Matplotlib.artist.Artist.set_clip_box() in Python

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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_clip_box() method

The set_clip_box() method in artist module of matplotlib library is used to set the artist’s clip Bbox.

Syntax: Artist.set_clip_box(self, clipbox)

Parameters: This method accepts only one parameters.

clipbox: This parameter is the Bbox.

Returns: This method does not return any value.

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

Example 1:

# Implementation of matplotlib function 
from matplotlib.artist import Artist 
import matplotlib.pyplot as plt  
import numpy as np  
from matplotlib.patches import Ellipse  
    
  
delta = 45.0
    
angles = np.arange(0, 360 + delta, delta)  
ells = [Ellipse((2, 2), 5, 2, a) for a in angles]  
    
fig, ax = plt.subplots()  
    
for e in ells:  
    Artist.set_clip_box(e, ax.bbox)  
    e.set_alpha(0.1)  
    ax.add_artist(e)  
    
plt.xlim(-1, 5)  
plt.ylim(-1, 5)  
          
fig.suptitle('matplotlib.artist.Artist.set_clip_box() \ 
function Example', fontweight ="bold")  
  
plt.show() 

Output:

Example 2:

# Implementation of matplotlib function 
from matplotlib.artist import Artist 
import matplotlib.pyplot as plt  
import numpy as np  
from matplotlib.patches import Ellipse  
      
  
NUM = 200
      
ells = [Ellipse(xy = np.random.rand(2) * 10,  
                width = np.random.rand(),   
                height = np.random.rand(),  
                angle = np.random.rand() * 360)  
        for i in range(NUM)]  
      
fig, ax = plt.subplots(subplot_kw ={'aspect': 'equal'})  
  
for e in ells:  
    ax.add_artist(e) 
    Artist.set_clip_box(e, ax.bbox)  
    e.set_clip_box(ax.bbox)  
    e.set_alpha(np.random.rand())  
    e.set_facecolor(np.random.rand(4))  
      
ax.set_xlim(3, 7)  
ax.set_ylim(3, 7)  
      
          
fig.suptitle('matplotlib.artist.Artist.set_clip_box()\ 
function Example', fontweight ="bold")  
  
plt.show() 