obtener_puntos.ipynb

{
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  "metadata": {
    "colab": {
      "provenance": [],
      "mount_file_id": "1yyRxDjT-N2IV9SGkrqwEBuB5l6c3irxi",
      "authorship_tag": "ABX9TyOFER+LPwSGirQtMSyHAAY3",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/JorgeICS/Primeos_Analisis_Geopandas/blob/main/obtener_puntos.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "B9FSnLki3EtF"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install geopandas pandas matplotlib"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "cc6a6426-33b7-4447-f040-a8083b21cdf8",
        "id": "VT6wsa-HEx0s"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: geopandas in /usr/local/lib/python3.10/dist-packages (0.14.4)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (2.1.4)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (3.7.1)\n",
            "Requirement already satisfied: fiona>=1.8.21 in /usr/local/lib/python3.10/dist-packages (from geopandas) (1.9.6)\n",
            "Requirement already satisfied: numpy>=1.22 in /usr/local/lib/python3.10/dist-packages (from geopandas) (1.26.4)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from geopandas) (24.1)\n",
            "Requirement already satisfied: pyproj>=3.3.0 in /usr/local/lib/python3.10/dist-packages (from geopandas) (3.6.1)\n",
            "Requirement already satisfied: shapely>=1.8.0 in /usr/local/lib/python3.10/dist-packages (from geopandas) (2.0.5)\n",
            "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/lib/python3.10/dist-packages (from pandas) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.1)\n",
            "Requirement already satisfied: tzdata>=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas) (2024.1)\n",
            "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (1.2.1)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (0.12.1)\n",
            "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (4.53.1)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (1.4.5)\n",
            "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (9.4.0)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (3.1.2)\n",
            "Requirement already satisfied: attrs>=19.2.0 in /usr/local/lib/python3.10/dist-packages (from fiona>=1.8.21->geopandas) (24.1.0)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from fiona>=1.8.21->geopandas) (2024.7.4)\n",
            "Requirement already satisfied: click~=8.0 in /usr/local/lib/python3.10/dist-packages (from fiona>=1.8.21->geopandas) (8.1.7)\n",
            "Requirement already satisfied: click-plugins>=1.0 in /usr/local/lib/python3.10/dist-packages (from fiona>=1.8.21->geopandas) (1.1.1)\n",
            "Requirement already satisfied: cligj>=0.5 in /usr/local/lib/python3.10/dist-packages (from fiona>=1.8.21->geopandas) (0.7.2)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from fiona>=1.8.21->geopandas) (1.16.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import geopandas as gpd\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "o4JmSH1eEx0u"
      },
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "bccf=gpd.read_file('/content/drive/MyDrive/Carreteras_federales_porEstado/Baja California_carrFed2023.shp')"
      ],
      "metadata": {
        "id": "uGoUbjp96JK6"
      },
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from shapely.geometry import MultiLineString, LineString, Point"
      ],
      "metadata": {
        "id": "EEYMC1rT6cdD"
      },
      "execution_count": 46,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def extract_points(geom):\n",
        "    points = []\n",
        "    if geom.geom_type == 'MultiLineString':\n",
        "        for line in geom.geoms:  # Usar geom.geoms para iterar sobre las líneas\n",
        "            points.extend([Point(coord) for coord in line.coords])\n",
        "    elif geom.geom_type == 'LineString':\n",
        "        points = [Point(coord) for coord in geom.coords]\n",
        "    return points"
      ],
      "metadata": {
        "id": "OTZhXbRJeT86"
      },
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "bccf['points'] = bccf['geometry'].apply(lambda geom: extract_points(geom))"
      ],
      "metadata": {
        "id": "Ya2rwFDVEmnE"
      },
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sin_ID=bccf.loc[bccf['NOMBRE'].str.len()==3]"
      ],
      "metadata": {
        "id": "ztw-Pz6ZaYcP"
      },
      "execution_count": 87,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cf_con_ID=bccf.loc[bccf['NOMBRE'].str.len()>3]"
      ],
      "metadata": {
        "id": "6OSOPQG1ayUc"
      },
      "execution_count": 88,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "columnas_originales=bccf.columns\n",
        "nuevos_ID= pd.DataFrame(columns=columnas_originales)\n",
        "nuevos_ID.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QqUZ_pMyE8q7",
        "outputId": "474a5e93-6ebb-4afb-a273-9ddd6008e5e5"
      },
      "execution_count": 89,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(0, 24)"
            ]
          },
          "metadata": {},
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# quitar todas las columnas menos NOMBRE ,CODIGO,ID_RED,geometry\n",
        "\n",
        "cf_con_ID = cf_con_ID[['NOMBRE', 'CODIGO', 'ID_RED', 'geometry']]\n"
      ],
      "metadata": {
        "id": "QTbH11nLa404"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cf_con_ID = cf_con_ID.dissolve(\n",
        "     by=['NOMBRE','CODIGO'],\n",
        "     aggfunc={\n",
        "         'ID_RED' : 'count'\n",
        "     },\n",
        " )"
      ],
      "metadata": {
        "id": "42lR65Csb0lr"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cf_con_ID"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 964
        },
        "id": "xa6J67Aac98x",
        "outputId": "60de9f5d-6c83-4524-f8e1-d2b5b41a097f"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "       ID_RED  TIPO_VIAL                         NOMBRE CODIGO       COND_PAV  \\\n",
              "0     1176210  Carretera  Punta Prieta - Guerrero Negro      1  Con pavimento   \n",
              "1     1176208  Carretera  Punta Prieta - Guerrero Negro      1  Con pavimento   \n",
              "2     1176209  Carretera  Punta Prieta - Guerrero Negro      1  Con pavimento   \n",
              "3      428182  Carretera  Punta Prieta - Guerrero Negro      1  Con pavimento   \n",
              "5      427858  Carretera  Punta Prieta - Guerrero Negro      1  Con pavimento   \n",
              "...       ...        ...                            ...    ...            ...   \n",
              "3953   429540  Carretera    Escénica Tijuana - Ensenada      1  Con pavimento   \n",
              "3954  2558726  Carretera    Escénica Tijuana - Ensenada      1  Con pavimento   \n",
              "3955   431047  Carretera    Escénica Tijuana - Ensenada      1  Con pavimento   \n",
              "3956   677776  Carretera    Escénica Tijuana - Ensenada      1  Con pavimento   \n",
              "3957   677773  Carretera    Escénica Tijuana - Ensenada      1  Con pavimento   \n",
              "\n",
              "      RECUBRI CARRILES     ESTATUS     CONDICION  NIVEL  ...     CIRCULA  \\\n",
              "0     Asfalto        2  Habilitado  En operación      0  ...  Un sentido   \n",
              "1     Asfalto        2  Habilitado  En operación      0  ...  Un sentido   \n",
              "2     Asfalto        2  Habilitado  En operación      0  ...  Un sentido   \n",
              "3     Asfalto        2  Habilitado  En operación      0  ...  Un sentido   \n",
              "5     Asfalto        2  Habilitado  En operación      0  ...  Un sentido   \n",
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              "3953  Asfalto        2  Habilitado  En operación      1  ...  Un sentido   \n",
              "3954  Asfalto        2  Habilitado  En operación      1  ...  Un sentido   \n",
              "3955  Asfalto        2  Habilitado  En operación      0  ...  Un sentido   \n",
              "3956  Asfalto        2  Habilitado  En operación      0  ...  Un sentido   \n",
              "3957  Asfalto        2  Habilitado  En operación      0  ...  Un sentido   \n",
              "\n",
              "     ESCALA_VIS VELOCIDAD UNION_INI  UNION_FIN    LONGITUD  ANCHO  \\\n",
              "0             1        60   1892704    1366450   36.778849    6.0   \n",
              "1             1        60   1892703    1892704  139.163790    6.0   \n",
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              "3             1        60   1363161    1362875  525.961935    6.0   \n",
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              "...         ...       ...       ...        ...         ...    ...   \n",
              "3953          1        80    882642    1364176   48.054860    6.0   \n",
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              "3955          1        80   1364176    1364713   68.900612    6.0   \n",
              "3956          1        80    379213     374635  354.219300    6.0   \n",
              "3957          1        80   1364713     375928  253.231338    6.0   \n",
              "\n",
              "                FECHA_ACT  CALIREPR  \\\n",
              "0     2017-10-24 15:28:51  Definida   \n",
              "1     2017-10-24 13:32:34  Definida   \n",
              "2     2017-10-24 10:52:22  Definida   \n",
              "3     2012-10-25 08:52:37  Definida   \n",
              "5     2017-10-24 10:56:08  Definida   \n",
              "...                   ...       ...   \n",
              "3953  2023-06-08 21:21:46  Definida   \n",
              "3954  2023-06-08 21:22:14  Definida   \n",
              "3955  2023-05-31 23:23:25  Definida   \n",
              "3956  2023-07-05 13:18:24  Definida   \n",
              "3957  2023-05-31 23:23:33  Definida   \n",
              "\n",
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              "      <th></th>\n",
              "      <th>ID_RED</th>\n",
              "      <th>TIPO_VIAL</th>\n",
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              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
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              "      <td>Escénica Tijuana - Ensenada</td>\n",
              "      <td>1</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>Un sentido</td>\n",
              "      <td>1</td>\n",
              "      <td>80</td>\n",
              "      <td>882642</td>\n",
              "      <td>1364176</td>\n",
              "      <td>48.054860</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2023-06-08 21:21:46</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1073165.156 2349296.254, 1073176.7...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3954</th>\n",
              "      <td>2558726</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Escénica Tijuana - Ensenada</td>\n",
              "      <td>1</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>Un sentido</td>\n",
              "      <td>1</td>\n",
              "      <td>80</td>\n",
              "      <td>374635</td>\n",
              "      <td>374636</td>\n",
              "      <td>46.749706</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2023-06-08 21:22:14</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1073181.841 2349343.715, 1073174.8...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3955</th>\n",
              "      <td>431047</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Escénica Tijuana - Ensenada</td>\n",
              "      <td>1</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>Un sentido</td>\n",
              "      <td>1</td>\n",
              "      <td>80</td>\n",
              "      <td>1364176</td>\n",
              "      <td>1364713</td>\n",
              "      <td>68.900612</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2023-05-31 23:23:25</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1073187.900 2349338.558, 1073212.0...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3956</th>\n",
              "      <td>677776</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Escénica Tijuana - Ensenada</td>\n",
              "      <td>1</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>Un sentido</td>\n",
              "      <td>1</td>\n",
              "      <td>80</td>\n",
              "      <td>379213</td>\n",
              "      <td>374635</td>\n",
              "      <td>354.219300</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2023-07-05 13:18:24</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1073485.443 2349501.639, 1073453.3...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3957</th>\n",
              "      <td>677773</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Escénica Tijuana - Ensenada</td>\n",
              "      <td>1</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>Un sentido</td>\n",
              "      <td>1</td>\n",
              "      <td>80</td>\n",
              "      <td>1364713</td>\n",
              "      <td>375928</td>\n",
              "      <td>253.231338</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2023-05-31 23:23:33</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1073232.846 2349390.715, 1073260.6...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3940 rows × 23 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
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              "      buttonEl.style.display =\n",
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              "        const element = document.querySelector('#df-4628e22a-a344-4132-a987-42b772fc4aa1');\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
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              "\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",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
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              "    height: 32px;\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-5ca27fd7-9695-4870-ad86-7c7cd11534ef button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_facb8824-6f59-4a4f-9b08-965178d0da66\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('cf_con_ID')\"\n",
              "            title=\"Generate code using this dataframe.\"\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=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_facb8824-6f59-4a4f-9b08-965178d0da66 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('cf_con_ID');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "cf_con_ID"
            }
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "GK9cJW5_eVxn"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cf_con_ID['points'] = cf_con_ID['geometry'].apply(lambda geom: extract_points(geom))"
      ],
      "metadata": {
