.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_probabilistic_modeling_distributions_plot_gaussian_distribution.py>`     to download the full example code
    .. rst-class:: sphx-glr-example-title

    .. _sphx_glr_auto_probabilistic_modeling_distributions_plot_gaussian_distribution.py:


Create a gaussian distribution
==============================

In this example we are going to create a gaussian distribution with parameters

.. math::
    \mu = 2.2, \sigma = 0.6



.. 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)

    distribution = ot.Normal(2.2, 0.6)
    print(distribution)





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

 Out:

 .. code-block:: none

    Normal(mu = 2.2, sigma = 0.6)





.. code-block:: default

    sample = distribution.getSample(10)
    print(sample)





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

 Out:

 .. code-block:: none

        [ X0      ]
    0 : [ 3.52252 ]
    1 : [ 1.98154 ]
    2 : [ 2.71262 ]
    3 : [ 2.23047 ]
    4 : [ 2.95334 ]
    5 : [ 2.25199 ]
    6 : [ 2.53609 ]
    7 : [ 2.3081  ]
    8 : [ 1.71475 ]
    9 : [ 2.47636 ]





.. code-block:: default

    graph = distribution.drawPDF()
    view = viewer.View(graph)
    plt.show()



.. image:: /auto_probabilistic_modeling/distributions/images/sphx_glr_plot_gaussian_distribution_001.png
    :alt: plot gaussian distribution
    :class: sphx-glr-single-img






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

   **Total running time of the script:** ( 0 minutes  0.069 seconds)


.. _sphx_glr_download_auto_probabilistic_modeling_distributions_plot_gaussian_distribution.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_gaussian_distribution.py <plot_gaussian_distribution.py>`



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

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


.. only:: html

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

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