How to Merge Two DataFrames for Only Few Columns in Pandas
by Abdul Rawoof A R Updated: Jan 30, 2023
Solution Kit
In Pandas, the merge() function can be used to combine two dataframes on specific columns. The merge() function takes in two dataframes as arguments and combines them based on one or more common columns. The result is a new dataframe that contains columns from both input dataframes. This can be helpful when you don't need to combine all the columns from one dataframe into another; only some of the columns are needed.
Few common use cases for this are-
- when you have a large dataframe with many columns and you only need to merge a few of those columns with another dataframe. For example, you might have a dataframe containing customer information and another dataframe containing sales data, and you only need to merge the customer name and purchase amount columns.
- when you have duplicate column names in both dataframe and you only want to merge certain columns with specific names.
Here is how you can merge two dataframes for only few columns in Pandas:
Fig : Preview of the output that you will get on running this code from your IDE.
Code
In this solution we're using Pandas library.
Instructions
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.
- Add required dependencies and import them in Python file.
- Run the file to generate the output.
I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.
I found this code snippet by searching for 'How to merge two dataframe for only few columns' in kandi. You can try any such use case!
Environment Tested
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 merge two dataframes for only few columns 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 merge two dataframes for only few columns in pandas.
Dependent Library
pandasby pandas-dev
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python 38689 Version:v2.0.2 License: Permissive (BSD-3-Clause)
You can also search for any dependent libraries on kandi like 'pandas'.
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