        "id": "L1FCaOTudIgT",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "a6f0896f-cf98-40df-b98c-7897cb649237"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/geopandas/geodataframe.py:1528: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  super().__setitem__(key, value)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cf_con_ID"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 964
        },
        "id": "NxiqQTbOeoHm",
        "outputId": "adcd13d9-6e05-4967-8b76-4a7576d2bafc"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       ID_RED  TIPO_VIAL                         NOMBRE CODIGO       COND_PAV  \\\n",
              "0     1176210  Carretera  Punta Prieta - Guerrero Negro      1  Con pavimento   \n",
              "1     1176208  Carretera  Punta Prieta - Guerrero Negro      1  Con pavimento   \n",
              "2     1176209  Carretera  Punta Prieta - Guerrero Negro      1  Con pavimento   \n",
              "3      428182  Carretera  Punta Prieta - Guerrero Negro      1  Con pavimento   \n",
              "5      427858  Carretera  Punta Prieta - Guerrero Negro      1  Con pavimento   \n",
              "...       ...        ...                            ...    ...            ...   \n",
              "3953   429540  Carretera    Escénica Tijuana - Ensenada      1  Con pavimento   \n",
              "3954  2558726  Carretera    Escénica Tijuana - Ensenada      1  Con pavimento   \n",
              "3955   431047  Carretera    Escénica Tijuana - Ensenada      1  Con pavimento   \n",
              "3956   677776  Carretera    Escénica Tijuana - Ensenada      1  Con pavimento   \n",
              "3957   677773  Carretera    Escénica Tijuana - Ensenada      1  Con pavimento   \n",
              "\n",
              "      RECUBRI CARRILES     ESTATUS     CONDICION  NIVEL  ... ESCALA_VIS  \\\n",
              "0     Asfalto        2  Habilitado  En operación      0  ...          1   \n",
              "1     Asfalto        2  Habilitado  En operación      0  ...          1   \n",
              "2     Asfalto        2  Habilitado  En operación      0  ...          1   \n",
              "3     Asfalto        2  Habilitado  En operación      0  ...          1   \n",
              "5     Asfalto        2  Habilitado  En operación      0  ...          1   \n",
              "...       ...      ...         ...           ...    ...  ...        ...   \n",
              "3953  Asfalto        2  Habilitado  En operación      1  ...          1   \n",
              "3954  Asfalto        2  Habilitado  En operación      1  ...          1   \n",
              "3955  Asfalto        2  Habilitado  En operación      0  ...          1   \n",
              "3956  Asfalto        2  Habilitado  En operación      0  ...          1   \n",
              "3957  Asfalto        2  Habilitado  En operación      0  ...          1   \n",
              "\n",
              "     VELOCIDAD UNION_INI UNION_FIN    LONGITUD ANCHO            FECHA_ACT  \\\n",
              "0           60   1892704   1366450   36.778849   6.0  2017-10-24 15:28:51   \n",
              "1           60   1892703   1892704  139.163790   6.0  2017-10-24 13:32:34   \n",
              "2           60   1363073   1892703   70.463877   6.0  2017-10-24 10:52:22   \n",
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              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
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              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
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              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
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              "    60% {\n",
              "      border-color: transparent;\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
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              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-73125602-001a-49f4-b432-bfca8b0adb8c button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
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              "</div>\n",
              "\n",
              "  <div id=\"id_68962b45-230d-4349-aa09-3011795fc647\">\n",
              "    <style>\n",
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              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
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              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
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              "\n",
              "      [theme=dark] .colab-df-generate {\n",
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              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('cf_con_ID')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
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              "      const buttonEl =\n",
              "        document.querySelector('#id_68962b45-230d-4349-aa09-3011795fc647 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('cf_con_ID');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "cf_con_ID"
            }
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sin_ID['points'] = sin_ID['geometry'].apply(lambda geom: extract_points(geom))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cuzr6qk-fGlP",
        "outputId": "eccece88-807e-45f6-b6c1-03164fb49ad3"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/geopandas/geodataframe.py:1528: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  super().__setitem__(key, value)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sin_ID"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "rlWL_75JfVRj",
        "outputId": "78b8f656-07ac-425e-f2be-1a22f600e585"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "       ID_RED  TIPO_VIAL NOMBRE CODIGO       COND_PAV   RECUBRI CARRILES  \\\n",
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              "         ESTATUS     CONDICION  NIVEL  ... ESCALA_VIS VELOCIDAD UNION_INI  \\\n",
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              "      <td>Con pavimento</td>\n",
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              "      <td>40</td>\n",
              "      <td>207143</td>\n",
              "      <td>207144</td>\n",
              "      <td>4.748316</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2020-01-29 14:15:11</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1286086.893 2325056.798, 1286088.9...</td>\n",
              "      <td>[POINT (1286086.893411562 2325056.7982624695),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1912</th>\n",
              "      <td>423910</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>N/D</td>\n",
              "      <td>2</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>40</td>\n",
              "      <td>207144</td>\n",
              "      <td>207145</td>\n",
              "      <td>4.800367</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2020-01-29 09:45:41</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1286088.919 2325061.093, 1286090.9...</td>\n",
              "      <td>[POINT (1286088.9187007472 2325061.092992882),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1913</th>\n",
              "      <td>2389933</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>N/D</td>\n",
              "      <td>2</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>40</td>\n",
              "      <td>207145</td>\n",
              "      <td>207146</td>\n",
              "      <td>2.230006</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2020-01-29 10:09:26</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1286090.966 2325065.435, 1286091.9...</td>\n",
              "      <td>[POINT (1286090.9660842984 2325065.434852066),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3788</th>\n",
              "      <td>1065130</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>N/D</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>634485</td>\n",
              "      <td>1364679</td>\n",
              "      <td>226.746590</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2017-05-08 11:33:50</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118069.792 2345760.764, 1118081.8...</td>\n",
              "      <td>[POINT (1118069.7921155305 2345760.763531851),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3789</th>\n",
              "      <td>1065127</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>N/D</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>634484</td>\n",
              "      <td>634485</td>\n",
              "      <td>227.385845</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2019-12-10 12:47:06</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118266.749 2345873.621, 1118263.6...</td>\n",
              "      <td>[POINT (1118266.7488281038 2345873.621270108),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3793</th>\n",
              "      <td>429914</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>N/D</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1364401</td>\n",
              "      <td>634485</td>\n",
              "      <td>606.489422</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2016-07-11 13:30:56</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1117599.350 2346110.574, 1117627.3...</td>\n",
              "      <td>[POINT (1117599.3498614396 2346110.5740128793)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3794</th>\n",
              "      <td>430479</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>N/D</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>634485</td>\n",
              "      <td>1364453</td>\n",
              "      <td>608.666977</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2016-07-11 16:20:10</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118069.792 2345760.764, 1118062.8...</td>\n",
              "      <td>[POINT (1118069.7921155305 2345760.763531851),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3796</th>\n",
              "      <td>430838</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>N/D</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1364679</td>\n",
              "      <td>1363875</td>\n",
              "      <td>468.830611</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-08 14:36:09</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118269.382 2345867.630, 1118274.7...</td>\n",
              "      <td>[POINT (1118269.3821030993 2345867.6298835254)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3797</th>\n",
              "      <td>429506</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>N/D</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1363874</td>\n",
              "      <td>634484</td>\n",
              "      <td>468.952642</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-08 10:59:41</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118698.824 2346054.694, 1118680.1...</td>\n",
              "      <td>[POINT (1118698.8240138327 2346054.694292896),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3800</th>\n",
              "      <td>430533</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>N/D</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1363875</td>\n",
              "      <td>1364594</td>\n",
              "      <td>185.883845</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-08 15:00:33</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118701.557 2346048.085, 1118863.6...</td>\n",
              "      <td>[POINT (1118701.557122086 2346048.085449424), ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3801</th>\n",
              "      <td>429621</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>N/D</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>340787</td>\n",
              "      <td>1363874</td>\n",
              "      <td>196.548557</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-08 11:20:14</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118869.823 2346151.535, 1118765.1...</td>\n",
              "      <td>[POINT (1118869.8228015364 2346151.535398017),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3802</th>\n",
              "      <td>432110</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>N/D</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1364594</td>\n",
              "      <td>340784</td>\n",
              "      <td>12.709423</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-08 14:51:08</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118863.635 2346139.099, 1118875.0...</td>\n",
              "      <td>[POINT (1118863.6352640148 2346139.0990741835)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3803</th>\n",
              "      <td>2561203</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>N/D</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>340785</td>\n",
              "      <td>340787</td>\n",
              "      <td>11.814519</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-08 16:02:23</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118880.581 2346146.652, 1118869.8...</td>\n",
              "      <td>[POINT (1118880.5807261313 2346146.651760752),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3825</th>\n",
              "      <td>836758</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>N/D</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1751530</td>\n",
              "      <td>1689683</td>\n",
              "      <td>235.684076</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2016-09-20 10:59:02</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1117331.338 2346110.857, 1117287.8...</td>\n",
              "      <td>[POINT (1117331.338000913 2346110.8572959034),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3826</th>\n",
              "      <td>430121</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>N/D</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>341713</td>\n",
              "      <td>1364401</td>\n",
              "      <td>525.090058</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-09 09:56:45</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1117095.144 2346072.910, 1117100.8...</td>\n",
              "      <td>[POINT (1117095.1438504115 2346072.9100752925)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3827</th>\n",
              "      <td>430497</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>N/D</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1364453</td>\n",
              "      <td>1751530</td>\n",
              "      <td>290.081263</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2016-09-20 13:00:15</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1117604.017 2346116.785, 1117583.9...</td>\n",
              "      <td>[POINT (1117604.0169206362 2346116.784828458),...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>18 rows × 24 columns</p>\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-92558664-f200-4755-bee4-be8f7b06437a button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_d2c63d0f-7c0c-480b-973b-128403bfc304\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('sin_ID')\"\n",
              "            title=\"Generate code using this dataframe.\"\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=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_d2c63d0f-7c0c-480b-973b-128403bfc304 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sin_ID');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sin_ID"
            }
          },
          "metadata": {},
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "  columna1='points'\n",
        "  for idx, row in sin_ID.iterrows():\n",
        "    if (row[columna1] in cf_con_ID[columna1].values):\n",
        "      nombre_nuevo = cf_con_ID.loc[cf_con_ID[columna1] == row[columna1], 'NOMBRE'].values[0]\n",
        "      sin_ID.at[idx, 'NOMBRE'] = nombre_nuevo"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 211
        },
        "id": "Qhpfrf6Tfxig",
        "outputId": "e0373992-d97a-4d14-c373-99e9f7ab9ff9"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "error",
          "ename": "ValueError",
          "evalue": "operands could not be broadcast together with shapes (35,) (3,) ",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-14-7b555dc3be66>\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mcolumna1\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'points'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0midx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrow\u001b[0m \u001b[0;32min\u001b[0m \u001b[0msin_ID\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miterrows\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m   \u001b[0;32mif\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mrow\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcolumna1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcf_con_ID\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcolumna1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m     \u001b[0mnombre_nuevo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcf_con_ID\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcf_con_ID\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcolumna1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mrow\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcolumna1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'NOMBRE'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0msin_ID\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mat\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0midx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'NOMBRE'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnombre_nuevo\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mValueError\u001b[0m: operands could not be broadcast together with shapes (35,) (3,) "
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Comparar cada punto individualmente\n",
        "for idx, row in sin_ID.iterrows():\n",
        "    for point in row[columna1]:  # Iterar sobre cada punto en la lista de puntos\n",
        "        match_found = False\n",
        "        for i, points_list in cf_con_ID[columna1].items():\n",
        "            if any(point.equals(p) for p in points_list):  # Comparar cada punto\n",
        "                nombre_nuevo = i  # Usar 'i' directamente como 'NOMBRE'\n",
        "                sin_ID.at[idx, 'NOMBRE'] = nombre_nuevo\n",
        "                match_found = True\n",
        "                break\n",
        "        if match_found:\n",
        "            break"
      ],
      "metadata": {
        "id": "Hc0G3V_KhpCj"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# PARA DOS INDICES\n",
        "columna1='points'\n",
        "\n",
        "for idx, row in sin_ID.iterrows():\n",
        "    for point in row[columna1]:  # Iterar sobre cada punto en la lista de puntos\n",
        "        match_found = False\n",
        "        for i, points_list in cf_con_ID[columna1].items():\n",
        "            if any(point.equals(p) for p in points_list):  # Comparar cada punto\n",
        "                nombre_nuevo = i[0]  # Primer índice\n",
        "                codigo_nuevo = i[1]  # Segundo índice\n",
        "                sin_ID.at[idx, 'NOMBRE'] = nombre_nuevo\n",
        "                sin_ID.at[idx, 'CODIGO'] = codigo_nuevo\n",
        "                match_found = True\n",
        "\n",
        "\n",
        "                # Agregar la fila a cf_con_ID si se cambió el NOMBRE\n",
        "                nueva_fila = pd.DataFrame({\n",
        "                    'geometry': [row['geometry']],\n",
        "                    'points': [row['points']]\n",
        "                }, index=pd.MultiIndex.from_tuples([(nombre_nuevo, codigo_nuevo)], names=['NOMBRE', 'CODIGO']))\n",
        "\n",
        "                cf_con_ID = pd.concat([cf_con_ID, nueva_fila])\n",
        "\n",
        "                # Eliminar la fila de sin_ID inmediatamente\n",
        "                sin_ID.drop(idx, inplace=True)\n",
        "                break\n",
        "        if match_found:\n",
        "            break"
      ],
      "metadata": {
        "id": "HUgjAzjpjsav",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "24b925c7-8dd8-475c-c501-b4681b8c9ee2"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-20-ee12746a047b>:23: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "6zkR7I53BcSq"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# PARA DOS INDICES\n",
        "columna1='points'\n",
        "\n",
        "for idx, row in sin_ID.iterrows():\n",
        "    for point in row[columna1]:  # Iterar sobre cada punto en la lista de puntos\n",
        "        match_found = False\n",
        "        for i, points_list in cf_con_ID[columna1].items():\n",
        "            if any(point.equals(p) for p in points_list): # Comparar cada punto\n",
        "              nombre_nuevo = cf_con_ID.loc[i, 'NOMBRE'].values[0] # Primer índice\n",
        "              codigo_nuevo = cf_con_ID.loc[i, 'CODIGO'].values[0]  # Segundo índice\n",
        "              sin_ID.at[idx, 'NOMBRE'] = nombre_nuevo\n",
        "              sin_ID.at[idx, 'CODIGO'] = codigo_nuevo\n",
        "              match_found = True\n",
        "\n",
        "\n",
        "              # Agregar la fila a cf_con_ID si se cambió el NOMBRE\n",
        "              nueva_fila = pd.DataFrame({\n",
        "                    'geometry': [row['geometry']],\n",
        "                    'points': [row['points']]\n",
        "                }, index=pd.MultiIndex.from_tuples([(nombre_nuevo, codigo_nuevo)], names=['NOMBRE', 'CODIGO']))\n",
        "\n",
        "              cf_con_ID = pd.concat([cf_con_ID, nueva_fila])\n",
        "              nuevos_ID = pd.concat([nuevos_ID, nueva_fila])\n",
        "                # Eliminar la fila de sin_ID inmediatamente\n",
        "              sin_ID.drop(idx, inplace=True)\n",
        "              break\n",
        "        if match_found:\n",
        "            break"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 211
        },
        "outputId": "c7423fb3-e4b2-41dd-f46c-894f024b0073",
        "id": "haxzNVFABc0V"
      },
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "error",
          "ename": "AttributeError",
          "evalue": "'str' object has no attribute 'values'",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-60-40c60ac1fe73>\u001b[0m in \u001b[0;36m<cell line: 4>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      7\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpoints_list\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcf_con_ID\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcolumna1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0many\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpoint\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mequals\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mp\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mpoints_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# Comparar cada punto\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m               \u001b[0mnombre_nuevo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcf_con_ID\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'NOMBRE'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;31m# Primer índice\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m               \u001b[0mcodigo_nuevo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcf_con_ID\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'CODIGO'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m  \u001b[0;31m# Segundo índice\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m               \u001b[0msin_ID\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mat\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0midx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'NOMBRE'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnombre_nuevo\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mAttributeError\u001b[0m: 'str' object has no attribute 'values'"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "columna1 = 'points'\n",
        "\n",
        "for idx, row in sin_ID.iterrows():\n",
        "    for point in row[columna1]:  # Iterar sobre cada punto en la lista de puntos\n",
        "        match_found = False\n",
        "        for i, points_list in cf_con_ID[columna1].items():\n",
        "            if any(point.equals(p) for p in points_list):  # Comparar cada punto\n",
        "                # Acceder al valor de la columna 'NOMBRE' y 'CODIGO'\n",
        "                nombre_nuevo = cf_con_ID.loc[i, 'NOMBRE']  # Aquí 'i' es la tupla de índices\n",
        "                codigo_nuevo = cf_con_ID.loc[i, 'CODIGO']  # Aquí 'i' es la tupla de índices\n",
        "\n",
        "                sin_ID.at[idx, 'NOMBRE'] = nombre_nuevo\n",
        "                sin_ID.at[idx, 'CODIGO'] = codigo_nuevo\n",
        "                match_found = True\n",
        "\n",
        "                # Agregar la fila a cf_con_ID si se cambió el NOMBRE\n",
        "                nueva_fila = pd.DataFrame({\n",
        "                    'geometry': [row['geometry']],\n",
        "                    'points': [row['points']]\n",
        "                }, index=pd.MultiIndex.from_tuples([(nombre_nuevo, codigo_nuevo)], names=['NOMBRE', 'CODIGO']))\n",
        "\n",
        "                cf_con_ID = pd.concat([cf_con_ID, nueva_fila])\n",
        "                nuevos_ID = pd.concat([nuevos_ID, nueva_fila])\n",
        "\n",
        "                # Eliminar la fila de sin_ID inmediatamente\n",
        "                sin_ID.drop(idx, inplace=True)\n",
        "                break\n",
        "        if match_found:\n",
        "            break\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "pzT1AX1yIwfu",
        "outputId": "feecbb39-3c14-4c98-8a24-3ea2275a00e2"
      },
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-61-f58895e54434>:26: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-61-f58895e54434>:26: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-61-f58895e54434>:26: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-61-f58895e54434>:26: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-61-f58895e54434>:26: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-61-f58895e54434>:26: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-61-f58895e54434>:26: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-61-f58895e54434>:26: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-61-f58895e54434>:26: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "AssertionError",
          "evalue": "",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mAssertionError\u001b[0m                            Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-61-f58895e54434>\u001b[0m in \u001b[0;36m<cell line: 3>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      7\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0many\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpoint\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mequals\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mp\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mpoints_list\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# Comparar cada punto\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m                 \u001b[0;31m# Acceder al valor de la columna 'NOMBRE' y 'CODIGO'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m                 \u001b[0mnombre_nuevo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcf_con_ID\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'NOMBRE'\u001b[0m\u001b[0;34m]\u001b[0m  \u001b[0;31m# Aquí 'i' es la tupla de índices\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m                 \u001b[0mcodigo_nuevo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcf_con_ID\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'CODIGO'\u001b[0m\u001b[0;34m]\u001b[0m  \u001b[0;31m# Aquí 'i' es la tupla de índices\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   1145\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_is_scalar_access\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1146\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtakeable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_takeable\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1147\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_tuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1148\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1149\u001b[0m             \u001b[0;31m# we by definition only have the 0th axis\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_getitem_tuple\u001b[0;34m(self, tup)\u001b[0m\n\u001b[1;32m   1337\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_multi_take\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1338\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1339\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_tuple_same_dim\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtup\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1340\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1341\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_get_label\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAxisInt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/indexing.py\u001b[0m in \u001b[0;36m_getitem_tuple_same_dim\u001b[0;34m(self, tup)\u001b[0m\n\u001b[1;32m    995\u001b[0m             \u001b[0;31m# We should never have retval.ndim < self.ndim, as that should\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    996\u001b[0m             \u001b[0;31m#  be handled by the _getitem_lowerdim call above.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 997\u001b[0;31m             \u001b[0;32massert\u001b[0m \u001b[0mretval\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    998\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    999\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mretval\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mAssertionError\u001b[0m: "
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "columna1 = 'points'\n",
        "filas_a_eliminar = []  # Lista para almacenar los índices de las filas a eliminar\n",
        "\n",
        "for idx, row in sin_ID.iterrows():\n",
        "    for point in row[columna1]:  # Iterar sobre cada punto en la lista de puntos\n",
        "        match_found = False\n",
        "        for i, points_list in cf_con_ID[columna1].items():\n",
        "            if any(point.equals(p) for p in points_list):  # Comparar cada punto\n",
        "                # Acceder al valor de la columna 'NOMBRE' y 'CODIGO'\n",
        "                nombre_nuevo = cf_con_ID.loc[i, 'NOMBRE']\n",
        "                codigo_nuevo = cf_con_ID.loc[i, 'CODIGO']\n",
        "\n",
        "                # Actualizar sin_ID con los valores nuevos\n",
        "                sin_ID.at[idx, 'NOMBRE'] = nombre_nuevo\n",
        "                sin_ID.at[idx, 'CODIGO'] = codigo_nuevo\n",
        "                match_found = True\n",
        "\n",
        "                # Copiar toda la fila de sin_ID\n",
        "                nueva_fila = row.copy()\n",
        "                # Modificar solo las columnas necesarias\n",
        "                nueva_fila['NOMBRE'] = nombre_nuevo\n",
        "                nueva_fila['CODIGO'] = codigo_nuevo\n",
        "\n",
        "                # Agregar la fila actualizada a cf_con_ID\n",
        "                cf_con_ID = pd.concat([cf_con_ID, nueva_fila.to_frame().T])\n",
        "                nuevos_ID = pd.concat([nuevos_ID, nueva_fila.to_frame().T])\n",
        "\n",
        "                # Acumular el índice de la fila para eliminarla después\n",
        "                filas_a_eliminar.append(idx)\n",
        "                break\n",
        "        if match_found:\n",
        "            break\n",
        "\n",
        "# Eliminar las filas acumuladas después del bucle\n",
        "sin_ID.drop(filas_a_eliminar, inplace=True)\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AwMAgkSaJixs",
        "outputId": "339f4e0d-637b-4fdc-acb3-261091ce37ba"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-78-b5eaa76a8505>:35: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(filas_a_eliminar, inplace=True)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sin_ID"
      ],
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        "id": "Wgk-iPA1iubz",
        "outputId": "559897fa-02e5-4677-b9e8-04bef601fc4c"
      },
      "execution_count": 91,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Empty GeoDataFrame\n",
              "Columns: [ID_RED, TIPO_VIAL, NOMBRE, CODIGO, COND_PAV, RECUBRI, CARRILES, ESTATUS, CONDICION, NIVEL, PEAJE, ADMINISTRA, JURISDI, CIRCULA, ESCALA_VIS, VELOCIDAD, UNION_INI, UNION_FIN, LONGITUD, ANCHO, FECHA_ACT, CALIREPR, geometry, points]\n",
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    {
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        "nuevos_ID"
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          "height": 1000
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        "id": "2GpipvyyFmA5",
        "outputId": "175a8791-2c65-493b-807d-154951bd511a"
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      "execution_count": 92,
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       ID_RED  TIPO_VIAL                                 NOMBRE CODIGO  \\\n",
              "4     1176212  Carretera          Punta Prieta - Guerrero Negro      1   \n",
              "882    428160  Carretera  Ramal a Observatorio San Pedro Mártir    N/D   \n",
              "1911  2389932  Carretera                     Sonoita - Mexicali      2   \n",
              "1912   423910  Carretera                     Sonoita - Mexicali      2   \n",
              "1913  2389933  Carretera                     Sonoita - Mexicali      2   \n",
              "3788  1065130  Carretera                                 Quinta    N/D   \n",
              "3789  1065127  Carretera                                 Quinta    N/D   \n",
              "3793   429914  Carretera                                 Quinta    N/D   \n",
              "3794   430479  Carretera                                 Quinta    N/D   \n",
              "3796   430838  Carretera                                 Quinta    N/D   \n",
              "3797   429506  Carretera                                 Quinta    N/D   \n",
              "3800   430533  Carretera                     Tecate - El Sauzal      3   \n",
              "3801   429621  Carretera                                 Quinta    N/D   \n",
              "3802   432110  Carretera                     Tecate - El Sauzal      3   \n",
              "3803  2561203  Carretera                                 Quinta    N/D   \n",
              "3826   430121  Carretera                                 Quinta    N/D   \n",
              "3827   430497  Carretera                                 Quinta    N/D   \n",
              "3825   836758  Carretera                                 Quinta    N/D   \n",
              "\n",
              "           COND_PAV   RECUBRI CARRILES     ESTATUS     CONDICION NIVEL  ...  \\\n",
              "4     Con pavimento  Concreto        2  Habilitado  En operación     0  ...   \n",
              "882   Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "1911  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "1912  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "1913  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "3788  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "3789  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "3793  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "3794  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "3796  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "3797  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "3800  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "3801  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "3802  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "3803  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "3826  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "3827  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "3825  Con pavimento   Asfalto        2  Habilitado  En operación     0  ...   \n",
              "\n",
              "     ESCALA_VIS VELOCIDAD UNION_INI UNION_FIN    LONGITUD ANCHO  \\\n",
              "4             1        40   1363073   1892705   35.936246   7.0   \n",
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              "\n",
              "                FECHA_ACT  CALIREPR  \\\n",
              "4     2017-10-24 16:08:34  Definida   \n",
              "882   2012-12-03 11:10:47  Definida   \n",
              "1911  2020-01-29 14:15:11  Definida   \n",
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              "3802  2021-06-08 14:51:08  Definida   \n",
              "3803  2021-06-08 16:02:23  Definida   \n",
              "3826  2021-06-09 09:56:45  Definida   \n",
              "3827  2016-09-20 13:00:15  Definida   \n",
              "3825  2016-09-20 10:59:02  Definida   \n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID_RED</th>\n",
              "      <th>TIPO_VIAL</th>\n",
              "      <th>NOMBRE</th>\n",
              "      <th>CODIGO</th>\n",
              "      <th>COND_PAV</th>\n",
              "      <th>RECUBRI</th>\n",
              "      <th>CARRILES</th>\n",
              "      <th>ESTATUS</th>\n",
              "      <th>CONDICION</th>\n",
              "      <th>NIVEL</th>\n",
              "      <th>...</th>\n",
              "      <th>ESCALA_VIS</th>\n",
              "      <th>VELOCIDAD</th>\n",
              "      <th>UNION_INI</th>\n",
              "      <th>UNION_FIN</th>\n",
              "      <th>LONGITUD</th>\n",
              "      <th>ANCHO</th>\n",
              "      <th>FECHA_ACT</th>\n",
              "      <th>CALIREPR</th>\n",
              "      <th>geometry</th>\n",
              "      <th>points</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1176212</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Punta Prieta - Guerrero Negro</td>\n",
              "      <td>1</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Concreto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>40</td>\n",
              "      <td>1363073</td>\n",
              "      <td>1892705</td>\n",
              "      <td>35.936246</td>\n",
              "      <td>7.0</td>\n",
              "      <td>2017-10-24 16:08:34</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1322620.8883462609 1820231.9194758...</td>\n",
              "      <td>[POINT (1322620.8883462609 1820231.9194758113)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>882</th>\n",
              "      <td>428160</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Ramal a Observatorio San Pedro Mártir</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1363080</td>\n",
              "      <td>1362998</td>\n",
              "      <td>177.798696</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2012-12-03 11:10:47</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1202946.4471782038 2164585.3616898...</td>\n",
              "      <td>[POINT (1202946.4471782038 2164585.3616898325)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1911</th>\n",
              "      <td>2389932</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Sonoita - Mexicali</td>\n",
              "      <td>2</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>40</td>\n",
              "      <td>207143</td>\n",
              "      <td>207144</td>\n",
              "      <td>4.748316</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2020-01-29 14:15:11</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1286086.893411562 2325056.79826246...</td>\n",
              "      <td>[POINT (1286086.893411562 2325056.7982624695),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1912</th>\n",
              "      <td>423910</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Sonoita - Mexicali</td>\n",
              "      <td>2</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>40</td>\n",
              "      <td>207144</td>\n",
              "      <td>207145</td>\n",
              "      <td>4.800367</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2020-01-29 09:45:41</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1286088.9187007472 2325061.0929928...</td>\n",
              "      <td>[POINT (1286088.9187007472 2325061.092992882),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1913</th>\n",
              "      <td>2389933</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Sonoita - Mexicali</td>\n",
              "      <td>2</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>40</td>\n",
              "      <td>207145</td>\n",
              "      <td>207146</td>\n",
              "      <td>2.230006</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2020-01-29 10:09:26</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1286090.9660842984 2325065.4348520...</td>\n",
              "      <td>[POINT (1286090.9660842984 2325065.434852066),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3788</th>\n",
              "      <td>1065130</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Quinta</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>634485</td>\n",
              "      <td>1364679</td>\n",
              "      <td>226.74659</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2017-05-08 11:33:50</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118069.7921155305 2345760.7635318...</td>\n",
              "      <td>[POINT (1118069.7921155305 2345760.763531851),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3789</th>\n",
              "      <td>1065127</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Quinta</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>634484</td>\n",
              "      <td>634485</td>\n",
              "      <td>227.385845</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2019-12-10 12:47:06</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118266.7488281038 2345873.6212701...</td>\n",
              "      <td>[POINT (1118266.7488281038 2345873.621270108),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3793</th>\n",
              "      <td>429914</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Quinta</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1364401</td>\n",
              "      <td>634485</td>\n",
              "      <td>606.489422</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2016-07-11 13:30:56</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1117599.3498614396 2346110.5740128...</td>\n",
              "      <td>[POINT (1117599.3498614396 2346110.5740128793)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3794</th>\n",
              "      <td>430479</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Quinta</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>634485</td>\n",
              "      <td>1364453</td>\n",
              "      <td>608.666977</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2016-07-11 16:20:10</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118069.7921155305 2345760.7635318...</td>\n",
              "      <td>[POINT (1118069.7921155305 2345760.763531851),...</td>\n",
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              "    <tr>\n",
              "      <th>3796</th>\n",
              "      <td>430838</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Quinta</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1364679</td>\n",
              "      <td>1363875</td>\n",
              "      <td>468.830611</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-08 14:36:09</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118269.3821030993 2345867.6298835...</td>\n",
              "      <td>[POINT (1118269.3821030993 2345867.6298835254)...</td>\n",
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              "    <tr>\n",
              "      <th>3797</th>\n",
              "      <td>429506</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Quinta</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1363874</td>\n",
              "      <td>634484</td>\n",
              "      <td>468.952642</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-08 10:59:41</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118698.8240138327 2346054.6942928...</td>\n",
              "      <td>[POINT (1118698.8240138327 2346054.694292896),...</td>\n",
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              "    <tr>\n",
              "      <th>3800</th>\n",
              "      <td>430533</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Tecate - El Sauzal</td>\n",
              "      <td>3</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1363875</td>\n",
              "      <td>1364594</td>\n",
              "      <td>185.883845</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-08 15:00:33</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118701.557122086 2346048.08544942...</td>\n",
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              "    <tr>\n",
              "      <th>3801</th>\n",
              "      <td>429621</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Quinta</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>340787</td>\n",
              "      <td>1363874</td>\n",
              "      <td>196.548557</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-08 11:20:14</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118869.8228015364 2346151.5353980...</td>\n",
              "      <td>[POINT (1118869.8228015364 2346151.535398017),...</td>\n",
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              "    <tr>\n",
              "      <th>3802</th>\n",
              "      <td>432110</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Tecate - El Sauzal</td>\n",
              "      <td>3</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
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              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1364594</td>\n",
              "      <td>340784</td>\n",
              "      <td>12.709423</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-08 14:51:08</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118863.6352640148 2346139.0990741...</td>\n",
              "      <td>[POINT (1118863.6352640148 2346139.0990741835)...</td>\n",
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              "    <tr>\n",
              "      <th>3803</th>\n",
              "      <td>2561203</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Quinta</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>340785</td>\n",
              "      <td>340787</td>\n",
              "      <td>11.814519</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-08 16:02:23</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118880.5807261313 2346146.6517607...</td>\n",
              "      <td>[POINT (1118880.5807261313 2346146.651760752),...</td>\n",
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              "    <tr>\n",
              "      <th>3826</th>\n",
              "      <td>430121</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Quinta</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>341713</td>\n",
              "      <td>1364401</td>\n",
              "      <td>525.090058</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-09 09:56:45</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1117095.1438504115 2346072.9100752...</td>\n",
              "      <td>[POINT (1117095.1438504115 2346072.9100752925)...</td>\n",
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              "    <tr>\n",
              "      <th>3827</th>\n",
              "      <td>430497</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Quinta</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1364453</td>\n",
              "      <td>1751530</td>\n",
              "      <td>290.081263</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2016-09-20 13:00:15</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1117604.0169206362 2346116.7848284...</td>\n",
              "      <td>[POINT (1117604.0169206362 2346116.784828458),...</td>\n",
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              "    <tr>\n",
              "      <th>3825</th>\n",
              "      <td>836758</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Quinta</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1751530</td>\n",
              "      <td>1689683</td>\n",
              "      <td>235.684076</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2016-09-20 10:59:02</td>\n",
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              "      <td>[POINT (1117331.338000913 2346110.8572959034),...</td>\n",
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              "  </tbody>\n",
              "</table>\n",
              "<p>18 rows × 24 columns</p>\n",
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    {
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      "source": [
        "cf_con_ID"
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        "id": "WUX3KIH8I9JS",
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      "execution_count": 93,
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              "       ID_RED  TIPO_VIAL                         NOMBRE CODIGO       COND_PAV  \\\n",
              "0     1176210  Carretera  Punta Prieta - Guerrero Negro      1  Con pavimento   \n",
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              "...       ...        ...                            ...    ...            ...   \n",
              "3802   432110  Carretera             Tecate - El Sauzal      3  Con pavimento   \n",
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              "3827   430497  Carretera                         Quinta    N/D  Con pavimento   \n",
              "3825   836758  Carretera                         Quinta    N/D  Con pavimento   \n",
              "\n",
              "      RECUBRI CARRILES     ESTATUS     CONDICION NIVEL  ... ESCALA_VIS  \\\n",
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              "3825  Asfalto        2  Habilitado  En operación     0  ...          2   \n",
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              "     VELOCIDAD UNION_INI UNION_FIN    LONGITUD ANCHO            FECHA_ACT  \\\n",
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              "      <td>Punta Prieta - Guerrero Negro</td>\n",
              "      <td>1</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>60</td>\n",
              "      <td>1363073</td>\n",
              "      <td>1892703</td>\n",
              "      <td>70.463877</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2017-10-24 10:52:22</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1322620.888 1820231.919, 1322617.6...</td>\n",
              "      <td>[POINT (1322620.8883462609 1820231.9194758113)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>428182</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Punta Prieta - Guerrero Negro</td>\n",
              "      <td>1</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>60</td>\n",
              "      <td>1363161</td>\n",
              "      <td>1362875</td>\n",
              "      <td>525.961935</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2012-10-25 08:52:37</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1322688.810 1819987.566, 1322687.6...</td>\n",
              "      <td>[POINT (1322688.8095223103 1819987.5660965191)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>427858</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Punta Prieta - Guerrero Negro</td>\n",
              "      <td>1</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>1</td>\n",
              "      <td>60</td>\n",
              "      <td>1362662</td>\n",
              "      <td>1363073</td>\n",
              "      <td>262.619599</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2017-10-24 10:56:08</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1322745.568 1820446.445, 1322742.0...</td>\n",
              "      <td>[POINT (1322745.5684726282 1820446.4445461442)...</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",
              "      <td>...</td>\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",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3802</th>\n",
              "      <td>432110</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Tecate - El Sauzal</td>\n",
              "      <td>3</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1364594</td>\n",
              "      <td>340784</td>\n",
              "      <td>12.709423</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-08 14:51:08</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118863.635 2346139.099, 1118875.0...</td>\n",
              "      <td>[POINT (1118863.6352640148 2346139.0990741835)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3803</th>\n",
              "      <td>2561203</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Quinta</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>340785</td>\n",
              "      <td>340787</td>\n",
              "      <td>11.814519</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-08 16:02:23</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1118880.581 2346146.652, 1118869.8...</td>\n",
              "      <td>[POINT (1118880.5807261313 2346146.651760752),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3826</th>\n",
              "      <td>430121</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Quinta</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>341713</td>\n",
              "      <td>1364401</td>\n",
              "      <td>525.090058</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2021-06-09 09:56:45</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1117095.144 2346072.910, 1117100.8...</td>\n",
              "      <td>[POINT (1117095.1438504115 2346072.9100752925)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3827</th>\n",
              "      <td>430497</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Quinta</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1364453</td>\n",
              "      <td>1751530</td>\n",
              "      <td>290.081263</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2016-09-20 13:00:15</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1117604.017 2346116.785, 1117583.9...</td>\n",
              "      <td>[POINT (1117604.0169206362 2346116.784828458),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3825</th>\n",
              "      <td>836758</td>\n",
              "      <td>Carretera</td>\n",
              "      <td>Quinta</td>\n",
              "      <td>N/D</td>\n",
              "      <td>Con pavimento</td>\n",
              "      <td>Asfalto</td>\n",
              "      <td>2</td>\n",
              "      <td>Habilitado</td>\n",
              "      <td>En operación</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>2</td>\n",
              "      <td>60</td>\n",
              "      <td>1751530</td>\n",
              "      <td>1689683</td>\n",
              "      <td>235.684076</td>\n",
              "      <td>6.0</td>\n",
              "      <td>2016-09-20 10:59:02</td>\n",
              "      <td>Definida</td>\n",
              "      <td>LINESTRING (1117331.338 2346110.857, 1117287.8...</td>\n",
              "      <td>[POINT (1117331.338000913 2346110.8572959034),...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>3958 rows × 24 columns</p>\n",
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              "\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "cf_con_ID"
            }
          },
          "metadata": {},
          "execution_count": 93
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "columna1 = 'points'\n",
        "sin_ID_indices = sin_ID.index.tolist()  # Obtener la lista de índices para evitar problemas durante la iteración\n",
        "\n",
        "while sin_ID.shape[0] > 0:  # Continuar mientras haya filas en sin_ID\n",
        "    for idx in sin_ID_indices:\n",
        "        if idx not in sin_ID.index:\n",
        "            continue  # Saltar si la fila ya fue eliminada\n",
        "\n",
        "        row = sin_ID.loc[idx]\n",
        "        match_found = False\n",
        "\n",
        "        for i, points_list in cf_con_ID[columna1].items():\n",
        "            for point in row[columna1]:  # Iterar sobre cada punto en la lista de puntos\n",
        "                if any(point.equals(p) for p in points_list):  # Comparar cada punto\n",
        "                    # Obtener los valores de 'NOMBRE' y 'CODIGO' de cf_con_ID\n",
        "                    nombre_nuevo = cf_con_ID.loc[i, 'NOMBRE']\n",
        "                    codigo_nuevo = cf_con_ID.loc[i, 'CODIGO']\n",
        "\n",
        "                    # Actualizar sin_ID con los valores nuevos\n",
        "                    sin_ID.at[idx, 'NOMBRE'] = nombre_nuevo\n",
        "                    sin_ID.at[idx, 'CODIGO'] = codigo_nuevo\n",
        "\n",
        "                    # Copiar toda la fila de sin_ID\n",
        "                    nueva_fila = row.copy()\n",
        "                    # Modificar solo las columnas necesarias\n",
        "                    nueva_fila['NOMBRE'] = nombre_nuevo\n",
        "                    nueva_fila['CODIGO'] = codigo_nuevo\n",
        "\n",
        "                    # Agregar la fila actualizada a cf_con_ID\n",
        "                    cf_con_ID = pd.concat([cf_con_ID, nueva_fila.to_frame().T])\n",
        "                    nuevos_ID = pd.concat([nuevos_ID, nueva_fila.to_frame().T])\n",
        "\n",
        "                    # Eliminar la fila de sin_ID inmediatamente\n",
        "                    sin_ID.drop(idx, inplace=True)\n",
        "                    match_found = True\n",
        "                    break  # Salir del bucle si se encontró una coincidencia\n",
        "            if match_found:\n",
        "                break\n",
        "\n",
        "        # Recalcular los índices para asegurarse de que el ciclo while esté actualizado\n",
        "        sin_ID_indices = sin_ID.index.tolist()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UDmKVWiHL1rW",
        "outputId": "f128155e-fbc6-48c4-eb61-c376d47bae88"
      },
      "execution_count": 90,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n",
            "<ipython-input-90-6d2f6024be93>:34: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  sin_ID.drop(idx, inplace=True)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# quitar todas las columnas menos NOMBRE ,CODIGO,ID_RED,geometry\n",
        "\n",
        "cf_con_ID = cf_con_ID[['NOMBRE', 'CODIGO', 'ID_RED', 'geometry']]\n"
      ],
      "metadata": {
        "id": "C2Rpxa7FL2Qh"
      },
      "execution_count": 94,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cf_con_ID = cf_con_ID.dissolve(\n",
        "     by=['NOMBRE','CODIGO'],\n",
        "     aggfunc={\n",
        "         'ID_RED' : 'count'\n",
        "     },\n",
        " )"
      ],
      "metadata": {
        "id": "J5MxbzE3L2Qi"
      },
      "execution_count": 95,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cf_con_ID"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "hgV5Uq9hL5Mg",
