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Matplotlib.axis.Tick.set_animated() function in Python

  • Last Updated : 11 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.Tick.set_animated() Function

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

Syntax: Tick.set_animated(self, b) 
Parameters: This method accepts the following parameters. 

  • b: This parameter is the boolean value.

Return value: This method does not return any value. 

Below examples illustrate the matplotlib.axis.Tick.set_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, 20), ylim =(0, 20))  
       
line, = ax.plot([], [], 'r-')  
annotation = ax.annotate('',  
                         xy =(data[0][0],  
                              data[1][0]))  
       
Tick.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 = 59,  
                               init_func = init,  
                               interval = 60,  
                               blit = True)  
  
fig.suptitle('matplotlib.axis.Tick.set_animated() \
function Example', 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(1, 0, 'ro')  
       
annotation = ax.annotate(  
    'annotation', xy =(1, 0), xytext =(-1, 0),  
    arrowprops = {'arrowstyle': "->"}  
)  
Tick.set_animated(annotation, False
  
fig.suptitle('matplotlib.axis.Tick.set_animated() \
function Example', fontweight ="bold")  
     
plt.show() 

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