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Matplotlib.artist.Artist.get_transformed_clip_path_and_affine() in Python

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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.

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 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('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() method
val = 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 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)
  
# use of get_transformed_clip_path_and_affine() method
val = 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.        ]])


Last Updated : 15 May, 2020
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