UTS(ETL)_Alya_Fitri_Nurhaliza_205150201111047.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "###Data Logging"
      ],
      "metadata": {
        "id": "KoNln_l_0318"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "eariGlY20xTK"
      },
      "outputs": [],
      "source": [
        "from datetime import datetime\n",
        "\n",
        "def log(message):\n",
        "  timestamp_format = '%d-%h-%Y-%H:%M:%S'\n",
        "  now = datetime.now()\n",
        "  timestamp = now.strftime(timestamp_format)\n",
        "  with open(\"logfile.txt\", \"a\") as f:\n",
        "    f.write(timestamp + ',' + message + '\\n')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "log(\"ETL Job Started\")"
      ],
      "metadata": {
        "id": "k0sYvT0Z0-OY"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Extract"
      ],
      "metadata": {
        "id": "aH9EwBH01v9z"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "log(\"Extract phase Started\")"
      ],
      "metadata": {
        "id": "M0AXt6R8wMof"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import glob\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "from natsort import index_natsorted"
      ],
      "metadata": {
        "id": "zM-O9BtP1ySW"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from posixpath import sep\n",
        "def extract_from_json(file_to_process):\n",
        "    dataframe = pd.read_json(file_to_process,lines=True)\n",
        "    return dataframe\n",
        "\n",
        "def extract_from_csv(file_to_process): \n",
        "    dataframe = pd.read_csv(file_to_process) \n",
        "    return dataframe\n",
        "\n"
      ],
      "metadata": {
        "id": "Nqaj9_aE13AG"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "extract_from_csv('station-information.csv')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "Qy5XQeodgGVM",
        "outputId": "49a76338-3ebe-4412-d7b0-7af3faf50787"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   station_id                                               name  region_id  \\\n",
              "0    hub_1269                         P159 Sherman St / 3rd Ave.  region_80   \n",
              "1    hub_1271                           P119 Grant St / 3rd St.   region_80   \n",
              "2    hub_1272            P136 12th St / Palm Ln (Coronado Park)   region_80   \n",
              "3    hub_1273                        P175 9th St. / Van Buren St  region_80   \n",
              "4    hub_1325                          P176 Buckeye Rd / 13th St  region_80   \n",
              "5    hub_1327                         P128 McKinley St / 2nd St.  region_80   \n",
              "6    hub_1328  P134 Central Ave / McDowell Rd (Phoenix Art Mu...  region_80   \n",
              "7    hub_1329                        P173 Camelback Rd / 7th Ave  region_80   \n",
              "8    hub_1441                       P110 Van Buren St & 1st Ave   region_80   \n",
              "9    hub_1782               P118 Encanto Park (Enchanted Island)  region_80   \n",
              "10   hub_2023                    P177 Indianola Ave / 3rd Street  region_80   \n",
              "11   hub_2325                        P161 5th Ave / Roosevelt St  region_80   \n",
              "12   hub_2391                       P155 Colter St / Central Ave  region_80   \n",
              "13   hub_2456                      T20 Tempe Center for the Arts  region_81   \n",
              "14   hub_2457                                T24 Westside Center  region_81   \n",
              "15   hub_2458                               T17 Tempe Beach Park  region_81   \n",
              "16   hub_2459                     T28 Rio Salado Pkwy / Mill Ave  region_81   \n",
              "17   hub_2460                         T29 Tempe Town Lake Marina  region_81   \n",
              "18   hub_2469                          T03 Rural Rd / Terrace Rd  region_81   \n",
              "19   hub_2470                         T16 Apache Blvd / Rural Rd  region_81   \n",
              "20   hub_2472                        T04 Apache Blvd / Dorsey Ln  region_81   \n",
              "21   hub_2478                            T01 5th St / Forest Ave  region_81   \n",
              "22   hub_2525                    T14 College Ave / University Dr  region_81   \n",
              "23   hub_2528                    T05 McClintock Dr / Apache Blvd  region_81   \n",
              "24   hub_2529                    T07 Smith-Martin / Apache Blvd   region_81   \n",
              "25   hub_2549                      T13 College Ave / Apache Blvd  region_81   \n",
              "26   hub_2555                            T30 Evelyn Hallman Park  region_81   \n",
              "27   hub_2573                    T09 Washington St / Center Pkwy  region_81   \n",
              "28   hub_2574                              T02 3rd St / Mill Ave  region_81   \n",
              "29   hub_2575                       T11 University Dr / Mill Ave  region_81   \n",
              "30   hub_2576                             T18 Neil Giuliano Park  region_81   \n",
              "31   hub_2577                              T23 Escalante Center   region_81   \n",
              "32   hub_2597                             T26 ASU Memorial Union  region_81   \n",
              "33   hub_2602           T25 University Dr. / ASU Student Housing  region_81   \n",
              "34   hub_2603                   T27 McAllister Ave / Apache Blvd  region_81   \n",
              "35   hub_2604                        T12 Rural Rd / Southern Ave  region_81   \n",
              "36   hub_2605                        T22 Baseline Rd / Priest Dr  region_81   \n",
              "37   hub_2606                      T10 Washington St / Priest Dr  region_81   \n",
              "38   hub_2607                              T31 5th St / Mill Ave  region_81   \n",
              "39   hub_2609                             T15 8th St / Dorsey Ln  region_81   \n",
              "40   hub_2610                         T08 Apache Blvd / Price Rd  region_81   \n",
              "41   hub_3227                      P179 15th Ave. and Washington  region_80   \n",
              "42   hub_3228                  P107 17th Ave. and Jefferson St.   region_80   \n",
              "43   hub_3229                      P108 12th Ave. and Washington  region_80   \n",
              "44   hub_3263                           P180 Adams and 17th Ave.  region_80   \n",
              "45   hub_3264                        P168 5th St. and Washington  region_80   \n",
              "46   hub_3525                         P196 2nd St. and Roosevelt  region_80   \n",
              "47   hub_3582                T21 Forest Ave/ Lemon St. (Gammage)  region_81   \n",
              "48   hub_3583                    T32 North Tempe Multigen Center  region_81   \n",
              "49   hub_3590                T06 McClintock Dr / Rio Salado Pkwy  region_81   \n",
              "\n",
              "           lon        lat                                            address  \n",
              "0  -112.077056  33.440115                   217 West Sherman Street, Phoenix  \n",
              "1  -112.070010  33.441165  East Grant Street, Central City, Phoenix, Arizona  \n",
              "2  -112.056131  33.468297               1815-1999 North 12th Street, Phoenix  \n",
              "3  -112.062022  33.451540                  301-365 North 9th Street, Phoenix  \n",
              "4  -112.055172  33.436672                   1245b East Buckeye Road, Phoenix  \n",
              "5  -112.070865  33.456641              200-252 East McKinley Street, Phoenix  \n",
              "6  -112.073644  33.467157            1657-1763 North Central Avenue, Phoenix  \n",
              "7  -112.081795  33.509073                   533 West Camelback Road, Phoenix  \n",
              "8  -112.074777  33.451737            Central Station NB Lane Stop 2, Phoenix  \n",
              "9  -112.088247  33.473647               1202 West Encanto Boulevard, Phoenix  \n",
              "10 -112.070659  33.492359                 222 East Indianola Avenue, Phoenix  \n",
              "11 -112.080241  33.458416                      848 North 5th Avenue, Phoenix  \n",
              "12 -112.073525  33.513013                   2-16 East Colter Street, Phoenix  \n",
              "13 -111.949370  33.432379                 802 West Rio Salado Parkway, Tempe  \n",
              "14 -111.948612  33.425392                         705 West 5th Street, Tempe  \n",
              "15 -111.940602  33.429720                2-98 West Rio Salado Parkway, Tempe  \n",
              "16 -111.937321  33.430327                     East Rio Salado Parkway, Tempe  \n",
              "17 -111.932227  33.434512                      519 East Gilbert Drive, Tempe  \n",
              "18 -111.927312  33.420427                                    BUS ONLY, Tempe  \n",
              "19 -111.926882  33.414963      East Apache Boulevard, Cottonwood Hall, Tempe  \n",
              "20 -111.917076  33.414929                  1306 East Apache Boulevard, Tempe  \n",
              "21 -111.936082  33.425729                         200 East 5th Street, Tempe  \n",
              "22 -111.935138  33.422364                   230 East University Drive, Tempe  \n",
              "23 -111.908385  33.414463                  1805 East Apache Boulevard, Tempe  \n",
              "24 -111.900958  33.414557                  1961 East Apache Boulevard, Tempe  \n",
              "25 -111.934837  33.415159                        South College Avenue, Tempe  \n",
              "26 -111.936890  33.448933                      218 East Marigold Lane, Tempe  \n",
              "27 -111.945714  33.437698              West Washington Street, priest, Tempe  \n",
              "28 -111.941396  33.427329                      51-155 West 3rd Street, Tempe  \n",
              "29 -111.940503  33.422082                  2-32 West University Drive, Tempe  \n",
              "30 -111.930149  33.430453                     880 South Packard Drive, Tempe  \n",
              "31 -111.893878  33.418895                     2150 East Orange Street, Tempe  \n",
              "32 -111.933633  33.417715  451 East Orange Street, Physical Education Wes...  \n",
              "33 -111.930755  33.422829                   600-648 East Veterans Way, Tempe  \n",
              "34 -111.930843  33.415347           1180-1258 South McAllister Avenue, Tempe  \n",
              "35 -111.926577  33.391817                  3374-3460 South Rural Road, Tempe  \n",
              "36 -111.963718  33.378477                     1520 West Baseline Road, Tempe  \n",
              "37 -111.956826  33.442126                1571-1697 North Priest Drive, Tempe  \n",
              "38 -111.939351  33.425306                              425 S Mill Ave, Tempe  \n",
              "39 -111.918038  33.419525                   1012-1298 East 8th Street, Tempe  \n",
              "40 -111.888945  33.414497                  2235 East Apache Boulevard, Tempe  \n",
              "41 -112.091854  33.448244               1502 West Washington Street, Phoenix  \n",
              "42 -112.095169  33.447137           1648-1674 West Jefferson Street, Phoenix  \n",
              "43 -112.088061  33.448376                    1-99 North 12th Avenue, Phoenix  \n",
              "44 -112.095281  33.449103               1633-1699 West Adams Street, Phoenix  \n",
              "45 -112.067352  33.447862                    1-115 South 5th Street, Phoenix  \n",
              "46 -112.071128  33.458995                     1021 North 2nd Street, Phoenix  \n",
              "47 -111.936240  33.415824                    1201 South Forest Avenue, Tempe  \n",
              "48 -111.921794  33.447112              1555 North Bridalwreath Street, Tempe  \n",
              "49 -111.908476  33.429067           1807-1809 East Rio Salado Parkway, Tempe  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-88c20f71-67a6-4b9e-ad22-a0b0f14c1dd8\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>station_id</th>\n",
              "      <th>name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>lon</th>\n",
              "      <th>lat</th>\n",
              "      <th>address</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>hub_1269</td>\n",
              "      <td>P159 Sherman St / 3rd Ave.</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.077056</td>\n",
              "      <td>33.440115</td>\n",
              "      <td>217 West Sherman Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>hub_1271</td>\n",
              "      <td>P119 Grant St / 3rd St.</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.070010</td>\n",
              "      <td>33.441165</td>\n",
              "      <td>East Grant Street, Central City, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>hub_1272</td>\n",
              "      <td>P136 12th St / Palm Ln (Coronado Park)</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.056131</td>\n",
              "      <td>33.468297</td>\n",
              "      <td>1815-1999 North 12th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>hub_1273</td>\n",
              "      <td>P175 9th St. / Van Buren St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.062022</td>\n",
              "      <td>33.451540</td>\n",
              "      <td>301-365 North 9th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>hub_1325</td>\n",
              "      <td>P176 Buckeye Rd / 13th St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.055172</td>\n",
              "      <td>33.436672</td>\n",
              "      <td>1245b East Buckeye Road, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>hub_1327</td>\n",
              "      <td>P128 McKinley St / 2nd St.</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.070865</td>\n",
              "      <td>33.456641</td>\n",
              "      <td>200-252 East McKinley Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>hub_1328</td>\n",
              "      <td>P134 Central Ave / McDowell Rd (Phoenix Art Mu...</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.073644</td>\n",
              "      <td>33.467157</td>\n",
              "      <td>1657-1763 North Central Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>hub_1329</td>\n",
              "      <td>P173 Camelback Rd / 7th Ave</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.081795</td>\n",
              "      <td>33.509073</td>\n",
              "      <td>533 West Camelback Road, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>hub_1441</td>\n",
              "      <td>P110 Van Buren St &amp; 1st Ave</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.074777</td>\n",
              "      <td>33.451737</td>\n",
              "      <td>Central Station NB Lane Stop 2, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>hub_1782</td>\n",
              "      <td>P118 Encanto Park (Enchanted Island)</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.088247</td>\n",
              "      <td>33.473647</td>\n",
              "      <td>1202 West Encanto Boulevard, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>hub_2023</td>\n",
              "      <td>P177 Indianola Ave / 3rd Street</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.070659</td>\n",
              "      <td>33.492359</td>\n",
              "      <td>222 East Indianola Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>hub_2325</td>\n",
              "      <td>P161 5th Ave / Roosevelt St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.080241</td>\n",
              "      <td>33.458416</td>\n",
              "      <td>848 North 5th Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>hub_2391</td>\n",
              "      <td>P155 Colter St / Central Ave</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.073525</td>\n",
              "      <td>33.513013</td>\n",
              "      <td>2-16 East Colter Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>hub_2456</td>\n",
              "      <td>T20 Tempe Center for the Arts</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.949370</td>\n",
              "      <td>33.432379</td>\n",
              "      <td>802 West Rio Salado Parkway, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>hub_2457</td>\n",
              "      <td>T24 Westside Center</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.948612</td>\n",
              "      <td>33.425392</td>\n",
              "      <td>705 West 5th Street, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>hub_2458</td>\n",
              "      <td>T17 Tempe Beach Park</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.940602</td>\n",
              "      <td>33.429720</td>\n",
              "      <td>2-98 West Rio Salado Parkway, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>hub_2459</td>\n",
              "      <td>T28 Rio Salado Pkwy / Mill Ave</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.937321</td>\n",
              "      <td>33.430327</td>\n",
              "      <td>East Rio Salado Parkway, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>hub_2460</td>\n",
              "      <td>T29 Tempe Town Lake Marina</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.932227</td>\n",
              "      <td>33.434512</td>\n",
              "      <td>519 East Gilbert Drive, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>hub_2469</td>\n",
              "      <td>T03 Rural Rd / Terrace Rd</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.927312</td>\n",
              "      <td>33.420427</td>\n",
              "      <td>BUS ONLY, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>hub_2470</td>\n",
              "      <td>T16 Apache Blvd / Rural Rd</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.926882</td>\n",
              "      <td>33.414963</td>\n",
              "      <td>East Apache Boulevard, Cottonwood Hall, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>hub_2472</td>\n",
              "      <td>T04 Apache Blvd / Dorsey Ln</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.917076</td>\n",
              "      <td>33.414929</td>\n",
              "      <td>1306 East Apache Boulevard, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>hub_2478</td>\n",
              "      <td>T01 5th St / Forest Ave</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.936082</td>\n",
              "      <td>33.425729</td>\n",
              "      <td>200 East 5th Street, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>hub_2525</td>\n",
              "      <td>T14 College Ave / University Dr</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.935138</td>\n",
