np.abs() for absolute values in NumPy - Mini Project: Build & Apply

Using np.abs() to Find Absolute Values

📖 Scenario: Imagine you have a list of temperature changes recorded over a week. Some values are negative, showing a drop in temperature, and some are positive, showing a rise. You want to find out how big the changes were, regardless of direction.

🎯 Goal: You will create a NumPy array with temperature changes, then use np.abs() to find the absolute values of these changes. This will help you see the size of each change without worrying about whether it was up or down.

📋 What You'll Learn

Create a NumPy array called temp_changes with the exact values: -3, 5, -1, 7, -4

Create a variable called absolute_changes that stores the absolute values of temp_changes using np.abs()

Print the absolute_changes array

💡 Why This Matters

🌍 Real World

Absolute values are useful in many real-world cases like measuring distances, temperature changes, or financial gains and losses without worrying about direction.

💼 Career

Data scientists often use absolute values to analyze data magnitude, ignoring whether values are positive or negative, which helps in clearer insights and decision making.

1

Create the temperature changes array

Import NumPy as np and create a NumPy array called temp_changes with these exact values: -3, 5, -1, 7, -4.

NumPy

import numpy as np
# Create the NumPy array temp_changes with values -3, 5, -1, 7, -4
# Your code here

Need a hint?

Use np.array() to create the array with the exact values.

2

Calculate absolute values

Create a variable called absolute_changes that stores the absolute values of the temp_changes array using np.abs().

NumPy

import numpy as np

temp_changes = np.array([-3, 5, -1, 7, -4])
# Use np.abs() on temp_changes and store in absolute_changes
# Your code here

Need a hint?

Use np.abs(temp_changes) to get the absolute values.

3

Print the absolute values

Print the absolute_changes array to see the absolute temperature changes.

NumPy

import numpy as np

temp_changes = np.array([-3, 5, -1, 7, -4])

absolute_changes = np.abs(temp_changes)
# Print absolute_changes
# Your code here

Need a hint?

Use print(absolute_changes) to display the result.

4

Summary: Understanding absolute values with np.abs()

Review the code and output to understand how np.abs() converts negative numbers to positive, showing the size of changes without direction.

NumPy

import numpy as np

temp_changes = np.array([-3, 5, -1, 7, -4])

absolute_changes = np.abs(temp_changes)

print(absolute_changes)
# Reflect on how np.abs() works

Need a hint?

Look at the printed array to see all positive values representing the size of changes.