In [1]:

!pip install --upgrade altair vega_datasets

In [2]:

## jakevdp recommended install https://jakevdp.github.io/blog/2017/12/05/installing-python-packages-from-jupyter/
# import sys
# !{sys.executable} -m pip install --upgrade altair vega_datasets

In [3]:

import altair as alt
from vega_datasets import data

cars = data.cars()

Faceted Scatter Plot with Linked Brushing¶

This is an example of using an interval selection to control the color of points across multiple facets.

In [4]:

brush = alt.selection(type='interval', resolve='global')

base = alt.Chart(cars).mark_point().encode(
    y='Miles_per_Gallon',
    color=alt.condition(brush, 'Origin', alt.ColorValue('gray'))
).add_selection(
    brush
).properties(
    width=250,
    height=250
)

print("Select a region in the chart below to try this out!")

base.encode(x='Horsepower') | base.encode(x='Acceleration')

Select a region in the chart below to try this out!

Out[4]:

<VegaLite 2 object>

If you see this message, it means the renderer has not been properly enabled
for the frontend that you are using. For more information, see
https://altair-viz.github.io/user_guide/troubleshooting.html

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