consulta_municipio.ipynb

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        "<a href=\"https://colab.research.google.com/github/rivelle/pythongis/blob/master/consulta_municipio.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "# Importando as bibliotecas necessárias\n",
        "import geopandas as gpd\n",
        "from shapely.geometry import Point, Polygon"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Lendo a camada shapefile com os polígonos dos municípios e a armazenando na variável mun\n",
        "mun = gpd.read_file('/content/drive/MyDrive/BA_Municipios_2022.shp', encoding = 'utf-8')\n",
        "\n",
        "mun.head() # visualizando o topo da tabela de atributos da variável mun"
      ],
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              "    CD_MUN     NM_MUN SIGLA_UF  AREA_KM2  \\\n",
              "0  2900108     Abaíra       BA   538.677   \n",
              "1  2900207      Abaré       BA  1604.923   \n",
              "2  2900306  Acajutiba       BA   181.475   \n",
              "3  2900355   Adustina       BA   629.099   \n",
              "4  2900405  Água Fria       BA   742.775   \n",
              "\n",
              "                                            geometry  \n",
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        "# Criando uma seleção por município que ficará armazenada na variável selec_mun\n",
        "selec_mun = mun[mun['NM_MUN'] == 'Correntina'] # Para alterar o município basta atualizar o nome\n",
        "\n",
        "selec_mun # visualizando o topo da tabela de atributos da variável selec_mun"
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              "      CD_MUN      NM_MUN SIGLA_UF   AREA_KM2  \\\n",
              "111  2909307  Correntina       BA  11504.314   \n",
              "\n",
              "                                              geometry  \n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Carregando a lista de pontos e a armazenando na variável pts\n",
        "\n",
        "pts = gpd.read_file('/content/drive/MyDrive/pts_decreto.shp')\n",
        "\n",
        "pts.head() # Visualizando o topo da tabela de atributops da variável pts"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "1gOQ8mxkaTif",
        "outputId": "d28b08c6-68a1-4098-f9cf-74a753136e88"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "              title=\"Suggest charts.\"\n",
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              "<style>\n",
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              "  .colab-df-quickchart:hover {\n",
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              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart:hover {\n",
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              "</style>\n",
              "\n",
              "    <script>\n",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "\n",
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              "\n",
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              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-ebe45f8d-8b3c-4286-aecb-0667d0de1526 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-ebe45f8d-8b3c-4286-aecb-0667d0de1526');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Setando e reprojetando o sistema de coordenadas da variável pts para ser o mesmo da variável mun\n",
        "\n",
        "pts = pts.set_crs(epsg = '31983') # Setando o crs para o original da camada pts (crs que ela foi gerada)\n",
        "\n",
        "pts = pts.to_crs(epsg = '4674') # Reprojetando o crs da variável pts para o mesmo crs da variável mun"
      ],
      "metadata": {
        "id": "DUIj8-kbhit6"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Filtrando ponto na variável pts através do índice do ponto (caso a lista só tenha um único ponto o índice sempre será zero)\n",
        "selec_pts = pts.iloc[95]\n",
        "\n",
        "selec_pts # Visualizando o conteúdo da variável selec_pts (resultado do filtro)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mH0KAGevanZk",
        "outputId": "fc672315-600e-4c38-ffc9-2917668af9d2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "vertice                                                 96\n",
              "coord_y                                         8478452.67\n",
              "coord_x                                          403335.37\n",
              "geometry    POINT (-45.89417302525113 -13.761664917213164)\n",
              "Name: 95, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Consultando a relação espacial entre o polígono do município e o ponto. Neste caso verificando se o polígono contém o ponto\n",
        "\n",
        "selec_mun['geometry'].contains(selec_pts['geometry']) # Se o ponto estiver contido o resultado será True, do contrário, False"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z4ypvt5QfZ2z",
        "outputId": "dabfb099-b7ee-4c67-ac93-b7aaf43c1c0f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "111    True\n",
              "dtype: bool"
            ]
          },
          "metadata": {},
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Consultando a relação espacial entre o ponto e o polígono do município. Neste caso verificando se o ponto está dentro do polígono\n",
        "\n",
        "selec_pts['geometry'].within(selec_mun['geometry']) # Se o ponto estiver dentro do polígono o resultado será True, do contrário, False"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pnxWdIYHa-g0",
        "outputId": "9aeb98d7-ffe0-49f1-afc1-8a7a22f27aed"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "111    True\n",
              "Name: geometry, dtype: bool"
            ]
          },
          "metadata": {},
          "execution_count": 62
        }
      ]
    }
  ]
}