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      "cell_type": "markdown",
      "metadata": {
        "id": "Q0tHKpvv4wAT"
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      "source": [
        "# Converting Multi-layer KML to a GeoPackage\n",
        "\n",
        "We have a complex KML file with 2000+ individual layers. Each layer contains only a single feature but having large number of layers means it takes a long time to read and parse them. We can use GeoPandas to read all the layers and merge layers having the same geometry and write the cleaned layers to a GeoPacjage."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5hm2Ypxk4wAW"
      },
      "source": [
        "## Setup and Import\n",
        "\n",
        "The following blocks of code will install and import the required packages in Colab environment."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "zGzb4G0m4wAX"
      },
      "outputs": [],
      "source": [
        "try:\n",
        "    import geopandas\n",
        "except ModuleNotFoundError:\n",
        "    if 'google.colab' in str(get_ipython()):\n",
        "        !apt install -qq libspatialindex-dev\n",
        "        !pip install fiona shapely pyproj rtree --quiet\n",
        "        !pip install geopandas --quiet\n",
        "    else:\n",
        "        print('geopandas not found, please install via conda in your environment')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "2DA0u8bm4wAY"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import pandas as pd\n",
        "import geopandas as gpd\n",
        "import fiona"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Methodology"
      ],
      "metadata": {
        "id": "w5u2Ux1HDay3"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Create a list of layers as a Pandas Series."
      ],
      "metadata": {
        "id": "IapiDXY__67n"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "file_path = 'input.kml'\n",
        "layers = pd.Series(fiona.listlayers(file_path))\n",
        "layers"
      ],
      "metadata": {
        "id": "CzQMdXBk5nim",
        "outputId": "fe572ed1-b4c2-45a3-bd4b-a2a726723cbf",
        "colab": {
          "base_uri": "https://localhost:8080/"
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      },
      "execution_count": 5,
      "outputs": [
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      "cell_type": "markdown",
      "source": [
        "Iterate through each layer and read it using GeoPandas. Create a list of GeoDataFrames for each layer.\n",
        "\n",
        "This step can take time.\n",
        "\n",
        " Use `tqdm` to display a progress bar."
      ],
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              "  0%|          | 0/2182 [00:00<?, ?it/s]"
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      "source": [
        "gpd.io.file.fiona.drvsupport.supported_drivers['KML'] = 'rw'\n",
        "\n",
        "gdf_list = []\n",
        "\n",
        "from tqdm.notebook import tqdm\n",
        "\n",
        "for index, layer in tqdm(layers.items(), total=len(layers)):\n",
        "      gdf = gpd.read_file(file_path, layer=layer)\n",
        "      gdf_list.append(gdf)      "
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Merge the individual GeoDataFrames from each layer into a single *GeoDataFrame*."
      ],
      "metadata": {
        "id": "2QEFADQJAR-2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "merged = pd.concat(gdf_list)\n",
        "merged.head()"
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      "execution_count": 13,
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      "source": [
        "The geometry column includes different geometries, each geometry type has to be saved into a separate layers. Iterate over goemetry types and write out a layer in the output geopackage."
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        "   merged[merged.geom_type == geomtype].to_file(output_file, driver='GPKG', layer=geomtype)"
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