.. 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_conditional_random_vector.py: Create a conditional random vector ================================== In this example we are going to build a conditional random vector .. math:: \underline{X}|\underline{\Theta} .. code-block:: default from __future__ import print_function import openturns as ot import openturns.viewer as viewer from matplotlib import pylab as plt create the random vector Theta (parameters of X) .. code-block:: default gammaDist = ot.Uniform(1.0, 2.0) alphaDist = ot.Uniform(0.0, 0.1) thetaDist = ot.ComposedDistribution([gammaDist, alphaDist]) thetaRV = ot.RandomVector(thetaDist) create the XgivenTheta distribution .. code-block:: default XgivenThetaDist = ot.Exponential() create the X distribution .. code-block:: default XDist = ot.ConditionalRandomVector(XgivenThetaDist, thetaRV) draw a sample .. code-block:: default XDist.getSample(5) .. raw:: html
X0
01.812024
10.1309253
20.1192632
30.1325812
40.6158109


.. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 0.001 seconds) .. _sphx_glr_download_auto_probabilistic_modeling_distributions_plot_conditional_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_conditional_random_vector.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_conditional_random_vector.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_