              "      <td>33.422364</td>\n",
              "      <td>230 East University Drive, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>hub_2528</td>\n",
              "      <td>T05 McClintock Dr / Apache Blvd</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.908385</td>\n",
              "      <td>33.414463</td>\n",
              "      <td>1805 East Apache Boulevard, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>hub_2529</td>\n",
              "      <td>T07 Smith-Martin / Apache Blvd</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.900958</td>\n",
              "      <td>33.414557</td>\n",
              "      <td>1961 East Apache Boulevard, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>hub_2549</td>\n",
              "      <td>T13 College Ave / Apache Blvd</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.934837</td>\n",
              "      <td>33.415159</td>\n",
              "      <td>South College Avenue, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>hub_2555</td>\n",
              "      <td>T30 Evelyn Hallman Park</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.936890</td>\n",
              "      <td>33.448933</td>\n",
              "      <td>218 East Marigold Lane, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>hub_2573</td>\n",
              "      <td>T09 Washington St / Center Pkwy</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.945714</td>\n",
              "      <td>33.437698</td>\n",
              "      <td>West Washington Street, priest, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>hub_2574</td>\n",
              "      <td>T02 3rd St / Mill Ave</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.941396</td>\n",
              "      <td>33.427329</td>\n",
              "      <td>51-155 West 3rd Street, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>hub_2575</td>\n",
              "      <td>T11 University Dr / Mill Ave</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.940503</td>\n",
              "      <td>33.422082</td>\n",
              "      <td>2-32 West University Drive, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>hub_2576</td>\n",
              "      <td>T18 Neil Giuliano Park</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.930149</td>\n",
              "      <td>33.430453</td>\n",
              "      <td>880 South Packard Drive, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>hub_2577</td>\n",
              "      <td>T23 Escalante Center</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.893878</td>\n",
              "      <td>33.418895</td>\n",
              "      <td>2150 East Orange Street, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>hub_2597</td>\n",
              "      <td>T26 ASU Memorial Union</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.933633</td>\n",
              "      <td>33.417715</td>\n",
              "      <td>451 East Orange Street, Physical Education Wes...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>hub_2602</td>\n",
              "      <td>T25 University Dr. / ASU Student Housing</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.930755</td>\n",
              "      <td>33.422829</td>\n",
              "      <td>600-648 East Veterans Way, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>hub_2603</td>\n",
              "      <td>T27 McAllister Ave / Apache Blvd</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.930843</td>\n",
              "      <td>33.415347</td>\n",
              "      <td>1180-1258 South McAllister Avenue, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>hub_2604</td>\n",
              "      <td>T12 Rural Rd / Southern Ave</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.926577</td>\n",
              "      <td>33.391817</td>\n",
              "      <td>3374-3460 South Rural Road, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>hub_2605</td>\n",
              "      <td>T22 Baseline Rd / Priest Dr</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.963718</td>\n",
              "      <td>33.378477</td>\n",
              "      <td>1520 West Baseline Road, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>hub_2606</td>\n",
              "      <td>T10 Washington St / Priest Dr</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.956826</td>\n",
              "      <td>33.442126</td>\n",
              "      <td>1571-1697 North Priest Drive, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>hub_2607</td>\n",
              "      <td>T31 5th St / Mill Ave</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.939351</td>\n",
              "      <td>33.425306</td>\n",
              "      <td>425 S Mill Ave, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>hub_2609</td>\n",
              "      <td>T15 8th St / Dorsey Ln</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.918038</td>\n",
              "      <td>33.419525</td>\n",
              "      <td>1012-1298 East 8th Street, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>hub_2610</td>\n",
              "      <td>T08 Apache Blvd / Price Rd</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.888945</td>\n",
              "      <td>33.414497</td>\n",
              "      <td>2235 East Apache Boulevard, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>hub_3227</td>\n",
              "      <td>P179 15th Ave. and Washington</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.091854</td>\n",
              "      <td>33.448244</td>\n",
              "      <td>1502 West Washington Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>hub_3228</td>\n",
              "      <td>P107 17th Ave. and Jefferson St.</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.095169</td>\n",
              "      <td>33.447137</td>\n",
              "      <td>1648-1674 West Jefferson Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>hub_3229</td>\n",
              "      <td>P108 12th Ave. and Washington</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.088061</td>\n",
              "      <td>33.448376</td>\n",
              "      <td>1-99 North 12th Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>hub_3263</td>\n",
              "      <td>P180 Adams and 17th Ave.</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.095281</td>\n",
              "      <td>33.449103</td>\n",
              "      <td>1633-1699 West Adams Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>hub_3264</td>\n",
              "      <td>P168 5th St. and Washington</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.067352</td>\n",
              "      <td>33.447862</td>\n",
              "      <td>1-115 South 5th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>hub_3525</td>\n",
              "      <td>P196 2nd St. and Roosevelt</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.071128</td>\n",
              "      <td>33.458995</td>\n",
              "      <td>1021 North 2nd Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>hub_3582</td>\n",
              "      <td>T21 Forest Ave/ Lemon St. (Gammage)</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.936240</td>\n",
              "      <td>33.415824</td>\n",
              "      <td>1201 South Forest Avenue, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48</th>\n",
              "      <td>hub_3583</td>\n",
              "      <td>T32 North Tempe Multigen Center</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.921794</td>\n",
              "      <td>33.447112</td>\n",
              "      <td>1555 North Bridalwreath Street, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>49</th>\n",
              "      <td>hub_3590</td>\n",
              "      <td>T06 McClintock Dr / Rio Salado Pkwy</td>\n",
              "      <td>region_81</td>\n",
              "      <td>-111.908476</td>\n",
              "      <td>33.429067</td>\n",
              "      <td>1807-1809 East Rio Salado Parkway, Tempe</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-88c20f71-67a6-4b9e-ad22-a0b0f14c1dd8')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-88c20f71-67a6-4b9e-ad22-a0b0f14c1dd8 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-88c20f71-67a6-4b9e-ad22-a0b0f14c1dd8');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "extract_from_json('station-information.json')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "2Elwysq4gGEN",
        "outputId": "1518e309-bcff-4125-95a1-58ae907848d4"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   station_id                                               name  region_id  \\\n",
              "0     hub_290                    P127 Central Ave / Roosevelt St  region_80   \n",
              "1     hub_297  P131 Central Ave / Willetta St  (Sponsored by ...  region_80   \n",
              "2     hub_299                      P113 11th St. / Washington St  region_80   \n",
              "3     hub_305        P116 6th St. / Monroe St (Sponsored by SRP)  region_80   \n",
              "4     hub_309                         P123 5th Ave / Fillmore St  region_80   \n",
              "5     hub_314                         P133 5th Ave / McDowell Rd  region_80   \n",
              "6     hub_316                   P144 Central Ave / Lexington Ave  region_80   \n",
              "7     hub_321                      P139 Central Ave / Vernon Ave  region_80   \n",
              "8     hub_322                        P147 7th Ave / Glenrosa Ave  region_80   \n",
              "9     hub_323  P148 Central Ave / Glenrosa Ave (Sponsored by ...  region_80   \n",
              "10    hub_325  P150 Central Ave / Camelback Rd (Sponsored by ...  region_80   \n",
              "11    hub_329                       P122 Grand Ave / McKinley St  region_80   \n",
              "12    hub_330                       P146 4th Ave / Clarendon Ave  region_80   \n",
              "13    hub_358                             P101 5th St / Grant St  region_80   \n",
              "14    hub_359        P104 Jackson St / 2nd St (Sponsored by SRP)  region_80   \n",
              "15    hub_360                P114 Adams St / 2nd Ave (City Hall)  region_80   \n",
              "16    hub_363                              P137 12th St / Oak St  region_80   \n",
              "17    hub_364                    P149 Central Ave / Campbell Ave  region_80   \n",
              "18    hub_365                       P154 Central Ave / Thomas Rd  region_80   \n",
              "19    hub_367                          P140 8th St / Sheridan St  region_80   \n",
              "20    hub_492                                  P138 Encanto Park  region_80   \n",
              "21    hub_595                               P141 Phoenix College  region_80   \n",
              "22    hub_620                            P102 1st St / Buchanan   region_80   \n",
              "23    hub_621      P121 5th St / Van Buren St (Sponsored by APS)  region_80   \n",
              "24    hub_628                        P132 10th St / Roosevelt St  region_80   \n",
              "25    hub_629                       P120 Central Ave / Taylor St  region_80   \n",
              "26    hub_632                         P129 5th St / Roosevelt St  region_80   \n",
              "27    hub_655  7th St. / Garfield St (hosted by Mother Bunch ...  region_80   \n",
              "28    hub_658    P112 3rd St / Washington St (Convention Center)  region_80   \n",
              "29    hub_660         P124 3rd St / Taylor St (Sponsored by APS)  region_80   \n",
              "30    hub_661                            P109 Adams St / 1st Ave  region_80   \n",
              "31    hub_663    P106: 1st St / Washington St (Sponsored by SRP)  region_80   \n",
              "32    hub_665                            P145 5th St / Osborn Rd  region_80   \n",
              "33    hub_666                          P117 Grand Ave / 10th Ave  region_80   \n",
              "34   hub_1267                      P172 4th Street / Jackson St   region_80   \n",
              "\n",
              "           lon        lat                                            address  \n",
              "0  -112.074011  33.459103            1000-1034 North Central Avenue, Phoenix  \n",
              "1  -112.073690  33.463849                 1401 North Central Avenue, Phoenix  \n",
              "2  -112.059274  33.448235          1010-1098 East Washington Street, Phoenix  \n",
              "3  -112.066496  33.450336  567-599 East Monroe Street, Arizona State Univ...  \n",
              "4  -112.080211  33.454812            604, North 5th Avenue, Phoenix, Arizona  \n",
              "5  -112.080309  33.465861                1600-1664 North 5th Avenue, Phoenix  \n",
              "6  -112.073782  33.486312  Light Rail, North Central Avenue, Encanto, Pho...  \n",
              "7  -112.074066  33.474214                 2334 North Central Avenue, Phoenix  \n",
              "8  -112.083571  33.498338  4130, North 7th Avenue, Encanto, Phoenix, Arizona  \n",
              "9  -112.073801  33.498013                   11 West Glenrosa Avenue, Phoenix  \n",
              "10 -112.075066  33.508603  Light Rail, West Camelback Road, Phoenix, Arizona  \n",
              "11 -112.089269  33.456968                     Grand Avenue, Phoenix, Arizona  \n",
              "12 -112.079008  33.491451                 401 West Clarendon Avenue, Phoenix  \n",
              "13 -112.066668  33.440934  East Grant Street, Central City, Phoenix, Arizona  \n",
              "14 -112.071207  33.445180                   200 East Jackson Street, Phoenix  \n",
              "15 -112.076701  33.449349  Orpheum Theatre, 203, West Adams Street, Phoen...  \n",
              "16 -112.056342  33.473030                      1200 East Oak Street, Phoenix  \n",
              "17 -112.074025  33.501674  4412, North Central Avenue, Encanto, Phoenix, ...  \n",
              "18 -112.073864  33.480025                        3 East Thomas Road, Phoenix  \n",
              "19 -112.064066  33.474834    East Sheridan Street, Encanto, Phoenix, Arizona  \n",
              "20 -112.090162  33.471471       West Holly Street, Encanto, Phoenix, Arizona  \n",
              "21 -112.088238  33.483116               3000-3048 North 11th Avenue, Phoenix  \n",
              "22 -112.072500  33.443586     Suite 1400, South 1st Street, Phoenix, Arizona  \n",
              "23 -112.067476  33.451578  College of Medicine Administration, 550, East ...  \n",
              "24 -112.060802  33.458819                    1001 North 10th Street, Phoenix  \n",
              "25 -112.074027  33.453535  METRO Light Rail, East Washington Street (Fron...  \n",
              "26 -112.067456  33.458943                1000-1022 North 5th Street, Phoenix  \n",
              "27 -112.065034  33.457246                      809 North 7th Street, Phoenix  \n",
              "28 -112.070050  33.448582                       32 North 3rd Street, Phoenix  \n",
              "29 -112.070125  33.453298                       3rd St -- Taylor St, Phoenix  \n",
              "30 -112.075363  33.449557                     114 West Adams Street, Phoenix  \n",
              "31 -112.072547  33.447888                   2 East Jefferson Street, Phoenix  \n",
              "32 -112.067322  33.487791                3400-3498 North 5th Street, Phoenix  \n",
              "33 -112.086363  33.454698      1000-1098 Phoenix-Wickenburg Highway, Phoenix  \n",
              "34 -112.068698  33.445023                      310 South 4th Street, Phoenix  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-f767f170-fe1c-4029-887c-2d7f68a70256\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>station_id</th>\n",
              "      <th>name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>lon</th>\n",
              "      <th>lat</th>\n",
              "      <th>address</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>hub_290</td>\n",
              "      <td>P127 Central Ave / Roosevelt St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.074011</td>\n",
              "      <td>33.459103</td>\n",
              "      <td>1000-1034 North Central Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>hub_297</td>\n",
              "      <td>P131 Central Ave / Willetta St  (Sponsored by ...</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.073690</td>\n",
              "      <td>33.463849</td>\n",
              "      <td>1401 North Central Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>hub_299</td>\n",
              "      <td>P113 11th St. / Washington St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.059274</td>\n",
              "      <td>33.448235</td>\n",
              "      <td>1010-1098 East Washington Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>hub_305</td>\n",
              "      <td>P116 6th St. / Monroe St (Sponsored by SRP)</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.066496</td>\n",
              "      <td>33.450336</td>\n",
              "      <td>567-599 East Monroe Street, Arizona State Univ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>hub_309</td>\n",
              "      <td>P123 5th Ave / Fillmore St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.080211</td>\n",
              "      <td>33.454812</td>\n",
              "      <td>604, North 5th Avenue, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>hub_314</td>\n",
              "      <td>P133 5th Ave / McDowell Rd</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.080309</td>\n",
              "      <td>33.465861</td>\n",
              "      <td>1600-1664 North 5th Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>hub_316</td>\n",
              "      <td>P144 Central Ave / Lexington Ave</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.073782</td>\n",
              "      <td>33.486312</td>\n",
              "      <td>Light Rail, North Central Avenue, Encanto, Pho...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>hub_321</td>\n",
              "      <td>P139 Central Ave / Vernon Ave</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.074066</td>\n",
              "      <td>33.474214</td>\n",
              "      <td>2334 North Central Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>hub_322</td>\n",
              "      <td>P147 7th Ave / Glenrosa Ave</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.083571</td>\n",
              "      <td>33.498338</td>\n",
              "      <td>4130, North 7th Avenue, Encanto, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>hub_323</td>\n",
              "      <td>P148 Central Ave / Glenrosa Ave (Sponsored by ...</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.073801</td>\n",
