np.argsort() for sort indices in NumPy - Mini Project: Build & Apply

Using np.argsort() to Sort Indices in NumPy

📖 Scenario: You have a list of exam scores from students. You want to find out the order of students from the lowest score to the highest score without changing the original list.

🎯 Goal: Build a program that uses np.argsort() to find the indices that would sort the scores array.

📋 What You'll Learn

Create a NumPy array called scores with exact values

Create a variable called sorted_indices using np.argsort() on scores

Print the sorted_indices to show the order of scores from lowest to highest

💡 Why This Matters

🌍 Real World

Sorting indices is useful when you want to know the order of items without changing the original data, such as ranking students by scores or sorting products by price.

💼 Career

Data scientists often use <code>np.argsort()</code> to efficiently sort data and keep track of original positions, which is important for data analysis and machine learning tasks.

1

Create the scores array

Create a NumPy array called scores with these exact values: 55, 89, 76, 65, 92.

NumPy

import numpy as np
# Create the scores array with values 55, 89, 76, 65, 92
# Your code here

Need a hint?

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

2

Use np.argsort() to get sorted indices

Create a variable called sorted_indices and set it to np.argsort(scores).

NumPy

import numpy as np
scores = np.array([55, 89, 76, 65, 92])
# Use np.argsort() on scores and assign to sorted_indices
# Your code here

Need a hint?

Use np.argsort() to get the indices that would sort the array.

3

Print the sorted indices

Write a print() statement to display the sorted_indices variable.

NumPy

import numpy as np
scores = np.array([55, 89, 76, 65, 92])
sorted_indices = np.argsort(scores)
# Print the sorted_indices
# Your code here

Need a hint?

The output should be the indices that sort the scores from lowest to highest.

4

Use sorted indices to sort the scores

Create a variable called sorted_scores by using scores[sorted_indices]. Then print sorted_scores.

NumPy

import numpy as np
scores = np.array([55, 89, 76, 65, 92])
sorted_indices = np.argsort(scores)
print(sorted_indices)
# Use sorted_indices to get sorted_scores and print it
# Your code here

Need a hint?

Use the sorted indices to reorder the original scores array and print the sorted scores.