Numpy count_nonzero method | Python

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 :

Python3

# Python program explaining
# numpy.count_nonzero() function

# importing numpy as geek 
import numpy as geek

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

gfg = geek.count_nonzero(arr)

print (gfg)

Output :

Code #2 :

Python3

# Python program explaining
# numpy.count_nonzero() function

# importing numpy as geek 
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 :

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Numpy count_nonzero method | Python

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