Compute sum of all elements in 1D array using np.add.reduce

Last update on December 21 2024 07:36:26 (UTC/GMT +8 hours)

ufunc Reduce Method:

Write a NumPy program that uses the np.add.reduce ufunc to compute the sum of all elements in a 1D array.

Sample Solution:

Python Code:

import numpy as np

# Create a 1D NumPy array of integers
array_1d = np.array([1, 2, 3, 4, 5])

# Use the np.add.reduce ufunc to compute the sum of all elements in the array
sum_of_elements = np.add.reduce(array_1d)

# Print the original array and the sum of its elements
print('Original 1D array:', array_1d)
print('Sum of all elements using np.add.reduce:', sum_of_elements)

Output:

Original 1D array: [1 2 3 4 5]
Sum of all elements using np.add.reduce: 15

Explanation:

• Import Libraries:
• Imported numpy as "np" for array creation and manipulation.
• Create 1D NumPy Array:
• Create a 1D NumPy array named ‘array_1d’ with integers [1, 2, 3, 4, 5].
• Use np.add.reduce ufunc:
• Used the np.add.reduce ufunc to compute the sum of all elements in 'array_1d'. The reduce method applies the np.add ufunc cumulatively to the elements of the array, resulting in the sum.
• Print Results:
• Print the original array and the sum of its elements computed using 'np.add.reduce'.

Python-Numpy Code Editor:

Previous: Apply np.exp, np.log, and np.sqrt ufuncs to transform a NumPy array.
Next: Compute cumulative product of elements using np.multiply.accumulate.