.. _pylab_examples-eventplot_demo: pylab_examples example code: eventplot_demo.py ============================================== .. plot:: /home/tcaswell/source/p/matplotlib/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`)