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   "source": [
    "<img src=\"../pic/ex05.png\" width=\"100%\"> <br>\n",
    "\n",
    "# ICON Training - Hands-on Session -  Basic Plot Script for Ex 5 - Allocating Additional Fields\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38c20862-5e83-4989-b72a-47da1e8483d3",
   "metadata": {},
   "source": [
    "This is a Python 3 Jupyter notebook. We create a plot with Matplotlib and Cartopy and start by loading the necessary modules."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2e0f9f82-1eb9-4e3c-b7ef-72115a70c0d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import getpass\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import cartopy\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c11082ca-9043-499e-9774-461180eda54f",
   "metadata": {},
   "source": [
    "Define the directory and filenames."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8a2d2642-a044-4848-8e51-b52b1bdc5cbb",
   "metadata": {},
   "outputs": [],
   "source": [
    "user = getpass.getuser()\n",
    "\n",
    "# absolute path to directory with plenty of space:\n",
    "EXPDIR=f\"/scratch/{user[0]}/{user}/exercise_programming/\"\n",
    "\n",
    "# file names\n",
    "filename_ll = f\"{EXPDIR}/Ex5_Diagnostic_DOM01_20210714T120000Z.nc\"\n",
    "print(f\"Filename:  {filename_ll=}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59e7225f-9361-4ea5-a838-0b6969eec772",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-success\">\n",
    "    <b style=\"color:#2d4b9b;\">Exercise:</b> \n",
    "    Specify the variable you have implemented into ICON for plotting.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d1c95799-bbae-4f61-9c6a-0b54f71602fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "plotvar=????????"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc054efe-5e31-496f-8e7a-154e7448abe7",
   "metadata": {
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   "source": [
    "<details>\n",
    "<summary style=\"font-size: 1.1em;\">Solution</summary>\n",
    "\n",
    "```\n",
    "plotvar='process_id'       # for the Fortran exercise part F1\n",
    "#plotvar='comin_process_id' # for the ComIn exercise part\n",
    "```\n",
    "</details>\n",
    "\n",
    "<br/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5618de4-4d41-4797-8305-e5fdf652d2aa",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Create the plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e61df059-244d-484d-8238-5b954bb9ae17",
   "metadata": {},
   "outputs": [],
   "source": [
    "#%matplotlib widget\n",
    "\n",
    "# Open the dataset from the specified filename\n",
    "ds_ll = xr.open_dataset(filename_ll)\n",
    "\n",
    "# Extract longitude and latitude from the dataset for the specified plot variable\n",
    "lon = ds_ll[plotvar].lon\n",
    "lat = ds_ll[plotvar].lat\n",
    "\n",
    "# Create a figure with a specified size\n",
    "fig = plt.figure(figsize=(9, 9))\n",
    "\n",
    "# Select the first time step of the dataset for plotting\n",
    "dataset = ds_ll[plotvar][0,:,:]\n",
    "\n",
    "# Define the color map and the minimum and maximum values for the plot\n",
    "plot_color = \"flag\"\n",
    "plot_min = np.round(np.amin(dataset))\n",
    "plot_max = np.round(np.amax(dataset))\n",
    "\n",
    "# Add a subplot with a PlateCarree projection and no frame\n",
    "ax = fig.add_subplot(projection=cartopy.crs.PlateCarree(), frameon=False)\n",
    "\n",
    "# Set the title of the plot\n",
    "ax.set_title(\"ICON Domain Decomposition\", y=1.05)\n",
    "\n",
    "# Add country borders to the plot\n",
    "ax.add_feature(cartopy.feature.BORDERS, edgecolor='gray')\n",
    "\n",
    "# Create a filled contour plot with the specified color map and transform\n",
    "ax.contourf(lon, lat, dataset, int(plot_max-plot_min), cmap=plot_color, transform=cartopy.crs.PlateCarree())\n",
    "\n",
    "# Add gridlines with labels in degrees, minutes, and seconds\n",
    "ax.gridlines(draw_labels=True, dms=True, x_inline=False, y_inline=False)\n",
    "\n",
    "# Add a color bar to the plot with a horizontal orientation and a label\n",
    "plt.colorbar(plt.cm.ScalarMappable(cmap=plot_color, norm=plt.Normalize(plot_min, plot_max)), ax=ax, orientation='horizontal', label=\"process ID\")\n",
    "\n",
    "# Display the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57398f8f-f9b9-4241-9afc-313dd4c24b55",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "*Author info: Deutscher Wetterdienst (DWD) 2025 ::  icon@dwd.de. For a full list of contributors, see CONTRIBUTING in the root directory. License info: see LICENSE file.*"
   ]
  }
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