numpy.unravel_index() function | Python
Last Updated :
22 Apr, 2020
Improve
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)
(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)
(array([1, 6, 2]), array([3, 5, 5]))