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
6	1976	22.252760	21.394491	61.3	36.072871	23.430038	44.3	23.9	72.166525	4.5	62.148194	74.4	79.2	41.5	20.0	56.9	65.6	39.2
10	1980	30.759390	28.080381	63.4	43.999257	36.765725	54.7	32.5	74.981032	10.3	65.284130	74.1	83.5	42.8	24.6	65.1	74.6	44.2
0	1970	4.229798	11.921005	59.7	29.088363	9.064439	35.3	13.6	74.535328	0.8	65.570923	73.8	77.1	38.0	13.8	44.4	68.4	36.8
35	2005	47.672754	43.100368	61.4	61.500984	49.791851	63.4	20.6	79.067122	17.9	68.571221	69.9	86.0	45.1	41.6	77.5	81.2	50.0
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)