numpy.unravel_index() function | Python Last Updated : 22 Apr, 2020 Comments Improve Suggest changes Like Article Like Report 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 : Python3 # 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 : Python3 # 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])) Comment More infoAdvertise with us Next Article numpy.unravel_index() function | Python sanjoy_62 Follow Improve Article Tags : Machine Learning Python-numpy Python numpy-arrayManipulation python Practice Tags : Machine Learningpython Similar Reads Python Tutorial | Learn Python Programming Language Python Tutorial – Python is one of the most popular programming languages. It’s simple to use, packed with features and supported by a wide range of libraries and frameworks. 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