NumPy: Calculate the absolute value element-wise

Last update on March 25 2025 12:20:13 (UTC/GMT +8 hours)

7. Element-wise Absolute Value

Write a NumPy program to calculate the absolute value element-wise.

Sample Solution:

Python Code:

# Importing the NumPy library
import numpy as np

# Creating an array with floating-point numbers
x = np.array([-10.2, 122.2, .20])

# Displaying the original array
print("Original array:")
print(x)

# Calculating the element-wise absolute value and displaying the result
print("Element-wise absolute value:")
print(np.absolute(x))

Sample Output:

Original array:                                                        
[ -10.2  122.2    0.2]                                                 
Element-wise absolute value:                                           
[  10.2  122.2    0.2]

Explanation:

In the above code:

x = np.array([-10.2, 122.2, .20]) – This line creates an array with three elements: -10.2, 122.2, and .20.

np.absolute(x) – This line calculates the absolute value of each element in x.

Finally, the result printed by print(np.absolute(x)) will be [10.2, 122.2, .2].

Pictorial Presentation:

For more Practice: Solve these Related Problems:

• Implement a function that returns the absolute value of each element in an array using np.abs.
• Test the absolute value function on arrays containing both negative and positive numbers.
• Verify the function’s behavior on complex numbers by comparing np.abs with manual magnitude calculations.
• Apply the absolute value computation to a multi-dimensional array and confirm that its shape remains unchanged.

Python-Numpy Code Editor: