{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot profile(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:31:17.085017Z",
     "iopub.status.busy": "2025-01-13T11:31:17.084500Z",
     "iopub.status.idle": "2025-01-13T11:31:17.608462Z",
     "shell.execute_reply": "2025-01-13T11:31:17.607977Z"
    }
   },
   "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": "2025-01-13T11:31:17.610727Z",
     "iopub.status.busy": "2025-01-13T11:31:17.610513Z",
     "iopub.status.idle": "2025-01-13T11:31:17.932273Z",
     "shell.execute_reply": "2025-01-13T11:31:17.931783Z"
    }
   },
   "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": "2025-01-13T11:31:17.934268Z",
     "iopub.status.busy": "2025-01-13T11:31:17.934122Z",
     "iopub.status.idle": "2025-01-13T11:31:43.247716Z",
     "shell.execute_reply": "2025-01-13T11:31:43.247115Z"
    }
   },
   "outputs": [],
   "source": [
    "f = r.readfield({'shortName':'t', 'typeOfFirstFixedSurface':100})  # temperature on pressure levels\n",
    "p = f.extractprofile(-55,5)  # extract a profile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:31:43.249781Z",
     "iopub.status.busy": "2025-01-13T11:31:43.249622Z",
     "iopub.status.idle": "2025-01-13T11:31:43.252384Z",
     "shell.execute_reply": "2025-01-13T11:31:43.252002Z"
    }
   },
   "outputs": [],
   "source": [
    "print(type(p))\n",
    "print(p.getdata(d4=True).shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:31:43.254007Z",
     "iopub.status.busy": "2025-01-13T11:31:43.253837Z",
     "iopub.status.idle": "2025-01-13T11:31:43.495341Z",
     "shell.execute_reply": "2025-01-13T11:31:43.494815Z"
    }
   },
   "outputs": [],
   "source": [
    "fig, ax = p.plotfield(title='Vertical profile evolution')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:31:43.497195Z",
     "iopub.status.busy": "2025-01-13T11:31:43.497029Z",
     "iopub.status.idle": "2025-01-13T11:31:43.499870Z",
     "shell.execute_reply": "2025-01-13T11:31:43.499470Z"
    }
   },
   "outputs": [],
   "source": [
    "p0 = p.getvalidity(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:31:43.501455Z",
     "iopub.status.busy": "2025-01-13T11:31:43.501270Z",
     "iopub.status.idle": "2025-01-13T11:31:43.827834Z",
     "shell.execute_reply": "2025-01-13T11:31:43.827353Z"
    }
   },
   "outputs": [],
   "source": [
    "fig, ax = p0.plotfield(labels=['temperature'], unit='K')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:31:43.829611Z",
     "iopub.status.busy": "2025-01-13T11:31:43.829454Z",
     "iopub.status.idle": "2025-01-13T11:31:43.965908Z",
     "shell.execute_reply": "2025-01-13T11:31:43.965409Z"
    }
   },
   "outputs": [],
   "source": [
    "profiles = [p.getvalidity(i) for i in range(len(p.validity))]\n",
    "fig, ax = epygram.fields.V1DField.plotprofiles(profiles,\n",
    "                                               labels=[pp.validity.get() for pp in profiles],\n",
    "                                               unit='K')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
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 },
 "nbformat": 4,
 "nbformat_minor": 2
}