LA_County_DCFS_CAMS_and_HERE.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "LA County DCFS CAMS and HERE.ipynb",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Package setup"
      ],
      "metadata": {
        "id": "sXyeqPdQd6_f"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 39,
      "metadata": {
        "id": "PE7-rG4ZdfdK"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import geopandas as gpd\n",
        "import numpy as np\n",
        "import requests\n",
        "import json\n",
        "from requests.utils import requote_uri\n",
        "import asyncio\n",
        "from unsync import unsync"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Define function to lookup each address via CAMS"
      ],
      "metadata": {
        "id": "ZCxNp-IWd_pv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def search_address_cams(address):\n",
        "  carto_url = 'https://us-central1-cartodb-gcp-solutions-eng-team.cloudfunctions.net/getAddress'\n",
        "  payload = {'address': address}\n",
        "  headers = {'content-type':'application/json'}\n",
        "  res = requests.post(carto_url, data=json.dumps(payload), headers=headers)\n",
        "  data = json.loads(res.text)['rows'][0]\n",
        "  return (address, data['address'], data['lat'], data['lon'], data['dist'])"
      ],
      "metadata": {
        "id": "q1YTngv-dhJO"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Define function to lookup each address via CARTO (HERE)"
      ],
      "metadata": {
        "id": "Ryv31E4zAPtC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def search_address_carto(address, city, state='CA', country='United States'):\n",
        "  api_key = '551d05a437c7f6f81640f7fc87d9a2c62afc9f08'\n",
        "  query = f\"select ST_AsText(cdb_geocode_street_point) as geom from cdb_geocode_street_point('{address}', '{city}', '{state}', '{country}')\"\n",
        "  query_encode = requote_uri(query)\n",
        "  full_url = f\"https://tnederlof.carto.com/api/v2/sql?q={query_encode}&api_key={api_key}\"\n",
        "  result = json.loads(requests.get(full_url).text)['rows'][0]['geom']\n",
        "  geo_result = gpd.GeoSeries.from_wkt([result])\n",
        "  return (address, geo_result.y[0], geo_result.x[0])\n",
        "\n",
        " "
      ],
      "metadata": {
        "id": "FfBnYTdRATmv"
      },
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Lookup test 3 addresses"
      ],
      "metadata": {
        "id": "4oDPjg11eEE2"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Using CAMS search\n",
        "Note that a low distance is better in this case (better text match)"
      ],
      "metadata": {
        "id": "8C5rH1NVeHI4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "test_addresses = ['10020 Loftus Dr Apt G, El Monte, CA, 91731', '10047 1/4 Samoa Ave, Tujunga, CA, 91042', '1008 S Kern Ave, Los Angeles, CA, 90022\t']\n",
        "df_result_cams = pd.DataFrame([search_address_cams(address) for address in test_addresses],\n",
        "                         columns=['input_address', 'found_address', 'lat', 'lon', 'dist'])\n",
        "df_result_cams.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "8Sv_CAgLdiM2",
        "outputId": "6aa376bf-45ac-43e5-87ef-dbb4cd0b41ec"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-b5302a1b-f2fb-48fc-bca2-a692b2f09930\">\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>input_address</th>\n",
              "      <th>found_address</th>\n",
              "      <th>lat</th>\n",
              "      <th>lon</th>\n",
              "      <th>dist</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>10020 Loftus Dr Apt G, El Monte, CA, 91731</td>\n",
              "      <td>10020 Loftus Drive, El Monte, CA 91731</td>\n",
              "      <td>34.074073</td>\n",
              "      <td>-118.052863</td>\n",
              "      <td>0.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>10047 1/4 Samoa Ave, Tujunga, CA, 91042</td>\n",
              "      <td>10047 Samoa Avenue, Tujunga, CA 91042</td>\n",
              "      <td>34.251551</td>\n",
              "      <td>-118.287433</td>\n",
              "      <td>0.200000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1008 S Kern Ave, Los Angeles, CA, 90022\\t</td>\n",
              "      <td>1008 South Kern Avenue, Los Angeles, CA 90022</td>\n",
              "      <td>34.020141</td>\n",
              "      <td>-118.166141</td>\n",
              "      <td>0.244444</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b5302a1b-f2fb-48fc-bca2-a692b2f09930')\"\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-b5302a1b-f2fb-48fc-bca2-a692b2f09930 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-b5302a1b-f2fb-48fc-bca2-a692b2f09930');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                input_address  ...      dist\n",
              "0  10020 Loftus Dr Apt G, El Monte, CA, 91731  ...  0.250000\n",
              "1     10047 1/4 Samoa Ave, Tujunga, CA, 91042  ...  0.200000\n",
              "2   1008 S Kern Ave, Los Angeles, CA, 90022\\t  ...  0.244444\n",
              "\n",
              "[3 rows x 5 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Using CARTO (HERE)"
      ],
      "metadata": {
        "id": "pt0HgUjeSiep"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "test_addresses = ['10020 Loftus Dr Apt G, El Monte, CA, 91731', '10047 1/4 Samoa Ave, Tujunga, CA, 91042', '1008 S Kern Ave, Los Angeles, CA, 90022\t']\n",
        "test_cities = ['El Monte', 'Tujunga', 'Los Angeles']\n",
        "df_result_here = pd.DataFrame([search_address_carto(address, city) for address, city in zip(test_addresses, test_cities)],\n",
        "                         columns=['input_address', 'lat', 'lon'])\n",
        "df_result_here.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "OJX1VEuES9k5",
        "outputId": "c0696393-dd5e-4976-eac2-ddee300c807b"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-1fbcac8e-1faa-4a2f-9a72-98bf19b5a9e6\">\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>input_address</th>\n",
              "      <th>lat</th>\n",
              "      <th>lon</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>10020 Loftus Dr Apt G, El Monte, CA, 91731</td>\n",
              "      <td>34.07409</td>\n",
              "      <td>-118.05303</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>10047 1/4 Samoa Ave, Tujunga, CA, 91042</td>\n",
              "      <td>34.26007</td>\n",
              "      <td>-118.28748</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1008 S Kern Ave, Los Angeles, CA, 90022\\t</td>\n",
              "      <td>34.02009</td>\n",
              "      <td>-118.16604</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1fbcac8e-1faa-4a2f-9a72-98bf19b5a9e6')\"\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-1fbcac8e-1faa-4a2f-9a72-98bf19b5a9e6 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-1fbcac8e-1faa-4a2f-9a72-98bf19b5a9e6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                input_address       lat        lon\n",
              "0  10020 Loftus Dr Apt G, El Monte, CA, 91731  34.07409 -118.05303\n",
              "1     10047 1/4 Samoa Ave, Tujunga, CA, 91042  34.26007 -118.28748\n",
              "2   1008 S Kern Ave, Los Angeles, CA, 90022\\t  34.02009 -118.16604"
            ]
          },
          "metadata": {},
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Batch Geocoding"
      ],
      "metadata": {
        "id": "t9-147zfUBpc"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### CAMS"
      ],
      "metadata": {
        "id": "qNzqxg_DUjNF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "@unsync\n",
        "def search_address_cams_bulk(address):\n",
        "  carto_url = 'https://us-central1-cartodb-gcp-solutions-eng-team.cloudfunctions.net/getAddress'\n",
        "  payload = {'address': address}\n",
        "  headers = {'content-type':'application/json'}\n",
        "  res = requests.post(carto_url, data=json.dumps(payload), headers=headers)\n",
        "  data = json.loads(res.text)['rows'][0]\n",
        "  return (address, data['address'], data['lat'], data['lon'], data['dist'])"
      ],
      "metadata": {
        "id": "pO4uAabLVEA8"
      },
      "execution_count": 52,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "tasks = [search_address_cams_bulk(address) for address in test_addresses]\n",
        "df_result_cams_bulk = pd.DataFrame([task.result() for task in tasks],\n",
        "                         columns=['input_address', 'found_address', 'lat', 'lon', 'dist'])\n",
        "df_result_cams_bulk.head(5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "xUgqOIwWUiVI",
        "outputId": "ec5c7b46-5c83-4d64-9d6d-c3f116672fc8"
      },
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-2d35974b-a7d2-4be2-8dfb-392140b7386e\">\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>input_address</th>\n",
              "      <th>found_address</th>\n",
              "      <th>lat</th>\n",
              "      <th>lon</th>\n",
              "      <th>dist</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>10020 Loftus Dr Apt G, El Monte, CA, 91731</td>\n",
              "      <td>10020 Loftus Drive, El Monte, CA 91731</td>\n",
