64 lines
1.6 KiB
Python
64 lines
1.6 KiB
Python
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"""
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Ridgeline plot Example
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----------------------
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A `Ridgeline plot <https://serialmentor.com/blog/2017/9/15/goodbye-joyplots>`_
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chart is a chart that lets you visualize distribution of a numeric value for
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several groups.
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Such a chart can be created in Altair by first transforming the data into a
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suitable representation.
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"""
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# category: other charts
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import altair as alt
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from vega_datasets import data
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source = data.seattle_weather.url
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step = 20
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overlap = 1
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alt.Chart(source, height=step).transform_timeunit(
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Month='month(date)'
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).transform_joinaggregate(
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mean_temp='mean(temp_max)', groupby=['Month']
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).transform_bin(
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['bin_max', 'bin_min'], 'temp_max'
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).transform_aggregate(
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value='count()', groupby=['Month', 'mean_temp', 'bin_min', 'bin_max']
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).transform_impute(
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impute='value', groupby=['Month', 'mean_temp'], key='bin_min', value=0
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).mark_area(
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interpolate='monotone',
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fillOpacity=0.8,
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stroke='lightgray',
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strokeWidth=0.5
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).encode(
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alt.X('bin_min:Q', bin='binned', title='Maximum Daily Temperature (C)'),
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alt.Y(
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'value:Q',
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scale=alt.Scale(range=[step, -step * overlap]),
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axis=None
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),
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alt.Fill(
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'mean_temp:Q',
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legend=None,
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scale=alt.Scale(domain=[30, 5], scheme='redyellowblue')
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)
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).facet(
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row=alt.Row(
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'Month:T',
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title=None,
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header=alt.Header(labelAngle=0, labelAlign='right', format='%B')
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)
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).properties(
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title='Seattle Weather',
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bounds='flush'
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).configure_facet(
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spacing=0
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).configure_view(
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stroke=None
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).configure_title(
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anchor='end'
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)
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