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_path() method
The set_clip_path() method in artist module of matplotlib library is used to set the artist’s clip path.
Syntax: Artist.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.artist.Artist.set_clip_path() function in matplotlib:
Example 1:
Input Image:
# Implementation of matplotlib function from matplotlib.artist import Artist 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((10, 10), 560, 500, transform = ax.transData) Artist.set_clip_path(im, patch) fig.suptitle('matplotlib.artist.Artist.set_clip_path()\ function Example', fontweight ="bold") plt.show() |
Output:
Example 2:
# Implementation of matplotlib function from matplotlib.artist import Artist 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) Artist.set_clip_path(im, patch) fig.suptitle('matplotlib.artist.Artist.set_clip_path()\ function Example', fontweight ="bold") plt.show() |
Output:
