disolucion_de_carrerteras.ipynb

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        "!pip install geopandas pandas matplotlib"
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            "Requirement already satisfied: geopandas in /usr/local/lib/python3.10/dist-packages (0.13.2)\n",
            "Requirement already satisfied: pandas in /usr/local/lib/python3.10/dist-packages (2.0.3)\n",
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            "Requirement already satisfied: fiona>=1.8.19 in /usr/local/lib/python3.10/dist-packages (from geopandas) (1.9.6)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from geopandas) (24.1)\n",
            "Requirement already satisfied: pyproj>=3.0.1 in /usr/local/lib/python3.10/dist-packages (from geopandas) (3.6.1)\n",
            "Requirement already satisfied: shapely>=1.7.1 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) (2023.4)\n",
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            "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",
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            "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (9.4.0)\n",
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            "Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from fiona>=1.8.19->geopandas) (1.16.0)\n"
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      "source": [
        "import geopandas as gpd\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt"
      ],
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      "outputs": []
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              "   ID_RED  TIPO_VIAL               NOMBRE CODIGO       COND_PAV  RECUBRI  \\\n",
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              "\n",
              "  CARRILES     ESTATUS     CONDICION  NIVEL  ...     CIRCULA ESCALA_VIS  \\\n",
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              "      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",
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              "  }\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-5f4c5313-f623-42e0-ac56-b3175ebefcda button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "red_vial"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "red_vial = gpd.read_file('/content/drive/MyDrive/Red_Nacional_de_Caminos2023/carreteras_federales.geojson')\n",
        "red_vial.head()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "red_vial['ID_RED'].count()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "U9_kGoncjFBt",
        "outputId": "00fc1618-bf63-4559-8738-6fd1e9ef384c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "115586"
            ]
          },
          "metadata": {},
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "carreteras_federales = red_vial.drop(['TIPO_VIAL','COND_PAV','RECUBRI','ADMINISTRA','JURISDI','ESCALA_VIS','FECHA_ACT','CALIREPR','ESTATUS','CONDICION','NIVEL','PEAJE','CIRCULA','VELOCIDAD','UNION_INI','UNION_FIN','ANCHO','CARRILES'], axis=1)"
      ],
      "metadata": {
        "id": "CJQLzoJBI6jx"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "carreteras_federales"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "D0U_jbqnKoua",
        "outputId": "c79f24d9-e5d8-4875-f3bc-48c98a2a884c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         ID_RED                       NOMBRE CODIGO     LONGITUD  \\\n",
              "0            56          La Venta - Lechería     57   185.741033   \n",
              "1            95          La Venta - Lechería     57  1321.556725   \n",
              "2           156           Naucalpan - Toluca    134   702.414829   \n",
              "3           206           Naucalpan - Toluca    134   187.621432   \n",
              "4           219          La Venta - Lechería     57    82.962524   \n",
              "...         ...                          ...    ...          ...   \n",
              "115581  3379648              Mérida - Cancún    180   450.857554   \n",
              "115582  3379649              Mérida - Cancún    180   156.751822   \n",
              "115583  3379650              Mérida - Cancún    180   161.931556   \n",
              "115584  3379654  Barranca Larga - Ventanilla    N/D   172.609133   \n",
              "115585  3379685  Barranca Larga - Ventanilla    N/D   157.151945   \n",
              "\n",
              "                                                 geometry  \n",
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              "4       LINESTRING (-99.27736 19.54494, -99.27719 19.5...  \n",
              "...                                                   ...  \n",
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              "\n",
              "[115586 rows x 5 columns]"
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>ID_RED</th>\n",
              "      <th>NOMBRE</th>\n",
              "      <th>CODIGO</th>\n",
              "      <th>LONGITUD</th>\n",
              "      <th>geometry</th>\n",
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              "  <tbody>\n",
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              "      <th>0</th>\n",
              "      <td>56</td>\n",
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              "      <td>185.741033</td>\n",
              "      <td>LINESTRING (-99.27719 19.54568, -99.27717 19.5...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>95</td>\n",
              "      <td>La Venta - Lechería</td>\n",
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              "      <td>1321.556725</td>\n",
              "      <td>LINESTRING (-99.28034 19.53304, -99.28048 19.5...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>156</td>\n",
              "      <td>Naucalpan - Toluca</td>\n",
              "      <td>134</td>\n",
              "      <td>702.414829</td>\n",
              "      <td>LINESTRING (-99.27931 19.44986, -99.27904 19.4...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>206</td>\n",
              "      <td>Naucalpan - Toluca</td>\n",
              "      <td>134</td>\n",
              "      <td>187.621432</td>\n",
              "      <td>LINESTRING (-99.25616 19.45917, -99.25583 19.4...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
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              "      <td>57</td>\n",
              "      <td>82.962524</td>\n",
              "      <td>LINESTRING (-99.27736 19.54494, -99.27719 19.5...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>115581</th>\n",
              "      <td>3379648</td>\n",
              "      <td>Mérida - Cancún</td>\n",
              "      <td>180</td>\n",
              "      <td>450.857554</td>\n",
              "      <td>LINESTRING (-88.85715 20.77299, -88.85641 20.7...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>115582</th>\n",
              "      <td>3379649</td>\n",
              "      <td>Mérida - Cancún</td>\n",
              "      <td>180</td>\n",
              "      <td>156.751822</td>\n",
              "      <td>LINESTRING (-88.85127 20.77279, -88.85149 20.7...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>115583</th>\n",
              "      <td>3379650</td>\n",
              "      <td>Mérida - Cancún</td>\n",
              "      <td>180</td>\n",
              "      <td>161.931556</td>\n",
              "      <td>LINESTRING (-88.85284 20.77246, -88.85181 20.7...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>115584</th>\n",
              "      <td>3379654</td>\n",
              "      <td>Barranca Larga - Ventanilla</td>\n",
              "      <td>N/D</td>\n",
              "      <td>172.609133</td>\n",
              "      <td>LINESTRING (-96.78826 16.22626, -96.78800 16.2...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>115585</th>\n",
              "      <td>3379685</td>\n",
              "      <td>Barranca Larga - Ventanilla</td>\n",
              "      <td>N/D</td>\n",
              "      <td>157.151945</td>\n",
              "      <td>LINESTRING (-96.78947 16.22706, -96.78921 16.2...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>115586 rows × 5 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e68d613a-916e-4943-a0dd-1afa4c8553d9')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      display: none;\n",
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              "      height: 32px;\n",
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              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
              "    .colab-df-buttons div {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "  </style>\n",
              "\n",
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              "      const buttonEl =\n",
              "        document.querySelector('#df-e68d613a-916e-4943-a0dd-1afa4c8553d9 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-e68d613a-916e-4943-a0dd-1afa4c8553d9');\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",
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              "        element.appendChild(docLink);\n",
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              "  </div>\n",
              "\n",
              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-9372d27c-391d-4189-be14-471d4fa54d28')\"\n",
              "            title=\"Suggest charts\"\n",
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              "\n",
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              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
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              "      --hover-fill-color: #174EA6;\n",
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              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
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              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
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              "    display: none;\n",
              "    fill: var(--fill-color);\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    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",
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              "    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-9372d27c-391d-4189-be14-471d4fa54d28 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_53bc1732-cbe0-425e-b99f-9a2bef41d5b8\">\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('carreteras_federales')\"\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",
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              "\n",
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              "\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "carreteras_federales"
            }
          },
          "metadata": {},
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "carreteras_federales['NOMBRE'] = carreteras_federales['NOMBRE'].str.lower()\n",
        "carreteras_federales"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "rQSM2-oRRSOK",
        "outputId": "3884d295-a8ec-492f-b034-b84b2cf7f8eb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "         ID_RED                       NOMBRE CODIGO     LONGITUD  \\\n",
              "0            56          la venta - lechería     57   185.741033   \n",
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              "4           219          la venta - lechería     57    82.962524   \n",
              "...         ...                          ...    ...          ...   \n",
              "115581  3379648              mérida - cancún    180   450.857554   \n",
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              "115583  3379650              mérida - cancún    180   161.931556   \n",
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              "\n",
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              "    border-color: transparent;\n",
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              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
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              "</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-855b9351-3c30-41c5-a9a9-48c2d88dff83 button');\n",
              "      quickchartButtonEl.style.display =\n",
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              "</div>\n",
              "\n",
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              "        fill: #1967D2;\n",
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              "        width: 32px;\n",
              "      }\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",
              "      }\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",
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              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('carreteras_federales')\"\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_8cfae74f-4c9d-4260-a3af-19beee33e53d button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('carreteras_federales');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "carreteras_federales"
            }
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import unicodedata\n",
        "import re"
      ],
      "metadata": {
        "id": "t1cuPcOqU5_J"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def limpiar_texto(texto):\n",
        "    # Quitar acentos\n",
        "    texto = ''.join(\n",
        "        c for c in unicodedata.normalize('NFD', texto)\n",
        "        if unicodedata.category(c) != 'Mn' or c == 'ñ'\n",
        "    )\n",
        "    texto = unicodedata.normalize('NFC', texto)  # Normalizar de nuevo a forma compuesta\n",
        "\n",
        "    # Eliminar caracteres especiales\n",
        "    texto = re.sub(r'[^a-zA-ZñÑ\\s]', '', texto)\n",
        "\n",
        "\n",
        "\n",
        "    return texto"
      ],
      "metadata": {
        "id": "T-Etk-9eetpA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def quitar_acentos(texto):\n",
        "    return ''.join(c for c in unicodedata.normalize('NFD', texto) if unicodedata.category(c) != 'Mn')\n",
        "    # Para mantener Ñ\n",
        "    #def quitar_acentos(texto):\n",
        "    #texto = ''.join(\n",
        "     #   c for c in unicodedata.normalize('NFD', texto)\n",
        "      #  if unicodedata.category(c) != 'Mn' or c == 'ñ'\n",
        "    #)\n",
        "    #return unicodedata.normalize('NFC', texto)"
      ],
      "metadata": {
        "id": "5H5ztwbjUCIT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "carreteras_federales['NOMBRE'] = carreteras_federales['NOMBRE'].apply(limpiar_texto)"
      ],
      "metadata": {
        "id": "HSyfuYqARWHG"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "carreteras_federales['NOMBRE'] = carreteras_federales['NOMBRE'].str.replace(' ', '')"
      ],
      "metadata": {
        "id": "h2oeNneBRxh8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "carreteras_federales['NOMBRE'] = carreteras_federales['NOMBRE'].str.replace('?', '')"
      ],
      "metadata": {
        "id": "lcWATONIRzY7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "carreteras_federales['NOMBRE'] = carreteras_federales['NOMBRE'].str.replace('-', '')"
      ],
      "metadata": {
        "id": "yJSG3vs0dXMb"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "carreteras_federales['NOMBRE'] = carreteras_federales['NOMBRE'].str.replace('.', '')"
      ],
      "metadata": {
        "id": "VmKANhMSSUP8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# para_disolver= ['NOMBRE', 'CODIGO']\n",
        "carreteras_agrupadas= carreteras_federales.dissolve(by=['NOMBRE', 'CODIGO'], aggfunc={\n",
        "    'ID_RED':'count',\n",
        "    'LONGITUD':'sum',\n",
        "})"
      ],
      "metadata": {
        "id": "U6_BQC_JMOPh"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "carreteras_agrupadas"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "dYlzFH3tOKGl",
        "outputId": "af12bd57-da42-4524-b88d-9b4ab1c00cdc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                                                            geometry  \\\n",
              "NOMBRE                     CODIGO                                                      \n",
              "aaguascalientes            80      MULTILINESTRING ((-101.95062 21.36752, -101.94...   \n",
              "acambarocelaya             51      MULTILINESTRING ((-100.82386 20.28633, -100.82...   \n",
              "acambaromorelia            120     LINESTRING (-101.04395 19.82657, -101.04391 19...   \n",
              "acambarozinapecuaro        120     MULTILINESTRING ((-100.78985 19.90174, -100.79...   \n",
              "acapulcozihuatanejo        200     MULTILINESTRING ((-100.53007 17.15976, -100.53...   \n",
              "...                                                                              ...   \n",
              "zapotlanejolagosdemoreno   80      MULTILINESTRING ((-102.99314 20.69677, -102.99...   \n",
              "zaragozalaencantadalabolsa N/D     LINESTRING (-99.98551 23.74283, -99.98565 23.7...   \n",
              "zihuatanejolamira          200     MULTILINESTRING ((-101.60156 17.72161, -101.60...   \n",
              "zihuatanejoplayaazul       200     MULTILINESTRING ((-102.12004 17.97462, -102.11...   \n",
              "zitacuarociudadaltamirano  51      MULTILINESTRING ((-100.67856 18.40772, -100.67...   \n",
              "\n",
              "                                   ID_RED       LONGITUD  \n",
              "NOMBRE                     CODIGO                         \n",
              "aaguascalientes            80          15    1855.831441  \n",
              "acambarocelaya             51         312  110656.524008  \n",
              "acambaromorelia            120          1      11.362042  \n",
              "acambarozinapecuaro        120         47   17500.170096  \n",
              "acapulcozihuatanejo        200        527  250701.303113  \n",
              "...                                   ...            ...  \n",
              "zapotlanejolagosdemoreno   80         195  232499.865694  \n",
              "zaragozalaencantadalabolsa N/D          1    3114.781030  \n",
              "zihuatanejolamira          200        205   91806.995642  \n",
              "zihuatanejoplayaazul       200         52   21213.824870  \n",
              "zitacuarociudadaltamirano  51         337  199780.262473  \n",
              "\n",
              "[1051 rows x 3 columns]"
            ],
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              "    <tr>\n",
              "      <th>NOMBRE</th>\n",
              "      <th>CODIGO</th>\n",
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              "      <th></th>\n",
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              "      <th>aaguascalientes</th>\n",
              "      <th>80</th>\n",
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              "      <th>acambaromorelia</th>\n",
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              "      <td>1</td>\n",
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              "      <td>47</td>\n",
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              "      <td>527</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>zapotlanejolagosdemoreno</th>\n",
              "      <th>80</th>\n",
              "      <td>MULTILINESTRING ((-102.99314 20.69677, -102.99...</td>\n",
              "      <td>195</td>\n",
              "      <td>232499.865694</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>zaragozalaencantadalabolsa</th>\n",
              "      <th>N/D</th>\n",
              "      <td>LINESTRING (-99.98551 23.74283, -99.98565 23.7...</td>\n",
              "      <td>1</td>\n",
              "      <td>3114.781030</td>\n",
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              "      <th>zihuatanejolamira</th>\n",
              "      <th>200</th>\n",
              "      <td>MULTILINESTRING ((-101.60156 17.72161, -101.60...</td>\n",
              "      <td>205</td>\n",
              "      <td>91806.995642</td>\n",
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              "      <th>zihuatanejoplayaazul</th>\n",
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              "      <td>MULTILINESTRING ((-102.12004 17.97462, -102.11...</td>\n",
              "      <td>52</td>\n",
              "      <td>21213.824870</td>\n",
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              "    <tr>\n",
              "      <th>zitacuarociudadaltamirano</th>\n",
              "      <th>51</th>\n",
              "      <td>MULTILINESTRING ((-100.67856 18.40772, -100.67...</td>\n",
              "      <td>337</td>\n",
              "      <td>199780.262473</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1051 rows × 3 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
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              "        document.querySelector('#df-0ca820cf-deec-4f0c-ad25-df61d69f364b button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        const element = document.querySelector('#df-0ca820cf-deec-4f0c-ad25-df61d69f364b');\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",
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              "  [theme=dark] .colab-df-quickchart {\n",
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              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "  }\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-7bc70cff-ef37-4b93-95e1-e94aa2205567 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
