Step

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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
20	1990	32.703444	40.824047	62.6	50.818094	47.200851	60.8	29.4	78.866859	14.1	66.921902	71.2	83.9	47.3	31.6	72.6	77.6	45.1
16	1986	31.198719	37.240223	62.1	48.300678	46.532915	60.0	34.7	76.143015	13.9	65.982561	71.2	85.7	46.7	28.4	69.0	75.7	44.0
38	2008	47.570834	42.711730	60.7	59.305765	48.888027	62.4	17.8	79.196327	16.5	67.594028	70.2	85.2	43.3	40.7	77.2	81.7	49.4
14	1984	31.092947	35.453083	62.1	47.669083	45.124030	59.1	36.8	75.869116	13.5	65.749862	72.1	85.1	46.2	28.0	68.2	75.9	44.1
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

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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Download this notebook from GitHub (right-click to download).