Matplotlib.axis.Axis.get_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.Axis.get_path_effects() Function

The Axis.get_path_effects() function in axis module of matplotlib library is used to get the property of set_path_effects.

Syntax: Axis.get_path_effects(self)

Parameters: This method does not accepts any parameter.

Return value: This method return the property of set_path_effects

Below examples illustrate the matplotlib.axis.Axis.get_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')   
      
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 Axis.get_path_effects(t):   
    print(i)   
            
fig.suptitle("""matplotlib.axis.Axis.get_path_effects() 
function Example\n""", fontweight ="bold")   
    
plt.show() 

Output:

Value Return by get_path_effects() : 

<matplotlib.patheffects.PathPatchEffect object at 0x0A6EDBD0>
<matplotlib.patheffects.PathPatchEffect object at 0x0A6EDDB0>

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",   
                   (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 Axis.get_path_effects(l):  
        print(i)   
            
fig.suptitle("""matplotlib.axis.Axis.get_path_effects() 
function Example\n""", fontweight ="bold")   
    
plt.show() 

Output:

Value Return by get_path_effects() : 

<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>
<matplotlib.patheffects.withStroke object at 0x0A98EF50>