How to Merge Excel Sheets in Python: Step‑by‑Step Pandas Guide
This article walks through a common Python automation task of merging spreadsheet data using pandas, explaining the differences between append and extend, demonstrating proper use of pd.concat, and providing clear code snippets to help readers solve the problem efficiently.
Introduction
Hello, I am PiPi. Recently, a question about basic Python automation for office work was raised in the Python Diamond group, and I am sharing the solution here.
Implementation Process
Several community members, including Jason, provided a solution approach, illustrated in the following images.
The key point is to use append instead of extend; append adds an element while extend concatenates lists.
When working with DataFrames, use the DataFrame directly rather than df.values; the issue was with pd.concat, which can only concatenate DataFrames and Series. This resolved the fan's problem.
Conclusion
This article reviewed a basic issue of merging tables in Python automation, providing detailed analysis and code implementation to help readers solve the problem effectively.
Thanks to the contributors for their ideas and code explanations.
Tip: When asking questions in the group, consider sharing a small, anonymized sample of the data, include reproducible code snippets, attach error screenshots, and if the code exceeds 50 lines, share it as a .py file.
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