examples/gallery/demos/matplotlib/us_unemployment.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "URL: http://bokeh.pydata.org/en/latest/docs/gallery/unemployment.html\n",
    "\n",
    "Most examples work across multiple plotting backends, this example is also available for:\n",
    "\n",
    "* [Bokeh - US unemployment example](../bokeh/us_unemployment.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import holoviews as hv\n",
    "hv.extension('matplotlib')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Defining data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bokeh.sampledata.unemployment1948 import data\n",
    "\n",
    "colors = [\"#75968f\", \"#a5bab7\", \"#c9d9d3\", \"#e2e2e2\", \"#dfccce\", \"#ddb7b1\", \"#cc7878\", \"#933b41\", \"#550b1d\"]\n",
    "\n",
    "data = pd.melt(data.drop('Annual', axis=1), id_vars='Year', var_name='Month', value_name='Unemployment')\n",
    "\n",
    "heatmap = hv.HeatMap(data, label=\"US Unemployment (1948 - 2013)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "heatmap.opts(fig_size=450, aspect=3, xrotation=45, show_values=False, labelled=[], cmap=colors)"
   ]
  }
 ],
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