040_Get_Rental_Comparables_RealtyMole.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "040 - Get Rental Comparables - RealtyMole.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyOuQGnP6G5gIvmmXHR19nF5",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/analyticsariel/projects/blob/master/040_Get_Rental_Comparables_RealtyMole.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lN6qE2aI-GVa"
      },
      "source": [
        "## Steps\n",
        "### Get Keys\n",
        "1) Get Free [Rapid API Key by creating an account](https://rapidapi.com/marketplace)\n",
        "\n",
        "Store each key in a central and private location.\n",
        "\n",
        "### Suscribe to APIs\n",
        "\n",
        "1) Suscribe to [Realty Mole on Rapid API](https://rapidapi.com/realtymole/api/realty-mole-property-api/endpoints)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K9zplVol59rV"
      },
      "source": [
        "## <font color=\"blue\">Imports</font>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fcn8xtivrh74",
        "outputId": "b4b204e3-43eb-4ba4-e879-e3535dfc3e17"
      },
      "source": [
        "# install packages\n",
        "# pip\n",
        "\"\"\"\n",
        "pip is used to download and install packages directly from PyPI. \n",
        "PyPI is a specialized package manager that only deals with python packages. \n",
        "\"\"\"\n",
        "\n",
        "!pip install gmaps -q\n",
        "!pip install ipywidgets -q\n",
        "!pip install widgetsnbextension -q"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "\u001b[?25h  Building wheel for gmaps (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xp6KsUSdrkF5"
      },
      "source": [
        "## <font color=\"blue\">Install Packages</font>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dQCzRiMo59He"
      },
      "source": [
        "# working with files\n",
        "from google.colab import drive, files\n",
        "# api post/get\n",
        "import requests\n",
        "from bs4 import BeautifulSoup\n",
        "# data manipulation\n",
        "import json\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "# plotting\n",
        "import gmaps\n",
        "import ipywidgets as widgets\n",
        "from ipywidgets.embed import embed_minimal_html\n",
        "import IPython"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LUKcN5hJ9sFE"
      },
      "source": [
        "## <font color=\"blue\">Functions</font>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jY0jpUMUomf1"
      },
      "source": [
        "### Realty Mole"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DUC_xHLZoit4"
      },
      "source": [
        "def realty_mole_rent_estimate(rapid_api_key,\n",
        "                           street,\n",
        "                           city,\n",
        "                           state,\n",
        "                           squareFootage=None,\n",
        "                           bathrooms=None,\n",
        "                           bedrooms=None,\n",
        "                           propertyType=None,\n",
        "                           daysOld=None,\n",
        "                           compCount=5):\n",
        "    \"\"\"\n",
        "    Based on the provided property details this API will return \n",
        "    a rent estimate along with comparable rental properties. \n",
        "    Most of the response values are self-explanatory. \n",
        "    Please note that distance measurements are given in kilometers.\n",
        "    \n",
        "    The Find Property API Web Service is located at: \n",
        "    https://rapidapi.com/realtymole/api/realty-mole-property-api/endpoints\n",
        "\n",
        "    Parameters\n",
        "    ----------\n",
        "    @rapid_api_key [string]: Key to access data from Rapid API\n",
        "    @address [string]: The address of the property to search\n",
        "    @city [string]: The city of the property to search\n",
        "    @state [string]: The state of the property to search\n",
        "    @squareFootage [string]: The square footage of the property to search\n",
        "    @bathrooms [string]: The bathrooms of the property to search\n",
        "    @comp_count [string]: The number of comparable properties to evaluate sales price\n",
        "\n",
        "    Returns\n",
        "    -------\n",
        "    [json] API response\n",
        "\n",
        "    \"\"\"\n",
        "    # get address\n",
        "    address = \"{0}, {1}, {2}\".format(str(street), \n",
