np.array() from Python lists in NumPy - Mini Project: Build & Apply

Create a NumPy Array from Python Lists

📖 Scenario: You work in a small bakery that tracks daily sales of different bread types. The sales data is recorded as Python lists for each day.You want to use NumPy to analyze this data more easily.

🎯 Goal: Create a NumPy array from the given Python lists of daily bread sales.

📋 What You'll Learn

Use the np.array() function to convert Python lists into a NumPy array.

Create the array exactly from the provided lists.

Print the resulting NumPy array.

💡 Why This Matters

🌍 Real World

In many jobs, data comes as lists or tables. Converting these into NumPy arrays helps with fast calculations and analysis.

💼 Career

Data scientists and analysts often convert raw data into arrays to prepare for statistical analysis, machine learning, or visualization.

1

Create Python lists for daily sales

Create two Python lists called day1_sales and day2_sales with these exact values: day1_sales = [10, 15, 7] and day2_sales = [12, 18, 9].

NumPy

# Create the Python lists day1_sales and day2_sales with the exact values
# Your code here

Need a hint?

Use square brackets [] to create lists with the exact numbers.

2

Import NumPy library

Import the NumPy library using the standard alias np.

NumPy

day1_sales = [10, 15, 7]
day2_sales = [12, 18, 9]

# Import NumPy as np
# Your code here

Need a hint?

Use import numpy as np to import the library.

3

Create a NumPy array from the lists

Use np.array() to create a NumPy array called sales_array from the two lists day1_sales and day2_sales combined inside another list.

NumPy

import numpy as np

day1_sales = [10, 15, 7]
day2_sales = [12, 18, 9]

# Create sales_array using np.array() from [day1_sales, day2_sales]
# Your code here

Need a hint?

Pass a list containing day1_sales and day2_sales to np.array().

4

Print the NumPy array

Print the variable sales_array to display the NumPy array of sales data.

NumPy

import numpy as np

day1_sales = [10, 15, 7]
day2_sales = [12, 18, 9]

sales_array = np.array([day1_sales, day2_sales])

# Print sales_array
# Your code here

Need a hint?

Use print(sales_array) to show the array.