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:
- Python3
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
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() |
Output:
