Skip to content
Related Articles

Related Articles

Improve Article
Save Article
Like Article

Matplotlib.artist.Artist.set_path_effects() in Python

  • Last Updated : 10 May, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Artist class contains Abstract base class for objects that render into a FigureCanvas. All visible elements in a figure are subclasses of Artist.

matplotlib.artist.Artist.set_path_effects() method

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning - Basic Level Course

The set_path_effects() method in artist module of matplotlib library is used to set the path effects.

Syntax: Artist.set_path_effects(self, path_effects)



Parameters: This method accepts the following parameters.

  • path_effects : This parameter is the AbstractPathEffect..

Returns: This method does not return any value.

Below examples illustrate the matplotlib.artist.Artist.set_path_effects() function in matplotlib:

Example 1:




# Implementation of matplotlib function
from matplotlib.artist import Artist  
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'
    
Artist.set_path_effects(t, [path_effects.PathPatchEffect(offset =(4, -4), 
                                                 hatch ='xxxx'
                                                 facecolor ='lightgreen'), 
                    path_effects.PathPatchEffect(edgecolor ='white',  
                                                 linewidth = 1.1
                                                 facecolor ='green')])
  
fig.suptitle('matplotlib.artist.Artist.set_path_effects()\
function Example', fontweight ="bold"
  
plt.show()

Output:

Example 2:




# Implementation of matplotlib function
from matplotlib.artist import Artist  
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 ="w")]) 
    
Artist.set_path_effects(txt.arrow_patch, [ 
    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(): 
    Artist.set_path_effects(l, pe)
      
fig.suptitle('matplotlib.artist.Artist.set_path_effects()\
function Example', fontweight ="bold"
  
plt.show()

Output:




My Personal Notes arrow_drop_up
Recommended Articles
Page :