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              "</div>\n",
              "\n",
              "  <div id=\"id_06f51777-2f60-45cd-8fef-64a26234a781\">\n",
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              "      .colab-df-generate {\n",
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              "        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('carreteras_agrupadas')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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\"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ID_RED\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 183,\n        \"min\": 1,\n        \"max\": 1355,\n        \"num_unique_values\": 325,\n        \"samples\": [\n          192,\n          376,\n          69\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LONGITUD\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 103323.43201780875,\n        \"min\": 2.392921584865431,\n        \"max\": 637649.1327088367,\n        \"num_unique_values\": 1051,\n        \"samples\": [\n          30506.089171889875,\n          1508.689006875327,\n          102728.3899188065\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 96
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "info_carreteras = carreteras_agrupadas.drop(['geometry'], axis=1)"
      ],
      "metadata": {
        "id": "3oiuGQ_xYyOt"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# prompt: cambaiar el text de la columna ID_RED\ta NUM_Tramos\n",
        "\n",
        "info_carreteras = info_carreteras.rename(columns={'ID_RED': 'NUM_Tramos'})\n",
        "info_carreteras\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "tyeY65ALaE96",
        "outputId": "d2760e6b-9852-4c3a-dde6-481d3964f241"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                   NUM_Tramos       LONGITUD\n",
              "NOMBRE                     CODIGO                           \n",
              "aaguascalientes            80              15    1855.831441\n",
              "acambarocelaya             51             312  110656.524008\n",
              "acambaromorelia            120              1      11.362042\n",
              "acambarozinapecuaro        120             47   17500.170096\n",
              "acapulcozihuatanejo        200            527  250701.303113\n",
              "...                                       ...            ...\n",
              "zapotlanejolagosdemoreno   80             195  232499.865694\n",
              "zaragozalaencantadalabolsa N/D              1    3114.781030\n",
              "zihuatanejolamira          200            205   91806.995642\n",
              "zihuatanejoplayaazul       200             52   21213.824870\n",
              "zitacuarociudadaltamirano  51             337  199780.262473\n",
              "\n",
              "[1051 rows x 2 columns]"
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('info_carreteras');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "info_carreteras",
              "summary": "{\n  \"name\": \"info_carreteras\",\n  \"rows\": 1051,\n  \"fields\": [\n    {\n      \"column\": \"NUM_Tramos\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 183,\n        \"min\": 1,\n        \"max\": 1355,\n        \"num_unique_values\": 325,\n        \"samples\": [\n          192,\n          376,\n          69\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LONGITUD\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 103323.43201780875,\n        \"min\": 2.392921584865431,\n        \"max\": 637649.1327088367,\n        \"num_unique_values\": 1051,\n        \"samples\": [\n          30506.089171889875,\n          1508.689006875327,\n          102728.3899188065\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 81
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# prompt: agregar una columna que contenga el nombre\n",
        "\n",
        "info_carreteras['Nombre'] = info_carreteras.index.get_level_values('NOMBRE')\n",
        "info_carreteras\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "RG-nBL5OjxRG",
        "outputId": "90b4a610-91a6-4792-e93b-4c320168d7d5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                   NUM_Tramos       LONGITUD  \\\n",
              "NOMBRE                     CODIGO                              \n",
              "aaguascalientes            80              15    1855.831441   \n",
              "acambarocelaya             51             312  110656.524008   \n",
              "acambaromorelia            120              1      11.362042   \n",
              "acambarozinapecuaro        120             47   17500.170096   \n",
              "acapulcozihuatanejo        200            527  250701.303113   \n",
              "...                                       ...            ...   \n",
              "zapotlanejolagosdemoreno   80             195  232499.865694   \n",
              "zaragozalaencantadalabolsa N/D              1    3114.781030   \n",
              "zihuatanejolamira          200            205   91806.995642   \n",
              "zihuatanejoplayaazul       200             52   21213.824870   \n",
              "zitacuarociudadaltamirano  51             337  199780.262473   \n",
              "\n",
              "                                                       Nombre  \n",
              "NOMBRE                     CODIGO                              \n",
