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
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
24	1994	36.032674	34.433531	59.4	52.246218	47.983924	58.1	28.5	75.814933	15.7	65.641978	69.1	81.8	47.0	34.8	72.9	78.8	46.8
11	1981	31.318655	29.841694	63.3	45.249512	39.266230	56.4	34.8	75.845123	11.6	65.838322	73.9	84.1	43.2	25.7	66.9	74.7	44.6
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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