Matplotlib.axis.Tick.get_animated() in Python

Last Updated : 21 Apr, 2022

matplotlib.axis.Tick.get_animated() Function in the axis module of matplotlib library is used to get the animated state.

Syntax: Tick.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.Tick.get_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, 7.5), ylim=(0, 10))

line, = ax.plot(data[0], data[1], 'go-')
annotation = ax.annotate('', xy=(data[0][0],
                                 data[1][0]))

Tick.set_animated(annotation,
                  not Tick.get_animated(annotation))

fig.suptitle("""matplotlib.axis.Tick.get_animated()
function Example\n""", 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(.9, 0, 'go-')

annotation = ax.annotate(
    'annotation', xy=(.9, 0), xytext=(-.9, 0),
    arrowprops={'arrowstyle': "->"}
)

Tick.set_animated(annotation, 
                  Tick.get_animated(annotation))

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

plt.show()