{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import cartopy.crs as ccrs\n",
    "import geoviews as gv\n",
    "\n",
    "gv.extension('matplotlib')\n",
    "gv.output(fig='svg', size=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tiles = gv.tile_sources.EsriImagery\n",
    "rasm = xr.tutorial.open_dataset('rasm').load()\n",
    "qmeshes = gv.Dataset(rasm.Tair[::4, ::3, ::3]).to(gv.QuadMesh, groupby='time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "tiles.opts(zoom=1) * qmeshes.opts(projection=ccrs.GOOGLE_MERCATOR)"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}