.. 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_plot_design.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_reliability_sensitivity_design_of_experiments_plot_plot_design.py>`
        to download the full example code

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

.. _sphx_glr_auto_reliability_sensitivity_design_of_experiments_plot_plot_design.py:


The PlotDesign method
=====================

The goal of this example is to present the features of the PlotDesign static method.

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Distribution
------------

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.. code-block:: Python

    import matplotlib.pyplot as plt
    import openturns as ot
    import openturns.viewer as otv

    ot.Log.Show(ot.Log.NONE)








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In two dimensions
-----------------

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.. code-block:: Python

    dim = 2
    X = [ot.Uniform()] * dim
    distribution = ot.ComposedDistribution(X)








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.. code-block:: Python

    sampleSize = 10
    sample = distribution.getSample(sampleSize)








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With default parameters the bounds are computed from the sample.

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.. code-block:: Python

    fig = otv.PlotDesign(sample)




.. image-sg:: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_001.png
   :alt: plot plot design
   :srcset: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_001.png
   :class: sphx-glr-single-img





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Set the bounds.

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.. code-block:: Python

    bounds = distribution.getRange()








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.. code-block:: Python

    fig = otv.PlotDesign(sample, bounds)




.. image-sg:: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_002.png
   :alt: plot plot design
   :srcset: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_002.png
   :class: sphx-glr-single-img





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Configure the size of the plot.

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.. code-block:: Python

    fig = otv.PlotDesign(sample)
    fig.set_size_inches(10, 10)




.. image-sg:: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_003.png
   :alt: plot plot design
   :srcset: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_003.png
   :class: sphx-glr-single-img





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Configure the number of subdivisions in each direction.

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.. code-block:: Python

    fig = otv.PlotDesign(sample, subdivisions=[10, 5])




.. image-sg:: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_004.png
   :alt: plot plot design
   :srcset: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_004.png
   :class: sphx-glr-single-img





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Disable the ticks.

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.. code-block:: Python

    fig = otv.PlotDesign(sample, enableTicks=False)




.. image-sg:: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_005.png
   :alt: plot plot design
   :srcset: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_005.png
   :class: sphx-glr-single-img





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Configure the marker.

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.. code-block:: Python

    fig = otv.PlotDesign(sample, plot_kw={"marker": ".", "color": "red"})




.. image-sg:: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_006.png
   :alt: plot plot design
   :srcset: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_006.png
   :class: sphx-glr-single-img





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Create the figure beforehand.

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.. code-block:: Python

    fig = plt.figure()
    fig.suptitle("My suptitle")
    fig = otv.PlotDesign(sample, figure=fig)




.. image-sg:: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_007.png
   :alt: My suptitle
   :srcset: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_007.png
   :class: sphx-glr-single-img





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In three dimensions
-------------------

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.. code-block:: Python

    dim = 3
    X = [ot.Uniform()] * dim
    distribution = ot.ComposedDistribution(X)








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.. code-block:: Python

    sampleSize = 10
    sample = distribution.getSample(sampleSize)








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.. code-block:: Python

    fig = otv.PlotDesign(sample)
    fig.set_size_inches(10, 10)




.. image-sg:: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_008.png
   :alt: plot plot design
   :srcset: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_008.png
   :class: sphx-glr-single-img





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Configure the number of subdivisions.

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.. code-block:: Python

    fig = otv.PlotDesign(sample, subdivisions=[12, 6, 3])
    fig.set_size_inches(10, 10)




.. image-sg:: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_009.png
   :alt: plot plot design
   :srcset: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_009.png
   :class: sphx-glr-single-img





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Configure the bounds.

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.. code-block:: Python

    bounds = distribution.getRange()
    fig = otv.PlotDesign(sample, bounds)
    fig.set_size_inches(10, 10)




.. image-sg:: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_010.png
   :alt: plot plot design
   :srcset: /auto_reliability_sensitivity/design_of_experiments/images/sphx_glr_plot_plot_design_010.png
   :class: sphx-glr-single-img






.. _sphx_glr_download_auto_reliability_sensitivity_design_of_experiments_plot_plot_design.py:

.. only:: html

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

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

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

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

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