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36 lines
1.0 KiB
Python
36 lines
1.0 KiB
Python
"""
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Stacked Density Estimates
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-------------------------
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To plot a stacked graph of estimates, use a shared ``extent`` and a fixed
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number of subdivision ``steps`` to ensure that the points for each area align
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well. Density estimates of measurements for each iris flower feature are plot
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in a stacked method. In addition, setting ``counts`` to true multiplies the
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densities by the number of data points in each group, preserving proportional
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differences.
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"""
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# category: area charts
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import altair as alt
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from vega_datasets import data
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source = data.iris()
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alt.Chart(source).transform_fold(
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['petalWidth',
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'petalLength',
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'sepalWidth',
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'sepalLength'],
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as_ = ['Measurement_type', 'value']
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).transform_density(
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density='value',
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bandwidth=0.3,
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groupby=['Measurement_type'],
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extent= [0, 8],
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counts = True,
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steps=200
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).mark_area().encode(
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alt.X('value:Q'),
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alt.Y('density:Q', stack='zero'),
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alt.Color('Measurement_type:N')
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).properties(width=400, height=100)
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