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
2	1972	7.420710	13.214594	60.4	29.810221	10.558962	36.6	14.9	73.554520	1.2	63.664263	74.6	76.9	40.2	14.8	47.6	62.6	36.1
36	2006	46.790300	44.499331	61.6	60.172845	49.210914	63.0	18.6	78.686306	16.8	68.297594	69.6	85.9	44.1	40.8	77.4	81.2	49.8
32	2002	47.134658	41.132951	60.9	61.895128	50.552335	63.7	27.0	78.644244	18.7	68.829960	70.5	85.8	45.7	41.1	77.7	81.3	51.5
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
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

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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