# Matplotlib.artist.Artist.get_transformed_clip_path_and_affine() in Python

• Last Updated : 15 May, 2020

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_transformed_clip_path_and_affine() Method

The get_transformed_clip_path_and_affine() method in artist module of matplotlib library is used to get the clip path with the non-affine part of its transformation applied, and the remaining affine part of its transformation.

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Syntax: Artist.get_transformed_clip_path_and_affine(self)

Parameters: This method does not accepts any parameter.

Returns: This method return the clip path with the non-affine part of its transformation applied, and the remaining affine part of its transformation.

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

Example 1:

Image Used:

 # Implementation of matplotlib functionfrom matplotlib.artist import Artist import matplotlib.pyplot as plt import matplotlib.patches as patches import matplotlib.cbook as cbook            with cbook.get_sample_data('image.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)   # use of get_transformed_clip_path_and_affine() methodval = Artist.get_transformed_clip_path_and_affine(im)ax.set_title("Value Return by get_transformed_clip_path_and_affine(): "              + str(val))  fig.suptitle('matplotlib.artist.Artist.get_transformed_clip_path_and_affine() \function Example', fontweight="bold")  plt.show()

Output:

Example 2:

 # Implementation of matplotlib functionfrom 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)  # use of get_transformed_clip_path_and_affine() methodval = Artist.get_transformed_clip_path_and_affine(im)print("Value Return by get_transformed_clip_path_and_affine(): ")for i in val:     print(i)   fig.suptitle("""matplotlib.artist.Artist.get_transformed_clip_path_and_affine()function Example""", fontweight="bold")  plt.show()

Output:

Value Return by get_transformed_clip_path_and_affine():
Path(array([[ 0.,  1.],
[ 1.,  0.],
[ 0., -1.],
[-1.,  0.],
[ 0.,  1.]]), None)
Affine2D(
[[ 82.66666667   0.         328.        ]
[  0.          61.6        237.6       ]
[  0.           0.           1.        ]])

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