Us unemployment¶
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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 [1]:
import pandas as pd
import holoviews as hv
hv.extension('matplotlib')
Defining data¶
In [2]:
from bokeh.sampledata.unemployment1948 import data
colors = ["#75968f", "#a5bab7", "#c9d9d3", "#e2e2e2", "#dfccce", "#ddb7b1", "#cc7878", "#933b41", "#550b1d"]
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 [3]:
heatmap.opts(fig_size=450, aspect=3, xrotation=45, show_values=False, labelled=[], cmap=colors)
Out[3]:
Download this notebook from GitHub (right-click to download).