Step

Download this notebook from GitHub (right-click to download).

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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
39	2009	48.667224	43.348921	61.0	58.489583	48.840474	62.8	18.1	79.532909	16.8	67.969792	69.3	85.1	43.3	40.7	77.1	82.0	49.4
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
26	1996	38.969775	35.926485	58.6	53.789880	48.647393	58.7	27.1	75.035199	16.7	66.437779	69.7	81.3	46.4	37.3	73.9	79.8	48.7
14	1984	31.092947	35.453083	62.1	47.669083	45.124030	59.1	36.8	75.869116	13.5	65.749862	72.1	85.1	46.2	28.0	68.2	75.9	44.1
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

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)

This web page was generated from a Jupyter notebook and not all interactivity will work on this website. Right click to download and run locally for full Python-backed interactivity.

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Download this notebook from GitHub (right-click to download).