Python Scipy – ndimage.interpolation.geometric_transform() function

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The given mapping function is used to find, for each point in the output, the corresponding coordinates in the input

Syntax: scipy.ndimage.interpolation.geometric_transform(input, mapping, order=3)

Parameters

input : takes an array.

mapping : accepts a tuple data structure similar to length of given output array rank.

order : int parameter. which is a spline interpolation and the default value is 3.

Returns: Returns an n d array.

Example 1:

Python3

from scipy import ndimage
 
# importing numpy module for
# processing the arrays
import numpy as np
 
 
# creating an 2 dimensional array with 
# 5 * 5 dimensions
a = np.arrange(25).reshape((5, 5))
 
print('a')
print(a)
 
 
# reducing dimensions function
def shift_func(output_coords):
     
    return (output_coords[0] - 0.7, output_coords[1] - 0.7)
 
# performing geometric transform operation
ndimage.geometric_transform(a, shift_func)

Output:

Example 2:

Python3

from scipy import ndimage
 
# importing numpy module for
# processing the arrays
import numpy as np
 
# create 4 * 4 dim array.
b = np.arrange(16).reshape((4, 4))
 
# reducing dimensions function
def shift_func(output_coords):
 
    return (output_coords[0] - 0.1, output_coords[1] - 0.2)
 
ndimage.geometric_transform(b, shift_func)