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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
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
33 2003 47.935187 42.758543 61.1 62.169456 50.345598 64.6 25.1 78.544948 18.8 68.894487 70.6 86.5 46.0 41.7 77.8 81.5 50.9
21 1991 34.711837 33.679881 62.1 51.468805 47.224325 60.8 28.7 78.991246 14.0 66.241475 71.1 83.5 47.0 32.6 73.2 78.2 45.5
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
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)