Python中的 Matplotlib.axis.Tick.set_path_effects()函数

Matplotlib是Python中的一个库，它是 NumPy 库的数值数学扩展。它是Python中用于二维数组图的惊人可视化库，用于处理更广泛的 SciPy 堆栈。

matplotlib.axis.Tick.set_path_effects()函数

matplotlib库的axis模块中的Tick.set_path_effects()函数用于设置路径效果。

Syntax: Tick.set_path_effects(self, path_effects) 
 

Parameters: This method accepts the following parameters. 
 

• path_effects: This parameter is the AbstractPathEffect.

Return value: This method does not return any value. 

以下示例说明了 matplotlib.axis 中的 matplotlib.axis.Tick.set_path_effects()函数：
示例 1：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
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')  
       
Tick.set_path_effects(t, [path_effects.PathPatchEffect(offset =(4, -4),  
                                                 hatch ='xxxx',  
                                                 facecolor ='lightgreen'),  
                    path_effects.PathPatchEffect(edgecolor ='white',   
                                                 linewidth = 1.1,  
                                                 facecolor ='yellow')])
  
fig.suptitle('matplotlib.axis.Tick.set_path_effects() \
function Example', fontweight ="bold")  
     
plt.show()

输出：

示例 2：

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
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 Qaud",  
                   (1., 1.),  
                   (0., 0),  
                   arrowprops = dict(arrowstyle ="->",  
                                     connectionstyle ="angle3",  
                                     lw = 2),  
                   size = 20, ha ="center",  
                   path_effects =[PathEffects.withStroke(linewidth = 3,  
                                                         foreground ="r")])  
       
Tick.set_path_effects(txt.arrow_patch, [  
    PathEffects.Stroke(linewidth = 5,   
                       foreground ="r"),  
    PathEffects.Normal()])  
       
ax1.grid(True, linestyle ="-")  
       
pe = [PathEffects.withStroke(linewidth = 3,  
                             foreground ="r")]  
       
for l in ax1.get_xgridlines() + ax1.get_ygridlines():  
    Tick.set_path_effects(l, pe) 
  
fig.suptitle('matplotlib.axis.Tick.set_path_effects() \
function Example', fontweight ="bold")  
     
plt.show() 

输出：