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

.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_data_analysis_sample_analysis_plot_visualize_empirical_cdf.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_data_analysis_sample_analysis_plot_visualize_empirical_cdf.py:


Draw the empirical CDF
======================

.. GENERATED FROM PYTHON SOURCE LINES 7-8

In this example we are going to draw the empirical CDF of an unidimensional sample.

.. GENERATED FROM PYTHON SOURCE LINES 10-15

.. code-block:: default

    import openturns as ot
    import openturns.viewer as viewer
    from matplotlib import pylab as plt
    ot.Log.Show(ot.Log.NONE)








.. GENERATED FROM PYTHON SOURCE LINES 16-17

Then create a sample from a gaussian distribution.

.. GENERATED FROM PYTHON SOURCE LINES 19-23

.. code-block:: default

    size = 100
    normal = ot.Normal(1)
    sample = normal.getSample(size)








.. GENERATED FROM PYTHON SOURCE LINES 24-25

We draw the empirical CDF based on the `UserDefined` distribution. By default, the `drawCDF` method requires no input argument.

.. GENERATED FROM PYTHON SOURCE LINES 27-31

.. code-block:: default

    distribution = ot.UserDefined(sample)
    graph = distribution.drawCDF()
    view = viewer.View(graph)




.. image-sg:: /auto_data_analysis/sample_analysis/images/sphx_glr_plot_visualize_empirical_cdf_001.png
   :alt: X0 CDF
   :srcset: /auto_data_analysis/sample_analysis/images/sphx_glr_plot_visualize_empirical_cdf_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 32-33

If required, we can specify the interval that we want to draw. In the following example, these bounds are computed from the minimum and the maximum of the sample.

.. GENERATED FROM PYTHON SOURCE LINES 35-40

.. code-block:: default

    xmin = sample.getMin()[0] - 2.0
    xmax = sample.getMax()[0] + 2.0
    graph = ot.UserDefined(sample).drawCDF(xmin, xmax)
    view = viewer.View(graph)
    plt.show()



.. image-sg:: /auto_data_analysis/sample_analysis/images/sphx_glr_plot_visualize_empirical_cdf_002.png
   :alt: X0 CDF
   :srcset: /auto_data_analysis/sample_analysis/images/sphx_glr_plot_visualize_empirical_cdf_002.png
   :class: sphx-glr-single-img






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

   **Total running time of the script:** ( 0 minutes  0.116 seconds)


.. _sphx_glr_download_auto_data_analysis_sample_analysis_plot_visualize_empirical_cdf.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_visualize_empirical_cdf.py <plot_visualize_empirical_cdf.py>`



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

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


.. only:: html

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

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