packages = [ "altair", "pandas", "vega_datasets" ]
import altair as alt from vega_datasets import data source = data.movies.url pts = alt.selection(type="single", encodings=['x']) rect = alt.Chart(data.movies.url).mark_rect().encode( alt.X('IMDB_Rating:Q', bin=True), alt.Y('Rotten_Tomatoes_Rating:Q', bin=True), alt.Color('count()', scale=alt.Scale(scheme='greenblue'), legend=alt.Legend(title='Total Records') ) ) circ = rect.mark_point().encode( alt.ColorValue('grey'), alt.Size('count()', legend=alt.Legend(title='Records in Selection') ) ).transform_filter( pts ) bar = alt.Chart(source).mark_bar().encode( x='Major_Genre:N', y='count()', color=alt.condition(pts, alt.ColorValue("steelblue"), alt.ColorValue("grey")) ).properties( width=550, height=200 ).add_selection(pts) alt.vconcat( rect + circ, bar ).resolve_legend( color="independent", size="independent" )