Distribution fitting test using QQ plotΒΆ

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

from __future__ import print_function
import openturns as ot
import openturns.viewer as viewer
from matplotlib import pylab as plt

Create data

distribution = ot.Gumbel(0.2, 0.5)
sample = distribution.getSample(100)

Fit a distribution

distribution = ot.GumbelFactory().build(sample)

Draw QQ plot

graph = ot.VisualTest.DrawQQplot(sample, distribution)
view = viewer.View(graph)
Sample versus model QQ-plot

Incorrect proposition

graph = ot.VisualTest.DrawQQplot(sample, ot.WeibullMin())
view = viewer.View(graph)
Sample versus model QQ-plot

Total running time of the script: ( 0 minutes 0.173 seconds)

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