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

Last Updated : 10 Jun, 2020

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()