Matplotlib.axis.Tick.get_animated() in Python
Last Updated :
21 Apr, 2022
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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:
# 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:
# 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()
Output:
