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

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_probabilistic_modeling_distributions_plot_conditional_random_vector.py>`
        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
==================================

.. GENERATED FROM PYTHON SOURCE LINES 7-12

In this example we are going to build a conditional random vector

.. math::
   \underline{X}|\underline{\Theta}


.. GENERATED FROM PYTHON SOURCE LINES 14-16

.. code-block:: Python

    import openturns as ot








.. GENERATED FROM PYTHON SOURCE LINES 17-18

create the random vector Theta (parameters of X)

.. GENERATED FROM PYTHON SOURCE LINES 18-23

.. code-block:: Python

    gammaDist = ot.Uniform(1.0, 2.0)
    alphaDist = ot.Uniform(0.0, 0.1)
    thetaDist = ot.ComposedDistribution([gammaDist, alphaDist])
    thetaRV = ot.RandomVector(thetaDist)








.. GENERATED FROM PYTHON SOURCE LINES 24-25

create the XgivenTheta distribution

.. GENERATED FROM PYTHON SOURCE LINES 25-27

.. code-block:: Python

    XgivenThetaDist = ot.Exponential()








.. GENERATED FROM PYTHON SOURCE LINES 28-29

create the X distribution

.. GENERATED FROM PYTHON SOURCE LINES 29-31

.. code-block:: Python

    XDist = ot.ConditionalRandomVector(XgivenThetaDist, thetaRV)








.. GENERATED FROM PYTHON SOURCE LINES 32-33

draw a sample

.. GENERATED FROM PYTHON SOURCE LINES 33-34

.. code-block:: Python

    XDist.getSample(5)





.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    <table>
      <tr><td></td><th>X0</th></tr>
      <tr><th>0</th><td>0.5935767</td></tr>
      <tr><th>1</th><td>0.7642794</td></tr>
      <tr><th>2</th><td>1.305296</td></tr>
      <tr><th>3</th><td>0.3351013</td></tr>
      <tr><th>4</th><td>0.3904474</td></tr>
    </table>
    </div>
    <br />
    <br />


.. _sphx_glr_download_auto_probabilistic_modeling_distributions_plot_conditional_random_vector.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

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

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

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_conditional_random_vector.py <plot_conditional_random_vector.py>`