              "      <td>33.498013</td>\n",
              "      <td>11 West Glenrosa Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>hub_325</td>\n",
              "      <td>P150 Central Ave / Camelback Rd (Sponsored by ...</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.075066</td>\n",
              "      <td>33.508603</td>\n",
              "      <td>Light Rail, West Camelback Road, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>hub_329</td>\n",
              "      <td>P122 Grand Ave / McKinley St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.089269</td>\n",
              "      <td>33.456968</td>\n",
              "      <td>Grand Avenue, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>hub_330</td>\n",
              "      <td>P146 4th Ave / Clarendon Ave</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.079008</td>\n",
              "      <td>33.491451</td>\n",
              "      <td>401 West Clarendon Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>hub_358</td>\n",
              "      <td>P101 5th St / Grant St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.066668</td>\n",
              "      <td>33.440934</td>\n",
              "      <td>East Grant Street, Central City, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>hub_359</td>\n",
              "      <td>P104 Jackson St / 2nd St (Sponsored by SRP)</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.071207</td>\n",
              "      <td>33.445180</td>\n",
              "      <td>200 East Jackson Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>hub_360</td>\n",
              "      <td>P114 Adams St / 2nd Ave (City Hall)</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.076701</td>\n",
              "      <td>33.449349</td>\n",
              "      <td>Orpheum Theatre, 203, West Adams Street, Phoen...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>hub_363</td>\n",
              "      <td>P137 12th St / Oak St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.056342</td>\n",
              "      <td>33.473030</td>\n",
              "      <td>1200 East Oak Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>hub_364</td>\n",
              "      <td>P149 Central Ave / Campbell Ave</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.074025</td>\n",
              "      <td>33.501674</td>\n",
              "      <td>4412, North Central Avenue, Encanto, Phoenix, ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>hub_365</td>\n",
              "      <td>P154 Central Ave / Thomas Rd</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.073864</td>\n",
              "      <td>33.480025</td>\n",
              "      <td>3 East Thomas Road, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>hub_367</td>\n",
              "      <td>P140 8th St / Sheridan St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.064066</td>\n",
              "      <td>33.474834</td>\n",
              "      <td>East Sheridan Street, Encanto, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>hub_492</td>\n",
              "      <td>P138 Encanto Park</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.090162</td>\n",
              "      <td>33.471471</td>\n",
              "      <td>West Holly Street, Encanto, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>hub_595</td>\n",
              "      <td>P141 Phoenix College</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.088238</td>\n",
              "      <td>33.483116</td>\n",
              "      <td>3000-3048 North 11th Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>hub_620</td>\n",
              "      <td>P102 1st St / Buchanan</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.072500</td>\n",
              "      <td>33.443586</td>\n",
              "      <td>Suite 1400, South 1st Street, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>hub_621</td>\n",
              "      <td>P121 5th St / Van Buren St (Sponsored by APS)</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.067476</td>\n",
              "      <td>33.451578</td>\n",
              "      <td>College of Medicine Administration, 550, East ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>hub_628</td>\n",
              "      <td>P132 10th St / Roosevelt St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.060802</td>\n",
              "      <td>33.458819</td>\n",
              "      <td>1001 North 10th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>hub_629</td>\n",
              "      <td>P120 Central Ave / Taylor St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.074027</td>\n",
              "      <td>33.453535</td>\n",
              "      <td>METRO Light Rail, East Washington Street (Fron...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>hub_632</td>\n",
              "      <td>P129 5th St / Roosevelt St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.067456</td>\n",
              "      <td>33.458943</td>\n",
              "      <td>1000-1022 North 5th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>hub_655</td>\n",
              "      <td>7th St. / Garfield St (hosted by Mother Bunch ...</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.065034</td>\n",
              "      <td>33.457246</td>\n",
              "      <td>809 North 7th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>hub_658</td>\n",
              "      <td>P112 3rd St / Washington St (Convention Center)</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.070050</td>\n",
              "      <td>33.448582</td>\n",
              "      <td>32 North 3rd Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>hub_660</td>\n",
              "      <td>P124 3rd St / Taylor St (Sponsored by APS)</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.070125</td>\n",
              "      <td>33.453298</td>\n",
              "      <td>3rd St -- Taylor St, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>hub_661</td>\n",
              "      <td>P109 Adams St / 1st Ave</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.075363</td>\n",
              "      <td>33.449557</td>\n",
              "      <td>114 West Adams Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>hub_663</td>\n",
              "      <td>P106: 1st St / Washington St (Sponsored by SRP)</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.072547</td>\n",
              "      <td>33.447888</td>\n",
              "      <td>2 East Jefferson Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>hub_665</td>\n",
              "      <td>P145 5th St / Osborn Rd</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.067322</td>\n",
              "      <td>33.487791</td>\n",
              "      <td>3400-3498 North 5th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>hub_666</td>\n",
              "      <td>P117 Grand Ave / 10th Ave</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.086363</td>\n",
              "      <td>33.454698</td>\n",
              "      <td>1000-1098 Phoenix-Wickenburg Highway, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>hub_1267</td>\n",
              "      <td>P172 4th Street / Jackson St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.068698</td>\n",
              "      <td>33.445023</td>\n",
              "      <td>310 South 4th Street, Phoenix</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f767f170-fe1c-4029-887c-2d7f68a70256')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-f767f170-fe1c-4029-887c-2d7f68a70256 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-f767f170-fe1c-4029-887c-2d7f68a70256');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def extract():\n",
        "    extracted_data = pd.DataFrame(columns=['station_id','name','region_id', 'lon', 'lat', 'address'])\n",
        "    #for csv files\n",
        "    for csvfile in glob.glob(\"*.csv\"):\n",
        "      extracted_data = extracted_data.append(extract_from_csv('station-information.csv'), ignore_index=True) \n",
        "    #for json files\n",
        "    for jsonfile in glob.glob(\"*.json\"):\n",
        "      extracted_data = extracted_data.append(extract_from_json('station-information.json'), ignore_index=True)\n",
        "    return extracted_data"
      ],
      "metadata": {
        "id": "pQM0IhQJ14r3"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_info = extract()\n",
        "df_info"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 554
        },
        "id": "nIbBpnlo1-EZ",
        "outputId": "60aa00d0-d8b6-4833-a021-9efc3c283cb6"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    station_id                                             name  region_id  \\\n",
              "0     hub_1269                       P159 Sherman St / 3rd Ave.  region_80   \n",
              "1     hub_1271                         P119 Grant St / 3rd St.   region_80   \n",
              "2     hub_1272          P136 12th St / Palm Ln (Coronado Park)   region_80   \n",
              "3     hub_1273                      P175 9th St. / Van Buren St  region_80   \n",
              "4     hub_1325                        P176 Buckeye Rd / 13th St  region_80   \n",
              "..         ...                                              ...        ...   \n",
              "185    hub_661                          P109 Adams St / 1st Ave  region_80   \n",
              "186    hub_663  P106: 1st St / Washington St (Sponsored by SRP)  region_80   \n",
              "187    hub_665                          P145 5th St / Osborn Rd  region_80   \n",
              "188    hub_666                        P117 Grand Ave / 10th Ave  region_80   \n",
              "189   hub_1267                    P172 4th Street / Jackson St   region_80   \n",
              "\n",
              "            lon        lat                                            address  \n",
              "0   -112.077056  33.440115                   217 West Sherman Street, Phoenix  \n",
              "1   -112.070010  33.441165  East Grant Street, Central City, Phoenix, Arizona  \n",
              "2   -112.056131  33.468297               1815-1999 North 12th Street, Phoenix  \n",
              "3   -112.062022  33.451540                  301-365 North 9th Street, Phoenix  \n",
              "4   -112.055172  33.436672                   1245b East Buckeye Road, Phoenix  \n",
              "..          ...        ...                                                ...  \n",
              "185 -112.075363  33.449557                     114 West Adams Street, Phoenix  \n",
              "186 -112.072547  33.447888                   2 East Jefferson Street, Phoenix  \n",
              "187 -112.067322  33.487791                3400-3498 North 5th Street, Phoenix  \n",
              "188 -112.086363  33.454698      1000-1098 Phoenix-Wickenburg Highway, Phoenix  \n",
              "189 -112.068698  33.445023                      310 South 4th Street, Phoenix  \n",
              "\n",
              "[190 rows x 6 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-179d78b0-de18-482b-99e1-58afb8cf2529\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>station_id</th>\n",
              "      <th>name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>lon</th>\n",
              "      <th>lat</th>\n",
              "      <th>address</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>hub_1269</td>\n",
              "      <td>P159 Sherman St / 3rd Ave.</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.077056</td>\n",
              "      <td>33.440115</td>\n",
              "      <td>217 West Sherman Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>hub_1271</td>\n",
              "      <td>P119 Grant St / 3rd St.</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.070010</td>\n",
              "      <td>33.441165</td>\n",
              "      <td>East Grant Street, Central City, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>hub_1272</td>\n",
              "      <td>P136 12th St / Palm Ln (Coronado Park)</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.056131</td>\n",
              "      <td>33.468297</td>\n",
              "      <td>1815-1999 North 12th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>hub_1273</td>\n",
              "      <td>P175 9th St. / Van Buren St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.062022</td>\n",
              "      <td>33.451540</td>\n",
              "      <td>301-365 North 9th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>hub_1325</td>\n",
              "      <td>P176 Buckeye Rd / 13th St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.055172</td>\n",
              "      <td>33.436672</td>\n",
              "      <td>1245b East Buckeye Road, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>185</th>\n",
              "      <td>hub_661</td>\n",
              "      <td>P109 Adams St / 1st Ave</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.075363</td>\n",
              "      <td>33.449557</td>\n",
              "      <td>114 West Adams Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>186</th>\n",
              "      <td>hub_663</td>\n",
              "      <td>P106: 1st St / Washington St (Sponsored by SRP)</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.072547</td>\n",
              "      <td>33.447888</td>\n",
              "      <td>2 East Jefferson Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>187</th>\n",
              "      <td>hub_665</td>\n",
              "      <td>P145 5th St / Osborn Rd</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.067322</td>\n",
              "      <td>33.487791</td>\n",
              "      <td>3400-3498 North 5th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188</th>\n",
              "      <td>hub_666</td>\n",
              "      <td>P117 Grand Ave / 10th Ave</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.086363</td>\n",
              "      <td>33.454698</td>\n",
              "      <td>1000-1098 Phoenix-Wickenburg Highway, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>189</th>\n",
              "      <td>hub_1267</td>\n",
              "      <td>P172 4th Street / Jackson St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.068698</td>\n",
              "      <td>33.445023</td>\n",
              "      <td>310 South 4th Street, Phoenix</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>190 rows × 6 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-179d78b0-de18-482b-99e1-58afb8cf2529')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-179d78b0-de18-482b-99e1-58afb8cf2529 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-179d78b0-de18-482b-99e1-58afb8cf2529');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_bike = extract_from_json('bike.json')\n",
        "df_bike"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 708
        },
        "id": "su8Qu-vkmDwA",
        "outputId": "2cddd7b4-6c7b-423b-a1f2-b568003a0168"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       bike_id                      name  region_id  is_reserved  is_disabled  \\\n",
              "0   bike_12749                      T723  region_80            0            0   \n",
              "1   bike_12881                      T782  region_81            0            0   \n",
              "2    bike_1356                  GRID 182  region_80            0            0   \n",
              "3   bike_13053                      T986  region_81            0            0   \n",
              "4   bike_10563                 GRID 2007  region_80            0            0   \n",
              "5   bike_17318                 GRID 2025  region_81            0            0   \n",
              "6   bike_12872                      T833  region_80            0            0   \n",
              "7    bike_5032                    M 2264  region_81            0            0   \n",
              "8   bike_12766                      T756  region_80            0            0   \n",
              "9   bike_13103                      T933  region_81            0            0   \n",
              "10    bike_799                 GRID 086   region_81            0            0   \n",
              "11  bike_13054                      T987  region_81            0            0   \n",
              "12  bike_13095                      T961  region_80            0            0   \n",
              "13  bike_12786                      T731  region_80            0            0   \n",
              "14  bike_12869                      T839  region_81            0            0   \n",
              "15  bike_12763                      T755  region_80            0            0   \n",
              "16  bike_13069                      T996        NaN            0            0   \n",
              "17   bike_5046  GRID 402 FIRMWARE RESCUE  region_80            0            0   \n",
              "18  bike_12866                      T837  region_81            0            0   \n",
              "19  bike_12845                      T819  region_81            0            0   \n",
              "20  bike_13042                      T939  region_80            0            0   \n",
              "\n",
              "           lon       lat  \n",
              "0          NaN       NaN  \n",
              "1          NaN       NaN  \n",
              "2          NaN       NaN  \n",
              "3          NaN       NaN  \n",
              "4          NaN       NaN  \n",
              "5          NaN       NaN  \n",
              "6          NaN       NaN  \n",
              "7          NaN       NaN  \n",
              "8          NaN       NaN  \n",
              "9          NaN       NaN  \n",
              "10         NaN       NaN  \n",
              "11         NaN       NaN  \n",
              "12         NaN       NaN  \n",
              "13         NaN       NaN  \n",
              "14         NaN       NaN  \n",
              "15         NaN       NaN  \n",
              "16 -111.950743  33.38436  \n",
              "17         NaN       NaN  \n",
              "18         NaN       NaN  \n",
              "19         NaN       NaN  \n",
              "20         NaN       NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-df75150f-3d20-4dc7-93c4-f5bc986feda5\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>bike_id</th>\n",
              "      <th>name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>is_reserved</th>\n",
              "      <th>is_disabled</th>\n",
              "      <th>lon</th>\n",
              "      <th>lat</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>bike_12749</td>\n",
              "      <td>T723</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>bike_12881</td>\n",
