{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Extract a zoom from various geometries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:34:40.656014Z",
     "iopub.status.busy": "2025-01-13T11:34:40.655492Z",
     "iopub.status.idle": "2025-01-13T11:34:41.181932Z",
     "shell.execute_reply": "2025-01-13T11:34:41.181432Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "# for figures in notebook\n",
    "\n",
    "# import & initialize epygram\n",
    "import epygram\n",
    "epygram.init_env()\n",
    "\n",
    "import os\n",
    "INPUTS_DIR = os.path.join('..', 'inputs')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:34:41.184128Z",
     "iopub.status.busy": "2025-01-13T11:34:41.183900Z",
     "iopub.status.idle": "2025-01-13T11:34:41.564601Z",
     "shell.execute_reply": "2025-01-13T11:34:41.564097Z"
    }
   },
   "outputs": [],
   "source": [
    "# open resource in read mode\n",
    "l = epygram.open(os.path.join(INPUTS_DIR, 'ICMSHAROM+0022'), 'r')\n",
    "g = epygram.open(os.path.join(INPUTS_DIR, 'analysis.full-arpege.tl149-c24.fa'), 'r')\n",
    "llr = epygram.open(os.path.join(INPUTS_DIR, 'grid.arome-forecast.guyane0025+0000:00.grib'), 'r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:34:41.566717Z",
     "iopub.status.busy": "2025-01-13T11:34:41.566564Z",
     "iopub.status.idle": "2025-01-13T11:34:41.835350Z",
     "shell.execute_reply": "2025-01-13T11:34:41.834847Z"
    }
   },
   "outputs": [],
   "source": [
    "# extract lon/lat area from Lon/Lat regular field: keep projection\n",
    "f = llr.readfield('shortName:2r')\n",
    "z = f.extract_zoom(dict(lonmin=-55,lonmax=-50,latmin=4,latmax=7))\n",
    "z.geometry"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## but"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:34:41.837345Z",
     "iopub.status.busy": "2025-01-13T11:34:41.837146Z",
     "iopub.status.idle": "2025-01-13T11:34:42.034114Z",
     "shell.execute_reply": "2025-01-13T11:34:42.033751Z"
    }
   },
   "outputs": [],
   "source": [
    "# extract lon/lat area from Lambert projection grid => unstructured\n",
    "f = l.readfield('SURFTEMPERATURE')\n",
    "z = f.extract_zoom(dict(lonmin=7,lonmax=8.5,latmin=45,latmax=46))\n",
    "z.geometry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:34:42.035920Z",
     "iopub.status.busy": "2025-01-13T11:34:42.035738Z",
     "iopub.status.idle": "2025-01-13T11:34:42.189921Z",
     "shell.execute_reply": "2025-01-13T11:34:42.189402Z"
    }
   },
   "outputs": [],
   "source": [
    "# extract lon/lat area from Gauss grid => unstructured\n",
    "f = g.readfield('SURFTEMPERATURE')\n",
    "z = f.extract_zoom(dict(lonmin=7,lonmax=8.5,latmin=45,latmax=46))\n",
    "z.geometry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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