Step

import hvplot.pandas  # noqa

step can be used pretty much anytime line might be used and has many of the same options available.

from bokeh.sampledata.degrees import data as deg
deg.sample(n=5)

	Year	Agriculture	Architecture	Art and Performance	Biology	Business	Communications and Journalism	Computer Science	Education	Engineering	English	Foreign Languages	Health Professions	Math and Statistics	Physical Sciences	Psychology	Public Administration	Social Sciences and History
40	2010	48.730042	42.066721	61.3	59.010255	48.757988	62.5	17.6	79.618625	17.2	67.928106	69.0	85.0	43.1	40.2	77.0	81.7	49.3
18	1988	31.085087	39.398907	61.7	50.099811	46.764828	60.4	30.8	77.627662	13.9	67.144498	72.3	85.2	46.2	29.7	70.9	75.6	44.4
25	1995	36.844807	36.063218	59.2	52.599403	48.573181	58.8	27.5	75.125256	16.2	65.936949	69.6	81.5	46.1	35.9	73.0	78.8	47.9
10	1980	30.759390	28.080381	63.4	43.999257	36.765725	54.7	32.5	74.981032	10.3	65.284130	74.1	83.5	42.8	24.6	65.1	74.6	44.2
23	1993	34.946832	35.777159	60.2	51.124844	47.639332	58.7	28.5	77.267312	14.9	65.730950	70.0	82.4	46.4	33.6	73.1	78.0	46.1

deg.hvplot.step(x='Year', y=['Art and Performance', 'Business', 'Biology', 'Education', 'Computer Science'], 
                value_label='% of Degrees Earned by Women', legend='top', height=500, width=620)

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