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() |
Output: