NumPy: Test whether any of the elements of a given array is non-zero

NumPy: Basic Exercise-4 with Solution

Write a NumPy program to test if any of the elements of a given array are non-zero.

Sample Solution :

Python Code :

# Importing the NumPy library with an alias 'np'
import numpy as np

# Creating a NumPy array 'x' containing elements 1, 0, 0, and 0
x = np.array([1, 0, 0, 0])

# Printing the original array 'x'
print("Original array:")
print(x)

# Checking if any element in the array 'x' is non-zero and printing the result
print("Test whether any of the elements of a given array is non-zero:")
print(np.any(x))

# Reassigning array 'x' to a new array containing all elements as zero
x = np.array([0, 0, 0, 0])

# Printing the new array 'x'
print("Original array:")
print(x)

# Checking if any element in the updated array 'x' is non-zero and printing the result
print("Test whether any of the elements of a given array is non-zero:")
print(np.any(x)) 

Sample Output:

Original array:
[1 0 0 0]
Test whether any of the elements of a given array is non-zero:
True
Original array:
[0 0 0 0]
Test whether any of the elements of a given array is non-zero:
False                         

Explanation:

In the above code –

x = np.array([1, 0, 0, 0]): This line creates a NumPy array 'x' with the elements 1, 0, 0, and 0.

print(np.any(x)): This line uses the np.any() function to test if any elements in the array 'x' are non-zero (i.e., not equal to zero). In this case, the first element is non-zero, so the function returns True.

x = np.array([0, 0, 0, 0]): This line creates a new NumPy array 'x' with all elements equal to 0.

print(np.any(x)): This line uses the np.any() function again to test if any elements in the new array 'x' are non-zero. In this case, all elements are zero, so the function returns False.

Pictorial Presentation:

Python-Numpy Code Editor:

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