

.. _sphx_glr_gallery_pylab_examples_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.




.. image:: /gallery/pylab_examples/images/sphx_glr_eventplot_demo_001.png
    :align: center





.. code-block:: python


    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 = np.array([[1, 0, 0],
                        [0, 1, 0],
                        [0, 0, 1],
                        [1, 1, 0],
                        [1, 0, 1],
                        [0, 1, 1]])

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

    fig = plt.figure()

    # create a horizontal plot
    ax1 = fig.add_subplot(221)
    ax1.eventplot(data1, colors=colors1, lineoffsets=lineoffsets1,
                  linelengths=linelengths1)


    # create a vertical plot
    ax2 = fig.add_subplot(223)
    ax2.eventplot(data1, colors=colors1, lineoffsets=lineoffsets1,
                  linelengths=linelengths1, orientation='vertical')

    # create another set of random data.
    # the gamma distribution is only used fo 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 = [[0, 0, 0]]
    lineoffsets2 = 1
    linelengths2 = 1

    # create a horizontal plot
    ax1 = fig.add_subplot(222)
    ax1.eventplot(data2, colors=colors2, lineoffsets=lineoffsets2,
                  linelengths=linelengths2)


    # create a vertical plot
    ax2 = fig.add_subplot(224)
    ax2.eventplot(data2, colors=colors2, lineoffsets=lineoffsets2,
                  linelengths=linelengths2, orientation='vertical')

    plt.show()

**Total running time of the script:** ( 0 minutes  0.234 seconds)



.. container:: sphx-glr-footer


  .. container:: sphx-glr-download

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



  .. container:: sphx-glr-download

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

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

    `Generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_
