Matplotlib.artist.Artist.set_animated() in Python

# 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()

# 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()