.. only:: html

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

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

    .. _sphx_glr_auto_functional_modeling_vectorial_functions_plot_aggregated_function.py:


Create an aggregated function
=============================

In this example we are going to build a function that stacks all the outputs from several functions

.. math::
   f = (f_1, \dots, f_n)



.. code-block:: default

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








assume a list of functions to aggregate


.. code-block:: default

    functions = list()
    functions.append(ot.SymbolicFunction(['x1', 'x2', 'x3'],
                                         ['x1^2 + x2', 'x1 + x2 + x3']))
    functions.append(ot.SymbolicFunction(['x1', 'x2', 'x3'],
                                         ['x1 + 2 * x2 + x3', 'x1 + x2 - x3']))








create the aggregated function


.. code-block:: default

    function = ot.AggregatedFunction(functions)








evaluate the function


.. code-block:: default

    x = [1.0, 2.0, 3.0]
    y = function(x)
    print('x=', x, 'y=', y)




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

 Out:

 .. code-block:: none

    x= [1.0, 2.0, 3.0] y= [3,6,8,0]





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

   **Total running time of the script:** ( 0 minutes  0.002 seconds)


.. _sphx_glr_download_auto_functional_modeling_vectorial_functions_plot_aggregated_function.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_aggregated_function.py <plot_aggregated_function.py>`



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

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


.. only:: html

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

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