Matplotlib.axis.Axis.get_animated() function in Python
Last Updated :
08 Jun, 2020
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.Axis.get_animated() Function
The Axis.get_animated() function in axis module of matplotlib library is used to get the animated state.
Syntax: Axis.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.Axis.get_animated() function in matplotlib.axis:
Example 1:
Python3
from matplotlib.axis import Axis
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 ]))
Axis.set_animated(annotation, True )
w = Axis.get_animated(annotation)
print ( str (w))
fig.suptitle(
, fontweight = "bold")
plt.show()
|
Output:
True
Example 2:
Python3
from matplotlib.axis import Axis
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' : "->" }
)
Axis.set_animated(annotation, False )
w = Axis.get_animated(annotation)
print ( str (w))
fig.suptitle(
, fontweight = "bold")
plt.show()
|
Output:
False
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