numpy.argwhere() in Python (original) (raw)

Last Updated : 24 Dec, 2018

**numpy.argwhere() **function is used to find the indices of array elements that are non-zero, grouped by element.

Syntax : numpy.argwhere(arr)

Parameters :
arr : [array_like] Input array.

Return : [ndarray] Indices of elements that are non-zero. Indices are grouped by element.

Code #1 :

import numpy as geek

in_arr = [[ 2 , 0 , 7 ], [ 0 , 5 , 9 ]]

print ( "Input array : " , in_arr)

out_arr = geek.argwhere(in_arr)

print ( "Output indices of non zero array element: \n" , out_arr)

Output:

Input array : [[2, 0, 7], [0, 5, 9]] Output indices of non zero array element: [[0 0] [0 2] [1 1] [1 2]]

Code #2 :

import numpy as geek

in_arr = geek.arange( 8 ).reshape( 4 , 2 )

print ( "Input array : " , in_arr)

out_arr = geek.argwhere(in_arr> 4 )

print ( "Output indices greater than 4: \n" , out_arr)

Output:

Input array : [[0 1] [2 3] [4 5] [6 7]] Output indices greater than 4: [[2 1] [3 0] [3 1]]

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