Today, we will explore sorting within a DataFrame using Python's pandas. We will delve into the sort_values() function, covering single and multi-column sorting and handling missing values.

Let's consider this small dataset containing statistics of basketball players:

Note that there is a tie in Points between "K. Durant" and "K. Bryant".

We can sort DataFrame values using the sort_values() function.

In this example, the DataFrame is sorted by column Points in descending order using the by and parameters. Thus, we can list the most successful players in terms of average points scored.