np.min() and np.max() in NumPy - Mini Project: Build & Apply

Finding Minimum and Maximum Values with np.min() and np.max()

📖 Scenario: You work at a small fruit store. You have a list of daily sales numbers for apples over a week. You want to find the smallest and largest sales numbers to understand the best and worst days.

🎯 Goal: Learn how to use np.min() and np.max() to find the minimum and maximum values in a list of numbers.

📋 What You'll Learn

Create a NumPy array with exact daily sales numbers

Create a variable to hold the sales data

Use np.min() to find the smallest sales number

Use np.max() to find the largest sales number

Print both minimum and maximum sales values

💡 Why This Matters

🌍 Real World

Stores and businesses often analyze sales data to find their best and worst performing days. This helps them plan stock and promotions.

💼 Career

Data analysts and scientists use functions like <code>np.min()</code> and <code>np.max()</code> to quickly summarize data and find important insights.

1

Create the sales data array

Import NumPy as np and create a NumPy array called sales with these exact values: 23, 45, 12, 67, 34, 89, 10.

NumPy

# Import numpy and create the sales array
# Your code here

Need a hint?

Use np.array() to create the array with the exact sales numbers.

2

Create variables for minimum and maximum sales

Create two variables: min_sales and max_sales. Use np.min() on sales to get the smallest value and assign it to min_sales. Use np.max() on sales to get the largest value and assign it to max_sales.

NumPy

import numpy as np
sales = np.array([23, 45, 12, 67, 34, 89, 10])
# Create min_sales and max_sales using np.min() and np.max()
# Your code here

Need a hint?

Use np.min(sales) and np.max(sales) to find the smallest and largest values.

3

Print the minimum sales value

Write a print statement to display the text "Minimum sales:" followed by the value of min_sales.

NumPy

import numpy as np
sales = np.array([23, 45, 12, 67, 34, 89, 10])
min_sales = np.min(sales)
max_sales = np.max(sales)
# Print the minimum sales value
# Your code here

Need a hint?

Use print("Minimum sales:", min_sales) to show the smallest sales number.

4

Print the maximum sales value

Write a print statement to display the text "Maximum sales:" followed by the value of max_sales.

NumPy

import numpy as np
sales = np.array([23, 45, 12, 67, 34, 89, 10])
min_sales = np.min(sales)
max_sales = np.max(sales)
print("Minimum sales:", min_sales)
# Print the maximum sales value
# Your code here

Need a hint?

Use print("Maximum sales:", max_sales) to show the largest sales number.