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

  • Last Updated : 08 Jun, 2020
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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>

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