{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Points"
   ]
  },
  {
   "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 geopandas as gpd\n",
    "\n",
    "\n",
    "data = {\n",
    "    'City': ['London', 'Paris', 'Berlin', 'Madrid', 'Rome', 'Vienna', 'Warsaw', 'Amsterdam'],\n",
    "    'Country': ['United Kingdom', 'France', 'Germany', 'Spain', 'Italy', 'Austria', 'Poland', 'Netherlands'],\n",
    "    'Latitude': [51.5074, 48.8566, 52.5200, 40.4168, 41.9028, 48.2082, 52.2297, 52.3676],\n",
    "    'Longitude': [-0.1278, 2.3522, 13.4050, -3.7038, 12.4964, 16.3738, 21.0122, 4.9041]\n",
    "}\n",
    "cities = gpd.GeoDataFrame(\n",
    "    data,\n",
    "    geometry=gpd.points_from_xy(data['Longitude'], data['Latitude']),\n",
    "    crs=\"EPSG:4326\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cities.hvplot(geo=True, tiles=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can easily change the tiles, add coastlines, or which fields show up in the hover text:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cities.hvplot(tiles='EsriTerrain', coastline=True, hover_cols='all')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can also alter the projection of the data using cartopy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cartopy.crs as ccrs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cities.hvplot(coastline=True, projection=ccrs.Geostationary(central_longitude=10), global_extent=True)"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}