Merging Multiple DataFrames into One Excel Sheet with pandas concat
This article walks through a Python automation challenge where several DataFrames need to be written to the same workbook sheet, explains why simple appends fail, and provides a complete pandas concat solution with code examples to reliably combine and export the data.
Introduction
Hello, I'm Pipi. Recently a member of the Python master group asked about automating office tasks with Python, specifically how to write multiple DataFrames into the same workbook and sheet.
Problem Statement
Users attempted to append data from n DataFrames into a single sheet but repeatedly failed, even when trying different sheets within the same workbook.
Solution Approach
One contributor suggested using concat to merge the DataFrames before writing them out. Since all DataFrames share identical columns, concatenation is straightforward.
Below is a sample code snippet demonstrating the method:
Further participants refined the approach, as shown in the following screenshots:
Additional tips were added by another contributor:
Conclusion
The provided solution successfully merges multiple DataFrames and writes them to a single Excel sheet, resolving the automation issue. The article also offers practical advice for posting code in community groups, such as sharing concise snippets or attaching .py files for longer scripts.
Signed-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
Python Crawling & Data Mining
Life's short, I code in Python. This channel shares Python web crawling, data mining, analysis, processing, visualization, automated testing, DevOps, big data, AI, cloud computing, machine learning tools, resources, news, technical articles, tutorial videos and learning materials. Join us!
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.
