Matplotlib.artist.artist.get_animated() - 获得动画状态

Matplotlib.artist.artist.get_animated()

Python matplotlib库的artist模块中的get_animated()方法用于获得动画状态。

语法:Artist.get_animated(self)

参数:该方法不接受任何参数。

返回:该方法返回动画状态。

下面的例子说明了matplotlib中的matplotlib.artist.artist.get_animated()函数:

示例1

# Implementation of matplotlib function
from matplotlib.artist import Artist 
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]))
 
Artist.set_animated(annotation, True)
w = Artist.get_animated(annotation)
   
print(str(w))
 
fig.suptitle('matplotlib.artist.Artist.get_animated()\
function Example', fontweight ="bold")
 
ax.grid()
 
plt.show()

输出:

Matplotlib.artist.artist.get_animated()

True

示例2

# Implementation of matplotlib function
from matplotlib.artist import Artist 
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': "->"}
)
Artist.set_animated(annotation, False)
w = Artist.get_animated(annotation)
   
print(str(w))
 
fig.suptitle('matplotlib.artist.Artist.get_animated()\
function Example', fontweight ="bold")
 
ax.grid()
 
plt.show()

输出:

Matplotlib.artist.artist.get_animated()

False

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Matplotlib.artist