One of the critical parts of a DataFrame that we need for data manipulation and retrieval is the “index.” Pandas dataframes have an “index”Įvery DataFrame has an index. The Pandas package is essentially a toolkit for creating DataFrames, manipulating DataFrames, and retrieving data from DataFrames.

Specifically, DataFrames hold data in a row-and-column format. The Pandas DataFrame is a data structure in Python that holds data. To understand the Pandas set_index function, you really need to understand DataFrame indexes.Īnd to understand indexes, you need to know about DataFrames. Having said that, if you don’t really know much about Pandas indexes, you should read the whole tutorial.

Examples: How to set a DataFrame index in Pandas.

If you’re trying to get information about something specific, the following links will take you to the appropriate section of the tutorial. It will also show you clear, step-by-step examples of how to set an index for a Pandas DataFrame.

The tutorial will explain the syntax for the set_index method. This tutorial will show you how to use the Pandas set index method to set the index of a Pandas DataFrame.