shape for dimensions in Pandas - Mini Project: Build & Apply

Understanding DataFrame Shape for Dimensions

📖 Scenario: Imagine you work in a small bookstore. You have a list of books with details like title, author, and price. You want to understand how many books you have and how many details are recorded for each book.

🎯 Goal: You will create a pandas DataFrame with book details and then find out its shape, which tells you the number of rows and columns.

📋 What You'll Learn

Create a pandas DataFrame with exact book data

Create a variable to store the DataFrame shape

Use the shape attribute to get dimensions

Print the shape to see rows and columns

💡 Why This Matters

🌍 Real World

Knowing the shape of data helps you understand how much information you have and how it is organized, which is important before analysis.

💼 Career

Data scientists and analysts often check data dimensions to plan cleaning, visualization, and modeling steps.

1

Create the DataFrame with book details

Import pandas as pd and create a DataFrame called books with these exact entries: columns 'Title', 'Author', 'Price' and rows: 'The Alchemist', 'Paulo Coelho', 10.99, '1984', 'George Orwell', 8.99, 'Python 101', 'Michael Driscoll', 15.50.

Pandas

# Import pandas and create the DataFrame called books
# Your code here

Need a hint?

Use pd.DataFrame with a dictionary where keys are column names and values are lists of column data.

2

Create a variable to store the DataFrame shape

Create a variable called dimensions and set it to the shape of the books DataFrame using the shape attribute.

Pandas

import pandas as pd
books = pd.DataFrame({
    'Title': ['The Alchemist', '1984', 'Python 101'],
    'Author': ['Paulo Coelho', 'George Orwell', 'Michael Driscoll'],
    'Price': [10.99, 8.99, 15.50]
})
# Create variable dimensions to store books shape
# Your code here

Need a hint?

Use books.shape to get a tuple with rows and columns.

3

Extract number of rows and columns

Create two variables called num_rows and num_columns. Set num_rows to the first value of dimensions and num_columns to the second value of dimensions.

Pandas

import pandas as pd
books = pd.DataFrame({
    'Title': ['The Alchemist', '1984', 'Python 101'],
    'Author': ['Paulo Coelho', 'George Orwell', 'Michael Driscoll'],
    'Price': [10.99, 8.99, 15.50]
})
dimensions = books.shape
# Extract num_rows and num_columns from dimensions
# Your code here

Need a hint?

The shape attribute returns a tuple: first is rows, second is columns.

4

Print the number of rows and columns

Print the values of num_rows and num_columns separated by a space.

Pandas

import pandas as pd
books = pd.DataFrame({
    'Title': ['The Alchemist', '1984', 'Python 101'],
    'Author': ['Paulo Coelho', 'George Orwell', 'Michael Driscoll'],
    'Price': [10.99, 8.99, 15.50]
})
dimensions = books.shape
num_rows = dimensions[0]
num_columns = dimensions[1]
# Print num_rows and num_columns separated by a space
# Your code here

Need a hint?

Use print(num_rows, num_columns) to show the shape.