.. _pylab_examples-eventplot_demo:

pylab_examples example code: eventplot_demo.py
==============================================



.. plot:: /build/matplotlib-Gi1JJZ/matplotlib-1.5.1/doc/mpl_examples/pylab_examples/eventplot_demo.py

::

    #!/usr/bin/env python
    # -*- Coding:utf-8 -*-
    '''an eventplot showing sequences of events with various line properties
    the plot is shown in both horizontal and vertical orientations'''
    
    import matplotlib.pyplot as plt
    import numpy as np
    import matplotlib
    matplotlib.rcParams['font.size'] = 8.0
    
    # set the random seed
    np.random.seed(0)
    
    # 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()
    

Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)