{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Polygons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import hvplot.pandas  # noqa"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using hvplot with geopandas is as simple as loading a geopandas dataframe and calling `hvplot` on it with `geo=True`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geodatasets\n",
    "import geopandas as gpd\n",
    "\n",
    "chicago = gpd.read_file(geodatasets.get_path(\"geoda.chicago_commpop\"))\n",
    "chicago.sample(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "chicago.hvplot(geo=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Control the color of the elements using the `c` option."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "chicago.hvplot.polygons(geo=True, c='POP2010', hover_cols='all')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can even color by another series, such as population density:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "chicago.hvplot.polygons(\n",
    "    geo=True,\n",
    "    c=chicago.POP2010/chicago.to_crs('EPSG:32616').area,\n",
    "    clabel='pop density',\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}