              "      <td>T782</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>bike_1356</td>\n",
              "      <td>GRID 182</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>bike_13053</td>\n",
              "      <td>T986</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>bike_10563</td>\n",
              "      <td>GRID 2007</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>bike_17318</td>\n",
              "      <td>GRID 2025</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>bike_12872</td>\n",
              "      <td>T833</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>bike_5032</td>\n",
              "      <td>M 2264</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>bike_12766</td>\n",
              "      <td>T756</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>bike_13103</td>\n",
              "      <td>T933</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>bike_799</td>\n",
              "      <td>GRID 086</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>bike_13054</td>\n",
              "      <td>T987</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>bike_13095</td>\n",
              "      <td>T961</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>bike_12786</td>\n",
              "      <td>T731</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>bike_12869</td>\n",
              "      <td>T839</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>bike_12763</td>\n",
              "      <td>T755</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>bike_13069</td>\n",
              "      <td>T996</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>-111.950743</td>\n",
              "      <td>33.38436</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>bike_5046</td>\n",
              "      <td>GRID 402 FIRMWARE RESCUE</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>bike_12866</td>\n",
              "      <td>T837</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>bike_12845</td>\n",
              "      <td>T819</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>bike_13042</td>\n",
              "      <td>T939</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-df75150f-3d20-4dc7-93c4-f5bc986feda5')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-df75150f-3d20-4dc7-93c4-f5bc986feda5 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-df75150f-3d20-4dc7-93c4-f5bc986feda5');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_region = extract_from_json('system-regions.json')\n",
        "df_region"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 112
        },
        "id": "JBxL3XlpmKI4",
        "outputId": "465ecf0e-b2bf-4850-e913-67cc8419dfc0"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   region_id     name\n",
              "0  region_81    Tempe\n",
              "1  region_80  Phoenix"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8bbd8371-46ac-40c8-8ceb-e67a7bcf68c8\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>region_id</th>\n",
              "      <th>name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>region_81</td>\n",
              "      <td>Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>region_80</td>\n",
              "      <td>Phoenix</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8bbd8371-46ac-40c8-8ceb-e67a7bcf68c8')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-8bbd8371-46ac-40c8-8ceb-e67a7bcf68c8 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-8bbd8371-46ac-40c8-8ceb-e67a7bcf68c8');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_status = extract_from_json('station-status.json')\n",
        "\n",
        "df_status"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "id": "qweftJ3In0Be",
        "outputId": "51c0d847-c02e-4bcb-889b-763fc93a1336"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   station_id  num_bikes_available  num_bikes_disabled  num_docks_available  \\\n",
              "0     hub_290                    9                   0                   15   \n",
              "1     hub_297                    6                   0                   11   \n",
              "2     hub_299                    8                   0                    0   \n",
              "3     hub_305                    5                   0                    0   \n",
              "4     hub_309                    6                   0                    3   \n",
              "..        ...                  ...                 ...                  ...   \n",
              "90   hub_5259                    0                   0                    4   \n",
              "91   hub_5264                    0                   0                    6   \n",
              "92   hub_5266                    0                   0                    6   \n",
              "93   hub_5418                    8                   0                    1   \n",
              "94   hub_5500                    3                   0                    7   \n",
              "\n",
              "    is_installed  is_renting  is_returning  last_reported  \n",
              "0              1           1             1     1588192647  \n",
              "1              1           1             1     1588192647  \n",
              "2              1           1             1     1588192647  \n",
              "3              1           1             1     1588192647  \n",
              "4              1           1             1     1588192647  \n",
              "..           ...         ...           ...            ...  \n",
              "90             1           1             1     1588192647  \n",
              "91             1           1             1     1588192647  \n",
              "92             1           1             1     1588192647  \n",
              "93             1           1             1     1588192647  \n",
              "94             1           1             1     1588192647  \n",
              "\n",
              "[95 rows x 8 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4c8bfd31-9ad9-4452-a6a2-f0b3865f0783\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>station_id</th>\n",
              "      <th>num_bikes_available</th>\n",
              "      <th>num_bikes_disabled</th>\n",
              "      <th>num_docks_available</th>\n",
              "      <th>is_installed</th>\n",
              "      <th>is_renting</th>\n",
              "      <th>is_returning</th>\n",
              "      <th>last_reported</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>hub_290</td>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>15</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>hub_297</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>11</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>hub_299</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>hub_305</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>hub_309</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>hub_5259</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>hub_5264</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>hub_5266</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>hub_5418</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>94</th>\n",
              "      <td>hub_5500</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>95 rows × 8 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4c8bfd31-9ad9-4452-a6a2-f0b3865f0783')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-4c8bfd31-9ad9-4452-a6a2-f0b3865f0783 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-4c8bfd31-9ad9-4452-a6a2-f0b3865f0783');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Transform"
      ],
      "metadata": {
        "id": "2U4q4BjZ3iws"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "log(\"Transform phase Started\")"
      ],
      "metadata": {
        "id": "yRb6x-igwRti"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "###Dataset Stasiun"
      ],
      "metadata": {
        "id": "JNGX6lSVbg-S"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_info['station_id'] = df_info['station_id'].str.replace(r'\\D', '')\n",
        "df_info"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 609
        },
        "id": "AJjc3qSA3ifP",
        "outputId": "02a4a1b4-74b5-478a-c747-815f9f29dfe5"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: FutureWarning: The default value of regex will change from True to False in a future version.\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    station_id                                             name  region_id  \\\n",
              "0         1269                       P159 Sherman St / 3rd Ave.  region_80   \n",
              "1         1271                         P119 Grant St / 3rd St.   region_80   \n",
              "2         1272          P136 12th St / Palm Ln (Coronado Park)   region_80   \n",
              "3         1273                      P175 9th St. / Van Buren St  region_80   \n",
              "4         1325                        P176 Buckeye Rd / 13th St  region_80   \n",
              "..         ...                                              ...        ...   \n",
              "185        661                          P109 Adams St / 1st Ave  region_80   \n",
              "186        663  P106: 1st St / Washington St (Sponsored by SRP)  region_80   \n",
              "187        665                          P145 5th St / Osborn Rd  region_80   \n",
              "188        666                        P117 Grand Ave / 10th Ave  region_80   \n",
              "189       1267                    P172 4th Street / Jackson St   region_80   \n",
              "\n",
              "            lon        lat                                            address  \n",
              "0   -112.077056  33.440115                   217 West Sherman Street, Phoenix  \n",
              "1   -112.070010  33.441165  East Grant Street, Central City, Phoenix, Arizona  \n",
              "2   -112.056131  33.468297               1815-1999 North 12th Street, Phoenix  \n",
              "3   -112.062022  33.451540                  301-365 North 9th Street, Phoenix  \n",
              "4   -112.055172  33.436672                   1245b East Buckeye Road, Phoenix  \n",
              "..          ...        ...                                                ...  \n",
              "185 -112.075363  33.449557                     114 West Adams Street, Phoenix  \n",
              "186 -112.072547  33.447888                   2 East Jefferson Street, Phoenix  \n",
              "187 -112.067322  33.487791                3400-3498 North 5th Street, Phoenix  \n",
              "188 -112.086363  33.454698      1000-1098 Phoenix-Wickenburg Highway, Phoenix  \n",
              "189 -112.068698  33.445023                      310 South 4th Street, Phoenix  \n",
              "\n",
              "[190 rows x 6 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-cd5d5225-5ab6-4a23-bd31-2a5d01daef4f\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>station_id</th>\n",
              "      <th>name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>lon</th>\n",
              "      <th>lat</th>\n",
              "      <th>address</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1269</td>\n",
              "      <td>P159 Sherman St / 3rd Ave.</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.077056</td>\n",
              "      <td>33.440115</td>\n",
              "      <td>217 West Sherman Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1271</td>\n",
              "      <td>P119 Grant St / 3rd St.</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.070010</td>\n",
              "      <td>33.441165</td>\n",
              "      <td>East Grant Street, Central City, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1272</td>\n",
              "      <td>P136 12th St / Palm Ln (Coronado Park)</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.056131</td>\n",
              "      <td>33.468297</td>\n",
              "      <td>1815-1999 North 12th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1273</td>\n",
              "      <td>P175 9th St. / Van Buren St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.062022</td>\n",
              "      <td>33.451540</td>\n",
              "      <td>301-365 North 9th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1325</td>\n",
              "      <td>P176 Buckeye Rd / 13th St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.055172</td>\n",
              "      <td>33.436672</td>\n",
              "      <td>1245b East Buckeye Road, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>185</th>\n",
              "      <td>661</td>\n",
              "      <td>P109 Adams St / 1st Ave</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.075363</td>\n",
              "      <td>33.449557</td>\n",
              "      <td>114 West Adams Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>186</th>\n",
              "      <td>663</td>\n",
              "      <td>P106: 1st St / Washington St (Sponsored by SRP)</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.072547</td>\n",
              "      <td>33.447888</td>\n",
              "      <td>2 East Jefferson Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>187</th>\n",
              "      <td>665</td>\n",
              "      <td>P145 5th St / Osborn Rd</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.067322</td>\n",
              "      <td>33.487791</td>\n",
              "      <td>3400-3498 North 5th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188</th>\n",
              "      <td>666</td>\n",
              "      <td>P117 Grand Ave / 10th Ave</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.086363</td>\n",
              "      <td>33.454698</td>\n",
              "      <td>1000-1098 Phoenix-Wickenburg Highway, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>189</th>\n",
              "      <td>1267</td>\n",
              "      <td>P172 4th Street / Jackson St</td>\n",
              "      <td>region_80</td>\n",
              "      <td>-112.068698</td>\n",
              "      <td>33.445023</td>\n",
              "      <td>310 South 4th Street, Phoenix</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>190 rows × 6 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-cd5d5225-5ab6-4a23-bd31-2a5d01daef4f')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-cd5d5225-5ab6-4a23-bd31-2a5d01daef4f 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-cd5d5225-5ab6-4a23-bd31-2a5d01daef4f');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_info['region_id'] = df_info['region_id'].str.replace(r'\\D', '')\n",
        "df_info"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 609
        },
        "id": "NtKLS0IjwMyU",
        "outputId": "34f0c95f-eff8-428f-a66d-a9221d20f546"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: FutureWarning: The default value of regex will change from True to False in a future version.\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    station_id                                             name region_id  \\\n",
              "0         1269                       P159 Sherman St / 3rd Ave.        80   \n",
              "1         1271                         P119 Grant St / 3rd St.         80   \n",
              "2         1272          P136 12th St / Palm Ln (Coronado Park)         80   \n",
              "3         1273                      P175 9th St. / Van Buren St        80   \n",
              "4         1325                        P176 Buckeye Rd / 13th St        80   \n",
              "..         ...                                              ...       ...   \n",
              "185        661                          P109 Adams St / 1st Ave        80   \n",
              "186        663  P106: 1st St / Washington St (Sponsored by SRP)        80   \n",
              "187        665                          P145 5th St / Osborn Rd        80   \n",
              "188        666                        P117 Grand Ave / 10th Ave        80   \n",
              "189       1267                    P172 4th Street / Jackson St         80   \n",
              "\n",
              "            lon        lat                                            address  \n",
              "0   -112.077056  33.440115                   217 West Sherman Street, Phoenix  \n",
              "1   -112.070010  33.441165  East Grant Street, Central City, Phoenix, Arizona  \n",
              "2   -112.056131  33.468297               1815-1999 North 12th Street, Phoenix  \n",
              "3   -112.062022  33.451540                  301-365 North 9th Street, Phoenix  \n",
              "4   -112.055172  33.436672                   1245b East Buckeye Road, Phoenix  \n",
              "..          ...        ...                                                ...  \n",
              "185 -112.075363  33.449557                     114 West Adams Street, Phoenix  \n",
              "186 -112.072547  33.447888                   2 East Jefferson Street, Phoenix  \n",
              "187 -112.067322  33.487791                3400-3498 North 5th Street, Phoenix  \n",
              "188 -112.086363  33.454698      1000-1098 Phoenix-Wickenburg Highway, Phoenix  \n",
              "189 -112.068698  33.445023                      310 South 4th Street, Phoenix  \n",
              "\n",
              "[190 rows x 6 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-121965e9-2853-4485-aa40-07b1c41c81e3\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>station_id</th>\n",
              "      <th>name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>lon</th>\n",
              "      <th>lat</th>\n",
              "      <th>address</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1269</td>\n",
              "      <td>P159 Sherman St / 3rd Ave.</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.077056</td>\n",
              "      <td>33.440115</td>\n",
              "      <td>217 West Sherman Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1271</td>\n",
              "      <td>P119 Grant St / 3rd St.</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.070010</td>\n",
              "      <td>33.441165</td>\n",
              "      <td>East Grant Street, Central City, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1272</td>\n",
              "      <td>P136 12th St / Palm Ln (Coronado Park)</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.056131</td>\n",
              "      <td>33.468297</td>\n",
              "      <td>1815-1999 North 12th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1273</td>\n",
