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

.. only:: html

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

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

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

.. _sphx_glr_examples_post_process_algorithms_plot_history_scatter_matrix.py:


Scatter plot matrix
===================

In this example, we illustrate the use of the :class:`.ScatterPlotMatrix`
post-processing on the Sobieski's SSBJ problem.

The :class:`.ScatterPlotMatrix` post-processing provide the scatter plot matrix among
design variables and outputs functions. Each non-diagonal block represents the samples
according to the x- and y- coordinates names while the diagonal ones approximate
the probability distributions of the variables, using a kernel-density estimator.

.. GENERATED FROM PYTHON SOURCE LINES 33-47



.. image-sg:: /examples/post_process/algorithms/images/sphx_glr_plot_history_scatter_matrix_001.png
   :alt: plot history scatter matrix
   :srcset: /examples/post_process/algorithms/images/sphx_glr_plot_history_scatter_matrix_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none

        INFO - 16:25:52: Importing the optimization problem from the file sobieski_mdf_scenario.h5

    <gemseo.post.scatter_plot_matrix.ScatterPlotMatrix object at 0x72a4d5d87410>





|

.. code-block:: Python


    from __future__ import annotations

    from gemseo import execute_post
    from gemseo.settings.post import ScatterPlotMatrix_Settings

    execute_post(
        "sobieski_mdf_scenario.h5",
        settings_model=ScatterPlotMatrix_Settings(
            variable_names=["x_shared", "x_1", "x_2", "x_3", "-y_4"],
            save=False,
            show=True,
        ),
    )


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

   **Total running time of the script:** (0 minutes 2.271 seconds)


.. _sphx_glr_download_examples_post_process_algorithms_plot_history_scatter_matrix.py:

.. only:: html

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

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

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

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

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

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_history_scatter_matrix.zip <plot_history_scatter_matrix.zip>`


.. only:: html

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

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