.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_reliability_sensitivity/design_of_experiments/plot_probabilistic_design.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_reliability_sensitivity_design_of_experiments_plot_probabilistic_design.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_probabilistic_design.py:


Probabilistic design of experiments
===================================

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In this example we are going to expose the available probabilistic design of experiments generated according to a specified distribution and a specified number of points.

.. GENERATED FROM PYTHON SOURCE LINES 9-16

.. code-block:: default

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








.. GENERATED FROM PYTHON SOURCE LINES 17-18

Create the target distribution

.. GENERATED FROM PYTHON SOURCE LINES 18-21

.. code-block:: default

    distribution = ot.Normal(2)
    N = 300








.. GENERATED FROM PYTHON SOURCE LINES 22-23

1. Monte Carlo

.. GENERATED FROM PYTHON SOURCE LINES 23-28

.. code-block:: default

    experiment = ot.MonteCarloExperiment(distribution, N)
    sample = experiment.generate()
    graph = ot.Cloud(sample)
    view = viewer.View(graph)




.. image-sg:: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_probabilistic_design_001.png
   :alt: plot probabilistic design
   :srcset: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_probabilistic_design_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 29-30

2. LHS

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.. code-block:: default

    experiment = ot.LHSExperiment(distribution, N)
    sample = experiment.generate()
    graph = ot.Cloud(sample)
    view = viewer.View(graph)
    plt.show()



.. image-sg:: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_probabilistic_design_002.png
   :alt: plot probabilistic design
   :srcset: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_probabilistic_design_002.png
   :class: sphx-glr-single-img






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

   **Total running time of the script:** ( 0 minutes  0.100 seconds)


.. _sphx_glr_download_auto_reliability_sensitivity_design_of_experiments_plot_probabilistic_design.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_probabilistic_design.py <plot_probabilistic_design.py>`



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

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


.. only:: html

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

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