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
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
31	2001	45.866015	40.690282	59.4	60.712331	50.275145	63.0	27.6	77.375229	19.0	68.578520	71.2	85.1	47.0	42.2	77.5	80.9	51.7
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
19	1989	31.612403	39.096540	62.0	50.774716	46.781565	60.5	29.9	78.111919	14.1	67.017072	72.4	84.6	46.2	31.3	71.6	76.0	44.2
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

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)