Toronto               1                  Café   \n",
       "86    Central Toronto               1                   Pub   \n",
       "87   Downtown Toronto               1       Airport Service   \n",
       "92   Downtown Toronto               1           Coffee Shop   \n",
       "96   Downtown Toronto               1           Coffee Shop   \n",
       "97   Downtown Toronto               1           Coffee Shop   \n",
       "99   Downtown Toronto               1           Coffee Shop   \n",
       "100      East Toronto               1    Light Rail Station   \n",
       "\n",
       "     2nd Most Common Venue          3rd Most Common Venue  \\\n",
       "2                     Park                            Pub   \n",
       "4                      Gym                           Park   \n",
       "9           Clothing Store                 Cosmetics Shop   \n",
       "15                    Café                     Restaurant   \n",
       "20            Cocktail Bar             Seafood Restaurant   \n",
       "24                    Café             Italian Restaurant   \n",
       "25                    Café                           Park   \n",
       "30                    Café                     Steakhouse   \n",
       "31                Pharmacy                    Supermarket   \n",
       "36                Aquarium                           Café   \n",
       "37        Asian Restaurant                     Restaurant   \n",
       "41             Coffee Shop             Italian Restaurant   \n",
       "42                    Café                          Hotel   \n",
       "43             Coffee Shop                 Breakfast Spot   \n",
       "47          Sandwich Place                            Gym   \n",
       "48                    Café                          Hotel   \n",
       "54             Coffee Shop                         Bakery   \n",
       "67                    Park               Asian Restaurant   \n",
       "69      Mexican Restaurant                           Café   \n",
       "73             Coffee Shop            Sporting Goods Shop   \n",
       "74                    Café                    Coffee Shop   \n",
       "75              Restaurant             Italian Restaurant   \n",
       "79          Sandwich Place                    Pizza Place   \n",
       "80               Bookstore                     Restaurant   \n",
       "81             Coffee Shop                    Pizza Place   \n",
       "84   Vietnamese Restaurant  Vegetarian / Vegan Restaurant   \n",
       "86      Light Rail Station                    Coffee Shop   \n",
       "87                     Bar               Sculpture Garden   \n",
       "92              Restaurant                           Café   \n",
       "96                  Bakery             Italian Restaurant   \n",
       "97                    Café                            Gym   \n",
       "99        Sushi Restaurant                        Gay Bar   \n",
       "100             Skate Park                  Burrito Place   \n",
       "\n",
       "    4th Most Common Venue  5th Most Common Venue  \\\n",
       "2                  Bakery         Breakfast Spot   \n",
       "4     Fried Chicken Joint  Portuguese Restaurant   \n",
       "9                    Café                 Bakery   \n",
       "15                  Hotel           Cocktail Bar   \n",
       "20            Cheese Shop         Farmers Market   \n",
       "24         Sandwich Place         Ice Cream Shop   \n",
       "25     Athletics & Sports     Italian Restaurant   \n",
       "30                    Bar             Restaurant   \n",
       "31                   Bank                    Bar   \n",
       "36                  Hotel     Italian Restaurant   \n",
       "37                   Café  Vietnamese Restaurant   \n",
       "41         Ice Cream Shop             Restaurant   \n",
       "42             Restaurant          Deli / Bodega   \n",
       "43                    Gym                 Bakery   \n",
       "47             Board Shop                Brewery   \n",
       "48             Restaurant                    Gym   \n",
       "54              Gastropub     Italian Restaurant   \n",
       "67         Breakfast Spot         Clothing Store   \n",
       "69        Thai Restaurant            Flea Market   \n",
       "73             Bagel Shop   Gym / Fitness Center   \n",
       "74         History Museum           Liquor Store   \n",
       "75           Dessert Shop              Bookstore   \n",
       "79                    Gym                   Café   \n",
       "80                 Bakery                    Bar   \n",
       "81       Sushi Restaurant     Italian Restaurant   \n",
       "84     Chinese Restaurant            Coffee Shop   \n",
       "86            Pizza Place            Supermarket   \n",
       "87                Airport     Airport Food Court   \n",
       "92     Seafood Restaurant               Beer Bar   \n",
       "96                   Café                    Pub   \n",
       "97             Steakhouse             Restaurant   \n",
       "99    Japanese Restaurant             Restaurant   \n",
       "100               Butcher   Fast Food Restaurant   \n",
       "\n",
       "             6th Most Common Venue      7th Most Common Venue  \\\n",
       "2               Mexican Restaurant                 Restaurant   \n",
