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"""
==============
Eventplot demo
==============
An `~.axes.Axes.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
# 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 = [f'C{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()
# %%
# .. tags::
#
# plot-type: eventplot
# level: beginner
# purpose: showcase
|
