Python中的 Matplotlib.artist.Artist.update_from()

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。 Artist 类包含呈现为 FigureCanvas 的对象的 Abstract 基类。图中所有可见元素都是 Artist 的子类。

matplotlib.artist.Artist.update_from() 方法

matplotlib 库的艺术家模块中的update_from() 方法用于将属性从其他复制到自己。

Syntax: Artist.update_from(self, other )

Parameters: This method accepts the following parameters.

• other : This parameter is the property to be updated.

Returns: This method return dictionary of all the properties of the artist.

下面的示例说明了 matplotlib 中的 matplotlib.artist.Artist.update_from()函数：

示例 1：

# Implementation of matplotlib function
from matplotlib.artist import Artist
import numpy as np 
import matplotlib.pyplot as plt 
from matplotlib.legend_handler import HandlerLine2D 
    
    
x = np.linspace(0, 3 * np.pi) 
y1 = np.sin(x) 
y2 = np.cos(x) 
    
fig = plt.figure() 
    
ax = fig.add_subplot(111) 
ax.plot(x, y1, c ='b', label ='y1', linewidth = 1.0) 
ax.plot(x, y2, c ='g', label ='y2') 
    
linewidth = 7
    
def update(prop1, prop2): 
    Artist.update_from(prop1, prop2) 
    prop1.set_linewidth(7) 
    
plt.legend(handler_map ={plt.Line2D : HandlerLine2D(update_func = update)}) 
    
fig.suptitle('matplotlib.artist.Artist.update()\
 function Example', fontweight ="bold") 
  
plt.show()

输出：

示例 2：

# Implementation of matplotlib function
from matplotlib.artist import Artist
import numpy as np  
import matplotlib.pyplot as plt 
import matplotlib.transforms as mtransforms 
    
        
fig, ax = plt.subplots()  
l1, = ax.plot([0.1, 0.5, 0.9],  
              [0.1, 0.9, 0.5],  
              "bo-") 
l2, = ax.plot([0.1, 0.5, 0.9], 
              [0.5, 0.2, 0.7],  
              "ro-") 
    
for l in [l1, l2]: 
        
    xx = l.get_xdata() 
    yy = l.get_ydata() 
        
    shadow, = ax.plot(xx, yy) 
    Artist.update_from(shadow, l) 
        
    ot = mtransforms.offset_copy(l.get_transform(), 
                                 ax.figure, 
                                 x = 4.0,  
                                 y =-6.0,  
                                 units ='points') 
    
    shadow.set_transform(ot)
      
fig.suptitle('matplotlib.artist.Artist.update_from()\
function Example', fontweight ="bold") 
  
plt.show()

输出：