       "4                        Nightclub                Music Venue   \n",
       "9        Middle Eastern Restaurant                 Restaurant   \n",
       "15                          Bakery                   Beer Bar   \n",
       "20                        Beer Bar                     Bakery   \n",
       "24                    Burger Joint         Chinese Restaurant   \n",
       "25                           Diner                       Bank   \n",
       "30                Asian Restaurant           Sushi Restaurant   \n",
       "31                            Café      Portuguese Restaurant   \n",
       "36             Fried Chicken Joint                    Brewery   \n",
       "37   Vegetarian / Vegan Restaurant                Coffee Shop   \n",
       "41          Furniture / Home Store                Yoga Studio   \n",
       "42                       Gastropub                        Bar   \n",
       "43                   Grocery Store     Furniture / Home Store   \n",
       "47                    Burger Joint              Burrito Place   \n",
       "48             American Restaurant         Seafood Restaurant   \n",
       "54             American Restaurant                Yoga Studio   \n",
       "67                           Hotel          Food & Drink Shop   \n",
       "69                          Bakery  Cajun / Creole Restaurant   \n",
       "73                           Diner         Mexican Restaurant   \n",
       "74                    Burger Joint          Indian Restaurant   \n",
       "75                  Breakfast Spot                Coffee Shop   \n",
       "79                Sushi Restaurant                Coffee Shop   \n",
       "80             Japanese Restaurant             Sandwich Place   \n",
       "81                             Gym                  Bookstore   \n",
       "84                             Bar        Dumpling Restaurant   \n",
       "86                      Restaurant                 Sports Bar   \n",
       "87                    Airport Gate             Airport Lounge   \n",
       "92                    Cocktail Bar                      Hotel   \n",
       "96                     Pizza Place                       Park   \n",
       "97                           Hotel               Burger Joint   \n",
       "99                             Gym            Bubble Tea Shop   \n",
       "100                  Auto Workshop             Farmers Market   \n",
       "\n",
       "           8th Most Common Venue      9th Most Common Venue  \\\n",
       "2                           Café                Event Space   \n",
       "4             Mexican Restaurant        Japanese Restaurant   \n",
       "9                          Diner           Ramen Restaurant   \n",
       "15                Breakfast Spot             Cosmetics Shop   \n",
       "20                    Steakhouse                       Café   \n",
       "24                     Juice Bar        Japanese Restaurant   \n",
       "25                    Restaurant                 Baby Store   \n",
       "30                  Burger Joint            Thai Restaurant   \n",
       "31                   Pizza Place  Middle Eastern Restaurant   \n",
       "36                Scenic Lookout                 Restaurant   \n",
       "37                   Pizza Place                Men's Store   \n",
       "41                        Bakery                      Diner   \n",
       "42            Seafood Restaurant         Italian Restaurant   \n",
       "43                  Intersection         Italian Restaurant   \n",
       "47                           Pub                  Pet Store   \n",
       "48                    Steakhouse         Italian Restaurant   \n",
       "54       Comfort Food Restaurant         Seafood Restaurant   \n",
       "67                Sandwich Place                    Dog Run   \n",
       "69            Italian Restaurant                  Speakeasy   \n",
       "73                  Dessert Shop                       Park   \n",
       "74                   Flower Shop  Middle Eastern Restaurant   \n",
       "75   Eastern European Restaurant                    Dog Run   \n",
       "79            Italian Restaurant                      Diner   \n",
       "80            Italian Restaurant          French Restaurant   \n",
       "81                           Bar          Fish & Chips Shop   \n",
       "84            Mexican Restaurant                     Bakery   \n",
       "86           Fried Chicken Joint           Sushi Restaurant   \n",
       "87              Airport Terminal                      Plane   \n",
       "92           Japanese Restaurant         Italian Restaurant   \n",
       "96                        Market                 Restaurant   \n",
       "97              Asian Restaurant                        Bar   \n",
       "99                  Burger Joint                       Café   \n",
       "100                      Brewery                        Spa   \n",
       "\n",
       "              10th Most Common Venue  \n",
       "2                         Shoe Store  \n",
       "4                 Italian Restaurant  \n",
       "9                              Plaza  \n",
       "15                    Clothing Store  \n",
       "20                             Beach  \n",
       "24                       Salad Place  \n",
       "25                       Candy Store  \n",
       "30                               Gym  \n",
