Puente_quetame.ipynb

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      "\n",
      "## You are using the Python ARM Radar Toolkit (Py-ART), an open source\n",
      "## library for working with weather radar data. Py-ART is partly\n",
      "## supported by the U.S. Department of Energy as part of the Atmospheric\n",
      "## Radiation Measurement (ARM) Climate Research Facility, an Office of\n",
      "## Science user facility.\n",
      "##\n",
      "## If you use this software to prepare a publication, please cite:\n",
      "##\n",
      "##     JJ Helmus and SM Collis, JORS 2016, doi: 10.5334/jors.119\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/data/keeling/a/alfonso8/miniconda3/envs/xradar/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "import xarray as xr\n",
    "import xradar as xd\n",
    "import datatree\n",
    "from pyart.graph import cm\n",
    "import matplotlib.pyplot as plt\n",
    "from dask.distributed import Client, LocalCluster\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "import warnings\n",
    "import wradlib as wrl\n",
    "from pandas import to_datetime\n",
    "from datetime import datetime\n",
    "from functools import reduce\n",
    "from matplotlib import pyplot\n",
    "from datatree import DataTree, open_datatree\n",
    "from matplotlib.animation import FuncAnimation\n",
    "from cartopy.io.shapereader import Reader\n",
    "from cartopy.feature import ShapelyFeature\n",
    "from xmovie import Movie\n",
    "from IPython.display import HTML\n",
    "from dask_jobqueue import SLURMCluster\n",
    "from dask.distributed import Client, progress\n",
    "warnings.simplefilter(\"ignore\")\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "da7c85e1-4cc4-432c-b4aa-195eab295811",
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       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
       "    </div>\n",
       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">de747f21</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard:</strong> <a href=\"/proxy/8787/status\" target=\"_blank\">/proxy/8787/status</a>\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Workers:</strong> 8\n",
       "                </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total threads:</strong> 48\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total memory:</strong> 48.00 GiB\n",
       "                </td>\n",
       "            </tr>\n",
       "            \n",
       "            <tr>\n",
       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
       "</tr>\n",
       "\n",
       "            \n",
       "        </table>\n",
       "\n",
       "        <details>\n",
       "            <summary style=\"margin-bottom: 20px;\">\n",
       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
       "            </summary>\n",
       "\n",
       "            <div style=\"\">\n",
       "    <div>\n",
       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
       "        <div style=\"margin-left: 48px;\">\n",
       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-9fd17d9f-8d6e-4d71-bd16-1bdd6286588a</p>\n",
       "            <table style=\"width: 100%; text-align: left;\">\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Comm:</strong> tcp://127.0.0.1:39146\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Workers:</strong> 8\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Dashboard:</strong> <a href=\"/proxy/8787/status\" target=\"_blank\">/proxy/8787/status</a>\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total threads:</strong> 48\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Started:</strong> Just now\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total memory:</strong> 48.00 GiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "\n",
       "    <details style=\"margin-left: 48px;\">\n",
       "        <summary style=\"margin-bottom: 20px;\">\n",
       "            <h3 style=\"display: inline;\">Workers</h3>\n",
       "        </summary>\n",
       "\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:35952\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/41212/status\" target=\"_blank\">/proxy/41212/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 6.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:38903\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-loqvx5n9\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:45247\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/45325/status\" target=\"_blank\">/proxy/45325/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 6.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:46337\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-y7zfbo6k\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:41256\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/44402/status\" target=\"_blank\">/proxy/44402/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 6.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:42491\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-apyzp0im\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:34334\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/40391/status\" target=\"_blank\">/proxy/40391/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 6.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:34395\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-i45thrfx\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:38110\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/35026/status\" target=\"_blank\">/proxy/35026/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 6.