Matplotlib.axis.Axis.get_animated() function in Python

Last Updated : 08 Jun, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

Matplotlib.axis.Axis.get_animated() Function

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

Syntax: Axis.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.Axis.get_animated() function in matplotlib.axis:

Example 1:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
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]))  
  
Axis.set_animated(annotation, True)  
w = Axis.get_animated(annotation)  
    
print(str(w))  

fig.suptitle("""matplotlib.axis.Axis.get_animated()
function Example\n""", fontweight ="bold")  
  
plt.show()

Output:

True

Example 2:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
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': "->"}  
)  
Axis.set_animated(annotation, False)  
w = Axis.get_animated(annotation)  
    
print(str(w))    

fig.suptitle("""matplotlib.axis.Axis.get_animated()
function Example\n""", fontweight ="bold")  
  
plt.show()