Matplotlib.axis.Axis.set_path_effects() function in Python

Namachila October 13, 2025

0 0 1 minute read

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

Matplotlib.axis.Axis.set_path_effects() Function

The Axis.set_path_effects() function in axis module of matplotlib library is used to set the path effects.

Syntax: Axis.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.

Below examples illustrate the matplotlib.axis.Axis.set_path_effects() function in matplotlib.axis:

Example 1:

Python3

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

Output:

Example 2:

Python3

# Implementation of matplotlib function 
from matplotlib.axis import Axis 
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 ="w")])   
      
Axis.set_path_effects(txt.arrow_patch, [   
    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():   
    Axis.set_path_effects(l, pe)  
  
fig.suptitle('matplotlib.axis.Axis.set_path_effects() \ 
function Example\n', fontweight ="bold")   
    
plt.show()  