{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most examples work across multiple plotting backends, this example is also available for:\n",
    "\n",
    "* [Matplotlib - bars_economic](../matplotlib/bars_economic.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import holoviews as hv\n",
    "from holoviews import opts\n",
    "hv.extension('bokeh','matplotlib')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Declaring data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "macro_df = pd.read_csv('http://assets.holoviews.org/macro.csv', delimiter='\\t')\n",
    "key_dimensions   = [('year', 'Year'), ('country', 'Country')]\n",
    "value_dimensions = [('unem', 'Unemployment'), ('capmob', 'Capital Mobility'),\n",
    "                    ('gdp', 'GDP Growth'), ('trade', 'Trade')]\n",
    "macro = hv.Table(macro_df, key_dimensions, value_dimensions)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bars = macro.to.bars(['Year', 'Country'], 'Trade', [])\n",
    "bars.opts(\n",
    "    opts.Bars(color=hv.Cycle('Category20'), show_legend=False, stacked=True, \n",
    "              tools=['hover'], width=600, xrotation=90))"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python",
   "pygments_lexer": "ipython3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}