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

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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.set_clip_path() Function

The Axis.set_clip_path() function in axis module of matplotlib library is used to set the artist’s clip path.

Syntax: Axis.set_clip_path(self, path, transform=None)

Parameters: This method accepts the following parameters.

path: This parameter is the clip path.

transform: This parameter in which Path is converted to a TransformedPath using transform.

Return value: This method does not return any value.

Below examples illustrate the matplotlib.axis.Axis.set_clip_path() function in matplotlib.axis:
Example 1:

Input Image

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import matplotlib.pyplot as plt  
import matplotlib.patches as patches  
import matplotlib.cbook as cbook  
      
     
with cbook.get_sample_data('zambiatek-logo1.PNG') as image_file:  
    image = plt.imread(image_file)  
      
fig, ax = plt.subplots()  
im = ax.imshow(image)  
patch = patches.Rectangle((10, 10),  
                          560,  
                          500,   
                          transform = ax.transData)  
   
im.set_clip_path(patch)  
 
fig.suptitle('matplotlib.axis.Axis.set_clip_path() \
function Example\n', fontweight ="bold")  
   
plt.show() 

Output:

Example 2:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np  
import matplotlib.cm as cm  
import matplotlib.pyplot as plt  
from matplotlib.path import Path  
from matplotlib.patches import PathPatch  
      
     
delta = 0.025
     
x = y = np.arange(-3.0, 3.0, delta)  
X, Y = np.meshgrid(x, y)  
     
Z1 = np.exp(-X**2 - Y**2)  
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)  
Z = (Z1 - Z2) * 2
      
path = Path([[0, 1], [1, 0], [0, -1],  
            [-1, 0], [0, 1]])  
patch = PathPatch(path, facecolor ='none')  
      
fig, ax = plt.subplots()  
ax.add_patch(patch)  
      
im = ax.imshow(Z,  
               interpolation ='bilinear',   
               cmap = cm.gray,  
               origin ='lower',   
               extent =[-3, 3, -3, 3],  
               clip_path = patch,   
               clip_on = True)  
im.set_clip_path(patch)  
 
fig.suptitle('matplotlib.axis.Axis.set_clip_path() \
function Example\n', fontweight ="bold")  
   
plt.show() 