.. 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_probabilistic_modeling_distributions_plot_composite_random_vector.py: Composite random vector ======================= In this example we are going to create a random variable :math:`\underline{Y}` which realizations are the images of the realizations of another random vector :math:`\underline{X}` by a function. .. math:: \underline{Y} = f(\underline{X}) .. 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) Create a random vector based on a distribution .. code-block:: default dist2d = ot.Normal(2) X = ot.RandomVector(dist2d) Create the function .. code-block:: default f = ot.SymbolicFunction(['x1', 'x2'], ['x1 + x2', 'x1*x2']) f .. raw:: html

[x1,x2]->[x1 + x2,x1*x2]



Create the composite random vector .. code-block:: default Y = ot.CompositeRandomVector(f, X) .. code-block:: default Y.getSample(5) .. raw:: html
y0y1
0-0.2864335-0.4336809
11.617266-0.03661119
20.8772776-0.9895433
33.9494243.633858
4-3.5299363.078517


.. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 0.002 seconds) .. _sphx_glr_download_auto_probabilistic_modeling_distributions_plot_composite_random_vector.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_composite_random_vector.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_composite_random_vector.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_