.. _sphx_glr_auto_examples_plot_normal_distribution.py:


===============================
Showing the normal distribution
===============================

Example of drawing normally distributed random number with threefry.




.. image:: /auto_examples/images/sphx_glr_plot_normal_distribution_001.png
    :align: center





.. code-block:: python


    import threefry
    import matplotlib.pyplot as plt

    r = threefry.rng(8255078853756962490)

    data = [r.random_normal() for i in range(5000)]

    plt.hist(data, bins=32, normed=True)
    plt.xlabel(r'$x$')
    plt.ylabel(r'$P(x)$')
    plt.show()

**Total running time of the script:** ( 0 minutes  0.117 seconds)



.. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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

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

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