numpy.unravel_index() function | Python

numpy.unravel_index() function | Python

Last Updated : 22 Apr, 2020

numpy.unravel_index() function converts a flat index or array of flat indices into a tuple of coordinate arrays.

Syntax : numpy.unravel_index(indices, shape, order = 'C') Parameters : indices : [array_like] An integer array whose elements are indices into the flattened version of an array of dimensions shape. shape : [tuple of ints] The shape of the array to use for unraveling indices. order : [{‘C’, ‘F’}, optional] Determines whether the multi-index should be viewed as indexing in row-major (C-style) or column-major (Fortran-style) order. Return : [tuple of ndarray] Each array in the tuple has the same shape as the indices array.

Code #1 :

# Python program explaining
# numpy.unravel_index() function

# importing numpy as geek 
import numpy as geek

gfg = geek.unravel_index([22, 41, 37], (7, 6))

print(gfg)

 
# Python program explaining
# numpy.unravel_index() function​# importing numpy as geek import numpy as geek​gfg = geek.unravel_index([22, 41, 37], (7, 6))​print(gfg)

Output :

(array([3, 6, 6]), array([4, 5, 1]))

Code #2 :

# Python program explaining
# numpy.unravel_index() function

# importing numpy as geek 
import numpy as geek

gfg = geek.unravel_index([22, 41, 37], (7, 6), order = 'F')

print(gfg)

 
# Python program explaining
# numpy.unravel_index() function​# importing numpy as geek import numpy as geek​gfg = geek.unravel_index([22, 41, 37], (7, 6), order = 'F')​print(gfg)

Output :

(array([1, 6, 2]), array([3, 5, 5]))

numpy.unravel_index() function | Python

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