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Matplotlib.axes.Axes.get_animated() in Python

Last Updated : 25 Apr, 2025
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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.get_animated() Function

The Axes.get_animated() function in axes module of matplotlib library is used to get the animated state.

Syntax: Axes.get_animated(self) 

Parameters: This method does not accepts any parameter. 

Returns: This method return the animated state.

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

Example 1: 

Python3
# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation

 
data = np.array([[1, 2, 3, 4, 5], 
                [7, 4, 9, 2, 3]])
 
fig = plt.figure()
ax = plt.axes(xlim =(0, 20), ylim =(0, 20))
 
line, = ax.plot([], [], 'r-')
annotation = ax.annotate('', xy =(data[0][0], 
                         data[1][0]))
annotation.set_animated(True)
w = annotation.get_animated()

print(str(w))

fig.suptitle('matplotlib.axes.Axes.get_animated() \
function Example\n\n', fontweight ="bold")

plt.show()

Output:

 

True

Example 2: 

Python3
# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
 

fig, ax = plt.subplots()
 
ax.set_xlim([-1, 1])
ax.set_ylim([-1, 1])
 
L = 50
theta = np.linspace(0, 2 * np.pi, L)
r = np.ones_like(theta)
 
x = r * np.cos(theta)
y = r * np.sin(theta)
 
line, = ax.plot(1, 0, 'ro')
 
annotation = ax.annotate(
    'annotation', xy =(1, 0), xytext =(-1, 0),
    arrowprops = {'arrowstyle': "->"}
)
annotation.set_animated(False)
 
w = annotation.get_animated()

print(str(w))

fig.suptitle('matplotlib.axes.Axes.get_animated()\
 function Example\n\n', fontweight ="bold")

plt.show()

Output:

 

False

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