Why sorting matters in NumPy - See It in Action

Why Sorting Matters

📖 Scenario: Imagine you work in a store that sells different products. You want to find out which products sell the most and which sell the least. Sorting the sales numbers helps you see this clearly.

🎯 Goal: You will create a list of sales numbers, set a threshold to find popular products, sort the sales, and then print the sorted sales to understand why sorting is useful.

📋 What You'll Learn

Create a NumPy array with exact sales numbers

Create a threshold variable to select popular products

Sort the sales array using NumPy

Print the sorted sales array

💡 Why This Matters

🌍 Real World

Sorting sales data helps businesses quickly see which products sell best and make smart decisions.

💼 Career

Data scientists and analysts often sort data to find trends and make reports easier to understand.

1

Create the sales data

Create a NumPy array called sales with these exact values: 50, 20, 75, 10, 90, 40.

NumPy

import numpy as np
# Create the sales array with values 50, 20, 75, 10, 90, 40
# Your code here

Need a hint?

Use np.array to create the array with the given numbers.

2

Set the popularity threshold

Create a variable called threshold and set it to 50 to find popular products.

NumPy

import numpy as np
sales = np.array([50, 20, 75, 10, 90, 40])
# Set threshold to 50
# Your code here

Need a hint?

Just assign the number 50 to the variable threshold.

3

Sort the sales data

Create a new variable called sorted_sales that holds the sorted version of sales using np.sort().

NumPy

import numpy as np
sales = np.array([50, 20, 75, 10, 90, 40])
threshold = 50
# Sort the sales array and save it in sorted_sales
# Your code here

Need a hint?

Use np.sort(sales) to get the sorted array.

4

Print the sorted sales

Print the variable sorted_sales to see the sales numbers in order.

NumPy

import numpy as np
sales = np.array([50, 20, 75, 10, 90, 40])
threshold = 50
sorted_sales = np.sort(sales)
# Print the sorted sales array
# Your code here

Need a hint?

Use print(sorted_sales) to show the sorted numbers.