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
# Implementation of matplotlib function 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("""matplotlib.axis.Axis.get_animated() function Example\n""", fontweight ="bold") plt.show() |
Output:
True
Example 2:
Python3
# Implementation of matplotlib function 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 = 50theta = 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("""matplotlib.axis.Axis.get_animated() function Example\n""", fontweight ="bold") plt.show() |
Output:
False
