Step chart¶
Download this notebook from GitHub (right-click to download).
URL: http://bokeh.pydata.org/en/latest/docs/gallery/step_chart.html
Most examples work across multiple plotting backends, this example is also available for:
In [1]:
import holoviews as hv
from holoviews import opts
hv.extension('bokeh')
Declare data¶
In [2]:
# build a dataset where multiple columns measure the same thing
stamp = [.33, .33, .34, .37, .37, .37, .37, .39, .41, .42,
.44, .44, .44, .45, .46, .49, .49]
postcard = [.20, .20, .21, .23, .23, .23, .23, .24, .26, .27,
.28, .28, .29, .32, .33, .34, .35]
group = "U.S. Postage Rates (1999-2015)"
stamp = hv.Curve(stamp, vdims='Rate per ounce', label='stamp', group=group)
postcard = hv.Curve(postcard, vdims='Rate per ounce', label='postcard', group=group)
postage = (stamp * postcard)
Plot¶
In [3]:
postage.opts(
opts.Curve(interpolation='steps-mid', width=400, height=400,
line_dash=hv.Cycle(values=['dashed', 'solid'])),
opts.Overlay(legend_position='top_left'))
Out[3]:
Download this notebook from GitHub (right-click to download).