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Matplotlib.artist.Artist.set_clip_box() in Python

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()


Output:

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