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Matplotlib.artist.Artist.set_clip_on() 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_on() method

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The set_clip_on() method in artist module of matplotlib library is used to set whether the artist uses clipping.

Syntax: Artist.set_clip_on(self, b)



Parameters: This method accepts only one parameters.

  • b: This parameter contains the boolean value.

Returns: This method does not return any value.

Below examples illustrate the matplotlib.artist.Artist.set_clip_on() 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: 
    e.set_alpha(0.1
    ax.add_artist(e) 
        
ax.set_xlim(-1, 5
ax.set_ylim(-1, 5
Artist.set_clip_on(ax, b = False)
          
fig.suptitle('matplotlib.artist.Artist.set_clip_on()\
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.patches as mpatches 
import matplotlib.transforms as mtransforms 
    
    
x0 = -0.1
    
arrow_style ="simple, head_length = 15, \
head_width = 30, tail_width = 10
rect_style ="simple, tail_width = 25"
line_style ="simple, tail_width = 1"
    
fig, ax = plt.subplots() 
    
trans = mtransforms.blended_transform_factory(ax.transAxes,
                                              ax.transData) 
    
y_tail = 5
y_head = 15
arrow1 = mpatches.FancyArrowPatch((x0, y_tail),  
                                  (x0, y_head), 
                                   arrowstyle = arrow_style, 
                                   transform = trans)
  
Artist.set_clip_on(arrow1, b = False)
ax.add_patch(arrow1) 
    
ax.set_xlim(0, 30
ax.set_ylim(0, 80)  
          
fig.suptitle('matplotlib.artist.Artist.set_clip_on()\
function Example', fontweight ="bold"
  
plt.show()

Output:




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