:orphan: :html_theme.sidebar_secondary.remove: .. This document is auto-generated by the altair-gallery extension. Do not modify directly. .. _gallery_scatter_qq: Quantile-Quantile Plot ---------------------- A quantile-quantile plot comparing input data to theoretical distributions. .. altair-plot:: :remove-code: import altair as alt from vega_datasets import data source = data.normal_2d.url base = alt.Chart(source).transform_quantile( 'u', step=0.01, as_ = ['p', 'v'] ).transform_calculate( uniform = 'quantileUniform(datum.p)', normal = 'quantileNormal(datum.p)' ).mark_point().encode( alt.Y('v:Q') ) base.encode(x='uniform:Q') | base.encode(x='normal:Q') # No channel encoding options are specified in this chart # so the code is the same as for the method-based syntax. .. tab-set:: .. tab-item:: Method syntax :sync: method .. code:: python import altair as alt from vega_datasets import data source = data.normal_2d.url base = alt.Chart(source).transform_quantile( 'u', step=0.01, as_ = ['p', 'v'] ).transform_calculate( uniform = 'quantileUniform(datum.p)', normal = 'quantileNormal(datum.p)' ).mark_point().encode( alt.Y('v:Q') ) base.encode(x='uniform:Q') | base.encode(x='normal:Q') .. tab-item:: Attribute syntax :sync: attribute .. code:: python import altair as alt from vega_datasets import data source = data.normal_2d.url base = alt.Chart(source).transform_quantile( 'u', step=0.01, as_ = ['p', 'v'] ).transform_calculate( uniform = 'quantileUniform(datum.p)', normal = 'quantileNormal(datum.p)' ).mark_point().encode( alt.Y('v:Q') ) base.encode(x='uniform:Q') | base.encode(x='normal:Q') # No channel encoding options are specified in this chart # so the code is the same as for the method-based syntax.