        "outputId": "b8291292-22e0-40e3-ae28-b76ee0279f48"
      },
      "execution_count": 96,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                                                             geometry  \\\n",
              "NOMBRE                                      CODIGO                                                      \n",
              "Autopista Tijuana - Ensenada                1       MULTILINESTRING ((1107753.948 2270854.396, 110...   \n",
              "Camino a Molino Viejo                       N/D     MULTILINESTRING ((1158900.946 2111822.768, 115...   \n",
              "El Sauzal - Guadalupe                       3       MULTILINESTRING ((1104253.528 2275455.709, 110...   \n",
              "Ensenada - El Chinero                       3       MULTILINESTRING ((1192562.447 2210216.929, 119...   \n",
              "Ensenada - Ent. Ojos Negros                 3       MULTILINESTRING ((1115122.698 2270386.153, 111...   \n",
              "Ensenada - Lázaro Cárdenas                  1       MULTILINESTRING ((1162025.413 2117264.520, 116...   \n",
              "Escénica Tijuana - Ensenada                 1       MULTILINESTRING ((1077683.974 2320707.473, 107...   \n",
              "Héroes de la Independencia - San Matías     3       MULTILINESTRING ((1208333.817 2201139.711, 120...   \n",
              "Libramiento Mexicali                        2       MULTILINESTRING ((1235115.795 2333179.712, 123...   \n",
              "Lázaro Cárdenas - Punta Prieta              1       MULTILINESTRING ((1318741.920 1936231.895, 131...   \n",
              "Mexicali - San Felipe                       5       MULTILINESTRING ((1267771.631 2168668.507, 126...   \n",
              "Mexicali - Tijuana                          2       MULTILINESTRING ((1162766.303 2333726.851, 116...   \n",
              "Ojos Negros - Héroes de la Independencia    3       MULTILINESTRING ((1178449.416 2235023.313, 117...   \n",
              "Parador Punta Prieta - Bahía de los Ángeles 1       MULTILINESTRING ((1375476.956 1921766.722, 137...   \n",
              "Primera                                     N/D     LINESTRING (1117592.633 2345590.060, 1117534.6...   \n",
              "Punta Prieta - Guerrero Negro               1       MULTILINESTRING ((1322597.250 1820024.019, 132...   \n",
              "Quinta                                      N/D     MULTILINESTRING ((1117742.854 2345618.210, 111...   \n",
              "Ramal a Aeropuerto de Mexicali              2       MULTILINESTRING ((1249063.106 2342438.792, 124...   \n",
              "Ramal a Hotel Presidente                    N/D     MULTILINESTRING ((1162835.507 2101636.386, 116...   \n",
              "Ramal a Observatorio San Pedro Mártir       N/D     MULTILINESTRING ((1198150.614 2161236.717, 119...   \n",
              "Ramal a Santa María                         1       MULTILINESTRING ((1166693.384 2100201.059, 116...   \n",
              "Ramal a Santa Rosalillita                   N/D     MULTILINESTRING ((1307575.835 1895988.810, 130...   \n",
              "San Felipe - Laguana Chapala                5       MULTILINESTRING ((1284328.010 2052555.006, 128...   \n",
              "San Felipe - Laguna Chapala                 5       MULTILINESTRING ((1304995.090 1984083.659, 130...   \n",
              "San Felipe - Puertecitos                    5       MULTILINESTRING ((1274420.938 2155234.312, 127...   \n",
              "San Luis Río Colorado - Mexicali            2       MULTILINESTRING ((1262346.112 2332772.656, 126...   \n",
              "San Matías - Ent. El Chinero                3       MULTILINESTRING ((1228831.628 2193480.614, 122...   \n",
              "Sonoita - Mexicali                          2       MULTILINESTRING ((1288746.311 2323809.521, 128...   \n",
              "Tecate - El Sauzal                          3       MULTILINESTRING ((1121233.036 2297132.806, 112...   \n",
              "Tecate - Ensenada                           3       MULTILINESTRING ((1123197.484 2337775.424, 112...   \n",
              "Tecate- Ensenada                            3       MULTILINESTRING ((1119698.525 2295455.789, 111...   \n",
              "Tijuana - Ensenada                          1       MULTILINESTRING ((1101685.382 2276701.147, 110...   \n",
              "Tijuana - Rosarito                          1       MULTILINESTRING ((1075837.181 2330970.216, 107...   \n",
              "Tijuana - San Miguel                        1       MULTILINESTRING ((1101267.781 2275681.700, 110...   \n",
              "Valle de las Palmas - Universidad           N/D     MULTILINESTRING ((1117063.183 2326774.029, 111...   \n",
              "\n",
              "                                                    ID_RED  \n",
              "NOMBRE                                      CODIGO          \n",
              "Autopista Tijuana - Ensenada                1           33  \n",
              "Camino a Molino Viejo                       N/D         16  \n",
              "El Sauzal - Guadalupe                       3          150  \n",
              "Ensenada - El Chinero                       3            9  \n",
              "Ensenada - Ent. Ojos Negros                 3           76  \n",
              "Ensenada - Lázaro Cárdenas                  1          464  \n",
              "Escénica Tijuana - Ensenada                 1           67  \n",
              "Héroes de la Independencia - San Matías     3           49  \n",
              "Libramiento Mexicali                        2           39  \n",
              "Lázaro Cárdenas - Punta Prieta              1          210  \n",
              "Mexicali - San Felipe                       5          468  \n",
              "Mexicali - Tijuana                          2          766  \n",
              "Ojos Negros - Héroes de la Independencia    3           53  \n",
              "Parador Punta Prieta - Bahía de los Ángeles 1           64  \n",
              "Primera                                     N/D          1  \n",
              "Punta Prieta - Guerrero Negro               1           70  \n",
              "Quinta                                      N/D         14  \n",
              "Ramal a Aeropuerto de Mexicali              2           50  \n",
              "Ramal a Hotel Presidente                    N/D         13  \n",
              "Ramal a Observatorio San Pedro Mártir       N/D         50  \n",
              "Ramal a Santa María                         1           29  \n",
              "Ramal a Santa Rosalillita                   N/D          7  \n",
              "San Felipe - Laguana Chapala                5            4  \n",
              "San Felipe - Laguna Chapala                 5          243  \n",
              "San Felipe - Puertecitos                    5            6  \n",
              "San Luis Río Colorado - Mexicali            2           16  \n",
              "San Matías - Ent. El Chinero                3           29  \n",
              "Sonoita - Mexicali                          2          312  \n",
              "Tecate - El Sauzal                          3          162  \n",
              "Tecate - Ensenada                           3           13  \n",
              "Tecate- Ensenada                            3            5  \n",
              "Tijuana - Ensenada                          1          235  \n",
              "Tijuana - Rosarito                          1           39  \n",
              "Tijuana - San Miguel                        1          157  \n",
              "Valle de las Palmas - Universidad           N/D         39  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-132405de-bb40-443e-9085-7b1d3f6f3708\" 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></th>\n",
              "      <th>geometry</th>\n",
              "      <th>ID_RED</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NOMBRE</th>\n",
              "      <th>CODIGO</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Autopista Tijuana - Ensenada</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1107753.948 2270854.396, 110...</td>\n",
              "      <td>33</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Camino a Molino Viejo</th>\n",
              "      <th>N/D</th>\n",
              "      <td>MULTILINESTRING ((1158900.946 2111822.768, 115...</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>El Sauzal - Guadalupe</th>\n",
              "      <th>3</th>\n",
              "      <td>MULTILINESTRING ((1104253.528 2275455.709, 110...</td>\n",
              "      <td>150</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ensenada - El Chinero</th>\n",
              "      <th>3</th>\n",
              "      <td>MULTILINESTRING ((1192562.447 2210216.929, 119...</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ensenada - Ent. Ojos Negros</th>\n",
              "      <th>3</th>\n",
              "      <td>MULTILINESTRING ((1115122.698 2270386.153, 111...</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ensenada - Lázaro Cárdenas</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1162025.413 2117264.520, 116...</td>\n",
              "      <td>464</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Escénica Tijuana - Ensenada</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1077683.974 2320707.473, 107...</td>\n",
              "      <td>67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Héroes de la Independencia - San Matías</th>\n",
              "      <th>3</th>\n",
              "      <td>MULTILINESTRING ((1208333.817 2201139.711, 120...</td>\n",
              "      <td>49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Libramiento Mexicali</th>\n",
              "      <th>2</th>\n",
              "      <td>MULTILINESTRING ((1235115.795 2333179.712, 123...</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lázaro Cárdenas - Punta Prieta</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1318741.920 1936231.895, 131...</td>\n",
              "      <td>210</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mexicali - San Felipe</th>\n",
              "      <th>5</th>\n",
              "      <td>MULTILINESTRING ((1267771.631 2168668.507, 126...</td>\n",
              "      <td>468</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mexicali - Tijuana</th>\n",
              "      <th>2</th>\n",
              "      <td>MULTILINESTRING ((1162766.303 2333726.851, 116...</td>\n",
              "      <td>766</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ojos Negros - Héroes de la Independencia</th>\n",
              "      <th>3</th>\n",
              "      <td>MULTILINESTRING ((1178449.416 2235023.313, 117...</td>\n",
              "      <td>53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Parador Punta Prieta - Bahía de los Ángeles</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1375476.956 1921766.722, 137...</td>\n",
              "      <td>64</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Primera</th>\n",
              "      <th>N/D</th>\n",
              "      <td>LINESTRING (1117592.633 2345590.060, 1117534.6...</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Punta Prieta - Guerrero Negro</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1322597.250 1820024.019, 132...</td>\n",
              "      <td>70</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Quinta</th>\n",
              "      <th>N/D</th>\n",
              "      <td>MULTILINESTRING ((1117742.854 2345618.210, 111...</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ramal a Aeropuerto de Mexicali</th>\n",
              "      <th>2</th>\n",
              "      <td>MULTILINESTRING ((1249063.106 2342438.792, 124...</td>\n",
              "      <td>50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ramal a Hotel Presidente</th>\n",
              "      <th>N/D</th>\n",
              "      <td>MULTILINESTRING ((1162835.507 2101636.386, 116...</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ramal a Observatorio San Pedro Mártir</th>\n",
              "      <th>N/D</th>\n",
              "      <td>MULTILINESTRING ((1198150.614 2161236.717, 119...</td>\n",
              "      <td>50</td>\n",
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              "    <tr>\n",
              "      <th>Ramal a Santa María</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1166693.384 2100201.059, 116...</td>\n",
              "      <td>29</td>\n",
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              "    <tr>\n",
              "      <th>Ramal a Santa Rosalillita</th>\n",
              "      <th>N/D</th>\n",
              "      <td>MULTILINESTRING ((1307575.835 1895988.810, 130...</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>San Felipe - Laguana Chapala</th>\n",
              "      <th>5</th>\n",
              "      <td>MULTILINESTRING ((1284328.010 2052555.006, 128...</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>San Felipe - Laguna Chapala</th>\n",
              "      <th>5</th>\n",
              "      <td>MULTILINESTRING ((1304995.090 1984083.659, 130...</td>\n",
              "      <td>243</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>San Felipe - Puertecitos</th>\n",
              "      <th>5</th>\n",
              "      <td>MULTILINESTRING ((1274420.938 2155234.312, 127...</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>San Luis Río Colorado - Mexicali</th>\n",
              "      <th>2</th>\n",
              "      <td>MULTILINESTRING ((1262346.112 2332772.656, 126...</td>\n",
              "      <td>16</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>San Matías - Ent. El Chinero</th>\n",
              "      <th>3</th>\n",
              "      <td>MULTILINESTRING ((1228831.628 2193480.614, 122...</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sonoita - Mexicali</th>\n",
              "      <th>2</th>\n",
              "      <td>MULTILINESTRING ((1288746.311 2323809.521, 128...</td>\n",
              "      <td>312</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tecate - El Sauzal</th>\n",
              "      <th>3</th>\n",
              "      <td>MULTILINESTRING ((1121233.036 2297132.806, 112...</td>\n",
              "      <td>162</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tecate - Ensenada</th>\n",
              "      <th>3</th>\n",
              "      <td>MULTILINESTRING ((1123197.484 2337775.424, 112...</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tecate- Ensenada</th>\n",
              "      <th>3</th>\n",
              "      <td>MULTILINESTRING ((1119698.525 2295455.789, 111...</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tijuana - Ensenada</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1101685.382 2276701.147, 110...</td>\n",
              "      <td>235</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tijuana - Rosarito</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1075837.181 2330970.216, 107...</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tijuana - San Miguel</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1101267.781 2275681.700, 110...</td>\n",
