{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Extract a V1D+T profile from a 4D field"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:32:56.684627Z",
     "iopub.status.busy": "2025-01-13T11:32:56.684137Z",
     "iopub.status.idle": "2025-01-13T11:32:57.214387Z",
     "shell.execute_reply": "2025-01-13T11:32:57.213903Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "# for figures in notebook\n",
    "\n",
    "# import & initialize epygram\n",
    "import epygram\n",
    "epygram.init_env()\n",
    "\n",
    "# path to file\n",
    "import os\n",
    "INPUTS_DIR = os.path.join('..', 'inputs')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:32:57.216499Z",
     "iopub.status.busy": "2025-01-13T11:32:57.216256Z",
     "iopub.status.idle": "2025-01-13T11:32:57.542833Z",
     "shell.execute_reply": "2025-01-13T11:32:57.542345Z"
    }
   },
   "outputs": [],
   "source": [
    "paths = [os.path.join(INPUTS_DIR, 'grid.arome-forecast.guyane0025+00{:02}:00.grib'.format(i))\n",
    "         for i in (0, 12, 24)]\n",
    "r = epygram.resources.meta_resource(paths, 'r', 'CL+MV')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:32:57.544864Z",
     "iopub.status.busy": "2025-01-13T11:32:57.544683Z",
     "iopub.status.idle": "2025-01-13T11:33:23.059505Z",
     "shell.execute_reply": "2025-01-13T11:33:23.059004Z"
    }
   },
   "outputs": [],
   "source": [
    "f = r.readfield({'shortName':'t', 'typeOfFirstFixedSurface':100})  # temperature on pressure levels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:33:23.061668Z",
     "iopub.status.busy": "2025-01-13T11:33:23.061477Z",
     "iopub.status.idle": "2025-01-13T11:33:23.064225Z",
     "shell.execute_reply": "2025-01-13T11:33:23.063861Z"
    }
   },
   "outputs": [],
   "source": [
    "print(f.getdata(d4=True).shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:33:23.066027Z",
     "iopub.status.busy": "2025-01-13T11:33:23.065880Z",
     "iopub.status.idle": "2025-01-13T11:33:23.097925Z",
     "shell.execute_reply": "2025-01-13T11:33:23.097517Z"
    }
   },
   "outputs": [],
   "source": [
    "p = f.extractprofile(-55,5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:33:23.099524Z",
     "iopub.status.busy": "2025-01-13T11:33:23.099376Z",
     "iopub.status.idle": "2025-01-13T11:33:23.101915Z",
     "shell.execute_reply": "2025-01-13T11:33:23.101547Z"
    }
   },
   "outputs": [],
   "source": [
    "print(type(p))\n",
    "print(p.getdata(d4=True).shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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   "pygments_lexer": "ipython3",
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