.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        Click :ref:`here <sphx_glr_download_auto_data_analysis_statistical_hypothesis_testing_plot_henry_line_graph.py>`     to download the full example code
    .. rst-class:: sphx-glr-example-title

    .. _sphx_glr_auto_data_analysis_statistical_hypothesis_testing_plot_henry_line_graph.py:


Normal fitting test using the Henry line
========================================

In this example we are going to perform a visual goodness-of-fit test for an univariate normal distribution using the Henry line test, which is the QQ plot adapted for Gaussian distirbutions.


.. code-block:: default

    from __future__ import print_function
    import openturns as ot
    import openturns.viewer as viewer
    from matplotlib import pylab as plt
    ot.Log.Show(ot.Log.NONE)








Create data


.. code-block:: default

    ot.RandomGenerator.SetSeed(0)
    distribution = ot.Normal(2.0, 0.5)
    sample1 = distribution.getSample(100)








Draw Henry line plot (good)


.. code-block:: default

    graph = ot.VisualTest_DrawHenryLine(sample1)
    view = viewer.View(graph)




.. image:: /auto_data_analysis/statistical_hypothesis_testing/images/sphx_glr_plot_henry_line_graph_001.png
    :alt: Henry plot
    :class: sphx-glr-single-img





Draw Henry line plot for a Beta (bad)


.. code-block:: default

    sample2 = ot.Beta(0.7, 0.9, 0.0, 2.0).getSample(100)
    graph = ot.VisualTest_DrawHenryLine(sample2)
    view = viewer.View(graph)
    plt.show()



.. image:: /auto_data_analysis/statistical_hypothesis_testing/images/sphx_glr_plot_henry_line_graph_002.png
    :alt: Henry plot
    :class: sphx-glr-single-img






.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  0.156 seconds)


.. _sphx_glr_download_auto_data_analysis_statistical_hypothesis_testing_plot_henry_line_graph.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download sphx-glr-download-python

     :download:`Download Python source code: plot_henry_line_graph.py <plot_henry_line_graph.py>`



  .. container:: sphx-glr-download sphx-glr-download-jupyter

     :download:`Download Jupyter notebook: plot_henry_line_graph.ipynb <plot_henry_line_graph.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_