              "      <td>157</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Valle de las Palmas - Universidad</th>\n",
              "      <th>N/D</th>\n",
              "      <td>MULTILINESTRING ((1117063.183 2326774.029, 111...</td>\n",
              "      <td>39</td>\n",
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            }
          },
          "metadata": {},
          "execution_count": 96
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cf_con_ID.loc['Quinta'].plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 268
        },
        "id": "HKKGG_w8MDR-",
        "outputId": "a09d5b73-97a8-41a1-918a-792311a0709c"
      },
      "execution_count": 97,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 97
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sin_ID.loc[sin_ID['NOMBRE']!='N/D']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 99
        },
        "id": "WC2GIO7qkDd9",
        "outputId": "51051c9f-8814-4aa1-93b1-71082a6f9026"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Empty GeoDataFrame\n",
              "Columns: [ID_RED, TIPO_VIAL, NOMBRE, CODIGO, COND_PAV, RECUBRI, CARRILES, ESTATUS, CONDICION, NIVEL, PEAJE, ADMINISTRA, JURISDI, CIRCULA, ESCALA_VIS, VELOCIDAD, UNION_INI, UNION_FIN, LONGITUD, ANCHO, FECHA_ACT, CALIREPR, geometry, points]\n",
              "Index: []\n",
              "\n",
              "[0 rows x 24 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-0fa65bf0-32de-4de4-a651-08a004019552\" 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>ID_RED</th>\n",
              "      <th>TIPO_VIAL</th>\n",
              "      <th>NOMBRE</th>\n",
              "      <th>CODIGO</th>\n",
              "      <th>COND_PAV</th>\n",
              "      <th>RECUBRI</th>\n",
              "      <th>CARRILES</th>\n",
              "      <th>ESTATUS</th>\n",
              "      <th>CONDICION</th>\n",
              "      <th>NIVEL</th>\n",
              "      <th>...</th>\n",
              "      <th>ESCALA_VIS</th>\n",
              "      <th>VELOCIDAD</th>\n",
              "      <th>UNION_INI</th>\n",
              "      <th>UNION_FIN</th>\n",
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              "      <th>ANCHO</th>\n",
              "      <th>FECHA_ACT</th>\n",
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              "NOMBRE                                      CODIGO                                                     \n",
              "Autopista Tijuana - Ensenada                1       [POINT (1107753.9479031267 2270854.3957965104)...  \n",
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              "Tijuana - San Miguel                        1       [POINT (1101267.781386946 2275681.699547362), ...  \n",
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              "      <td>MULTILINESTRING ((1115122.698 2270386.153, 111...</td>\n",
              "      <td>76.0</td>\n",
              "      <td>[POINT (1115122.698346028 2270386.152723046), ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ensenada - Lázaro Cárdenas</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1162025.413 2117264.520, 116...</td>\n",
              "      <td>464.0</td>\n",
              "      <td>[POINT (1162025.412562298 2117264.519965968), ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Escénica Tijuana - Ensenada</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1077683.974 2320707.473, 107...</td>\n",
              "      <td>67.0</td>\n",
              "      <td>[POINT (1077683.974315717 2320707.4731537574),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Héroes de la Independencia - San Matías</th>\n",
              "      <th>3</th>\n",
              "      <td>MULTILINESTRING ((1208333.817 2201139.711, 120...</td>\n",
              "      <td>49.0</td>\n",
              "      <td>[POINT (1208333.8170791387 2201139.7109771213)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Libramiento Mexicali</th>\n",
              "      <th>2</th>\n",
              "      <td>MULTILINESTRING ((1235115.795 2333179.712, 123...</td>\n",
              "      <td>39.0</td>\n",
              "      <td>[POINT (1235115.795498298 2333179.7115176823),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lázaro Cárdenas - Punta Prieta</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1318741.920 1936231.895, 131...</td>\n",
              "      <td>210.0</td>\n",
              "      <td>[POINT (1318741.92029396 1936231.8952853011), ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mexicali - San Felipe</th>\n",
              "      <th>5</th>\n",
              "      <td>MULTILINESTRING ((1267771.631 2168668.507, 126...</td>\n",
              "      <td>468.0</td>\n",
              "      <td>[POINT (1267771.6305092718 2168668.507264686),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Mexicali - Tijuana</th>\n",
              "      <th>2</th>\n",
              "      <td>MULTILINESTRING ((1162766.303 2333726.851, 116...</td>\n",
              "      <td>766.0</td>\n",
              "      <td>[POINT (1162766.3025436641 2333726.851033234),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ojos Negros - Héroes de la Independencia</th>\n",
              "      <th>3</th>\n",
              "      <td>MULTILINESTRING ((1178449.416 2235023.313, 117...</td>\n",
              "      <td>53.0</td>\n",
              "      <td>[POINT (1178449.4160170231 2235023.312671788),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Parador Punta Prieta - Bahía de los Ángeles</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1375476.956 1921766.722, 137...</td>\n",
              "      <td>64.0</td>\n",
              "      <td>[POINT (1375476.955643087 1921766.721566918), ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Primera</th>\n",
              "      <th>N/D</th>\n",
              "      <td>LINESTRING (1117592.633 2345590.060, 1117534.6...</td>\n",
              "      <td>1.0</td>\n",
              "      <td>[POINT (1117592.6331992103 2345590.0599538647)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Punta Prieta - Guerrero Negro</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1322597.250 1820024.019, 132...</td>\n",
              "      <td>69.0</td>\n",
              "      <td>[POINT (1322597.2501115561 1820024.0186989845)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Quinta</th>\n",
              "      <th>N/D</th>\n",
              "      <td>MULTILINESTRING ((1117742.854 2345618.210, 111...</td>\n",
              "      <td>3.0</td>\n",
              "      <td>[POINT (1117742.8538780778 2345618.209801212),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ramal a Aeropuerto de Mexicali</th>\n",
              "      <th>2</th>\n",
              "      <td>MULTILINESTRING ((1249063.106 2342438.792, 124...</td>\n",
              "      <td>50.0</td>\n",
              "      <td>[POINT (1249063.1058013744 2342438.791915255),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ramal a Hotel Presidente</th>\n",
              "      <th>N/D</th>\n",
              "      <td>MULTILINESTRING ((1162835.507 2101636.386, 116...</td>\n",
              "      <td>13.0</td>\n",
              "      <td>[POINT (1162835.5071881402 2101636.3861354603)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ramal a Observatorio San Pedro Mártir</th>\n",
              "      <th>N/D</th>\n",
              "      <td>MULTILINESTRING ((1198150.614 2161236.717, 119...</td>\n",
              "      <td>49.0</td>\n",
              "      <td>[POINT (1198150.6139432197 2161236.7173909503)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ramal a Santa María</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1166693.384 2100201.059, 116...</td>\n",
              "      <td>29.0</td>\n",
              "      <td>[POINT (1166693.383872341 2100201.058972488), ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ramal a Santa Rosalillita</th>\n",
              "      <th>N/D</th>\n",
              "      <td>MULTILINESTRING ((1307575.835 1895988.810, 130...</td>\n",
              "      <td>7.0</td>\n",
              "      <td>[POINT (1307575.8351497655 1895988.810016549),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>San Felipe - Laguana Chapala</th>\n",
              "      <th>5</th>\n",
              "      <td>MULTILINESTRING ((1284328.010 2052555.006, 128...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>[POINT (1284328.010000758 2052555.005912174), ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>San Felipe - Laguna Chapala</th>\n",
              "      <th>5</th>\n",
              "      <td>MULTILINESTRING ((1304995.090 1984083.659, 130...</td>\n",
              "      <td>243.0</td>\n",
              "      <td>[POINT (1304995.0897277757 1984083.6590276673)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>San Felipe - Puertecitos</th>\n",
              "      <th>5</th>\n",
              "      <td>MULTILINESTRING ((1274420.938 2155234.312, 127...</td>\n",
              "      <td>6.0</td>\n",
              "      <td>[POINT (1274420.938268457 2155234.3118427987),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>San Luis Río Colorado - Mexicali</th>\n",
              "      <th>2</th>\n",
              "      <td>MULTILINESTRING ((1262346.112 2332772.656, 126...</td>\n",
              "      <td>16.0</td>\n",
              "      <td>[POINT (1262346.111615654 2332772.656082128), ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>San Matías - Ent. El Chinero</th>\n",
              "      <th>3</th>\n",
              "      <td>MULTILINESTRING ((1228831.628 2193480.614, 122...</td>\n",
              "      <td>29.0</td>\n",
              "      <td>[POINT (1228831.6277182235 2193480.614450906),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sonoita - Mexicali</th>\n",
              "      <th>2</th>\n",
              "      <td>MULTILINESTRING ((1288746.311 2323809.521, 128...</td>\n",
              "      <td>309.0</td>\n",
              "      <td>[POINT (1288746.3107280126 2323809.5207444225)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tecate - El Sauzal</th>\n",
              "      <th>3</th>\n",
              "      <td>MULTILINESTRING ((1121233.036 2297132.806, 112...</td>\n",
              "      <td>160.0</td>\n",
              "      <td>[POINT (1121233.0361540513 2297132.8062313884)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tecate - Ensenada</th>\n",
              "      <th>3</th>\n",
              "      <td>MULTILINESTRING ((1123197.484 2337775.424, 112...</td>\n",
              "      <td>13.0</td>\n",
              "      <td>[POINT (1123197.4841645618 2337775.4237692244)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tecate- Ensenada</th>\n",
              "      <th>3</th>\n",
              "      <td>MULTILINESTRING ((1119698.525 2295455.789, 111...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>[POINT (1119698.5254396948 2295455.7886518594)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tijuana - Ensenada</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1101685.382 2276701.147, 110...</td>\n",
              "      <td>235.0</td>\n",
              "      <td>[POINT (1101685.3822708332 2276701.1465055626)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tijuana - Rosarito</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1075837.181 2330970.216, 107...</td>\n",
              "      <td>39.0</td>\n",
              "      <td>[POINT (1075837.1808515561 2330970.215938035),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tijuana - San Miguel</th>\n",
              "      <th>1</th>\n",
              "      <td>MULTILINESTRING ((1101267.781 2275681.700, 110...</td>\n",
              "      <td>157.0</td>\n",
              "      <td>[POINT (1101267.781386946 2275681.699547362), ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Valle de las Palmas - Universidad</th>\n",
              "      <th>N/D</th>\n",
              "      <td>MULTILINESTRING ((1117063.183 2326774.029, 111...</td>\n",
              "      <td>39.0</td>\n",
              "      <td>[POINT (1117063.1829776093 2326774.028579889),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Punta Prieta - Guerrero Negro</th>\n",
              "      <th>1</th>\n",
              "      <td>LINESTRING (1322620.888 1820231.919, 1322600.6...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1322620.8883462609 1820231.9194758113)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ramal a Observatorio San Pedro Mártir</th>\n",
              "      <th>N/D</th>\n",
              "      <td>LINESTRING (1202946.447 2164585.362, 1202967.9...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1202946.4471782038 2164585.3616898325)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">Sonoita - Mexicali</th>\n",
              "      <th>2</th>\n",
              "      <td>LINESTRING (1286086.893 2325056.798, 1286088.9...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1286086.893411562 2325056.7982624695),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>LINESTRING (1286088.919 2325061.093, 1286090.9...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1286088.9187007472 2325061.092992882),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>LINESTRING (1286090.966 2325065.435, 1286091.9...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1286090.9660842984 2325065.434852066),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"8\" valign=\"top\">Quinta</th>\n",
              "      <th>N/D</th>\n",
              "      <td>LINESTRING (1118069.792 2345760.764, 1118081.8...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1118069.7921155305 2345760.763531851),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>N/D</th>\n",
              "      <td>LINESTRING (1118266.749 2345873.621, 1118263.6...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1118266.7488281038 2345873.621270108),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>N/D</th>\n",
              "      <td>LINESTRING (1117599.350 2346110.574, 1117627.3...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1117599.3498614396 2346110.5740128793)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>N/D</th>\n",
              "      <td>LINESTRING (1118069.792 2345760.764, 1118062.8...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1118069.7921155305 2345760.763531851),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>N/D</th>\n",
              "      <td>LINESTRING (1118269.382 2345867.630, 1118274.7...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1118269.3821030993 2345867.6298835254)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>N/D</th>\n",
