URL: http://bokeh.pydata.org/en/latest/docs/gallery/unemployment.html

Most examples work across multiple plotting backends, this example is also available for:

In [ ]:
import pandas as pd
import holoviews as hv
from holoviews import opts

hv.extension('bokeh')

Defining data

In [ ]:
from bokeh.sampledata.unemployment1948 import data

data = pd.melt(data.drop('Annual', 1), id_vars='Year', var_name='Month', value_name='Unemployment')
heatmap = hv.HeatMap(data, label="US Unemployment (1948 - 2013)")

Plot

In [ ]:
colors = ["#75968f", "#a5bab7", "#c9d9d3", "#e2e2e2", "#dfccce", "#ddb7b1", "#cc7878", "#933b41", "#550b1d"]
heatmap.opts(
    opts.HeatMap(width=900, height=400, xrotation=45, xaxis='top', labelled=[],
                 tools=['hover'], cmap=colors))