{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most examples work across multiple plotting backends, this example is also available for:\n",
    "\n",
    "* [Matplotlib - autompg_histogram](../matplotlib/autompg_histogram.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import holoviews as hv\n",
    "hv.extension('bokeh','matplotlib')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Declaring data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from bokeh.sampledata.autompg import autompg\n",
    "\n",
    "autompg_ds = hv.Dataset(autompg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%opts Histogram (alpha=0.9) [width=600]\n",
    "autompg_ds.hist(dimension='mpg', groupby='cyl', adjoin=False)"
   ]
  }
 ],
 "metadata": {
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
