.. only:: html

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

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

    .. _sphx_glr_auto_probabilistic_modeling_distributions_plot_maximum_distribution.py:


Create a maximum distribution
=============================

In this example we are going to build the distribution of the maximum of independent distributions.


.. 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 a collection of distribution


.. code-block:: default

    distribution1 = ot.Normal()
    distribution2 = ot.Uniform(-1.0, 2.0)
    distColl = [distribution1, distribution2]








create the distribution


.. code-block:: default

    distribution = ot.MaximumDistribution(distColl)
    print(distribution)





.. rst-class:: sphx-glr-script-out

 Out:

 .. code-block:: none

    MaximumDistribution(ComposedDistribution(Normal(mu = 0, sigma = 1), Uniform(a = -1, b = 2), IndependentCopula(dimension = 2)))




draw PDF


.. code-block:: default

    graph = distribution.drawPDF()
    view = viewer.View(graph)
    plt.show()



.. image:: /auto_probabilistic_modeling/distributions/images/sphx_glr_plot_maximum_distribution_001.png
    :alt: plot maximum distribution
    :class: sphx-glr-single-img






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

   **Total running time of the script:** ( 0 minutes  0.070 seconds)


.. _sphx_glr_download_auto_probabilistic_modeling_distributions_plot_maximum_distribution.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_maximum_distribution.py <plot_maximum_distribution.py>`



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

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


.. only:: html

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

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