Python中的 Matplotlib.artist.Artist.get_path_effects()

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.get_path_effects() 方法

matplotlib 库的 Artist 模块中的get_path_effects() 方法用于获取 set_path_effects 的属性。

Syntax: Artist.get_path_effects(self)

Parameters: This method does not accepts any parameter.

Returns: This method return the property of set_path_effects.

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

示例 1：

# Implementation of matplotlib function
from matplotlib.artist import Artist  
import matplotlib.pyplot as plt 
import numpy as np 
import matplotlib.patheffects as path_effects 
     
        
fig, ax = plt.subplots() 
t = ax.text(0.02, 0.5, 
            'GeeksForGeeks',  
            fontsize = 40, 
            weight = 1000,  
            va ='center') 
    
t.set_path_effects([path_effects.PathPatchEffect(offset =(4, -4),  
                                                 hatch ='xxxx', 
                                                 facecolor ='gray'), 
                    path_effects.PathPatchEffect(edgecolor ='white', 
                                                 linewidth = 1.1, 
                                                 facecolor ='black')]) 
      
print("Value Return by get_path_effects() : \n") 
for i in Artist.get_path_effects(t): 
    print(i)
      
fig.suptitle('matplotlib.artist.Artist.get_path_effects()\
function Example', fontweight ="bold") 
  
plt.show()

输出：

Value Return by get_path_effects() : 

示例 2：

# Implementation of matplotlib function
from matplotlib.artist import Artist  
import matplotlib.pyplot as plt 
import matplotlib.patheffects as PathEffects 
import numpy as np 
    
     
fig, ax1 = plt.subplots() 
ax1.imshow([[1, 2], [2, 3]]) 
txt = ax1.annotate("Fourth", 
                   (1., 1.),  
                   (0., 0), 
                   arrowprops = dict(arrowstyle ="->", 
                                     connectionstyle ="angle3",
                                     lw = 2), 
                   size = 20,  
                   ha ="center",  
                   path_effects =[PathEffects.withStroke(linewidth = 3, 
                                                         foreground ="w")]) 
    
txt.arrow_patch.set_path_effects([ 
    PathEffects.Stroke(linewidth = 5, foreground ="w"), 
    PathEffects.Normal()]) 
     
ax1.grid(True, linestyle ="-") 
     
pe = [PathEffects.withStroke(linewidth = 3, 
                             foreground ="w")] 
    
for l in ax1.get_xgridlines() + ax1.get_ygridlines(): 
    l.set_path_effects(pe) 
    
print("Value Return by get_path_effects() : \n") 
    
for l in ax1.get_xgridlines() + ax1.get_ygridlines(): 
    for i in Artist.get_path_effects(l):
        print(i)
      
fig.suptitle('matplotlib.artist.Artist.get_path_effects()\
function Example', fontweight ="bold") 
  
plt.show()

输出：

Value Return by get_path_effects() : 


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