Py.Cafe

maartenbreddels/

altair-car-performance-interactive

Interactive Car Performance visualization with Altair

DocsPricing
  • app.py
  • requirements.txt
app.py
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import altair as alt
from vega_datasets import data

source = data.cars()

brush = alt.selection_interval()

points = alt.Chart(source).mark_point().encode(
    x='Horsepower',
    y='Miles_per_Gallon',
    color=alt.condition(brush, 'Origin', alt.value('lightgray'))
).add_params(
    brush
)

bars = alt.Chart(source).mark_bar().encode(
    y='Origin',
    color='Origin',
    x='count(Origin)'
).transform_filter(
    brush
)

chart = points & bars

# assign a widget to page so solara knows what to render
page = alt.JupyterChart(chart)
requirements.txt
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solara
altair
vega_datasets
anywidget