.. only:: html
.. note::
:class: sphx-glr-download-link-note
Click :ref:`here ` to download the full example code
.. rst-class:: sphx-glr-example-title
.. _sphx_glr_auto_reliability_sensitivity_reliability_plot_event_manipulation.py:
Event manipulation
==================
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
.. code-block:: default
from __future__ import print_function
import openturns as ot
import openturns.viewer as viewer
from matplotlib import pylab as plt
ot.Log.Show(ot.Log.NONE)
Create model f(x) = x1 + 2*x2
.. 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)
Create the event Y > 3
.. code-block:: default
threshold = 3.0
event = ot.ThresholdEvent(outputVector, ot.Greater(), threshold)
Realization as a Bernoulli
.. code-block:: default
print('realization=' , event.getRealization())
.. rst-class:: sphx-glr-script-out
Out:
.. code-block:: none
realization= [0]
Sample of 10 realizations as a Bernoulli
.. 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 : [ 1 ]
4 : [ 0 ]
5 : [ 0 ]
6 : [ 0 ]
7 : [ 0 ]
8 : [ 0 ]
9 : [ 0 ]
Build a standard event based on an event
.. 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 `
.. container:: sphx-glr-download sphx-glr-download-jupyter
:download:`Download Jupyter notebook: plot_event_manipulation.ipynb `
.. only:: html
.. rst-class:: sphx-glr-signature
`Gallery generated by Sphinx-Gallery `_