Welcome, future data analyzers! Today, we're tackling Index Columns and Locating Elements in a Pandas DataFrame. We'll learn how to handle index columns, locate specific data, and strengthen our understanding of DataFrames. Ready, set, code!

In a Pandas DataFrame, an index is assigned to each row, much like the numbers on books in a library. When a DataFrame is created, Pandas establishes a default index. Let's refer to an example:

The numbers on the left are the default index.

Occasionally, we might need to establish a custom index. The Pandas' set_index() function allows us to set a custom index. To reset the index to its default state, we use reset_index().

To better understand these functions, let's consider an example in which we create an index using unique IDs:

In this example, ID column is displayed as an index. Let's reset the index to return to the original state: