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

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:

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: 
    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:

Python3 1==

# 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()