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

.. only:: html

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

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

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

.. _sphx_glr_gallery_lines_bars_and_markers_eventplot_demo.py:


==============
Eventplot Demo
==============

An eventplot showing sequences of events with various line properties.
The plot is shown in both horizontal and vertical orientations.

.. GENERATED FROM PYTHON SOURCE LINES 9-61



.. image:: /gallery/lines_bars_and_markers/images/sphx_glr_eventplot_demo_001.png
    :alt: eventplot demo
    :class: sphx-glr-single-img





.. code-block:: default


    import matplotlib.pyplot as plt
    import numpy as np
    import matplotlib
    matplotlib.rcParams['font.size'] = 8.0

    # Fixing random state for reproducibility
    np.random.seed(19680801)


    # create random data
    data1 = np.random.random([6, 50])

    # set different colors for each set of positions
    colors1 = ['C{}'.format(i) for i in range(6)]

    # set different line properties for each set of positions
    # note that some overlap
    lineoffsets1 = [-15, -3, 1, 1.5, 6, 10]
    linelengths1 = [5, 2, 1, 1, 3, 1.5]

    fig, axs = plt.subplots(2, 2)

    # create a horizontal plot
    axs[0, 0].eventplot(data1, colors=colors1, lineoffsets=lineoffsets1,
                        linelengths=linelengths1)

    # create a vertical plot
    axs[1, 0].eventplot(data1, colors=colors1, lineoffsets=lineoffsets1,
                        linelengths=linelengths1, orientation='vertical')

    # create another set of random data.
    # the gamma distribution is only used for aesthetic purposes
    data2 = np.random.gamma(4, size=[60, 50])

    # use individual values for the parameters this time
    # these values will be used for all data sets (except lineoffsets2, which
    # sets the increment between each data set in this usage)
    colors2 = 'black'
    lineoffsets2 = 1
    linelengths2 = 1

    # create a horizontal plot
    axs[0, 1].eventplot(data2, colors=colors2, lineoffsets=lineoffsets2,
                        linelengths=linelengths2)


    # create a vertical plot
    axs[1, 1].eventplot(data2, colors=colors2, lineoffsets=lineoffsets2,
                        linelengths=linelengths2, orientation='vertical')

    plt.show()


.. _sphx_glr_download_gallery_lines_bars_and_markers_eventplot_demo.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: eventplot_demo.py <eventplot_demo.py>`



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

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


.. only:: html

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

    Keywords: matplotlib code example, codex, python plot, pyplot
    `Gallery generated by Sphinx-Gallery
    <https://sphinx-gallery.readthedocs.io>`_