        "                                     str(city), \n",
        "                                     str(state))\n",
        "    \n",
        "    # api url\n",
        "    url = \"https://realty-mole-property-api.p.rapidapi.com/rentalPrice\"\n",
        "\n",
        "    # payload\n",
        "    querystring = {\"compCount\":str(compCount),\n",
        "                   \"address\":address,\n",
        "                   \"squareFootage\":squareFootage,\n",
        "                   \"bathrooms\":bathrooms,\n",
        "                   \"bedrooms\":bedrooms,\n",
        "                   \"propertyType\":propertyType,\n",
        "                   \"daysOld\":daysOld}\n",
        "\n",
        "    # header\n",
        "    headers = {\n",
        "        'x-rapidapi-key': rapid_api_key,\n",
        "        'x-rapidapi-host': \"realty-mole-property-api.p.rapidapi.com\"\n",
        "        }\n",
        "\n",
        "    # response\n",
        "    response = requests.request(\"GET\", url, headers=headers, params=querystring)\n",
        "    \n",
        "    # check if there is an error on the request\n",
        "    if response.status_code == 200: # no error\n",
        "        return response\n",
        "    else:\n",
        "        return \"\"\"Error {0}. See API source documentation for message and error code - https://rapidapi.com/realtymole/api/realty-mole-property-api/endpoints\"\"\"\\\n",
        "        .format(response.status_code)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ko430xMx58T5"
      },
      "source": [
        "## <font color=\"blue\">Local & Constants</font>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KCYCahU848DE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e9b420a6-08ef-444c-dbf3-fb0a089c6fe0"
      },
      "source": [
        "# mount drive\n",
        "drive.mount('/content/drive', force_remount=False)\n",
        "\n",
        "# data location\n",
        "file_dir = '/content/drive/My Drive/Colab Data/input/'"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H4Py4JSB6UrT"
      },
      "source": [
        "## <font color=\"blue\">Data</font>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Q9huhtw0_mQ9"
      },
      "source": [
        "### Get API Keys"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SsJGIj3h6S3g"
      },
      "source": [
        "# read in api key file\n",
        "df_api_keys = pd.read_csv(file_dir + 'api_keys.csv')\n",
        "\n",
        "# get keys\n",
        "rapid_api_key = df_api_keys.loc[df_api_keys['API'] =='rapid']['KEY'].iloc[0] # replace this with your own key\n",
        "google_api_key = df_api_keys.loc[df_api_keys['API'] =='google']['KEY'].iloc[0] # replace this with your own key"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "uWPyDdl6_f0q"
      },
      "source": [
        "## <font color=\"blue\">Test Address</font>\n",
        "[122 George St, South Amboy, NJ 08879](https://www.zillow.com/homedetails/122-George-St-South-Amboy-NJ-08879/39166231_zpid/)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6TUrfkg8_e0u"
      },
      "source": [
        "# street = \"728 June Lake Ln\"\n",
        "# city = \"Brandon\"\n",
        "# state = \"FL\"\n",
        "# zip_code = \"33510\"\n",
        "\n",
        "street = \"113 George St\"\n",
        "city = \"South Amboy\"\n",
        "state = \"NJ\"\n",
        "zip_code = \"08879\""
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2ftZK54F7Pa5"
      },
      "source": [
        "## <font color=\"green\">Realty Mole Comparables</font>\n",
        "<font color=\"gray\">*Search Realty Mole comparables*</font>\n",
        "\n",
        "[Rapid API - Realty Mole Endpoints](https://rapidapi.com/realtymole/api/realty-mole-property-api/endpoints)\n",
        "\n",
        "[Realty Mole Website](https://www.realtymole.com/home)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jxO0tbB07RTo"
      },
      "source": [
        "# get api response\n",
        "realty_mole_rent_response = realty_mole_rent_estimate(rapid_api_key=rapid_api_key,\n",
        "                                                    street=street,\n",
        "                                                    city=city,\n",
        "                                                    state=state,\n",
        "                                                    propertyType=\"Single Family\",\n",
        "                                                    bathrooms=2,\n",
        "                                                    bedrooms=3,\n",
