In numpy, we can check that whether none of the elements of given array is zero or not with the help of numpy.all() function. In this function pass an array as parameter. If any of one element of the passed array is zero then it returns False otherwise it returns True boolean value.
Syntax: numpy.all( array )
Parameters: An array
Return: Boolean value (True or False)
The elements of a given NumPy array is zero or not in Python
Example 1:
Here we can see that the array is passes to the all() built-in function in Python and as there is no zero in the array it returns True.
Python
# import numpy libraryimport numpy as np# create an arrayx = np.array([34, 56, 89, 23, 69, 980, 567])# print arrayprint(x)# Test if none of the elements # of the said array is zeroprint(np.all(x)) |
Output:
[ 34 56 89 23 69 980 567] True
Example 2:
Here we can see that the array is passes to the all function and as there is a zero present in the array it returns False.
Python
# import numpy libraryimport numpy as np# create an arrayx = np.array([1, 2, 3, 4, 6, 7, 8, 9, 10, 0, 89, 67])# print arrayprint(x)# Test if none of the elements# of the said array is zeroprint(np.all(x)) |
Output:
[ 1 2 3 4 6 7 8 9 10 0 89 67] False