              "      <td>P175 9th St. / Van Buren St</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.062022</td>\n",
              "      <td>33.451540</td>\n",
              "      <td>301-365 North 9th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1325</td>\n",
              "      <td>P176 Buckeye Rd / 13th St</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.055172</td>\n",
              "      <td>33.436672</td>\n",
              "      <td>1245b East Buckeye Road, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>185</th>\n",
              "      <td>661</td>\n",
              "      <td>P109 Adams St / 1st Ave</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.075363</td>\n",
              "      <td>33.449557</td>\n",
              "      <td>114 West Adams Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>186</th>\n",
              "      <td>663</td>\n",
              "      <td>P106: 1st St / Washington St (Sponsored by SRP)</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.072547</td>\n",
              "      <td>33.447888</td>\n",
              "      <td>2 East Jefferson Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>187</th>\n",
              "      <td>665</td>\n",
              "      <td>P145 5th St / Osborn Rd</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.067322</td>\n",
              "      <td>33.487791</td>\n",
              "      <td>3400-3498 North 5th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188</th>\n",
              "      <td>666</td>\n",
              "      <td>P117 Grand Ave / 10th Ave</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.086363</td>\n",
              "      <td>33.454698</td>\n",
              "      <td>1000-1098 Phoenix-Wickenburg Highway, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>189</th>\n",
              "      <td>1267</td>\n",
              "      <td>P172 4th Street / Jackson St</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.068698</td>\n",
              "      <td>33.445023</td>\n",
              "      <td>310 South 4th Street, Phoenix</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>190 rows × 6 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-121965e9-2853-4485-aa40-07b1c41c81e3')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-121965e9-2853-4485-aa40-07b1c41c81e3 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-121965e9-2853-4485-aa40-07b1c41c81e3');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "duplicate = df_info[df_info.duplicated()]\n",
        "duplicate"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 606
        },
        "id": "mReuO-4u7ixb",
        "outputId": "aa761a01-7ec0-4be1-a2f9-c985ee203ca5"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    station_id                                               name region_id  \\\n",
              "85         290                    P127 Central Ave / Roosevelt St        80   \n",
              "86         297  P131 Central Ave / Willetta St  (Sponsored by ...        80   \n",
              "87         299                      P113 11th St. / Washington St        80   \n",
              "88         305        P116 6th St. / Monroe St (Sponsored by SRP)        80   \n",
              "89         309                         P123 5th Ave / Fillmore St        80   \n",
              "..         ...                                                ...       ...   \n",
              "185        661                            P109 Adams St / 1st Ave        80   \n",
              "186        663    P106: 1st St / Washington St (Sponsored by SRP)        80   \n",
              "187        665                            P145 5th St / Osborn Rd        80   \n",
              "188        666                          P117 Grand Ave / 10th Ave        80   \n",
              "189       1267                      P172 4th Street / Jackson St         80   \n",
              "\n",
              "            lon        lat                                            address  \n",
              "85  -112.074011  33.459103            1000-1034 North Central Avenue, Phoenix  \n",
              "86  -112.073690  33.463849                 1401 North Central Avenue, Phoenix  \n",
              "87  -112.059274  33.448235          1010-1098 East Washington Street, Phoenix  \n",
              "88  -112.066496  33.450336  567-599 East Monroe Street, Arizona State Univ...  \n",
              "89  -112.080211  33.454812            604, North 5th Avenue, Phoenix, Arizona  \n",
              "..          ...        ...                                                ...  \n",
              "185 -112.075363  33.449557                     114 West Adams Street, Phoenix  \n",
              "186 -112.072547  33.447888                   2 East Jefferson Street, Phoenix  \n",
              "187 -112.067322  33.487791                3400-3498 North 5th Street, Phoenix  \n",
              "188 -112.086363  33.454698      1000-1098 Phoenix-Wickenburg Highway, Phoenix  \n",
              "189 -112.068698  33.445023                      310 South 4th Street, Phoenix  \n",
              "\n",
              "[105 rows x 6 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-a302dc49-6ef6-4df6-950c-bfc77b9c5adb\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>station_id</th>\n",
              "      <th>name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>lon</th>\n",
              "      <th>lat</th>\n",
              "      <th>address</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>85</th>\n",
              "      <td>290</td>\n",
              "      <td>P127 Central Ave / Roosevelt St</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.074011</td>\n",
              "      <td>33.459103</td>\n",
              "      <td>1000-1034 North Central Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>297</td>\n",
              "      <td>P131 Central Ave / Willetta St  (Sponsored by ...</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.073690</td>\n",
              "      <td>33.463849</td>\n",
              "      <td>1401 North Central Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>87</th>\n",
              "      <td>299</td>\n",
              "      <td>P113 11th St. / Washington St</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.059274</td>\n",
              "      <td>33.448235</td>\n",
              "      <td>1010-1098 East Washington Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>88</th>\n",
              "      <td>305</td>\n",
              "      <td>P116 6th St. / Monroe St (Sponsored by SRP)</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.066496</td>\n",
              "      <td>33.450336</td>\n",
              "      <td>567-599 East Monroe Street, Arizona State Univ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89</th>\n",
              "      <td>309</td>\n",
              "      <td>P123 5th Ave / Fillmore St</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.080211</td>\n",
              "      <td>33.454812</td>\n",
              "      <td>604, North 5th Avenue, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>185</th>\n",
              "      <td>661</td>\n",
              "      <td>P109 Adams St / 1st Ave</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.075363</td>\n",
              "      <td>33.449557</td>\n",
              "      <td>114 West Adams Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>186</th>\n",
              "      <td>663</td>\n",
              "      <td>P106: 1st St / Washington St (Sponsored by SRP)</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.072547</td>\n",
              "      <td>33.447888</td>\n",
              "      <td>2 East Jefferson Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>187</th>\n",
              "      <td>665</td>\n",
              "      <td>P145 5th St / Osborn Rd</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.067322</td>\n",
              "      <td>33.487791</td>\n",
              "      <td>3400-3498 North 5th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>188</th>\n",
              "      <td>666</td>\n",
              "      <td>P117 Grand Ave / 10th Ave</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.086363</td>\n",
              "      <td>33.454698</td>\n",
              "      <td>1000-1098 Phoenix-Wickenburg Highway, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>189</th>\n",
              "      <td>1267</td>\n",
              "      <td>P172 4th Street / Jackson St</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.068698</td>\n",
              "      <td>33.445023</td>\n",
              "      <td>310 South 4th Street, Phoenix</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>105 rows × 6 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a302dc49-6ef6-4df6-950c-bfc77b9c5adb')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-a302dc49-6ef6-4df6-950c-bfc77b9c5adb 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-a302dc49-6ef6-4df6-950c-bfc77b9c5adb');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_info = df_info.drop_duplicates(ignore_index=True)"
      ],
      "metadata": {
        "id": "oPhx9jSo-SRM"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_info"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 537
        },
        "id": "t_AAxKcg_ryZ",
        "outputId": "02cd3728-2e4b-4713-e92e-e652479456da"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   station_id                                             name region_id  \\\n",
              "0        1269                       P159 Sherman St / 3rd Ave.        80   \n",
              "1        1271                         P119 Grant St / 3rd St.         80   \n",
              "2        1272          P136 12th St / Palm Ln (Coronado Park)         80   \n",
              "3        1273                      P175 9th St. / Van Buren St        80   \n",
              "4        1325                        P176 Buckeye Rd / 13th St        80   \n",
              "..        ...                                              ...       ...   \n",
              "80        661                          P109 Adams St / 1st Ave        80   \n",
              "81        663  P106: 1st St / Washington St (Sponsored by SRP)        80   \n",
              "82        665                          P145 5th St / Osborn Rd        80   \n",
              "83        666                        P117 Grand Ave / 10th Ave        80   \n",
              "84       1267                    P172 4th Street / Jackson St         80   \n",
              "\n",
              "           lon        lat                                            address  \n",
              "0  -112.077056  33.440115                   217 West Sherman Street, Phoenix  \n",
              "1  -112.070010  33.441165  East Grant Street, Central City, Phoenix, Arizona  \n",
              "2  -112.056131  33.468297               1815-1999 North 12th Street, Phoenix  \n",
              "3  -112.062022  33.451540                  301-365 North 9th Street, Phoenix  \n",
              "4  -112.055172  33.436672                   1245b East Buckeye Road, Phoenix  \n",
              "..         ...        ...                                                ...  \n",
              "80 -112.075363  33.449557                     114 West Adams Street, Phoenix  \n",
              "81 -112.072547  33.447888                   2 East Jefferson Street, Phoenix  \n",
              "82 -112.067322  33.487791                3400-3498 North 5th Street, Phoenix  \n",
              "83 -112.086363  33.454698      1000-1098 Phoenix-Wickenburg Highway, Phoenix  \n",
              "84 -112.068698  33.445023                      310 South 4th Street, Phoenix  \n",
              "\n",
              "[85 rows x 6 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-29de9755-0004-4a03-b7b4-d63388bef670\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>station_id</th>\n",
              "      <th>name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>lon</th>\n",
              "      <th>lat</th>\n",
              "      <th>address</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1269</td>\n",
              "      <td>P159 Sherman St / 3rd Ave.</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.077056</td>\n",
              "      <td>33.440115</td>\n",
              "      <td>217 West Sherman Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1271</td>\n",
              "      <td>P119 Grant St / 3rd St.</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.070010</td>\n",
              "      <td>33.441165</td>\n",
              "      <td>East Grant Street, Central City, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1272</td>\n",
              "      <td>P136 12th St / Palm Ln (Coronado Park)</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.056131</td>\n",
              "      <td>33.468297</td>\n",
              "      <td>1815-1999 North 12th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1273</td>\n",
              "      <td>P175 9th St. / Van Buren St</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.062022</td>\n",
              "      <td>33.451540</td>\n",
              "      <td>301-365 North 9th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1325</td>\n",
              "      <td>P176 Buckeye Rd / 13th St</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.055172</td>\n",
              "      <td>33.436672</td>\n",
              "      <td>1245b East Buckeye Road, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>661</td>\n",
              "      <td>P109 Adams St / 1st Ave</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.075363</td>\n",
              "      <td>33.449557</td>\n",
              "      <td>114 West Adams Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>663</td>\n",
              "      <td>P106: 1st St / Washington St (Sponsored by SRP)</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.072547</td>\n",
              "      <td>33.447888</td>\n",
              "      <td>2 East Jefferson Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>665</td>\n",
              "      <td>P145 5th St / Osborn Rd</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.067322</td>\n",
              "      <td>33.487791</td>\n",
              "      <td>3400-3498 North 5th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>666</td>\n",
              "      <td>P117 Grand Ave / 10th Ave</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.086363</td>\n",
              "      <td>33.454698</td>\n",
              "      <td>1000-1098 Phoenix-Wickenburg Highway, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>1267</td>\n",
              "      <td>P172 4th Street / Jackson St</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.068698</td>\n",
              "      <td>33.445023</td>\n",
              "      <td>310 South 4th Street, Phoenix</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>85 rows × 6 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-29de9755-0004-4a03-b7b4-d63388bef670')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-29de9755-0004-4a03-b7b4-d63388bef670 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-29de9755-0004-4a03-b7b4-d63388bef670');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_info=df_info.sort_values(\n",
        "   by=\"station_id\",\n",
        "   key=lambda x: np.argsort(index_natsorted(df_info[\"station_id\"])), ignore_index=True\n",
        ")"
      ],
      "metadata": {
        "id": "vqjB-xA9KmSn"
      },
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_info"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 606
        },
        "id": "gWvX4MN999t2",
        "outputId": "48cb8a0d-b065-427d-f5f8-88b2cfa276f9"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   station_id                                               name region_id  \\\n",
              "0         290                    P127 Central Ave / Roosevelt St        80   \n",
              "1         297  P131 Central Ave / Willetta St  (Sponsored by ...        80   \n",
              "2         299                      P113 11th St. / Washington St        80   \n",
              "3         305        P116 6th St. / Monroe St (Sponsored by SRP)        80   \n",
              "4         309                         P123 5th Ave / Fillmore St        80   \n",
              "..        ...                                                ...       ...   \n",
              "80       3264                        P168 5th St. and Washington        80   \n",
              "81       3525                         P196 2nd St. and Roosevelt        80   \n",
              "82       3582                T21 Forest Ave/ Lemon St. (Gammage)        81   \n",
              "83       3583                    T32 North Tempe Multigen Center        81   \n",
              "84       3590                T06 McClintock Dr / Rio Salado Pkwy        81   \n",
              "\n",
              "           lon        lat                                            address  \n",
              "0  -112.074011  33.459103            1000-1034 North Central Avenue, Phoenix  \n",
              "1  -112.073690  33.463849                 1401 North Central Avenue, Phoenix  \n",
              "2  -112.059274  33.448235          1010-1098 East Washington Street, Phoenix  \n",
              "3  -112.066496  33.450336  567-599 East Monroe Street, Arizona State Univ...  \n",
              "4  -112.080211  33.454812            604, North 5th Avenue, Phoenix, Arizona  \n",
              "..         ...        ...                                                ...  \n",
              "80 -112.067352  33.447862                    1-115 South 5th Street, Phoenix  \n",
              "81 -112.071128  33.458995                     1021 North 2nd Street, Phoenix  \n",
              "82 -111.936240  33.415824                    1201 South Forest Avenue, Tempe  \n",
              "83 -111.921794  33.447112              1555 North Bridalwreath Street, Tempe  \n",
              "84 -111.908476  33.429067           1807-1809 East Rio Salado Parkway, Tempe  \n",
              "\n",
              "[85 rows x 6 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-6d3f7ae0-6c86-405e-83d2-cdce4d681c9d\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>station_id</th>\n",
              "      <th>name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>lon</th>\n",
              "      <th>lat</th>\n",
              "      <th>address</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>290</td>\n",
