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

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_auto_data_analysis_manage_data_and_samples_plot_randomize_sample_lines.py>`
        to download the full example code

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

.. _sphx_glr_auto_data_analysis_manage_data_and_samples_plot_randomize_sample_lines.py:


Randomize the lines of a Sample
===============================

.. GENERATED FROM PYTHON SOURCE LINES 6-8

.. code-block:: Python

    import openturns as ot








.. GENERATED FROM PYTHON SOURCE LINES 9-11

In this short example we present a simple way to mix the lines of a sample
thanks to the :class:`~openturns.KPermutationsDistribution` class.

.. GENERATED FROM PYTHON SOURCE LINES 13-14

We first define a small sample of size :math:`N` based on a standard unit gaussian distribution.

.. GENERATED FROM PYTHON SOURCE LINES 14-18

.. code-block:: Python

    distribution = ot.Normal()
    N = 5
    sample = distribution.getSample(N)








.. GENERATED FROM PYTHON SOURCE LINES 19-20

We print the sample :

.. GENERATED FROM PYTHON SOURCE LINES 20-22

.. code-block:: Python

    print(sample)





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

 .. code-block:: none

        [ X0        ]
    0 : [ -0.721533 ]
    1 : [ -0.241223 ]
    2 : [ -1.78796  ]
    3 : [  0.40136  ]
    4 : [  1.36783  ]




.. GENERATED FROM PYTHON SOURCE LINES 23-25

A new set of randomly mixed indices is a realization of a permutation of N elements amongst N :


.. GENERATED FROM PYTHON SOURCE LINES 25-28

.. code-block:: Python

    mixingDistribution = ot.KPermutationsDistribution(N, N)
    newIndices = mixingDistribution.getSample(1)[0, :]








.. GENERATED FROM PYTHON SOURCE LINES 29-30

The new indices will be these ones :

.. GENERATED FROM PYTHON SOURCE LINES 30-32

.. code-block:: Python

    print("New indices : ", newIndices)





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

 .. code-block:: none

    New indices :  [2,3,1,4,0]




.. GENERATED FROM PYTHON SOURCE LINES 33-34

Eventually the randomized sample is

.. GENERATED FROM PYTHON SOURCE LINES 34-35

.. code-block:: Python

    print(sample[[int(i) for i in newIndices]])




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

 .. code-block:: none

        [ X0        ]
    0 : [ -1.78796  ]
    1 : [  0.40136  ]
    2 : [ -0.241223 ]
    3 : [  1.36783  ]
    4 : [ -0.721533 ]





.. _sphx_glr_download_auto_data_analysis_manage_data_and_samples_plot_randomize_sample_lines.py:

.. only:: html

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

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

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

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

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