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

.. only:: html

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

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

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

.. _sphx_glr_auto_reliability_sensitivity_reliability_plot_event_manipulation.py:


Simulate an Event
=================

.. GENERATED FROM PYTHON SOURCE LINES 6-13

In this example we are going to define an Event from a scalar variable :math:`Y` in the form:

.. math::
   Y > T

with :math:`T` a scalar threshold


.. GENERATED FROM PYTHON SOURCE LINES 15-20

.. code-block:: default

    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 21-22

Create model f(x) = x1 + 2*x2

.. GENERATED FROM PYTHON SOURCE LINES 22-33

.. code-block:: default

    model = ot.SymbolicFunction(['x1', 'x2'], ['x1+2*x2'])

    # Create the input distribution and random vector X
    inputDist = ot.Normal(2)
    inputDist.setDescription(['X1', 'X2'])

    inputVector = ot.RandomVector(inputDist)

    # Create the output random vector Y=f(X)
    outputVector = ot.CompositeRandomVector(model, inputVector)








.. GENERATED FROM PYTHON SOURCE LINES 34-35

Create the event Y > 3

.. GENERATED FROM PYTHON SOURCE LINES 35-38

.. code-block:: default

    threshold = 3.0
    event = ot.ThresholdEvent(outputVector, ot.Greater(), threshold)








.. GENERATED FROM PYTHON SOURCE LINES 39-40

Realization as a Bernoulli

.. GENERATED FROM PYTHON SOURCE LINES 40-42

.. code-block:: default

    print('realization=', event.getRealization())





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

 Out:

 .. code-block:: none

    realization= [0]




.. GENERATED FROM PYTHON SOURCE LINES 43-44

Sample of 10 realizations as a Bernoulli

.. GENERATED FROM PYTHON SOURCE LINES 44-46

.. code-block:: default

    print('sample=', event.getSample(10))





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

 Out:

 .. code-block:: none

    sample=     [ y0 ]
    0 : [ 0  ]
    1 : [ 0  ]
    2 : [ 0  ]
    3 : [ 0  ]
    4 : [ 0  ]
    5 : [ 0  ]
    6 : [ 0  ]
    7 : [ 0  ]
    8 : [ 0  ]
    9 : [ 0  ]




.. GENERATED FROM PYTHON SOURCE LINES 47-48

Build a standard event based on an event

.. GENERATED FROM PYTHON SOURCE LINES 48-49

.. code-block:: default

    standardEvent = ot.StandardEvent(event)








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

   **Total running time of the script:** ( 0 minutes  0.003 seconds)


.. _sphx_glr_download_auto_reliability_sensitivity_reliability_plot_event_manipulation.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_event_manipulation.py <plot_event_manipulation.py>`



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

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


.. only:: html

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

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