NumPy: Sum and compute the product of a NumPy array elements

Last update on December 21 2024 07:39:03 (UTC/GMT +8 hours)

Sum/Product of Array Elements

Write a NumPy program to sum and compute the product of a numpy array of elements.

Pictorial Presentation:

Sample Solution:

Python Code:

# Importing the NumPy library and aliasing it as 'np'
import numpy as np

# Creating a NumPy array 'x' containing floating-point values
x = np.array([10, 20, 30], float)

# Printing a message indicating the original array will be displayed
print("Original array:")

# Printing the original array 'x' with its elements
print(x)

# Printing a message indicating the sum of the array elements will be displayed
print("Sum of the array elements:")

# Calculating and printing the sum of the elements in the array 'x' using 'sum()'
print(x.sum())

# Printing a message indicating the product of the array elements will be displayed
print("Product of the array elements:")

# Calculating and printing the product of the elements in the array 'x' using 'prod()'
print(x.prod()) 

Sample Output:

Original array:                                                                   
[ 10.  20.  30.]                                                                
Sum of the array elements:                                                          
60.0                                                                       
Product of the array elements:                                                      
6000.0 

Explanation:

In the above exercise –

‘x = np.array([10, 20, 30], float)’ creates a NumPy array 'x' with the elements 10, 20, and 30 of float data type.

print(x.sum()): Calculate the sum of all elements in the 'x' array using the 'sum()' method and print the result. In this case, the sum is 10 + 20 + 30 = 60.

print(x.prod()): Calculate the product of all elements in the 'x' array using the 'prod()' method and print the result. In this case, the product is 10 * 20 * 30 = 6000.

Python-Numpy Code Editor: