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# Anatomy of a DataFrame

A *DataFrame* in *Pandas* is more than just a table — it’s a flexible and structured container made up of three core components.

<br/>

## The 3 Core Components

The three core components of a DataFrame are:

| 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 organize and reference data efficiently.

<br/>

## Why It's Important

Understanding the structure of a *DataFrame* helps you:

* Access and manipulate data precisely
* Rename, reorder, or reshape rows and columns
* Identify and resolve issues during analysis

When slicing or merging data, knowing how the index and columns behave becomes essential.

<br/>

## What You'll Try in Code

In the notebook, you'll:

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

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

A pandas DataFrame is built around three fundamental components: the index, which labels rows; columns, which name each data field; and values, which are the actual data points. Understanding these components is crucial for effectively managing and manipulating data using pandas, as they allow you to access and organize information efficiently.

### A DataFrame in pandas consists of three main components: index, columns, and values.

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`