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Python Matplotlib.axes.Axes.get_path_effects()用法及代码示例


Matplotlib是Python中的一个库,它是数字的-NumPy库的数学扩展。轴类包含大多数图形元素:Axis,Tick,Line2D,Text,Polygon等,并设置坐标系。 Axes实例通过callbacks属性支持回调。

matplotlib.axes.Axes.get_path_effects()函数

matplotlib库的axiss模块中的Axes.get_path_effects()函数用于获取set_path_effects的属性。

用法: Axes.get_path_effects(self)


参数:此方法不接受任何参数。

返回:此方法返回set_path_effects的属性。

以下示例说明了matplotlib.axes中的matplotlib.axes.Axes.get_path_effects()函数:

范例1:

# Implementation of matplotlib function 
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 t.get_path_effects():
    print(i) 
   
   
fig.suptitle('matplotlib.axes.Axes.get_path_effects() \ 
function Example\n\n', fontweight ="bold") 
  
plt.show()

输出:

Value Return by get_path_effects():

<matplotlib.patheffects.PathPatchEffect object at 0x0B36CA90>
<matplotlib.patheffects.PathPatchEffect object at 0x0B36CC70>

范例2:

# Implementation of matplotlib function 
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 l.get_path_effects():
        print(i) 
   
fig.suptitle('matplotlib.axes.Axes.get_path_effects()\ 
function Example\n\n', fontweight ="bold") 
  
plt.show()

输出:

Value Return by get_path_effects():

<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>
<matplotlib.patheffects.withStroke object at 0x0B1DDDF0>



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注:本文由纯净天空筛选整理自SHUBHAMSINGH10大神的英文原创作品 Matplotlib.axes.Axes.get_path_effects() in Python。非经特殊声明,原始代码版权归原作者所有,本译文未经允许或授权,请勿转载或复制。