.. _pylab_examples-eventplot_demo: pylab_examples example code: eventplot_demo.py ============================================== .. plot:: /home/tcaswell/src/p/matplotlib/doc/mpl_examples/pylab_examples/eventplot_demo.py :: ''' 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`)