Matplotlib.axes.Axes.set_path_effects() in Python

0 0 1 minute read

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.set_path_effects() Function

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

Syntax: Axes.set_path_effects(self, path_effects)

Parameters: This method accepts only one parameters.

path_effects : This parameter is the AbstractPathEffect.

Returns: This method does not return any value.

Below examples illustrate the matplotlib.axes.Axes.set_path_effects() function in matplotlib.axes:

Example 1:

# Implementation of matplotlib function 
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')]) 
   
fig.suptitle('matplotlib.axes.Axes.set_path_effects() function\ 
Example\n', fontweight ="bold") 
  
plt.show() 

Output:

Example 2:

# Implementation of matplotlib function 
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) 
   
fig.suptitle('matplotlib.axes.Axes.set_path_effects() \ 
function Example\n', fontweight ="bold") 
  
plt.show() 