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