{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Apply a mask using another field\n",
    "\n",
    "in this case, use the land-sea mask field to mask non-land values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:34:11.207736Z",
     "iopub.status.busy": "2025-01-13T11:34:11.206547Z",
     "iopub.status.idle": "2025-01-13T11:34:11.740269Z",
     "shell.execute_reply": "2025-01-13T11:34:11.739792Z"
    }
   },
   "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": "2025-01-13T11:34:11.742469Z",
     "iopub.status.busy": "2025-01-13T11:34:11.742253Z",
     "iopub.status.idle": "2025-01-13T11:34:11.886123Z",
     "shell.execute_reply": "2025-01-13T11:34:11.885619Z"
    }
   },
   "outputs": [],
   "source": [
    "r = epygram.open(os.path.join(INPUTS_DIR, 'ICMSHAROM+0022'), 'r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:34:11.888172Z",
     "iopub.status.busy": "2025-01-13T11:34:11.887955Z",
     "iopub.status.idle": "2025-01-13T11:34:11.944257Z",
     "shell.execute_reply": "2025-01-13T11:34:11.943831Z"
    }
   },
   "outputs": [],
   "source": [
    "f = r.readfield('SURFTEMPERATURE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:34:11.945793Z",
     "iopub.status.busy": "2025-01-13T11:34:11.945615Z",
     "iopub.status.idle": "2025-01-13T11:34:12.479406Z",
     "shell.execute_reply": "2025-01-13T11:34:12.479029Z"
    }
   },
   "outputs": [],
   "source": [
    "fig, ax = f.cartoplot(subzone='CI')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:34:12.482243Z",
     "iopub.status.busy": "2025-01-13T11:34:12.482074Z",
     "iopub.status.idle": "2025-01-13T11:34:12.485414Z",
     "shell.execute_reply": "2025-01-13T11:34:12.485089Z"
    }
   },
   "outputs": [],
   "source": [
    "lsm = r.readfield('SURFIND.TERREMER')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:34:12.487001Z",
     "iopub.status.busy": "2025-01-13T11:34:12.486846Z",
     "iopub.status.idle": "2025-01-13T11:34:12.791375Z",
     "shell.execute_reply": "2025-01-13T11:34:12.790867Z"
    }
   },
   "outputs": [],
   "source": [
    "fig, ax = lsm.cartoplot(subzone='CI')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:34:12.793231Z",
     "iopub.status.busy": "2025-01-13T11:34:12.793074Z",
     "iopub.status.idle": "2025-01-13T11:34:12.796434Z",
     "shell.execute_reply": "2025-01-13T11:34:12.796010Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy\n",
    "masked_data = numpy.ma.masked_where(lsm.getdata() < 0.5, f.getdata())\n",
    "f.setdata(masked_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-01-13T11:34:12.798151Z",
     "iopub.status.busy": "2025-01-13T11:34:12.797758Z",
     "iopub.status.idle": "2025-01-13T11:34:13.115384Z",
     "shell.execute_reply": "2025-01-13T11:34:13.114877Z"
    }
   },
   "outputs": [],
   "source": [
    "f.cartoplot(subzone='CI')"
   ]
  },
  {
   "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
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   "file_extension": ".py",
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