{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import hvplot.xarray  # noqa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "\n",
    "ds = xr.tutorial.open_dataset('rasm')\n",
    "ds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`quadmesh` can be slower that `image`, but it allows you to plot values on an irregular grid by representing each value as a polygon."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds.Tair.hvplot.quadmesh(x='xc', y='yc', geo=True, widget_location='bottom')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To reduce the render time or the size of the saved plot, use `rasterize` to aggregate the values to the pixel. It is recommended that when rasterizing geo plots, you project **before** rasterizing, by setting `project=True`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds.Tair.hvplot.quadmesh(x='xc', y='yc', geo=True, widget_location='bottom', rasterize=True, project=True)"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}