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:32852\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-bx_owivr\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:41625\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/34442/status\" target=\"_blank\">/proxy/34442/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 6.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:45761\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-zf1xl6hu\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 6</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:32925\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/45668/status\" target=\"_blank\">/proxy/45668/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 6.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:45589\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-74b3ymin\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 7</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:36030\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 6\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/41646/status\" target=\"_blank\">/proxy/41646/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 6.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:36957\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /tmp/dask-scratch-space/worker-hdegc0qv\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "\n",
       "    </details>\n",
       "</div>\n",
       "\n",
       "        </details>\n",
       "    </div>\n",
       "</div>"
      ],
      "text/plain": [
       "LocalCluster(de747f21, 'tcp://127.0.0.1:39146', workers=8, threads=48, memory=48.00 GiB)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cluster = LocalCluster()  \n",
    "client = Client(cluster)\n",
    "cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "14e3448f-f48d-4c49-8814-e14b74e247b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "path = '/data/keeling/a/alfonso8/accp/zarr_radar/TAB.zarr'\n",
    "path_station = './data/quetame.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e488fa01-2bc4-4114-9a14-e8b813ea5f59",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 428 ms, sys: 366 ms, total: 794 ms\n",
      "Wall time: 831 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "dt = open_datatree(f\"{path}\", engine='zarr')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "194e7e8d-abba-4c3b-8e88-2ae738c685dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2023-07-18T23:55:24.867000000')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt['sweep_0'].times.isel(times=-1).values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "f2fd5d4b-e866-462f-ab71-7dddb22aa17a",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = dt['sweep_1'].ds.drop_isel(times=568)\n",
    "ds = ds.isel(times=slice(0, 3)).sel(azimuth=slice(140, 170), range=slice(60*1e3, 120*1e3))\n",
    "ds1 = dt['sweep_1'].ds.drop_isel(times=568).isel(times=slice(0, 3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "85ed4841-53e1-49da-a948-732c6fdc57aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "stations = {\"GUACAPATE\": {'id': 35027190, 'lat': 4.31430556, 'lon': -73.8749444}, \n",
    "            \"GUTIERREZ\": {'id': 35020300, 'lat': 4.25391667, 'lon': -74.0026944},\n",
    "            \"PALMAR\": {'id': 35027200, 'lat': 4.20847222, 'lon': -73.8154167},\n",
    "            \"CASETEJAS\": {'id': 35027210, 'lat': 4.19527778, 'lon': -73.7688889},\n",
    "            \"FERIAS\": {'id': 35027001, 'lat': 4.40338889, 'lon': -73.9405556},\n",
    "           }\n",
    "cols = list(stations.keys())\n",
    "parser = lambda x: pd.to_datetime(x, format='%Y-%m-%d %H:%M')\n",
    "df = pd.read_csv(path_station, date_parser=parser, parse_dates=['Fecha'], index_col=[\"Fecha\"])\n",
    "df.columns = cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "51d8e4ed-2b3f-4e49-a894-f4de7fb99205",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Fecha'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(13,4))\n",
    "df[(df.index > \"2023-07-15 19:00\") & (df.index < \"2023-07-18 18:59\")].plot(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "04b0d2e7-b963-4c9b-9893-9770785c7b8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2023-07-18 18:50:00')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dates = df[(df.index > \"2023-07-15 19:00\") & (df.index < \"2023-07-18 18:59\")]\n",
    "df_dates.index.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "39c94846-2810-4a0f-92ca-ed384050bae9",
   "metadata": {},
   "outputs": [],
   "source": [
    "proj = wrl.georef.epsg_to_osr(4326)\n",
    "ds_georef = ds1.isel(times=0).copy().pipe(wrl.georef.georeference_dataset, proj=proj)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ca9b5fc1-a6ba-4274-b563-e7ee27141068",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(4, 4))\n",
    "ax.pcolormesh(ds_georef.x, ds_georef.y, ds_georef.DBZH)\n",
    "plt.show()\n",
    "# ax.pcolormesh(ds1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5d0a0ee6-c5a4-4162-9f3d-edf89efa588d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# plt.rcParams.update({'font.size': 11})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "692e2eb3-0a8f-4608-b93a-1b7190e9d3a9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023-07-16T00:00:52.311000000\n"
