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

.. only:: html

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

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

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

.. _sphx_glr_auto_probabilistic_modeling_stochastic_processes_plot_aggregated_process.py:


Aggregate processes
===================

.. GENERATED FROM PYTHON SOURCE LINES 6-7

In this example we are going to concatenate several processes that share the same mesh.

.. GENERATED FROM PYTHON SOURCE LINES 9-15

.. code-block:: Python

    import openturns as ot
    import openturns.viewer as viewer
    from matplotlib import pylab as plt

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








.. GENERATED FROM PYTHON SOURCE LINES 16-17

Create processes to aggregate

.. GENERATED FROM PYTHON SOURCE LINES 17-26

.. code-block:: Python

    myMesher = ot.IntervalMesher([100, 10])
    lowerbound = [0.0, 0.0]
    upperBound = [2.0, 4.0]
    myInterval = ot.Interval(lowerbound, upperBound)
    myMesh = myMesher.build(myInterval)
    myProcess1 = ot.WhiteNoise(ot.Normal(), myMesh)
    myProcess2 = ot.WhiteNoise(ot.Triangular(), myMesh)









.. GENERATED FROM PYTHON SOURCE LINES 27-28

Draw values of a realization of the 2nd process

.. GENERATED FROM PYTHON SOURCE LINES 28-32

.. code-block:: Python

    marginal = ot.HistogramFactory().build(myProcess1.getRealization().getValues())
    graph = marginal.drawPDF()
    view = viewer.View(graph)




.. image-sg:: /auto_probabilistic_modeling/stochastic_processes/images/sphx_glr_plot_aggregated_process_001.png
   :alt: X0 PDF
   :srcset: /auto_probabilistic_modeling/stochastic_processes/images/sphx_glr_plot_aggregated_process_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 33-34

Create an aggregated process

.. GENERATED FROM PYTHON SOURCE LINES 34-36

.. code-block:: Python

    myAggregatedProcess = ot.AggregatedProcess([myProcess1, myProcess2])








.. GENERATED FROM PYTHON SOURCE LINES 37-38

Draw values of the realization on the 2nd marginal

.. GENERATED FROM PYTHON SOURCE LINES 38-44

.. code-block:: Python

    marginal = ot.HistogramFactory().build(
        myAggregatedProcess.getRealization().getValues().getMarginal(0)
    )
    graph = marginal.drawPDF()
    viewer.View(graph)
    plt.show()



.. image-sg:: /auto_probabilistic_modeling/stochastic_processes/images/sphx_glr_plot_aggregated_process_002.png
   :alt: X0 PDF
   :srcset: /auto_probabilistic_modeling/stochastic_processes/images/sphx_glr_plot_aggregated_process_002.png
   :class: sphx-glr-single-img






.. _sphx_glr_download_auto_probabilistic_modeling_stochastic_processes_plot_aggregated_process.py:

.. only:: html

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

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

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

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

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