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

.. only:: html

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

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

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

.. _sphx_glr_auto_examples_plot_running_median.py:


Running median example
========================

Plot running median on a data set

.. GENERATED FROM PYTHON SOURCE LINES 7-33



.. image-sg:: /auto_examples/images/sphx_glr_plot_running_median_001.png
   :alt: plot running median
   :srcset: /auto_examples/images/sphx_glr_plot_running_median_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none


    (10.0, 50.0)





|

.. code-block:: Python



    from pylab import *

    from sequana.running_median import RunningMedian

    N = 1000
    X = linspace(0, N - 1, N)

    # Create some interesting data with SNP and longer over
    # represented section.
    data = 20 + randn(N) + sin(X * 2 * pi / 1000.0 * 5)
    data[300:350] += 10
    data[500:505] += 100
    data[700] = 1000

    plot(X, data, "k", label="data")
    rm = RunningMedian(data, 101)
    plot(X, rm.run(), "r", label="median W=201")

    from sequana.stats import moving_average as ma

    plot(X[100:-100], ma(data, 201), "g", label="mean W=201")
    grid()
    legend()
    ylim([10, 50])


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

   **Total running time of the script:** (0 minutes 0.049 seconds)


.. _sphx_glr_download_auto_examples_plot_running_median.py:

.. only:: html

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

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

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

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

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

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_running_median.zip <plot_running_median.zip>`


.. only:: html

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

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