<reponame>progressivis/altair_examples
"""
Quantile-Quantile Plot
----------------------
A quantile-quantile plot comparing input data to theoretical distributions.
"""
# category: scatter plots

import altair as alt
from vega_datasets import data

source = data.normal_2d()

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")

"""
Quantile-Quantile Plot
----------------------
A quantile-quantile plot comparing input data to theoretical distributions.
"""
# category: scatter plots

import altair as alt
from vega_datasets import data

source = data.normal_2d()

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")
Quantile-Quantile Plot ---------------------- A quantile-quantile plot comparing input data to theoretical distributions. # category: scatter plots