In this kit, we're going to see how to rename columns of a given dataframe in pandas with simple steps. One way of renaming the columns in a Pandas Dataframe is by using the rename() function. This method is quite useful when we need to rename some selected columns because we need to specify information only for the columns which are to be renamed. Rename Columns with List using set_axis() Alternatively, you can use DataFrame. set_axis() method to rename columns with list. use inplace=True param to rename columns on the existing DataFrame object. If you wanted to rename a single column by Index on pandas DataFrame then you can just assign a new value to the df. columns. values[idx] , replace idx with the right index where you wanted to rename.
Please check the below code to know how to rename columns of a given dataframe in pandas,
Fig : Preview of the output that you will get on running this code from your IDE.
In this solution we're using Pandas library.
Follow the steps carefully to get the output easily.
- Install pandas on your IDE(Any of your favorite IDE).
- Copy the snippet using the 'copy' and paste it in your IDE.
- Run the file to generate the output.
I hope you found this useful. I have added the link to dependent library, version information in the following sections.
I found this code snippet by searching for 'renaming columns with pandas' in kandi. You can try any such use case!
Python 38689 Version:v2.0.2 License: Permissive (BSD-3-Clause)
I tested this solution in the following versions. Be mindful of changes when working with other versions.
- The solution is created in PyCharm 2021.3.
- The solution is tested on Python 3.9.7.
- Pandas version-v1.5.2.
Using this solution, we are able to rename columns of a given dataframe in pandas with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to rename columns of a given dataframe in pandas.