Anatomy of a DataFrame

A DataFrame in pandas is more than just a table — it's a rich data structure made up of three main parts:

The 3 Core Components

Part	Description	How to Access
Index	Labels for each row (can be numbers or names)	df.index
Columns	Names of each data field	df.columns
Values	The actual data inside the table	df.values

These parts help pandas understand how to organize and reference data quickly.

Why It Matters

Understanding the anatomy of a DataFrame helps you:

• Access and manipulate data accurately
• Rename, reorder, or restructure rows and columns
• Debug issues in your analysis

If you're slicing data or joining tables, knowing how the index and columns behave is essential.

What You’ll Try in Code

In the next Jupyter notebook, you'll:

• Create a simple DataFrame
• Inspect its index, columns, and values
• See how each part stores data internally

This foundational knowledge will support everything you do with pandas later.

What’s Next?

Now that you've explored the internal structure of a DataFrame, it’s time to test your understanding with a quick quiz.