              "      <td>P127 Central Ave / Roosevelt St</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.074011</td>\n",
              "      <td>33.459103</td>\n",
              "      <td>1000-1034 North Central Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>297</td>\n",
              "      <td>P131 Central Ave / Willetta St  (Sponsored by ...</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.073690</td>\n",
              "      <td>33.463849</td>\n",
              "      <td>1401 North Central Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>299</td>\n",
              "      <td>P113 11th St. / Washington St</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.059274</td>\n",
              "      <td>33.448235</td>\n",
              "      <td>1010-1098 East Washington Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>305</td>\n",
              "      <td>P116 6th St. / Monroe St (Sponsored by SRP)</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.066496</td>\n",
              "      <td>33.450336</td>\n",
              "      <td>567-599 East Monroe Street, Arizona State Univ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>309</td>\n",
              "      <td>P123 5th Ave / Fillmore St</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.080211</td>\n",
              "      <td>33.454812</td>\n",
              "      <td>604, North 5th Avenue, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>3264</td>\n",
              "      <td>P168 5th St. and Washington</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.067352</td>\n",
              "      <td>33.447862</td>\n",
              "      <td>1-115 South 5th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>3525</td>\n",
              "      <td>P196 2nd St. and Roosevelt</td>\n",
              "      <td>80</td>\n",
              "      <td>-112.071128</td>\n",
              "      <td>33.458995</td>\n",
              "      <td>1021 North 2nd Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>3582</td>\n",
              "      <td>T21 Forest Ave/ Lemon St. (Gammage)</td>\n",
              "      <td>81</td>\n",
              "      <td>-111.936240</td>\n",
              "      <td>33.415824</td>\n",
              "      <td>1201 South Forest Avenue, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>3583</td>\n",
              "      <td>T32 North Tempe Multigen Center</td>\n",
              "      <td>81</td>\n",
              "      <td>-111.921794</td>\n",
              "      <td>33.447112</td>\n",
              "      <td>1555 North Bridalwreath Street, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>3590</td>\n",
              "      <td>T06 McClintock Dr / Rio Salado Pkwy</td>\n",
              "      <td>81</td>\n",
              "      <td>-111.908476</td>\n",
              "      <td>33.429067</td>\n",
              "      <td>1807-1809 East Rio Salado Parkway, Tempe</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>85 rows × 6 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-6d3f7ae0-6c86-405e-83d2-cdce4d681c9d')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-6d3f7ae0-6c86-405e-83d2-cdce4d681c9d 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-6d3f7ae0-6c86-405e-83d2-cdce4d681c9d');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_info = df_info.drop(columns = ['lon', 'lat'])"
      ],
      "metadata": {
        "id": "MH31lqjFzkAQ"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_info = df_info.rename({'name': 'station_name'}, axis=1)\n",
        "\n",
        "df_info"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "id": "43QFpWdcb9aL",
        "outputId": "f93bd2c4-144f-4648-c537-2a0f8c83e388"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   station_id                                       station_name region_id  \\\n",
              "0         290                    P127 Central Ave / Roosevelt St        80   \n",
              "1         297  P131 Central Ave / Willetta St  (Sponsored by ...        80   \n",
              "2         299                      P113 11th St. / Washington St        80   \n",
              "3         305        P116 6th St. / Monroe St (Sponsored by SRP)        80   \n",
              "4         309                         P123 5th Ave / Fillmore St        80   \n",
              "..        ...                                                ...       ...   \n",
              "80       3264                        P168 5th St. and Washington        80   \n",
              "81       3525                         P196 2nd St. and Roosevelt        80   \n",
              "82       3582                T21 Forest Ave/ Lemon St. (Gammage)        81   \n",
              "83       3583                    T32 North Tempe Multigen Center        81   \n",
              "84       3590                T06 McClintock Dr / Rio Salado Pkwy        81   \n",
              "\n",
              "                                              address  \n",
              "0             1000-1034 North Central Avenue, Phoenix  \n",
              "1                  1401 North Central Avenue, Phoenix  \n",
              "2           1010-1098 East Washington Street, Phoenix  \n",
              "3   567-599 East Monroe Street, Arizona State Univ...  \n",
              "4             604, North 5th Avenue, Phoenix, Arizona  \n",
              "..                                                ...  \n",
              "80                    1-115 South 5th Street, Phoenix  \n",
              "81                     1021 North 2nd Street, Phoenix  \n",
              "82                    1201 South Forest Avenue, Tempe  \n",
              "83              1555 North Bridalwreath Street, Tempe  \n",
              "84           1807-1809 East Rio Salado Parkway, Tempe  \n",
              "\n",
              "[85 rows x 4 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8e3bda65-bb0a-4f1a-ada5-e7153a702664\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>station_id</th>\n",
              "      <th>station_name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>address</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>290</td>\n",
              "      <td>P127 Central Ave / Roosevelt St</td>\n",
              "      <td>80</td>\n",
              "      <td>1000-1034 North Central Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>297</td>\n",
              "      <td>P131 Central Ave / Willetta St  (Sponsored by ...</td>\n",
              "      <td>80</td>\n",
              "      <td>1401 North Central Avenue, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>299</td>\n",
              "      <td>P113 11th St. / Washington St</td>\n",
              "      <td>80</td>\n",
              "      <td>1010-1098 East Washington Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>305</td>\n",
              "      <td>P116 6th St. / Monroe St (Sponsored by SRP)</td>\n",
              "      <td>80</td>\n",
              "      <td>567-599 East Monroe Street, Arizona State Univ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>309</td>\n",
              "      <td>P123 5th Ave / Fillmore St</td>\n",
              "      <td>80</td>\n",
              "      <td>604, North 5th Avenue, Phoenix, Arizona</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>3264</td>\n",
              "      <td>P168 5th St. and Washington</td>\n",
              "      <td>80</td>\n",
              "      <td>1-115 South 5th Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>3525</td>\n",
              "      <td>P196 2nd St. and Roosevelt</td>\n",
              "      <td>80</td>\n",
              "      <td>1021 North 2nd Street, Phoenix</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>3582</td>\n",
              "      <td>T21 Forest Ave/ Lemon St. (Gammage)</td>\n",
              "      <td>81</td>\n",
              "      <td>1201 South Forest Avenue, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>3583</td>\n",
              "      <td>T32 North Tempe Multigen Center</td>\n",
              "      <td>81</td>\n",
              "      <td>1555 North Bridalwreath Street, Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>3590</td>\n",
              "      <td>T06 McClintock Dr / Rio Salado Pkwy</td>\n",
              "      <td>81</td>\n",
              "      <td>1807-1809 East Rio Salado Parkway, Tempe</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>85 rows × 4 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8e3bda65-bb0a-4f1a-ada5-e7153a702664')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-8e3bda65-bb0a-4f1a-ada5-e7153a702664 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-8e3bda65-bb0a-4f1a-ada5-e7153a702664');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "###Dataset Sepeda"
      ],
      "metadata": {
        "id": "cf2yl2oKdQws"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_bike['bike_id'] = df_bike['bike_id'].str.replace(r'\\D', '')\n",
        "df_bike"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 763
        },
        "id": "DovfYZLTdWJv",
        "outputId": "0411c40f-8b7e-4a84-c025-d20529156fb1"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: FutureWarning: The default value of regex will change from True to False in a future version.\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   bike_id                      name  region_id  is_reserved  is_disabled  \\\n",
              "0    12749                      T723  region_80            0            0   \n",
              "1    12881                      T782  region_81            0            0   \n",
              "2     1356                  GRID 182  region_80            0            0   \n",
              "3    13053                      T986  region_81            0            0   \n",
              "4    10563                 GRID 2007  region_80            0            0   \n",
              "5    17318                 GRID 2025  region_81            0            0   \n",
              "6    12872                      T833  region_80            0            0   \n",
              "7     5032                    M 2264  region_81            0            0   \n",
              "8    12766                      T756  region_80            0            0   \n",
              "9    13103                      T933  region_81            0            0   \n",
              "10     799                 GRID 086   region_81            0            0   \n",
              "11   13054                      T987  region_81            0            0   \n",
              "12   13095                      T961  region_80            0            0   \n",
              "13   12786                      T731  region_80            0            0   \n",
              "14   12869                      T839  region_81            0            0   \n",
              "15   12763                      T755  region_80            0            0   \n",
              "16   13069                      T996        NaN            0            0   \n",
              "17    5046  GRID 402 FIRMWARE RESCUE  region_80            0            0   \n",
              "18   12866                      T837  region_81            0            0   \n",
              "19   12845                      T819  region_81            0            0   \n",
              "20   13042                      T939  region_80            0            0   \n",
              "\n",
              "           lon       lat  \n",
              "0          NaN       NaN  \n",
              "1          NaN       NaN  \n",
              "2          NaN       NaN  \n",
              "3          NaN       NaN  \n",
              "4          NaN       NaN  \n",
              "5          NaN       NaN  \n",
              "6          NaN       NaN  \n",
              "7          NaN       NaN  \n",
              "8          NaN       NaN  \n",
              "9          NaN       NaN  \n",
              "10         NaN       NaN  \n",
              "11         NaN       NaN  \n",
              "12         NaN       NaN  \n",
              "13         NaN       NaN  \n",
              "14         NaN       NaN  \n",
              "15         NaN       NaN  \n",
              "16 -111.950743  33.38436  \n",
              "17         NaN       NaN  \n",
              "18         NaN       NaN  \n",
              "19         NaN       NaN  \n",
              "20         NaN       NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-a9e87e0d-a10c-478e-931b-eaa34141321e\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>bike_id</th>\n",
              "      <th>name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>is_reserved</th>\n",
              "      <th>is_disabled</th>\n",
              "      <th>lon</th>\n",
              "      <th>lat</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>12749</td>\n",
              "      <td>T723</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>12881</td>\n",
              "      <td>T782</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1356</td>\n",
              "      <td>GRID 182</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>13053</td>\n",
              "      <td>T986</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>10563</td>\n",
              "      <td>GRID 2007</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>17318</td>\n",
              "      <td>GRID 2025</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>12872</td>\n",
              "      <td>T833</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>5032</td>\n",
              "      <td>M 2264</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>12766</td>\n",
              "      <td>T756</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>13103</td>\n",
              "      <td>T933</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>799</td>\n",
              "      <td>GRID 086</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>13054</td>\n",
              "      <td>T987</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>13095</td>\n",
              "      <td>T961</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>12786</td>\n",
              "      <td>T731</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>12869</td>\n",
              "      <td>T839</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>12763</td>\n",
              "      <td>T755</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>13069</td>\n",
              "      <td>T996</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>-111.950743</td>\n",
              "      <td>33.38436</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>5046</td>\n",
              "      <td>GRID 402 FIRMWARE RESCUE</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>12866</td>\n",
              "      <td>T837</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>12845</td>\n",
              "      <td>T819</td>\n",
              "      <td>region_81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>13042</td>\n",
              "      <td>T939</td>\n",
              "      <td>region_80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a9e87e0d-a10c-478e-931b-eaa34141321e')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-a9e87e0d-a10c-478e-931b-eaa34141321e 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-a9e87e0d-a10c-478e-931b-eaa34141321e');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_bike['region_id'] = df_bike['region_id'].str.replace(r'\\D', '')\n",
        "df_bike"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 763
        },
        "id": "kjWdCGIOwZM7",
        "outputId": "e5ab22cd-9d06-4f54-a4cd-5e8267488ab6"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: FutureWarning: The default value of regex will change from True to False in a future version.\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   bike_id                      name region_id  is_reserved  is_disabled  \\\n",
              "0    12749                      T723        80            0            0   \n",
              "1    12881                      T782        81            0            0   \n",
              "2     1356                  GRID 182        80            0            0   \n",
              "3    13053                      T986        81            0            0   \n",
              "4    10563                 GRID 2007        80            0            0   \n",
              "5    17318                 GRID 2025        81            0            0   \n",
              "6    12872                      T833        80            0            0   \n",
              "7     5032                    M 2264        81            0            0   \n",
              "8    12766                      T756        80            0            0   \n",
              "9    13103                      T933        81            0            0   \n",
              "10     799                 GRID 086         81            0            0   \n",
              "11   13054                      T987        81            0            0   \n",
              "12   13095                      T961        80            0            0   \n",
              "13   12786                      T731        80            0            0   \n",
              "14   12869                      T839        81            0            0   \n",
              "15   12763                      T755        80            0            0   \n",
              "16   13069                      T996       NaN            0            0   \n",
              "17    5046  GRID 402 FIRMWARE RESCUE        80            0            0   \n",
              "18   12866                      T837        81            0            0   \n",
              "19   12845                      T819        81            0            0   \n",
              "20   13042                      T939        80            0            0   \n",
              "\n",
              "           lon       lat  \n",
              "0          NaN       NaN  \n",
              "1          NaN       NaN  \n",
              "2          NaN       NaN  \n",
              "3          NaN       NaN  \n",
              "4          NaN       NaN  \n",
              "5          NaN       NaN  \n",
              "6          NaN       NaN  \n",
              "7          NaN       NaN  \n",
              "8          NaN       NaN  \n",
              "9          NaN       NaN  \n",
              "10         NaN       NaN  \n",
              "11         NaN       NaN  \n",
              "12         NaN       NaN  \n",
              "13         NaN       NaN  \n",
              "14         NaN       NaN  \n",
              "15         NaN       NaN  \n",
              "16 -111.950743  33.38436  \n",
