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Matplotlib.axis.Tick.get_animated() in Python

Last Updated : 21 Apr, 2022
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matplotlib.axis.Tick.get_animated() Function in the axis module of matplotlib library is used to get the animated state. 

Syntax: Tick.get_animated(self) 
Parameters: This method does not accepts any parameter. 
Return value: This method return the animated state. 

Below examples illustrate the matplotlib.axis.Tick.get_animated() function in matplotlib.axis.

Example 1:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Tick
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, 7.5), ylim=(0, 10))
  
line, = ax.plot(data[0], data[1], 'go-')
annotation = ax.annotate('', xy=(data[0][0],
                                 data[1][0]))
  
Tick.set_animated(annotation,
                  not Tick.get_animated(annotation))
  
fig.suptitle("""matplotlib.axis.Tick.get_animated()
function Example\n""", fontweight="bold")
  
plt.show()


Output: 
 

 

Example 2:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Tick
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(.9, 0, 'go-')
  
annotation = ax.annotate(
    'annotation', xy=(.9, 0), xytext=(-.9, 0),
    arrowprops={'arrowstyle': "->"}
)
  
Tick.set_animated(annotation, 
                  Tick.get_animated(annotation))
  
fig.suptitle("""matplotlib.axis.Tick.get_animated()
function Example\n""", fontweight="bold")
  
plt.show()


Output: 

 



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