Distribution fitting test using QQ plot¶

In this example we are going to perform a visual goodness-of-fit test for an 1-d distribution with the QQ plot.

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from __future__ import print_function
import openturns as ot

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# Create data
ot.RandomGenerator.SetSeed(0)
distribution = ot.Gumbel(0.2, 0.5)
sample = distribution.getSample(100)
sample.setDescription(['Sample'])

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# Fit a distribution
distribution = ot.GumbelFactory().build(sample)

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# Draw QQ plot
ot.VisualTest.DrawQQplot(sample, distribution)

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# Incorrect proposition
ot.VisualTest.DrawQQplot(sample, ot.WeibullMin())

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OpenTURNS