{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "\n",
    "This code is part of the SIPN2 project focused on improving sub-seasonal to seasonal predictions of Arctic Sea Ice. \n",
    "If you use this code for a publication or presentation, please cite the reference in the README.md on the\n",
    "main page (https://github.com/NicWayand/ESIO). \n",
    "\n",
    "Questions or comments should be addressed to nicway@uw.edu\n",
    "\n",
    "Copyright (c) 2018 Nic Wayand\n",
    "\n",
    "GNU General Public License v3.0\n",
    "\n",
    "\n",
    "'''\n",
    "\n",
    "# Standard Imports\n",
    "import os\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "\n",
    "# ESIO Imports\n",
    "from esio import EsioData as ed\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "E = ed.EsioData.load()\n",
    "\n",
    "file_in = os.path.join(E.obs['NSIDC_extent']['native'], 'N_seaice_extent_daily_v3.0.csv')\n",
    "file_out = os.path.join(E.obs['NSIDC_extent']['sipn_nc'], 'N_seaice_extent_daily_v3.0.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "dateparse = lambda x: pd.datetime.strptime(x, '%Y     %m   %d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(file_in,\n",
    "                skiprows=1,\n",
    "                parse_dates={'datetime': ['YYYY', '    MM', '  DD']}, date_parser=dateparse)\n",
    "df.set_index('datetime', inplace=True)\n",
    "df.columns = ['Extent','Missing','Source']\n",
    "ds = xr.Dataset.from_dataframe(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds.Extent.attrs['units'] = '10^6 sq km'\n",
    "ds.Extent.attrs['Missing'] = '10^6 sq km'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/disk/sipn/nicway/anaconda3/envs/esio/lib/python3.6/site-packages/dask/utils.py:1010: UserWarning: Deprecated, see dask.base.get_scheduler instead\n",
      "  warnings.warn(\"Deprecated, see dask.base.get_scheduler instead\")\n"
     ]
    }
   ],
   "source": [
    "ds.to_netcdf(file_out)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "3.6.4 esio",
   "language": "python",
   "name": "esio"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}