np.mean() for average in NumPy - Mini Project: Build & Apply

Calculate Average Using np.mean()

📖 Scenario: You work in a small bakery. You have daily sales numbers for a week. You want to find the average sales to understand how well the bakery is doing.

🎯 Goal: Calculate the average daily sales using np.mean() from the sales data.

📋 What You'll Learn

Create a numpy array called sales with the exact daily sales numbers

Create a variable called average_sales to store the average

Use np.mean() to calculate the average of sales

Print the value of average_sales

💡 Why This Matters

🌍 Real World

Calculating averages is common in business to understand typical performance, like average sales per day.

💼 Career

Data analysts and scientists often use averages to summarize data and find trends.

1

Create the sales data array

Create a numpy array called sales with these exact daily sales numbers: 120, 150, 130, 170, 160, 180, 140.

NumPy

import numpy as np

# Create the sales array with the given numbers
# Your code here

Need a hint?

Use np.array() to create the array with the exact numbers inside square brackets.

2

Create a variable for the average

Create a variable called average_sales and set it to 0 as a starting point.

NumPy

import numpy as np

sales = np.array([120, 150, 130, 170, 160, 180, 140])

# Create average_sales variable and set it to 0
# Your code here

Need a hint?

Just write average_sales = 0 to create the variable.

3

Calculate the average using np.mean()

Use np.mean() on the sales array and assign the result to average_sales.

NumPy

import numpy as np

sales = np.array([120, 150, 130, 170, 160, 180, 140])
average_sales = 0

# Calculate average_sales using np.mean on sales
# Your code here

Need a hint?

Use average_sales = np.mean(sales) to calculate the average.

4

Print the average sales

Print the value of average_sales to see the average daily sales.

NumPy

import numpy as np

sales = np.array([120, 150, 130, 170, 160, 180, 140])
average_sales = 0
average_sales = np.mean(sales)

# Print the average_sales value
# Your code here

Need a hint?

Use print(average_sales) to display the average.