This data has the regions in a column and quarters in a row. Suppose you have a dataset as shown below: Paste Special can do a lot of amazing things, and one such thing is to transpose data in Excel. Transpose Data using Excel TRANSPOSE Function.Transpose Data using Paste Special and Find & Replace.You’re sure to find something interesting there. If you like this tutorial, then consider checking out our Python tutorials page, where we regularly post content for beginners and advanced developers. If you have any query left that is not addressed in this tutorial or you got stuck in code, then do let me know in the comment section. That’s how you will master these and will be applying them to different scenarios.

I hope that this tutorial has helped you understand how to rename columns in Pandas. Keep in mind that this method will modify the original DataFrame, so if you want to keep the original DataFrame unchanged, you should create a copy of it first. # replace the 'Employee_' substring in the column names with 'Emp_'ĭf.columns = df.('Employee_', 'Emp_') Consider the following example import pandas as pdĭf=pd.DataFrame() The simplest of all ways to rename columns in Pandas DataFrame is to use Pandas’ built-in method rename().

In the end, frequently asked questions have been answered, so if you have a question that is not addressed in the tutorial, then do visit the end section. In this mini tutorial, we will review four methods that will help you rename single or multiple-column names. If you want to learn how to rename columns in Dataframe Pandas, then this tutorial will help you choose the best method according to your needs. It provides powerful tools for reading, writing, filtering, and transforming data in a variety of formats, such as CSV, Excel, and SQL databases. In a nutshell, Pandas is a popular data analysis and manipulation library in Python.

In this tutorial, you will learn how to rename columns in Pandas DataFrame.

Transform columns to rows in excel