     ]
    },
    {
     "data": {
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2.61 s, sys: 1.5 s, total: 4.11 s\n",
      "Wall time: 3.62 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# fig, (ax, ax1) = plt.subplots(1, 2, subplot_kw={\"projection\": ccrs.PlateCarree()}, figsize=(12, 5), dpi=150)\n",
    "# gs = ax.get_gridspec()\n",
    "# print(gs)\n",
    "fig = plt.figure(figsize=(13, 13))\n",
    "mosaic = \"\"\"\n",
    "    AB\n",
    "    CC\n",
    "    \"\"\"\n",
    "ax_dict = fig.subplot_mosaic(mosaic,  per_subplot_kw={\n",
    "        \"A\": {\"projection\": ccrs.PlateCarree()},\n",
    "        \"B\": {\"projection\": ccrs.PlateCarree()},\n",
    "    })\n",
    "\n",
    "ax = ax_dict['A']\n",
    "ax1 = ax_dict['B']\n",
    "ax3 = ax_dict['C']\n",
    "\n",
    "proj_crs = xd.georeference.get_crs(ds)\n",
    "cart_crs = ccrs.Projection(proj_crs)\n",
    "\n",
    "t0 = ds.times.values[0]\n",
    "print(t0)\n",
    "## first plot\n",
    "sc = ds.sel(times=t0).DBZH.plot(x=\"x\", y=\"y\", vmin=-10,\n",
    "                                vmax=50, cmap=\"pyart_ChaseSpectral\", \n",
    "                                transform=cart_crs,\n",
    "                                ax=ax)\n",
    "ax.set_title(\"\")\n",
    "hour = pd.to_datetime(ds.sel(times=t0).times.values).tz_localize('UTC').tz_convert('America/Bogota')\n",
    "title = fig.suptitle(f\"Tablazo radar - {ds.sel(times=t0).sweep_fixed_angle.values: .1f} [deg]    {hour:%Y-%m-%d %H:%M} HLC\")\n",
    "fig.suptitle(title)\n",
    "gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=True,\n",
    "                  linewidth=1, color=\"gray\", alpha=0.3, linestyle=\"--\")\n",
    "plt.gca().xaxis.set_major_locator(plt.NullLocator())\n",
    "gl.top_labels = False\n",
    "gl.right_labels = False\n",
    "# ax.coastlines()\n",
    "shape_feature = ShapelyFeature(Reader(\"./gis/shape/Departamentos.shp\").geometries(),\n",
    "                                ccrs.PlateCarree(), facecolor='none', edgecolor='w')\n",
    "mun = ShapelyFeature(Reader(\"./gis/quet/muni.shp\").geometries(),\n",
    "                                ccrs.PlateCarree(), facecolor='none', edgecolor='w')\n",
    "\n",
    "dren = ShapelyFeature(Reader(\"./gis/dren/Drenajes.shp\").geometries(),\n",
    "                                ccrs.PlateCarree(), facecolor='none', edgecolor='w')\n",
    "\n",
    "sen = ShapelyFeature(Reader(\"./gis/dren/sencillo.shp\").geometries(),\n",
    "                                ccrs.PlateCarree(), facecolor='none', edgecolor='w')\n",
    "ax.add_feature(mun, edgecolor='m')\n",
    "ax.add_feature(shape_feature, edgecolor='w')\n",
    "ax.add_feature(dren, edgecolor='blue', lw=0.5)\n",
    "ax.add_feature(sen, edgecolor='blue', lw=0.5)\n",
    "\n",
    "ax.scatter(-73.8726, 4.3326, transform=ccrs.PlateCarree(), c='#00FF00', s=8, zorder=10)\n",
    "ax.set_aspect('equal', 'datalim')\n",
    "\n",
    "\n",
    "## Second plot\n",
    "z_lin = 10 ** (0.1 *ds.sel(times=t0).DBZH)\n",
    "r_total = ((0.0376 * z_lin ** 0.6112) * (5 / 12))\n",
    "p = ax1.pcolormesh(ds.x.values, ds.y.values, r_total,  transform=cart_crs, vmin=0, vmax=100, cmap='magma')\n",
    "gl1 = ax1.gridlines(crs=ccrs.PlateCarree(), draw_labels=True,\n",
    "                  linewidth=1, color=\"gray\", alpha=0.3, linestyle=\"--\")\n",
    "plt.gca().xaxis.set_major_locator(plt.NullLocator())\n",
    "gl1.top_labels = False\n",
    "gl1.right_labels = False\n",
    "gl1.left_labels = False\n",
    "\n",
    "ax1.add_feature(shape_feature, edgecolor='w')\n",
    "plt.colorbar(p, ax=ax1, label='Total rainfall rate [mm]')\n",
    "ax1.scatter(-73.8726, 4.3326, transform=ccrs.PlateCarree(), c='c', s=8, zorder=10)\n",
    "ax1.set_aspect('equal', 'datalim')\n",
    "ax1.add_feature(mun, edgecolor='m')\n",
    "ax1.add_feature(sen, edgecolor='b', lw=0.5)\n",
    "ax1.add_feature(dren, edgecolor='blue', lw=0.5)\n",
    "df_dates.plot(ax=ax3)\n",
    "ax3.set_ylabel(r\"$Precip \\  [mm]$\")\n",
    "ax3.set_xlim(df_dates.index.min(), df_dates.index.max())\n",
    "\n",
    "# ax.set_title(\"Lluvia acumulada en 72 horas\")\n",
    "\n",
    "def update_plot(t):\n",
    "    date = pd.to_datetime(t)\n",
    "    # ser = df[(df.index > \"2023-07-15 19:00\") & (df.index < f\"{date:%Y-%m-%d %H:%M}\")]\n",
    "    # series.set_array(ser.values.ravel())\n",
    "    z_lin = 10 ** (0.1 *ds.sel(times=slice(t0, t)).DBZH)\n",
    "    r_total = ((0.0376 * z_lin ** 0.6112) * (5 / 12)).sum('times')\n",
    "    hour = pd.to_datetime(ds.sel(times=t).times.values).tz_localize('UTC').tz_convert('America/Bogota')\n",
    "    p.set_array(r_total.values.ravel())\n",
    "    sc.set_array(ds.sel(times=t).DBZH.values.ravel())\n",
    "    fig.suptitle(f\"Tablazo radar - {ds.sel(times=t).sweep_fixed_angle.values: .1f} [deg]    {hour:%Y-%m-%d %H:%M} HLC\")\n",
    "\n",
    "ani = FuncAnimation(fig, update_plot, frames=ds.times.values, interval=100, blit=False)\n",
    "plt.close()\n",
    "display(HTML(ani.to_html5_video()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a8ab1f70-b90d-4a34-81c2-c545af20101b",
   "metadata": {},
   "outputs": [],
   "source": []
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   "cell_type": "code",
   "execution_count": null,
   "id": "4dd94c08-1a75-42bb-a33b-0ca8f57aa079",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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