        "                                                    daysOld=360,\n",
        "                                                    compCount=5)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "v9UuUwqhZp_e",
        "outputId": "d3a923f2-1500-4932-f9e2-3252435fa6c9"
      },
      "source": [
        "realty_mole_rent_response.json()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'latitude': 40.482327,\n",
              " 'listings': [{'address': '335 Catherine St',\n",
              "   'bathrooms': 2,\n",
              "   'bedrooms': 3,\n",
              "   'city': 'South Amboy',\n",
              "   'correlation': 0.9809,\n",
              "   'county': 'Middlesex County',\n",
              "   'daysOld': 29.91,\n",
              "   'distance': 0.7130049097964011,\n",
              "   'formattedAddress': '335 Catherine St, South Amboy, NJ 08879',\n",
              "   'id': '335-Catherine-St,-South-Amboy,-NJ-08879',\n",
              "   'latitude': 40.477833,\n",
              "   'longitude': -74.281954,\n",
              "   'price': 1200,\n",
              "   'propertyType': 'Single Family',\n",
              "   'publishedDate': '2022-01-20T01:14:18.751Z',\n",
              "   'squareFootage': 1434,\n",
              "   'state': 'NJ',\n",
              "   'zipcode': '08879'},\n",
              "  {'address': '119 John St',\n",
              "   'bathrooms': 2.5,\n",
              "   'bedrooms': 3,\n",
              "   'city': 'South Amboy',\n",
              "   'correlation': 0.9671,\n",
              "   'county': 'Middlesex County',\n",
              "   'daysOld': 113.85,\n",
              "   'distance': 0.07655265669433753,\n",
              "   'formattedAddress': '119 John St, South Amboy, NJ 08879',\n",
              "   'id': '119-John-St,-South-Amboy,-NJ-08879',\n",
              "   'latitude': 40.482781,\n",
              "   'longitude': -74.276633,\n",
              "   'price': 2900,\n",
              "   'propertyType': 'Single Family',\n",
              "   'publishedDate': '2021-10-28T02:44:29.490Z',\n",
              "   'squareFootage': 1592,\n",
              "   'state': 'NJ',\n",
              "   'zipcode': '08879'},\n",
              "  {'address': '218 George St',\n",
              "   'bathrooms': 1.5,\n",
              "   'bedrooms': 3,\n",
              "   'city': 'South Amboy',\n",
              "   'correlation': 0.96,\n",
              "   'county': 'Middlesex County',\n",
              "   'daysOld': 183.91,\n",
              "   'distance': 0.33149118384703974,\n",
              "   'formattedAddress': '218 George St, South Amboy, NJ 08879',\n",
              "   'id': '218-George-St,-South-Amboy,-NJ-08879',\n",
              "   'latitude': 40.481155,\n",
              "   'longitude': -74.279553,\n",
              "   'price': 2050,\n",
              "   'propertyType': 'Single Family',\n",
              "   'publishedDate': '2021-08-19T01:15:46.796Z',\n",
              "   'squareFootage': 1520,\n",
              "   'state': 'NJ',\n",
              "   'zipcode': '08879'},\n",
              "  {'address': '253 9th St, Apt A',\n",
              "   'bathrooms': 2,\n",
              "   'bedrooms': 3,\n",
              "   'city': 'South Amboy',\n",
              "   'correlation': 0.9473,\n",
              "   'county': 'Middlesex County',\n",
              "   'daysOld': 273.92,\n",
              "   'distance': 1.9285327627435334,\n",
              "   'formattedAddress': '253 9th St, Apt A, South Amboy, NJ 08879',\n",
              "   'id': '253-9th-St,-Apt-A,-South-Amboy,-NJ-08879',\n",
              "   'latitude': 40.4650031,\n",
              "   'longitude': -74.2761278,\n",
              "   'price': 2100,\n",
              "   'propertyType': 'Single Family',\n",
              "   'publishedDate': '2021-05-21T01:06:52.060Z',\n",
              "   'state': 'NJ',\n",
              "   'zipcode': '08879'},\n",
              "  {'address': '25 Adam Blvd',\n",
              "   'bathrooms': 2,\n",
              "   'bedrooms': 3,\n",
              "   'city': 'South Amboy',\n",
              "   'correlation': 0.9332,\n",
              "   'county': 'Middlesex County',\n",
              "   'daysOld': 289.94,\n",
              "   'distance': 2.4544060158644485,\n",
              "   'formattedAddress': '25 Adam Blvd, South Amboy, NJ 08879',\n",
              "   'id': '25-Adam-Blvd,-South-Amboy,-NJ-08879',\n",
              "   'latitude': 40.463769,\n",
              "   'longitude': -74.291604,\n",
