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Matplotlib.axis.Axis.get_clip_on() function in Python

  • Last Updated : 08 Jun, 2020

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

Matplotlib.axis.Axis.get_clip_on() Function

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

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Syntax: Axis.get_clip_on(self) 
 



Parameters: This method does not accepts any parameter. 
 

Return value: This method return the whether the artist uses clipping. 

Below examples illustrate the matplotlib.axis.Axis.get_clip_on() function in matplotlib.axis:
 

Example 1:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
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() : ",  
      Axis.get_clip_on(ax))
  
fig.suptitle("""matplotlib.axis.Axis.get_clip_on()
function Example\n""", fontweight ="bold")  
    
plt.show()

Output: 
 

 

Value Return by get_clip_on() :  True

Example 2:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
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 = 80
arrow1 = mpatches.FancyArrowPatch((x0, y_tail),   
                                  (x0, y_head),   
                                  arrowstyle = arrow_style,  
                                  transform = trans)  
    
Axis.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() : ",  
      Axis.get_clip_on(arrow1))
  
fig.suptitle("""matplotlib.axis.Axis.get_clip_on()
function Example\n""", fontweight ="bold")  
    
plt.show()

Output: 
 

Value Return by get_clip_on() :  False

 




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