              "      <td>34.074073</td>\n",
              "      <td>-118.052863</td>\n",
              "      <td>0.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>10047 1/4 Samoa Ave, Tujunga, CA, 91042</td>\n",
              "      <td>10047 Samoa Avenue, Tujunga, CA 91042</td>\n",
              "      <td>34.251551</td>\n",
              "      <td>-118.287433</td>\n",
              "      <td>0.200000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1008 S Kern Ave, Los Angeles, CA, 90022\\t</td>\n",
              "      <td>1008 South Kern Avenue, Los Angeles, CA 90022</td>\n",
              "      <td>34.020141</td>\n",
              "      <td>-118.166141</td>\n",
              "      <td>0.244444</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2d35974b-a7d2-4be2-8dfb-392140b7386e')\"\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-2d35974b-a7d2-4be2-8dfb-392140b7386e 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-2d35974b-a7d2-4be2-8dfb-392140b7386e');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                input_address  ...      dist\n",
              "0  10020 Loftus Dr Apt G, El Monte, CA, 91731  ...  0.250000\n",
              "1     10047 1/4 Samoa Ave, Tujunga, CA, 91042  ...  0.200000\n",
              "2   1008 S Kern Ave, Los Angeles, CA, 90022\\t  ...  0.244444\n",
              "\n",
              "[3 rows x 5 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### CARTO (HERE)"
      ],
      "metadata": {
        "id": "f8oTdSM8VMhp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "@unsync\n",
        "def search_address_carto_bulk(address, city, state='CA', country='United States'):\n",
        "  api_key = '551d05a437c7f6f81640f7fc87d9a2c62afc9f08'\n",
        "  query = f\"select ST_AsText(cdb_geocode_street_point) as geom from cdb_geocode_street_point('{address}', '{city}', '{state}', '{country}')\"\n",
        "  query_encode = requote_uri(query)\n",
        "  full_url = f\"https://tnederlof.carto.com/api/v2/sql?q={query_encode}&api_key={api_key}\"\n",
        "  result = json.loads(requests.get(full_url).text)['rows'][0]['geom']\n",
        "  geo_result = gpd.GeoSeries.from_wkt([result])\n",
        "  return (address, geo_result.y[0], geo_result.x[0])\n",
        " "
      ],
      "metadata": {
        "id": "uSZ9mMD9VO-V"
      },
      "execution_count": 54,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_addresses = ['10020 Loftus Dr Apt G, El Monte, CA, 91731', '10047 1/4 Samoa Ave, Tujunga, CA, 91042', '1008 S Kern Ave, Los Angeles, CA, 90022\t']\n",
        "test_cities = ['El Monte', 'Tujunga', 'Los Angeles']\n",
        "carto_tasks = [search_address_carto_bulk(address, city) for address, city in zip(test_addresses, test_cities)]\n",
        "df_result_here_bulk = pd.DataFrame([task.result() for task in carto_tasks],\n",
        "                         columns=['input_address', 'lat', 'lon'])\n",
        "df_result_here_bulk.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "uI7l4ZCaVTMm",
        "outputId": "8d55bc9f-f724-4bf7-b887-9f2ed49060a5"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-fcbc344d-03ee-49ef-9cc0-475982235263\">\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>input_address</th>\n",
              "      <th>lat</th>\n",
              "      <th>lon</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>10020 Loftus Dr Apt G, El Monte, CA, 91731</td>\n",
              "      <td>34.07409</td>\n",
              "      <td>-118.05303</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>10047 1/4 Samoa Ave, Tujunga, CA, 91042</td>\n",
              "      <td>34.26007</td>\n",
              "      <td>-118.28748</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1008 S Kern Ave, Los Angeles, CA, 90022\\t</td>\n",
              "      <td>34.02009</td>\n",
              "      <td>-118.16604</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-fcbc344d-03ee-49ef-9cc0-475982235263')\"\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-fcbc344d-03ee-49ef-9cc0-475982235263 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-fcbc344d-03ee-49ef-9cc0-475982235263');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                input_address       lat        lon\n",
              "0  10020 Loftus Dr Apt G, El Monte, CA, 91731  34.07409 -118.05303\n",
              "1     10047 1/4 Samoa Ave, Tujunga, CA, 91042  34.26007 -118.28748\n",
              "2   1008 S Kern Ave, Los Angeles, CA, 90022\\t  34.02009 -118.16604"
            ]
          },
          "metadata": {},
          "execution_count": 57
        }
      ]
    }
  ]
}