              "   'price': 2850,\n",
              "   'propertyType': 'Single Family',\n",
              "   'publishedDate': '2021-05-05T00:41:32.522Z',\n",
              "   'state': 'NJ',\n",
              "   'zipcode': '08879'}],\n",
              " 'longitude': -74.27595389999999,\n",
              " 'rent': 2213.35,\n",
              " 'rentRangeHigh': 2782.41,\n",
              " 'rentRangeLow': 1644.29}"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NqTkxoB67RRo",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 600
        },
        "outputId": "84d9e12f-908c-40f7-b298-4c03cec83a8e"
      },
      "source": [
        "# transform to dataframe\n",
        "df_realty_rental_comps = pd.DataFrame(realty_mole_rent_response.json()['listings'])\n",
        "# view contents\n",
        "df_realty_rental_comps"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-de53fe6f-6225-4a55-8078-dbe3d9b3362a\">\n",
              "    <div class=\"colab-df-container\">\n",
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "\n",
              "    .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>id</th>\n",
              "      <th>formattedAddress</th>\n",
              "      <th>longitude</th>\n",
              "      <th>latitude</th>\n",
              "      <th>city</th>\n",
              "      <th>state</th>\n",
              "      <th>zipcode</th>\n",
              "      <th>price</th>\n",
              "      <th>publishedDate</th>\n",
              "      <th>distance</th>\n",
              "      <th>daysOld</th>\n",
              "      <th>correlation</th>\n",
              "      <th>address</th>\n",
              "      <th>county</th>\n",
              "      <th>bedrooms</th>\n",
              "      <th>bathrooms</th>\n",
              "      <th>propertyType</th>\n",
              "      <th>squareFootage</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>335-Catherine-St,-South-Amboy,-NJ-08879</td>\n",
              "      <td>335 Catherine St, South Amboy, NJ 08879</td>\n",
              "      <td>-74.281954</td>\n",
              "      <td>40.477833</td>\n",
              "      <td>South Amboy</td>\n",
              "      <td>NJ</td>\n",
              "      <td>08879</td>\n",
              "      <td>1200</td>\n",
              "      <td>2022-01-20T01:14:18.751Z</td>\n",
              "      <td>0.713005</td>\n",
              "      <td>29.91</td>\n",
              "      <td>0.9809</td>\n",
              "      <td>335 Catherine St</td>\n",
              "      <td>Middlesex County</td>\n",
              "      <td>3</td>\n",
              "      <td>2.0</td>\n",
              "      <td>Single Family</td>\n",
              "      <td>1434.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>119-John-St,-South-Amboy,-NJ-08879</td>\n",
              "      <td>119 John St, South Amboy, NJ 08879</td>\n",
              "      <td>-74.276633</td>\n",
              "      <td>40.482781</td>\n",
              "      <td>South Amboy</td>\n",
              "      <td>NJ</td>\n",
              "      <td>08879</td>\n",
              "      <td>2900</td>\n",
              "      <td>2021-10-28T02:44:29.490Z</td>\n",
              "      <td>0.076553</td>\n",
              "      <td>113.85</td>\n",
              "      <td>0.9671</td>\n",
              "      <td>119 John St</td>\n",
              "      <td>Middlesex County</td>\n",
              "      <td>3</td>\n",
              "      <td>2.5</td>\n",
              "      <td>Single Family</td>\n",
              "      <td>1592.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>218-George-St,-South-Amboy,-NJ-08879</td>\n",
              "      <td>218 George St, South Amboy, NJ 08879</td>\n",
              "      <td>-74.279553</td>\n",
              "      <td>40.481155</td>\n",
              "      <td>South Amboy</td>\n",
              "      <td>NJ</td>\n",
              "      <td>08879</td>\n",
              "      <td>2050</td>\n",
              "      <td>2021-08-19T01:15:46.796Z</td>\n",
              "      <td>0.331491</td>\n",
              "      <td>183.91</td>\n",
              "      <td>0.9600</td>\n",
              "      <td>218 George St</td>\n",
              "      <td>Middlesex County</td>\n",
              "      <td>3</td>\n",
              "      <td>1.5</td>\n",
              "      <td>Single Family</td>\n",
              "      <td>1520.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>253-9th-St,-Apt-A,-South-Amboy,-NJ-08879</td>\n",
