Matplotlib.artist.Artist.set_clip_box() 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_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:

Python3 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:

Python3 1==

# 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()