Matplotlib.artist.Artist.get_clip_on() 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.get_clip_on() method

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

Syntax: Artist.get_clip_on(self)

Parameters: This method does not accepts any parameter.

Returns: This method return whether the artist uses clipping.



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

Example 1:

filter_none

edit
close

play_arrow

link
brightness_4
code

# 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
    
print("Value Return by get_clip_on() : "
      Artist.get_clip_on(ax))  
          
fig.suptitle('matplotlib.artist.Artist.get_clip_on()\
function Example', fontweight ="bold"
  
plt.show()

chevron_right


Output:

Value Return by get_clip_on() :  True

Example 2:

filter_none

edit
close

play_arrow

link
brightness_4
code

# 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, False
ax.add_patch(arrow1) 
     
ax.set_xlim(0, 30
ax.set_ylim(0, 80
    
print("Value Return by get_clip_on() : "
      Artist.get_clip_on(arrow1))  
          
fig.suptitle('matplotlib.artist.Artist.get_clip_on()\
function Example', fontweight ="bold"
  
plt.show()

chevron_right


Output:

Value Return by get_clip_on() :  False

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.




My Personal Notes arrow_drop_up

Small things always make you to think big

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.