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"""
Facetted Scatter Plot with Marginal Histograms
----------------------------------------------
This example demonstrates how to generate a facetted scatter plot,
with marginal facetted histograms, and how to share their respective
- x,some y-limits.
"""
# category: distributions
import altair as alt
from vega_datasets import data
source = data.iris()
base = alt.Chart(source)
xscale = alt.Scale(domain=(4.0, 8.0))
yscale = alt.Scale(domain=(1.9, 4.55))
bar_args = {'opacity': .3, 'binSpacing': 0}
points = base.mark_circle().encode(
alt.X('sepalLength', scale=xscale),
alt.Y('sepalWidth', scale=yscale),
color='species',
)
top_hist = base.mark_bar(**bar_args).encode(
alt.X('sepalLength:Q',
# when using bins, the axis scale is set through
# the bin extent, so we do not specify the scale here
# (which would be ignored anyway)
bin=alt.Bin(maxbins=20, extent=xscale.domain),
stack=None,
title=''
),
alt.Y('count()', stack=None, title=''),
alt.Color('species:N'),
).properties(height=60)
right_hist = base.mark_bar(**bar_args).encode(
alt.Y('sepalWidth:Q',
bin=alt.Bin(maxbins=20, extent=yscale.domain),
stack=None,
title='',
),
alt.X('count()', stack=None, title=''),
alt.Color('species:N'),
).properties(width=60)
top_hist & (points | right_hist)
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