How to Add Matching Columns from Two DataFrames in Python – Two Simple Methods
This tutorial walks through two practical ways to sum corresponding columns from two pandas DataFrames in Python, handling mismatched column names and showing both a rename‑and‑add approach and a NumPy‑based solution with clear code examples.
Preface
The author, a Python enthusiast, shares a data‑processing question raised by a community member named Lee and presents the solution.
Implementation
Two methods are provided to add corresponding columns from two tables (data1 and data2) even when their column names differ.
Method 1
Rename the columns of data2 to match those of data1 and then perform element‑wise addition. The process and code are illustrated below.
Method 2
Use NumPy to add the arrays directly and convert the result back to a DataFrame, which is often more convenient. The process and code are shown below.
A follow‑up question about setting custom headers is also addressed, with the corresponding code displayed.
Conclusion
The article demonstrates how to sum matching columns of two DataFrames in Python, handling cases where column names differ, and acknowledges the contributors who provided ideas and code support.
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