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
3	1973	9.653602	14.791613	60.2	31.147915	12.804602	38.4	16.4	73.501814	1.6	62.941502	74.9	77.4	40.9	16.5	50.4	64.3	36.4
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
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
21	1991	34.711837	33.679881	62.1	51.468805	47.224325	60.8	28.7	78.991246	14.0	66.241475	71.1	83.5	47.0	32.6	73.2	78.2	45.5
17	1987	31.486429	38.730675	61.7	50.209878	46.690466	60.2	32.4	76.963092	14.0	66.706031	72.0	85.5	46.5	30.4	70.1	76.4	43.9

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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