# Matplotlib.axes.Axes.eventplot() in Python

• Last Updated : 13 Apr, 2020

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

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning - Basic Level Course

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()`

My Personal Notes arrow_drop_up