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
37	2007	47.605026	43.100459	61.4	59.411993	49.000459	62.5	17.6	78.721413	16.8	67.874923	70.2	85.4	44.1	40.7	77.1	82.1	49.3
29	1999	42.887202	38.631529	59.2	58.228823	49.810208	61.2	28.1	75.838162	18.6	67.820221	70.9	83.5	47.8	40.2	76.5	81.1	51.2
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
8	1978	27.146192	25.849240	62.5	40.112496	30.527519	49.9	28.1	73.192821	8.4	63.619122	74.3	81.9	41.6	22.5	61.3	71.5	41.8
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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