How to Concatenate Multiple DataFrames with the Same Indexes and Columns in Pandas

 

When working with data in Python, Pandas is a powerful tool for data manipulation. One common task is to concatenate multiple DataFrames that share the same structure. This blog post will guide you through the process of concatenating three DataFrames while maintaining their indexes and columns, specifically focusing on achieving a multi-index table where values are presented row by row.

Scenario

Suppose you have three DataFrames with the same columns and indexes, and you need to concatenate them such that the data from each DataFrame is identifiable and aligned row by row under each index.

Read more »