Matplotlib.axes.Axes.eventplot() in Python

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.eventplot() Function

The Axes.eventplot() function in axes module of matplotlib library is used to plot identical parallel lines at the given positions.

Syntax: Axes.eventplot(self, positions, orientation=’horizontal’, lineoffsets=1, linelengths=1, linewidths=None, colors=None, linestyles=’solid’, *, data=None, **kwargs)

Parameters: This method accept the following parameters that are described below:

• positions : This parameter is the sequence of objects and each value is an event.
• orientation: This parameter is used to controls the direction of the event collections {‘horizontal’, ‘vertical’}.
• lineoffsets: This parameter is the offset of the center of the lines from the origin, in the direction orthogonal to orientation.
• linelengths: This parameter is the total height of the lines.
• linewidths: This parameter is the line width(s) of the event lines, in points.

Returns: This returns the following:

• list: This returns the list of EventCollection objects.

Below examples illustrate the matplotlib.axes.Axes.eventplot() function in matplotlib.axes:

Example #1:

#Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
import matplotlib


matplotlib.rcParams['font.size'] = 8.0

np.random.seed(789680)
data1 = np.random.random([6, 50])

colors1 = ['C{}'.format(i) for i in range(6)]
lineoffsets1 = np.array([-9, -13, 1,
                         15, 6, 10])

linelengths1 = [5, 2, 9, 11, 3, 5]

fig, axs = plt.subplots()
axs.eventplot(data1, colors=colors1,
              lineoffsets=lineoffsets1,
              linelengths=linelengths1)

axs.set_title('matplotlib.axes.Axes.eventplot Example')
plt.show()

Output:

Example #2:

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
import matplotlib


matplotlib.rcParams['font.size'] = 8.0

np.random.seed(789680)
data1 = np.random.gamma(4, size =[60, 50])

lineoffsets1 = 1
linelengths1 = 1

fig, [axs1, axs2]= plt.subplots(2, 1)
axs1.eventplot(data1, colors ='green',
               lineoffsets = lineoffsets1,
               linelengths = linelengths1)

axs2.eventplot(data1, colors ='green',
               lineoffsets = lineoffsets1,
               linelengths = linelengths1,
               orientation ='vertical')

axs1.set_title('matplotlib.axes.Axes.eventplot Example')
plt.show()