              "      <td>253 9th St, Apt A, South Amboy, NJ 08879</td>\n",
              "      <td>-74.276128</td>\n",
              "      <td>40.465003</td>\n",
              "      <td>South Amboy</td>\n",
              "      <td>NJ</td>\n",
              "      <td>08879</td>\n",
              "      <td>2100</td>\n",
              "      <td>2021-05-21T01:06:52.060Z</td>\n",
              "      <td>1.928533</td>\n",
              "      <td>273.92</td>\n",
              "      <td>0.9473</td>\n",
              "      <td>253 9th St, Apt A</td>\n",
              "      <td>Middlesex County</td>\n",
              "      <td>3</td>\n",
              "      <td>2.0</td>\n",
              "      <td>Single Family</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>25-Adam-Blvd,-South-Amboy,-NJ-08879</td>\n",
              "      <td>25 Adam Blvd, South Amboy, NJ 08879</td>\n",
              "      <td>-74.291604</td>\n",
              "      <td>40.463769</td>\n",
              "      <td>South Amboy</td>\n",
              "      <td>NJ</td>\n",
              "      <td>08879</td>\n",
              "      <td>2850</td>\n",
              "      <td>2021-05-05T00:41:32.522Z</td>\n",
              "      <td>2.454406</td>\n",
              "      <td>289.94</td>\n",
              "      <td>0.9332</td>\n",
              "      <td>25 Adam Blvd</td>\n",
              "      <td>Middlesex County</td>\n",
              "      <td>3</td>\n",
              "      <td>2.0</td>\n",
              "      <td>Single Family</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-de53fe6f-6225-4a55-8078-dbe3d9b3362a')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      border-radius: 50%;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-de53fe6f-6225-4a55-8078-dbe3d9b3362a button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-de53fe6f-6225-4a55-8078-dbe3d9b3362a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                         id  ... squareFootage\n",
              "0   335-Catherine-St,-South-Amboy,-NJ-08879  ...        1434.0\n",
              "1        119-John-St,-South-Amboy,-NJ-08879  ...        1592.0\n",
              "2      218-George-St,-South-Amboy,-NJ-08879  ...        1520.0\n",
              "3  253-9th-St,-Apt-A,-South-Amboy,-NJ-08879  ...           NaN\n",
              "4       25-Adam-Blvd,-South-Amboy,-NJ-08879  ...           NaN\n",
              "\n",
              "[5 rows x 18 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pFJT4UEC1RWz",
        "outputId": "ac8596d1-57cc-4e4d-f48f-c0ca90e35b66"
      },
      "source": [
        "# zip coordinates: lattitude and longitude, to plot\n",
        "zip_lat_lon = list(zip(df_realty_rental_comps['latitude'], df_realty_rental_comps['longitude']))\n",
        "zip_lat_lon"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[(40.477833, -74.281954),\n",
              " (40.482781, -74.276633),\n",
              " (40.481155, -74.279553),\n",
              " (40.4650031, -74.2761278),\n",
              " (40.463769, -74.291604)]"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "resources": {
            "http://localhost:8080/jupyter-gmaps.js": {
              "data": "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",
              "ok": false,
              "headers": [
                [
                  "content-length",
                  "1449"
                ],
                [
                  "content-type",
                  "text/html; charset=utf-8"
                ]
              ],
              "status": 404,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 465
        },
        "id": "TRPG4IImqe4s",
        "outputId": "3fcc7072-2f7b-4629-a5a1-6012873b6218"
      },
      "source": [
        "# your Google API key\n",
        "gmaps.configure(api_key=google_api_key) \n",
        "# set figure\n",
        "fig = gmaps.figure()\n",
        "# add markers as layer\n",
        "fig.add_layer(gmaps.marker_layer(zip_lat_lon))\n",
        "# embed in html to view within google collab\n",
        "embed_minimal_html('export.html', views=[fig])\n",
        "IPython.display.HTML(filename=\"export.html\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "</script>\n",
              "\n",
              "</body>\n",
              "</html>\n"
            ],
            "text/plain": [
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          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "A_2d61vS5_mI"
      },
      "source": [
        "# End Notebook"
      ]
    }
  ]
}