       "31                       Music Venue  \n",
       "36                               Bar  \n",
       "37   Southern / Soul Food Restaurant  \n",
       "41              Caribbean Restaurant  \n",
       "42               American Restaurant  \n",
       "43                 Convenience Store  \n",
       "47                     Movie Theater  \n",
       "48                     Deli / Bodega  \n",
       "54                    Sandwich Place  \n",
       "67                    Discount Store  \n",
       "69                             Diner  \n",
       "73                Chinese Restaurant  \n",
       "74                               Pub  \n",
       "75                     Movie Theater  \n",
       "79                    Farmers Market  \n",
       "80                               Pub  \n",
       "81               Indie Movie Theater  \n",
       "84                      Dessert Shop  \n",
       "86               American Restaurant  \n",
       "87                   Harbor / Marina  \n",
       "92                              Park  \n",
       "96                        Playground  \n",
       "97                     Deli / Bodega  \n",
       "99                         Gastropub  \n",
       "100                       Restaurant  "
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 2\n",
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 1, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "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>62</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Home Service</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Empanada Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "62  Central Toronto               2          Home Service   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "62                Garden         Women's Store      Department Store   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "62  Ethiopian Restaurant   Empanada Restaurant     Electronics Store   \n",
       "\n",
       "          8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "62  Eastern European Restaurant   Dumpling Restaurant             Donut Shop  "
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 3\n",
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 2, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "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>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>68</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>3</td>\n",
       "      <td>Park</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Empanada Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>3</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Tennis Court</td>\n",
       "      <td>Park</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Empanada Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>3</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Empanada Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "68   Central Toronto               3                  Park   \n",
       "83   Central Toronto               3            Restaurant   \n",
       "91  Downtown Toronto               3                  Park   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "68         Jewelry Store                 Trail      Sushi Restaurant   \n",
       "83            Playground          Tennis Court                  Park   \n",
       "91            Playground                 Trail         Deli / Bodega   \n",
       "\n",
       "      5th Most Common Venue 6th Most Common Venue  \\\n",
       "68             Dessert Shop  Ethiopian Restaurant   \n",
       "83  Comfort Food Restaurant      Department Store   \n",
       "91      Empanada Restaurant     Electronics Store   \n",
       "\n",
       "          7th Most Common Venue 8th Most Common Venue  \\\n",
       "68          Empanada Restaurant     Electronics Store   \n",
       "83          Empanada Restaurant     Electronics Store   \n",
       "91  Eastern European Restaurant   Dumpling Restaurant   \n",
       "\n",
       "          9th Most Common Venue 10th Most Common Venue  \n",
       "68  Eastern European Restaurant    Dumpling Restaurant  \n",
       "83  Eastern European Restaurant    Dumpling Restaurant  \n",
       "91                   Donut Shop       Doner Restaurant  "
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 4\n",
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 3, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "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>61</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>Falafel Restaurant</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Empanada Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "61  Central Toronto               4                  Park   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "61           Swim School              Bus Line    Falafel Restaurant   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "61  Ethiopian Restaurant   Empanada Restaurant     Electronics Store   \n",
       "\n",
       "          8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "61  Eastern European Restaurant   Dumpling Restaurant             Donut Shop  "
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 5\n",
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 4, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  }
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