Saturday, February 21, 2026
HomeLanguagesMatplotlib.axes.Axes.set_clip_path() in Python

Matplotlib.axes.Axes.set_clip_path() in Python

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.set_clip_path() Function

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

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

Parameters: This method accepts only two parameters.

  • path: This parameter is the clip path.
  • transform: This parameter in which Path is converted to a TransformedPath using transform.

Returns: This method does not return any value.

Below examples illustrate the matplotlib.axes.Axes.set_clip_path() function in matplotlib.axes:

Example 1:

Input Image:

geek-11




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.cbook as cbook
   
  
with cbook.get_sample_data('loggf.PNG') as image_file:
    image = plt.imread(image_file)
   
fig, ax = plt.subplots()
im = ax.imshow(image)
patch = patches.Rectangle((0, 0),
                          260,
                          200
                          transform = ax.transData)
im.set_clip_path(patch)
  
fig.suptitle('matplotlib.axes.Axes.set_clip_path() \
function Example\n\n', fontweight ="bold")
  
plt.show()


Output:

Example 2:




# Implementation of matplotlib function
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.axes.Axes.set_clip_path() \
function Example\n\n', fontweight ="bold")
  
plt.show()


Output:

Dominic
Dominichttp://wardslaus.com
infosec,malicious & dos attacks generator, boot rom exploit philanthropist , wild hacker , game developer,
RELATED ARTICLES

Most Popular

Dominic
32506 POSTS0 COMMENTS
Milvus
131 POSTS0 COMMENTS
Nango Kala
6882 POSTS0 COMMENTS
Nicole Veronica
12005 POSTS0 COMMENTS
Nokonwaba Nkukhwana
12099 POSTS0 COMMENTS
Shaida Kate Naidoo
7011 POSTS0 COMMENTS
Ted Musemwa
7255 POSTS0 COMMENTS
Thapelo Manthata
6967 POSTS0 COMMENTS
Umr Jansen
6956 POSTS0 COMMENTS