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Matplotlib.artist.Artist.set_animated() in Python
  • Last Updated : 15 May, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Artist class contains Abstract base class for objects that render into a FigureCanvas. All visible elements in a figure are subclasses of Artist.

matplotlib.artist.Artist.set_animated() method

The set_animated() method in artist module of matplotlib library is used to set the artist’s animation state.

Syntax: Artist.set_animated(self, b)

Parameters: This method accepts the following parameters.

  • b: This parameter is the boolean value.

Returns: This method does not return any value.



Below examples illustrate the matplotlib.artist.Artist.set_animated() function in matplotlib:

Example 1:

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# Implementation of matplotlib function
from matplotlib.artist import Artist
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])) 
    
Artist.set_animated(annotation, True
    
def init(): 
    return line, annotation 
    
def update(num): 
    newData = np.array([[1 + num, 
                         2 + num / 2
                         3
                         4 - num / 4
                         5 + num], 
                        [7, 4,  
                         9 + num / 3
                         2, 3]]) 
        
    line.set_data(newData) 
    return line, annotation 
    
anim = animation.FuncAnimation(fig, 
                               update,  
                               frames = 25
                               init_func = init, 
                               interval = 200
                               blit = True)
fig.suptitle('matplotlib.artist.Artist.set_animated()\
function Example', fontweight ="bold"
  
plt.show()

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Output:

Example 2:

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# Implementation of matplotlib function
from matplotlib.artist import Artist  
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': "->"
Artist.set_animated(annotation, False
    
    
def update(i): 
    
    new_x = x[i % L] 
    new_y = y[i % L] 
    line.set_data(new_x, new_y) 
    
    annotation.set_position((-new_x, -new_y)) 
    annotation.xy = (new_x, new_y) 
    
    return line, annotation 
    
ani = animation.FuncAnimation( 
    fig, update, interval = 500, blit = False
)
  
fig.suptitle('matplotlib.artist.Artist.set_animated()\
function Example', fontweight ="bold"
  
plt.show()

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Output:

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