              "17         NaN       NaN  \n",
              "18         NaN       NaN  \n",
              "19         NaN       NaN  \n",
              "20         NaN       NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-2cf02738-cbe7-49d0-affc-82be6945dbdd\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>bike_id</th>\n",
              "      <th>name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>is_reserved</th>\n",
              "      <th>is_disabled</th>\n",
              "      <th>lon</th>\n",
              "      <th>lat</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>12749</td>\n",
              "      <td>T723</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>12881</td>\n",
              "      <td>T782</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1356</td>\n",
              "      <td>GRID 182</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>13053</td>\n",
              "      <td>T986</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>10563</td>\n",
              "      <td>GRID 2007</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>17318</td>\n",
              "      <td>GRID 2025</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>12872</td>\n",
              "      <td>T833</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>5032</td>\n",
              "      <td>M 2264</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>12766</td>\n",
              "      <td>T756</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>13103</td>\n",
              "      <td>T933</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>799</td>\n",
              "      <td>GRID 086</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>13054</td>\n",
              "      <td>T987</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>13095</td>\n",
              "      <td>T961</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>12786</td>\n",
              "      <td>T731</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>12869</td>\n",
              "      <td>T839</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>12763</td>\n",
              "      <td>T755</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>13069</td>\n",
              "      <td>T996</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>-111.950743</td>\n",
              "      <td>33.38436</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>5046</td>\n",
              "      <td>GRID 402 FIRMWARE RESCUE</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>12866</td>\n",
              "      <td>T837</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>12845</td>\n",
              "      <td>T819</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>13042</td>\n",
              "      <td>T939</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2cf02738-cbe7-49d0-affc-82be6945dbdd')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-2cf02738-cbe7-49d0-affc-82be6945dbdd 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-2cf02738-cbe7-49d0-affc-82be6945dbdd');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_bike = df_bike.rename({'name':'bike_name', 'region_id':'region_id'}, axis=1)  # new method\n",
        "\n",
        "df_bike"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 708
        },
        "id": "afPW5yuXd8ov",
        "outputId": "394f74e9-aef1-4c7d-9906-19f0cc749734"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   bike_id                 bike_name region_id  is_reserved  is_disabled  \\\n",
              "0    12749                      T723        80            0            0   \n",
              "1    12881                      T782        81            0            0   \n",
              "2     1356                  GRID 182        80            0            0   \n",
              "3    13053                      T986        81            0            0   \n",
              "4    10563                 GRID 2007        80            0            0   \n",
              "5    17318                 GRID 2025        81            0            0   \n",
              "6    12872                      T833        80            0            0   \n",
              "7     5032                    M 2264        81            0            0   \n",
              "8    12766                      T756        80            0            0   \n",
              "9    13103                      T933        81            0            0   \n",
              "10     799                 GRID 086         81            0            0   \n",
              "11   13054                      T987        81            0            0   \n",
              "12   13095                      T961        80            0            0   \n",
              "13   12786                      T731        80            0            0   \n",
              "14   12869                      T839        81            0            0   \n",
              "15   12763                      T755        80            0            0   \n",
              "16   13069                      T996       NaN            0            0   \n",
              "17    5046  GRID 402 FIRMWARE RESCUE        80            0            0   \n",
              "18   12866                      T837        81            0            0   \n",
              "19   12845                      T819        81            0            0   \n",
              "20   13042                      T939        80            0            0   \n",
              "\n",
              "           lon       lat  \n",
              "0          NaN       NaN  \n",
              "1          NaN       NaN  \n",
              "2          NaN       NaN  \n",
              "3          NaN       NaN  \n",
              "4          NaN       NaN  \n",
              "5          NaN       NaN  \n",
              "6          NaN       NaN  \n",
              "7          NaN       NaN  \n",
              "8          NaN       NaN  \n",
              "9          NaN       NaN  \n",
              "10         NaN       NaN  \n",
              "11         NaN       NaN  \n",
              "12         NaN       NaN  \n",
              "13         NaN       NaN  \n",
              "14         NaN       NaN  \n",
              "15         NaN       NaN  \n",
              "16 -111.950743  33.38436  \n",
              "17         NaN       NaN  \n",
              "18         NaN       NaN  \n",
              "19         NaN       NaN  \n",
              "20         NaN       NaN  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-65d6b4ff-2f32-43e8-8680-f7862c476334\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>bike_id</th>\n",
              "      <th>bike_name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>is_reserved</th>\n",
              "      <th>is_disabled</th>\n",
              "      <th>lon</th>\n",
              "      <th>lat</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>12749</td>\n",
              "      <td>T723</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>12881</td>\n",
              "      <td>T782</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1356</td>\n",
              "      <td>GRID 182</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>13053</td>\n",
              "      <td>T986</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>10563</td>\n",
              "      <td>GRID 2007</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>17318</td>\n",
              "      <td>GRID 2025</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>12872</td>\n",
              "      <td>T833</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>5032</td>\n",
              "      <td>M 2264</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>12766</td>\n",
              "      <td>T756</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>13103</td>\n",
              "      <td>T933</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>799</td>\n",
              "      <td>GRID 086</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>13054</td>\n",
              "      <td>T987</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>13095</td>\n",
              "      <td>T961</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>12786</td>\n",
              "      <td>T731</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>12869</td>\n",
              "      <td>T839</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>12763</td>\n",
              "      <td>T755</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>13069</td>\n",
              "      <td>T996</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>-111.950743</td>\n",
              "      <td>33.38436</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>5046</td>\n",
              "      <td>GRID 402 FIRMWARE RESCUE</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>12866</td>\n",
              "      <td>T837</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>12845</td>\n",
              "      <td>T819</td>\n",
              "      <td>81</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>13042</td>\n",
              "      <td>T939</td>\n",
              "      <td>80</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-65d6b4ff-2f32-43e8-8680-f7862c476334')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-65d6b4ff-2f32-43e8-8680-f7862c476334 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-65d6b4ff-2f32-43e8-8680-f7862c476334');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_bike = df_bike.drop(columns = ['is_reserved', 'is_disabled'])"
      ],
      "metadata": {
        "id": "2lGDPY6fkrTs"
      },
      "execution_count": 26,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_bike"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 708
        },
        "id": "k1YZ8yI4mKr2",
        "outputId": "e425850b-878a-4849-f94a-69afa145a9fa"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   bike_id                 bike_name region_id         lon       lat\n",
              "0    12749                      T723        80         NaN       NaN\n",
              "1    12881                      T782        81         NaN       NaN\n",
              "2     1356                  GRID 182        80         NaN       NaN\n",
              "3    13053                      T986        81         NaN       NaN\n",
              "4    10563                 GRID 2007        80         NaN       NaN\n",
              "5    17318                 GRID 2025        81         NaN       NaN\n",
              "6    12872                      T833        80         NaN       NaN\n",
              "7     5032                    M 2264        81         NaN       NaN\n",
              "8    12766                      T756        80         NaN       NaN\n",
              "9    13103                      T933        81         NaN       NaN\n",
              "10     799                 GRID 086         81         NaN       NaN\n",
              "11   13054                      T987        81         NaN       NaN\n",
              "12   13095                      T961        80         NaN       NaN\n",
              "13   12786                      T731        80         NaN       NaN\n",
              "14   12869                      T839        81         NaN       NaN\n",
              "15   12763                      T755        80         NaN       NaN\n",
              "16   13069                      T996       NaN -111.950743  33.38436\n",
              "17    5046  GRID 402 FIRMWARE RESCUE        80         NaN       NaN\n",
              "18   12866                      T837        81         NaN       NaN\n",
              "19   12845                      T819        81         NaN       NaN\n",
              "20   13042                      T939        80         NaN       NaN"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-d170f3fa-d00d-41bc-aeb5-772cb395de8d\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>bike_id</th>\n",
              "      <th>bike_name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>lon</th>\n",
              "      <th>lat</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>12749</td>\n",
              "      <td>T723</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>12881</td>\n",
              "      <td>T782</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1356</td>\n",
              "      <td>GRID 182</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>13053</td>\n",
              "      <td>T986</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>10563</td>\n",
              "      <td>GRID 2007</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>17318</td>\n",
              "      <td>GRID 2025</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>12872</td>\n",
              "      <td>T833</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>5032</td>\n",
              "      <td>M 2264</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>12766</td>\n",
              "      <td>T756</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>13103</td>\n",
              "      <td>T933</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>799</td>\n",
              "      <td>GRID 086</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>13054</td>\n",
              "      <td>T987</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>13095</td>\n",
              "      <td>T961</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>12786</td>\n",
              "      <td>T731</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>12869</td>\n",
              "      <td>T839</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>12763</td>\n",
              "      <td>T755</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>13069</td>\n",
              "      <td>T996</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-111.950743</td>\n",
              "      <td>33.38436</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>5046</td>\n",
              "      <td>GRID 402 FIRMWARE RESCUE</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>12866</td>\n",
              "      <td>T837</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>12845</td>\n",
              "      <td>T819</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>13042</td>\n",
              "      <td>T939</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d170f3fa-d00d-41bc-aeb5-772cb395de8d')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-d170f3fa-d00d-41bc-aeb5-772cb395de8d 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-d170f3fa-d00d-41bc-aeb5-772cb395de8d');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_bike = df_bike.sort_values(\n",
        "   by=\"bike_id\",\n",
        "   key=lambda x: np.argsort(index_natsorted(df_bike[\"bike_id\"])), ignore_index=True\n",
        ")"
      ],
      "metadata": {
        "id": "4h9Jw-2RtcrV"
      },
      "execution_count": 28,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_bike"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 708
        },
        "id": "vLcrvJeV92X2",
        "outputId": "9f846fed-be7c-411e-d46e-c1510e3a6d7b"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   bike_id                 bike_name region_id         lon       lat\n",
              "0      799                 GRID 086         81         NaN       NaN\n",
              "1     1356                  GRID 182        80         NaN       NaN\n",
              "2     5032                    M 2264        81         NaN       NaN\n",
              "3     5046  GRID 402 FIRMWARE RESCUE        80         NaN       NaN\n",
              "4    10563                 GRID 2007        80         NaN       NaN\n",
              "5    12749                      T723        80         NaN       NaN\n",
              "6    12763                      T755        80         NaN       NaN\n",
              "7    12766                      T756        80         NaN       NaN\n",
              "8    12786                      T731        80         NaN       NaN\n",
              "9    12845                      T819        81         NaN       NaN\n",
              "10   12866                      T837        81         NaN       NaN\n",
              "11   12869                      T839        81         NaN       NaN\n",
              "12   12872                      T833        80         NaN       NaN\n",
              "13   12881                      T782        81         NaN       NaN\n",
              "14   13042                      T939        80         NaN       NaN\n",
              "15   13053                      T986        81         NaN       NaN\n",
              "16   13054                      T987        81         NaN       NaN\n",
              "17   13069                      T996       NaN -111.950743  33.38436\n",
              "18   13095                      T961        80         NaN       NaN\n",
              "19   13103                      T933        81         NaN       NaN\n",
              "20   17318                 GRID 2025        81         NaN       NaN"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-3731b799-aa9c-4cae-a5e8-32359f8a974f\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>bike_id</th>\n",
              "      <th>bike_name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>lon</th>\n",
              "      <th>lat</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>799</td>\n",
              "      <td>GRID 086</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1356</td>\n",
              "      <td>GRID 182</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>5032</td>\n",
              "      <td>M 2264</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>5046</td>\n",
              "      <td>GRID 402 FIRMWARE RESCUE</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>10563</td>\n",
              "      <td>GRID 2007</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>12749</td>\n",
              "      <td>T723</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>12763</td>\n",
              "      <td>T755</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>12766</td>\n",
              "      <td>T756</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>12786</td>\n",
              "      <td>T731</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>12845</td>\n",
              "      <td>T819</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>12866</td>\n",
              "      <td>T837</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>12869</td>\n",
              "      <td>T839</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>12872</td>\n",