              "      <td>LINESTRING (1118698.824 2346054.694, 1118680.1...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1118698.8240138327 2346054.694292896),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>N/D</th>\n",
              "      <td>LINESTRING (1118701.557 2346048.085, 1118863.6...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1118701.557122086 2346048.085449424), ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>N/D</th>\n",
              "      <td>LINESTRING (1118869.823 2346151.535, 1118765.1...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1118869.8228015364 2346151.535398017),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Tecate - El Sauzal</th>\n",
              "      <th>3</th>\n",
              "      <td>LINESTRING (1118863.635 2346139.099, 1118875.0...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1118863.6352640148 2346139.0990741835)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">Quinta</th>\n",
              "      <th>N/D</th>\n",
              "      <td>LINESTRING (1118880.581 2346146.652, 1118869.8...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1118880.5807261313 2346146.651760752),...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>N/D</th>\n",
              "      <td>LINESTRING (1117095.144 2346072.910, 1117100.8...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1117095.1438504115 2346072.9100752925)...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>N/D</th>\n",
              "      <td>LINESTRING (1117604.017 2346116.785, 1117583.9...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[POINT (1117604.0169206362 2346116.784828458),...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
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              "  .colab-df-quickchart-complete:disabled,\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "      .colab-df-generate:hover {\n",
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              "\n",
              "      [theme=dark] .colab-df-generate {\n",
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              "        fill: #D2E3FC;\n",
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              "      [theme=dark] .colab-df-generate:hover {\n",
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\"ID_RED\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 166.4316297912088,\n        \"min\": 1.0,\n        \"max\": 766.0,\n        \"num_unique_values\": 29,\n        \"samples\": [\n          235.0,\n          3.0,\n          53.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"points\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "bccf.plot()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 481
        },
        "id": "efla7Wyh6ieq",
        "outputId": "8a5d4fab-bfb4-4ca3-a569-4ea17f950d53"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 4
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def extract_points(geom):\n",
        "    if geom.geom_type == 'MultiLineString':\n",
        "        points = []\n",
        "        for line in geom:\n",
        "            points.extend(list(line.coords))\n",
        "        return points\n",
        "    elif geom.geom_type == 'LineString':\n",
        "        return list(geom.coords)\n",
        "    else:\n",
        "        return []\n",
        "\n"
      ],
      "metadata": {
        "id": "_y17bVs36ocm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "bccf=bccf.loc[bccf['NOMBRE']=='Punta Prieta - Guerrero Negro']"
      ],
      "metadata": {
        "id": "irrh3IdCKI-_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "bccf['points'] = bccf['geometry'].apply(extract_points)"
      ],
      "metadata": {
        "id": "KLLvIq6a6vSp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "bccf"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 964
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              "       ID_RED  TIPO_VIAL                         NOMBRE CODIGO       COND_PAV  \\\n",
              "0     1176210  Carretera  Punta Prieta - Guerrero Negro      1  Con pavimento   \n",
              "1     1176208  Carretera  Punta Prieta - Guerrero Negro      1  Con pavimento   \n",
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              "4     1176212  Carretera                            N/D    N/D  Con pavimento   \n",
              "...       ...        ...                            ...    ...            ...   \n",
              "3953   429540  Carretera    Escénica Tijuana - Ensenada      1  Con pavimento   \n",
              "3954  2558726  Carretera    Escénica Tijuana - Ensenada      1  Con pavimento   \n",
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              "3956   677776  Carretera    Escénica Tijuana - Ensenada      1  Con pavimento   \n",
              "3957   677773  Carretera    Escénica Tijuana - Ensenada      1  Con pavimento   \n",
              "\n",
              "       RECUBRI CARRILES     ESTATUS     CONDICION  NIVEL  ... ESCALA_VIS  \\\n",
              "0      Asfalto        2  Habilitado  En operación      0  ...          1   \n",
              "1      Asfalto        2  Habilitado  En operación      0  ...          1   \n",
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              "3      Asfalto        2  Habilitado  En operación      0  ...          1   \n",
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              "3953   Asfalto        2  Habilitado  En operación      1  ...          1   \n",
              "3954   Asfalto        2  Habilitado  En operación      1  ...          1   \n",
              "3955   Asfalto        2  Habilitado  En operación      0  ...          1   \n",
              "3956   Asfalto        2  Habilitado  En operación      0  ...          1   \n",
              "3957   Asfalto        2  Habilitado  En operación      0  ...          1   \n",
              "\n",
              "     VELOCIDAD UNION_INI UNION_FIN    LONGITUD ANCHO            FECHA_ACT  \\\n",
              "0           60   1892704   1366450   36.778849   6.0  2017-10-24 15:28:51   \n",
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              "3957        80   1364713    375928  253.231338   6.0  2023-05-31 23:23:33   \n",
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              "        document.querySelector('#df-15b333d7-e1d2-4201-8146-74db93efb1ba 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-15b333d7-e1d2-4201-8146-74db93efb1ba');\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",
              "\n",
              "\n",
              "<div id=\"df-2e030025-8b77-49d1-9d99-f5dd12b1d636\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2e030025-8b77-49d1-9d99-f5dd12b1d636')\"\n",
              "            title=\"Suggest charts\"\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",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-2e030025-8b77-49d1-9d99-f5dd12b1d636 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_e9883c65-9828-4595-afc4-c0dc7f602b98\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('bccf')\"\n",
              "            title=\"Generate code using this dataframe.\"\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=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_e9883c65-9828-4595-afc4-c0dc7f602b98 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('bccf');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "bccf"
            }
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Crear un DataFrame separado para los puntos\n",
        "points = bccf['points'].explode().apply(lambda point: {'x': point[0], 'y': point[1]})\n",
        "points_gdf = gpd.GeoDataFrame(points.tolist(), geometry=gpd.points_from_xy(points.apply(lambda p: p['x']), points.apply(lambda p: p['y'])))\n",
        "\n"
      ],
      "metadata": {
        "id": "I4WZtOA8670K"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Ploteo de la geometría y los puntos\n",
        "fig, ax = plt.subplots(figsize=(25, 50))\n",
        "#bccf.plot(ax=ax, color='blue', linewidth=2)\n",
        "points_gdf.plot(ax=ax, color='red',marker='o', markersize=6)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "-YvLhgm29tI0",
        "outputId": "ba5846ae-7081-42c0-c578-04bfd227484f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2500x5000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "points_gdf"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "maEpjsjoKiHK",
        "outputId": "f131f538-c0f8-4699-f7ee-086d19d79b0c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                 x             y                         geometry\n",
              "0     1.322597e+06  1.820024e+06  POINT (1322597.250 1820024.019)\n",
              "1     1.322607e+06  1.820010e+06  POINT (1322607.211 1820010.305)\n",
              "2     1.322612e+06  1.820002e+06  POINT (1322611.992 1820001.682)\n",
              "3     1.322618e+06  1.819994e+06  POINT (1322617.735 1819993.533)\n",
              "4     1.322611e+06  1.820162e+06  POINT (1322611.366 1820162.106)\n",
              "...            ...           ...                              ...\n",
              "1235  1.318779e+06  1.931404e+06  POINT (1318778.811 1931404.021)\n",
              "1236  1.318743e+06  1.931356e+06  POINT (1318743.487 1931355.796)\n",
              "1237  1.318742e+06  1.936232e+06  POINT (1318741.920 1936231.895)\n",
              "1238  1.318744e+06  1.936207e+06  POINT (1318744.173 1936206.533)\n",
              "1239  1.318748e+06  1.936106e+06  POINT (1318748.365 1936106.281)\n",
              "\n",
              "[1240 rows x 3 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-77169f02-3027-455a-a9bf-485130e6d0a8\" 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>x</th>\n",
              "      <th>y</th>\n",
              "      <th>geometry</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.322597e+06</td>\n",
              "      <td>1.820024e+06</td>\n",
              "      <td>POINT (1322597.250 1820024.019)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1.322607e+06</td>\n",
              "      <td>1.820010e+06</td>\n",
              "      <td>POINT (1322607.211 1820010.305)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1.322612e+06</td>\n",
              "      <td>1.820002e+06</td>\n",
              "      <td>POINT (1322611.992 1820001.682)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.322618e+06</td>\n",
              "      <td>1.819994e+06</td>\n",
              "      <td>POINT (1322617.735 1819993.533)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1.322611e+06</td>\n",
              "      <td>1.820162e+06</td>\n",
              "      <td>POINT (1322611.366 1820162.106)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1235</th>\n",
              "      <td>1.318779e+06</td>\n",
              "      <td>1.931404e+06</td>\n",
              "      <td>POINT (1318778.811 1931404.021)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1236</th>\n",
              "      <td>1.318743e+06</td>\n",
              "      <td>1.931356e+06</td>\n",
              "      <td>POINT (1318743.487 1931355.796)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1237</th>\n",
              "      <td>1.318742e+06</td>\n",
              "      <td>1.936232e+06</td>\n",
              "      <td>POINT (1318741.920 1936231.895)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1238</th>\n",
              "      <td>1.318744e+06</td>\n",
              "      <td>1.936207e+06</td>\n",
              "      <td>POINT (1318744.173 1936206.533)</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1239</th>\n",
              "      <td>1.318748e+06</td>\n",
              "      <td>1.936106e+06</td>\n",
              "      <td>POINT (1318748.365 1936106.281)</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1240 rows × 3 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
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              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "        const element = document.querySelector('#df-77169f02-3027-455a-a9bf-485130e6d0a8');\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",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
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              "\n",
              "<style>\n",
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              "      --bg-color: #E8F0FE;\n",
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              "      --hover-bg-color: #E2EBFA;\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
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              "      --disabled-fill-color: #666;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
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              "    display: none;\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
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              "      border-left-color: var(--fill-color);\n",
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              "    30% {\n",
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              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-27e428e4-b95f-438e-8c94-091f48e0e33a button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_152ee66a-da79-4b2a-83a5-4549f7c66fbc\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('points_gdf')\"\n",
              "            title=\"Generate code using this dataframe.\"\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=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_152ee66a-da79-4b2a-83a5-4549f7c66fbc button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('points_gdf');\n",
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              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "points_gdf",
              "summary": "{\n  \"name\": \"points_gdf\",\n  \"rows\": 1240,\n  \"fields\": [\n    {\n      \"column\": \"x\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3428.4679209927945,\n        \"min\": 1316846.4003529004,\n        \"max\": 1328943.244432223,\n        \"num_unique_values\": 1171,\n        \"samples\": [\n          1325248.8607242326,\n          1326526.0591733416,\n          1322438.3587777142\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"y\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 32219.020875378785,\n        \"min\": 1819987.5660965191,\n        \"max\": 1936231.8952853011,\n        \"num_unique_values\": 1171,\n        \"samples\": [\n          1895338.4355188115,\n          1850922.3958229907,\n          1898672.0863614655\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"geometry\",\n      \"properties\": {\n        \"dtype\": \"geometry\",\n        \"num_unique_values\": 1171,\n        \"samples\": [\n          \"POINT (1325248.8607242326 1895338.4355188115)\",\n          \"POINT (1326526.0591733416 1850922.3958229907)\",\n          \"POINT (1322438.3587777142 1898672.0863614655)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "TjPUJAOuRUpp"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}