              "aaguascalientes            80                 aaguascalientes  \n",
              "acambarocelaya             51                  acambarocelaya  \n",
              "acambaromorelia            120                acambaromorelia  \n",
              "acambarozinapecuaro        120            acambarozinapecuaro  \n",
              "acapulcozihuatanejo        200            acapulcozihuatanejo  \n",
              "...                                                       ...  \n",
              "zapotlanejolagosdemoreno   80        zapotlanejolagosdemoreno  \n",
              "zaragozalaencantadalabolsa N/D     zaragozalaencantadalabolsa  \n",
              "zihuatanejolamira          200              zihuatanejolamira  \n",
              "zihuatanejoplayaazul       200           zihuatanejoplayaazul  \n",
              "zitacuarociudadaltamirano  51       zitacuarociudadaltamirano  \n",
              "\n",
              "[1051 rows x 3 columns]"
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              "      <td>acambarocelaya</td>\n",
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              "type": "dataframe",
              "variable_name": "info_carreteras",
              "summary": "{\n  \"name\": \"info_carreteras\",\n  \"rows\": 1051,\n  \"fields\": [\n    {\n      \"column\": \"NUM_Tramos\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 183,\n        \"min\": 1,\n        \"max\": 1355,\n        \"num_unique_values\": 325,\n        \"samples\": [\n          192,\n          376,\n          69\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LONGITUD\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 103323.43201780875,\n        \"min\": 2.392921584865431,\n        \"max\": 637649.1327088367,\n        \"num_unique_values\": 1051,\n        \"samples\": [\n          30506.089171889875,\n          1508.689006875327,\n          102728.3899188065\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Nombre\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 986,\n        \"samples\": [\n          \"pozaricamariadelatorre\",\n          \"libramientonortedezamora\",\n          \"ramalapasolajas\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 97
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# prompt: mostrar los datos que tengan Nombre = nd\n",
        "\n",
        "info_carreteras[info_carreteras['Nombre'] == 'nd']\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 676
        },
        "id": "N50mTGZDmwmB",
        "outputId": "df9452d4-a87a-41c5-f5c5-04e27e748059"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               NUM_Tramos       LONGITUD Nombre\n",
              "NOMBRE CODIGO                                  \n",
              "nd     1                4    1692.900605     nd\n",
              "       110              3      83.565216     nd\n",
              "       136              5    1749.672107     nd\n",
              "       15               6    1468.663210     nd\n",
              "       150              7    1543.150117     nd\n",
              "       186              5     201.207257     nd\n",
              "       190              1     724.725265     nd\n",
              "       195              1     839.614398     nd\n",
              "       2                3      11.778688     nd\n",
              "       200              2     144.082973     nd\n",
              "       295              6     122.216686     nd\n",
              "       305              8    1512.034682     nd\n",
              "       35               1      64.104929     nd\n",
              "       40               4    2367.326638     nd\n",
              "       49              12    1565.182065     nd\n",
              "       5                2    1138.199042     nd\n",
              "       62               1     528.368364     nd\n",
              "       70               1     629.985607     nd\n",
              "       N/D            928  327906.186125     nd"
            ],
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              "      <th>NUM_Tramos</th>\n",
              "      <th>LONGITUD</th>\n",
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              "      <th>NOMBRE</th>\n",
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              "      <td>2367.326638</td>\n",
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              "      <th>N/D</th>\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"info_carreteras[info_carreteras['Nombre'] == 'nd']\",\n  \"rows\": 19,\n  \"fields\": [\n    {\n      \"column\": \"NUM_Tramos\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 212,\n        \"min\": 1,\n        \"max\": 928,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          12,\n          3,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"LONGITUD\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 75021.38156242864,\n        \"min\": 11.778688414975207,\n        \"max\": 327906.1861252984,\n        \"num_unique_values\": 19,\n        \"samples\": [\n          1692.9006045138508,\n          201.20725682511767,\n          1512.0346821419216\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Nombre\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"nd\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "info_carreteras.to_excel('info_carreteras3.xlsx')"
      ],
      "metadata": {
        "id": "BhfQ5hnXageG"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}