Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.get_animated() Function
The Axes.get_animated() function in axes module of matplotlib library is used to get the animated state.
Syntax: Axes.get_animated(self)
Parameters: This method does not accepts any parameter.
Returns: This method return the animated state.
Below examples illustrate the matplotlib.axes.Axes.get_animated() function in matplotlib.axes:
Example 1:
Python3
# Implementation of matplotlib functionimport numpy as npimport matplotlib.pyplot as pltimport 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]))annotation.set_animated(True)w = annotation.get_animated()print(str(w))fig.suptitle('matplotlib.axes.Axes.get_animated() \function Example\n\n', fontweight ="bold")plt.show() |
Output:
True
Example 2:
Python3
# Implementation of matplotlib functionimport numpy as npimport matplotlib.pyplot as pltimport 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': "->"})annotation.set_animated(False) w = annotation.get_animated()print(str(w))fig.suptitle('matplotlib.axes.Axes.get_animated()\ function Example\n\n', fontweight ="bold")plt.show() |
Output:
False
