How to Add Corresponding Columns from Two DataFrames in Python: Two Practical Methods
This article walks through a Python community question by presenting two clear approaches—renaming columns to match and using NumPy addition—to sum corresponding columns from two tables, complete with visual code examples and a brief discussion on handling mismatched headers.
Introduction
Recently a fan asked a data‑processing question in a Python community; this article shares the solution.
Implementation
Two solutions are presented to add corresponding columns from two tables.
Method 1
Rename the columns of data2 to match data1 and then sum them. The process and code are shown in the image below.
Method 2
Use NumPy to add the arrays and convert the result back to a DataFrame, which is often easier to understand. The process and code are illustrated in the following image.
Additional Question
An extra question about setting column headers is also addressed, with the solution shown in the image.
Conclusion
The article demonstrates how to sum corresponding columns of two tables in Python, even when the headers differ, and thanks the contributors for their ideas and code support.
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