{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import geoviews as gv\n",
    "import geoviews.tile_sources as gvts\n",
    "\n",
    "gv.extension('bokeh')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Declare data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cities = pd.read_csv('../../assets/cities.csv', encoding=\"ISO-8859-1\")\n",
    "\n",
    "points = gv.Points(cities, ['Longitude', 'Latitude'], ['City', 'Population', 'Country', 'Year'],\n",
    "                   label='Top 20 Cities by population in 2050').select(Year=2050).sort('Population').iloc[-20:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "(gvts.CartoMidnight *\n",
    " points.opts(\n",
    "    size=gv.dim('Population')*0.000002, fill_color='Population', line_color='gray', cmap='viridis',\n",
    "    width=700, height=600, global_extent=True, tools=['hover'], show_legend=False) *\n",
    " gv.Labels(points).opts(\n",
    "    text_font_size='8pt', text_color='white'))"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
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 "nbformat": 4,
 "nbformat_minor": 2
}