# numpy.nonzero() in Python

`numpy.nonzero()`function is used to Compute the indices of the elements that are non-zero.

It returns a tuple of arrays, one for each dimension of arr, containing the indices of the non-zero elements in that dimension.
The corresponding non-zero values in the array can be obtained with ` arr[nonzero(arr)] `. To group the indices by element, rather than dimension we can use ` transpose(nonzero(arr))`.

Syntax : numpy.nonzero(arr)

Parameters :
arr : [array_like] Input array.

Return : [tuple_of_arrays] Indices of elements that are non-zero.

Code #1 : Working

 `# Python program explaining ` `# nonzero() function ` ` `  `import` `numpy as geek ` `arr ``=` `geek.array([[``0``, ``8``, ``0``], [``7``, ``0``, ``0``], [``-``5``, ``0``, ``1``]]) ` ` `  `print` `(``"Input  array : \n"``, arr) ` `   `  `out_tpl ``=` `geek.nonzero(arr) ` `print` `(``"Indices of non zero elements : "``, out_tpl)  `

Output :

Input array :
[[ 0 8 0]
[ 7 0 0]
[-5 0 1]]
Indices of non zero elements : (array([0, 1, 2, 2], dtype=int64), array([1, 0, 0, 2], dtype=int64))

Code #2 :

 `# Python program for getting ` `# The corresponding non-zero values: ` `out_arr ``=` `arr[geek.nonzero(arr)] ` ` `  `print` `(``"Output array of non-zero number: "``, out_arr)  `

Output :

```Output array of non-zero number:  [ 8  7 -5  1]
```

Code #3 :

 `# Python program for grouping the indices ` `# by element, rather than dimension ` ` `  `out_ind ``=` `geek.transpose(geek.nonzero(arr)) ` ` `  `print` `(``"indices of non-zero number: \n"``, out_ind)  `

Output :

```indices of non-zero number:
[[0 1]
[1 0]
[2 0]
[2 2]]
```

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