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

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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.Tick.set_path_effects() Function

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

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.

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

Output:

Example 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()  