:orphan: :html_theme.sidebar_secondary.remove: .. This document is auto-generated by the altair-gallery extension. Do not modify directly. .. _gallery_interactive_legend: Interactive Legend ------------------ The following shows how to create a chart with an interactive legend, by binding the selection to ``"legend"``. Such a binding only works with ``selection_point`` when projected over a single field or encoding. .. altair-plot:: :remove-code: import altair as alt from vega_datasets import data source = data.unemployment_across_industries.url selection = alt.selection_point(fields=['series'], bind='legend') alt.Chart(source).mark_area().encode( alt.X('yearmonth(date):T', axis=alt.Axis(domain=False, format='%Y', tickSize=0)), alt.Y('sum(count):Q', stack='center', axis=None), alt.Color('series:N', scale=alt.Scale(scheme='category20b')), opacity=alt.condition(selection, alt.value(1), alt.value(0.2)) ).add_params( selection ) .. tab-set:: .. tab-item:: Method syntax :sync: method .. code:: python import altair as alt from vega_datasets import data source = data.unemployment_across_industries.url selection = alt.selection_point(fields=['series'], bind='legend') alt.Chart(source).mark_area().encode( alt.X('yearmonth(date):T').axis(domain=False, format='%Y', tickSize=0), alt.Y('sum(count):Q').stack('center').axis(None), alt.Color('series:N').scale(scheme='category20b'), opacity=alt.condition(selection, alt.value(1), alt.value(0.2)) ).add_params( selection ) .. tab-item:: Attribute syntax :sync: attribute .. code:: python import altair as alt from vega_datasets import data source = data.unemployment_across_industries.url selection = alt.selection_point(fields=['series'], bind='legend') alt.Chart(source).mark_area().encode( alt.X('yearmonth(date):T', axis=alt.Axis(domain=False, format='%Y', tickSize=0)), alt.Y('sum(count):Q', stack='center', axis=None), alt.Color('series:N', scale=alt.Scale(scheme='category20b')), opacity=alt.condition(selection, alt.value(1), alt.value(0.2)) ).add_params( selection )