Numpy count_nonzero method | Python (original) (raw)

Last Updated : 22 Apr, 2020

numpy.count_nonzero() function counts the number of non-zero values in the array arr.

Syntax : numpy.count_nonzero(arr, axis=None)

Parameters :
arr : [array_like] The array for which to count non-zeros.
axis : [int or tuple, optional] Axis or tuple of axes along which to count non-zeros. Default is None, meaning that non-zeros will be counted along a flattened version of arr.

Return : [int or array of int] Number of non-zero values in the array along a given axis. Otherwise, the total number of non-zero values in the array is returned.

Code #1 :

import numpy as geek

arr = [[ 0 , 1 , 2 , 3 , 0 ], [ 0 , 5 , 6 , 0 , 7 ]]

gfg = geek.count_nonzero(arr)

print (gfg)

Output :

6

Code #2 :

import numpy as geek

arr = [[ 0 , 1 , 2 , 3 , 4 ], [ 5 , 0 , 6 , 0 , 7 ]]

gfg = geek.count_nonzero(arr, axis = 0 )

print (gfg)

Output :

7

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