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

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()