              "      <td>T833</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>12881</td>\n",
              "      <td>T782</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>13042</td>\n",
              "      <td>T939</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>13053</td>\n",
              "      <td>T986</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>13054</td>\n",
              "      <td>T987</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>13069</td>\n",
              "      <td>T996</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-111.950743</td>\n",
              "      <td>33.38436</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>13095</td>\n",
              "      <td>T961</td>\n",
              "      <td>80</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>13103</td>\n",
              "      <td>T933</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>17318</td>\n",
              "      <td>GRID 2025</td>\n",
              "      <td>81</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-3731b799-aa9c-4cae-a5e8-32359f8a974f')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-3731b799-aa9c-4cae-a5e8-32359f8a974f 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-3731b799-aa9c-4cae-a5e8-32359f8a974f');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "###Dataset Negara"
      ],
      "metadata": {
        "id": "WIh_gObhvn48"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_region['region_id'] = df_bike['region_id'].str.replace(r'\\D', '')\n",
        "df_region"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 167
        },
        "id": "c5YP0tHTvnO8",
        "outputId": "332b2fbf-62ec-44a5-f6ba-7cb584c7ae6e"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: FutureWarning: The default value of regex will change from True to False in a future version.\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  region_id     name\n",
              "0        81    Tempe\n",
              "1        80  Phoenix"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b62f6d12-e030-4491-9976-3344fd69179e\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>region_id</th>\n",
              "      <th>name</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>81</td>\n",
              "      <td>Tempe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>80</td>\n",
              "      <td>Phoenix</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b62f6d12-e030-4491-9976-3344fd69179e')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-b62f6d12-e030-4491-9976-3344fd69179e 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-b62f6d12-e030-4491-9976-3344fd69179e');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "###Dataset Status Sepeda (Baru)"
      ],
      "metadata": {
        "id": "1MwjDkt3sxXy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df_status"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "id": "F0k7vSwutZtv",
        "outputId": "5405fc30-d2f6-4dee-d7eb-5ce4cda7de6a"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   station_id  num_bikes_available  num_bikes_disabled  num_docks_available  \\\n",
              "0     hub_290                    9                   0                   15   \n",
              "1     hub_297                    6                   0                   11   \n",
              "2     hub_299                    8                   0                    0   \n",
              "3     hub_305                    5                   0                    0   \n",
              "4     hub_309                    6                   0                    3   \n",
              "..        ...                  ...                 ...                  ...   \n",
              "90   hub_5259                    0                   0                    4   \n",
              "91   hub_5264                    0                   0                    6   \n",
              "92   hub_5266                    0                   0                    6   \n",
              "93   hub_5418                    8                   0                    1   \n",
              "94   hub_5500                    3                   0                    7   \n",
              "\n",
              "    is_installed  is_renting  is_returning  last_reported  \n",
              "0              1           1             1     1588192647  \n",
              "1              1           1             1     1588192647  \n",
              "2              1           1             1     1588192647  \n",
              "3              1           1             1     1588192647  \n",
              "4              1           1             1     1588192647  \n",
              "..           ...         ...           ...            ...  \n",
              "90             1           1             1     1588192647  \n",
              "91             1           1             1     1588192647  \n",
              "92             1           1             1     1588192647  \n",
              "93             1           1             1     1588192647  \n",
              "94             1           1             1     1588192647  \n",
              "\n",
              "[95 rows x 8 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-040e897e-b970-48e4-9cd7-dfe2d00f9c47\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>station_id</th>\n",
              "      <th>num_bikes_available</th>\n",
              "      <th>num_bikes_disabled</th>\n",
              "      <th>num_docks_available</th>\n",
              "      <th>is_installed</th>\n",
              "      <th>is_renting</th>\n",
              "      <th>is_returning</th>\n",
              "      <th>last_reported</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>hub_290</td>\n",
              "      <td>9</td>\n",
              "      <td>0</td>\n",
              "      <td>15</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>hub_297</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>11</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>hub_299</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>hub_305</td>\n",
              "      <td>5</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>hub_309</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>hub_5259</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>hub_5264</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>hub_5266</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>hub_5418</td>\n",
              "      <td>8</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>94</th>\n",
              "      <td>hub_5500</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1588192647</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>95 rows × 8 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-040e897e-b970-48e4-9cd7-dfe2d00f9c47')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-040e897e-b970-48e4-9cd7-dfe2d00f9c47 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-040e897e-b970-48e4-9cd7-dfe2d00f9c47');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_status = df_status.drop(columns=['num_bikes_disabled', 'num_docks_available','is_installed', 'is_renting', 'is_returning', 'last_reported'])\n",
        "\n",
        "df_status"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "NlpQvohwsw5o",
        "outputId": "93e48215-2c60-4103-8858-ed2302163953"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   station_id  num_bikes_available\n",
              "0     hub_290                    9\n",
              "1     hub_297                    6\n",
              "2     hub_299                    8\n",
              "3     hub_305                    5\n",
              "4     hub_309                    6\n",
              "..        ...                  ...\n",
              "90   hub_5259                    0\n",
              "91   hub_5264                    0\n",
              "92   hub_5266                    0\n",
              "93   hub_5418                    8\n",
              "94   hub_5500                    3\n",
              "\n",
              "[95 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-52910ae2-adeb-4456-84e9-0239ecb20862\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>station_id</th>\n",
              "      <th>num_bikes_available</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>hub_290</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>hub_297</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>hub_299</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>hub_305</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>hub_309</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>hub_5259</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>hub_5264</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>hub_5266</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>hub_5418</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>94</th>\n",
              "      <td>hub_5500</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>95 rows × 2 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-52910ae2-adeb-4456-84e9-0239ecb20862')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-52910ae2-adeb-4456-84e9-0239ecb20862 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-52910ae2-adeb-4456-84e9-0239ecb20862');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_status['station_id'] = df_status['station_id'].str.replace(r'\\D', '')\n",
        "df_status"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 478
        },
        "id": "JVk3ONF44eHy",
        "outputId": "077e8470-956f-42af-99e9-8a81a39ad3eb"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: FutureWarning: The default value of regex will change from True to False in a future version.\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   station_id  num_bikes_available\n",
              "0         290                    9\n",
              "1         297                    6\n",
              "2         299                    8\n",
              "3         305                    5\n",
              "4         309                    6\n",
              "..        ...                  ...\n",
              "90       5259                    0\n",
              "91       5264                    0\n",
              "92       5266                    0\n",
              "93       5418                    8\n",
              "94       5500                    3\n",
              "\n",
              "[95 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-a0a35f13-9860-4c01-baeb-61ca99645e4e\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>station_id</th>\n",
              "      <th>num_bikes_available</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>290</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>297</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>299</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>305</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>309</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>90</th>\n",
              "      <td>5259</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>91</th>\n",
              "      <td>5264</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>92</th>\n",
              "      <td>5266</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>5418</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>94</th>\n",
              "      <td>5500</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>95 rows × 2 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a0a35f13-9860-4c01-baeb-61ca99645e4e')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-a0a35f13-9860-4c01-baeb-61ca99645e4e 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-a0a35f13-9860-4c01-baeb-61ca99645e4e');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_info = df_info.join(df_status.set_index('station_id'), on='station_id')\n",
        "\n",
        "df_info"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 606
        },
        "id": "mSh-YaM1381M",
        "outputId": "fa55ad50-26aa-4166-b12a-dd9786e2510c"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   station_id                                       station_name region_id  \\\n",
              "0         290                    P127 Central Ave / Roosevelt St        80   \n",
              "1         297  P131 Central Ave / Willetta St  (Sponsored by ...        80   \n",
              "2         299                      P113 11th St. / Washington St        80   \n",
              "3         305        P116 6th St. / Monroe St (Sponsored by SRP)        80   \n",
              "4         309                         P123 5th Ave / Fillmore St        80   \n",
              "..        ...                                                ...       ...   \n",
              "80       3264                        P168 5th St. and Washington        80   \n",
              "81       3525                         P196 2nd St. and Roosevelt        80   \n",
              "82       3582                T21 Forest Ave/ Lemon St. (Gammage)        81   \n",
              "83       3583                    T32 North Tempe Multigen Center        81   \n",
              "84       3590                T06 McClintock Dr / Rio Salado Pkwy        81   \n",
              "\n",
              "                                              address  num_bikes_available  \n",
              "0             1000-1034 North Central Avenue, Phoenix                    9  \n",
              "1                  1401 North Central Avenue, Phoenix                    6  \n",
              "2           1010-1098 East Washington Street, Phoenix                    8  \n",
              "3   567-599 East Monroe Street, Arizona State Univ...                    5  \n",
              "4             604, North 5th Avenue, Phoenix, Arizona                    6  \n",
              "..                                                ...                  ...  \n",
              "80                    1-115 South 5th Street, Phoenix                    4  \n",
              "81                     1021 North 2nd Street, Phoenix                    0  \n",
              "82                    1201 South Forest Avenue, Tempe                    4  \n",
              "83              1555 North Bridalwreath Street, Tempe                    5  \n",
              "84           1807-1809 East Rio Salado Parkway, Tempe                    4  \n",
              "\n",
              "[85 rows x 5 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-520ddb30-2159-4f2e-8386-083308b5be60\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>station_id</th>\n",
              "      <th>station_name</th>\n",
              "      <th>region_id</th>\n",
              "      <th>address</th>\n",
              "      <th>num_bikes_available</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>290</td>\n",
              "      <td>P127 Central Ave / Roosevelt St</td>\n",
              "      <td>80</td>\n",
              "      <td>1000-1034 North Central Avenue, Phoenix</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>297</td>\n",
              "      <td>P131 Central Ave / Willetta St  (Sponsored by ...</td>\n",
              "      <td>80</td>\n",
              "      <td>1401 North Central Avenue, Phoenix</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>299</td>\n",
              "      <td>P113 11th St. / Washington St</td>\n",
              "      <td>80</td>\n",
              "      <td>1010-1098 East Washington Street, Phoenix</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>305</td>\n",
              "      <td>P116 6th St. / Monroe St (Sponsored by SRP)</td>\n",
              "      <td>80</td>\n",
              "      <td>567-599 East Monroe Street, Arizona State Univ...</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>309</td>\n",
              "      <td>P123 5th Ave / Fillmore St</td>\n",
              "      <td>80</td>\n",
              "      <td>604, North 5th Avenue, Phoenix, Arizona</td>\n",
              "      <td>6</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>80</th>\n",
              "      <td>3264</td>\n",
              "      <td>P168 5th St. and Washington</td>\n",
              "      <td>80</td>\n",
              "      <td>1-115 South 5th Street, Phoenix</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>3525</td>\n",
              "      <td>P196 2nd St. and Roosevelt</td>\n",
              "      <td>80</td>\n",
              "      <td>1021 North 2nd Street, Phoenix</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>3582</td>\n",
              "      <td>T21 Forest Ave/ Lemon St. (Gammage)</td>\n",
              "      <td>81</td>\n",
              "      <td>1201 South Forest Avenue, Tempe</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>3583</td>\n",
              "      <td>T32 North Tempe Multigen Center</td>\n",
              "      <td>81</td>\n",
              "      <td>1555 North Bridalwreath Street, Tempe</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>3590</td>\n",
              "      <td>T06 McClintock Dr / Rio Salado Pkwy</td>\n",
              "      <td>81</td>\n",
              "      <td>1807-1809 East Rio Salado Parkway, Tempe</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>85 rows × 5 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-520ddb30-2159-4f2e-8386-083308b5be60')\"\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",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\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-520ddb30-2159-4f2e-8386-083308b5be60 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-520ddb30-2159-4f2e-8386-083308b5be60');\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",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Load "
      ],
      "metadata": {
        "id": "mmSQxLAatjkZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "log(\"Load phase Started\")"
      ],
      "metadata": {
        "id": "LHjGR59rwWwC"
      },
      "execution_count": 35,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def load(targetfile,data_to_load):\n",
        "    data_to_load.to_csv(targetfile)"
      ],
      "metadata": {
        "id": "NkYEwke8tss4"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "load('bike_info.csv', df_bike)"
      ],
      "metadata": {
        "id": "nJTRxuurr-9E"
      },
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "load('station_info.csv', df_info)"
      ],
      "metadata": {
        "id": "jAMbYW8cs3MH"
      },
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "load('system_regions.csv', df_region)"
      ],
      "metadata": {
        "id": "MwhL-6CWZ5g8"
      },
      "execution_count": 39,
      "outputs": []
    }
  ]
}