extensions/environment/notebooks/Charm-50.ipynb

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   "source": [
    "# Vectorized and harmonized geological maps\n",
    "![](./Charm-50.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7ade3d2",
   "metadata": {},
   "source": [
    "## Pre-requeries"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39cf4787",
   "metadata": {},
   "source": [
    "### GeoPandas installation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e732b692",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install geopandas"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77573e62",
   "metadata": {},
   "source": [
    "### Download and unzip dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9483ab3c",
   "metadata": {},
   "outputs": [],
   "source": [
    "### http://infoterre.brgm.fr/telechargements/BDCharm50/GEO050K_HARM_001.zip\n",
    "from glob import glob\n",
    "import os\n",
    "\n",
    "data_folder = '/tmp'\n",
    "shapefile_paths = glob(os.path.join(data_folder, '*.shp'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b9cdb23",
   "metadata": {},
   "source": [
    "## Load and visualize dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d65150c5",
   "metadata": {},
   "source": [
    "### Load shape data as streamlines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "29accbc8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "from bioexplorer import BioExplorer\n",
    "import geopandas as gpd\n",
    "from tqdm import tqdm\n",
    "import seaborn as sns\n",
    "\n",
    "be = BioExplorer()\n",
    "core = be.core_api()\n",
    "status = be.reset_scene()\n",
    "\n",
    "DEFAULT_RADIUS = 25.0\n",
    "\n",
    "errors = list()\n",
    "palette = sns.color_palette('Blues', len(shapefile_paths))\n",
    "i = 0\n",
    "for shapefile_path in tqdm(shapefile_paths):\n",
    "    c = palette[i]\n",
    "    data = gpd.read_file(shapefile_path)\n",
    "    line_geometry = data.geometry\n",
    "    colors = list()\n",
    "    indices = list()\n",
    "    indices.append(0)\n",
    "    vertices = list()\n",
    "    index = 0\n",
    "    for line in line_geometry:\n",
    "        try:\n",
    "            coordinates = line.coords\n",
    "            if len(coordinates) <= 2:\n",
    "                continue\n",
    "            for coordinate in coordinates:\n",
    "                vertices.append(coordinate[0])\n",
    "                vertices.append(coordinate[1])\n",
    "                vertices.append(0.0) # 2D dataset\n",
    "                vertices.append(DEFAULT_RADIUS)\n",
    "                colors.append(c[0])\n",
    "                colors.append(c[1])\n",
    "                colors.append(c[2])\n",
    "                colors.append(1)\n",
    "            index += len(coordinates)\n",
    "            indices.append(index)\n",
    "        except Exception as e:\n",
    "            errors.append(e)\n",
    "    if len(indices)>2:\n",
    "        be.add_streamlines(os.path.basename(shapefile_path), indices, vertices, colors)\n",
    "    i += 1\n",
    "\n",
    "status = be.reset_camera()"
   ]
  }
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