Fundamentals 4 min read

How to Merge Multiple Pandas DataFrames into One Excel Sheet with Spacing

This article walks through a practical solution for combining twelve distinct pandas DataFrames into a single Excel worksheet, inserting two blank rows between each table, and offers alternative approaches using CSV intermediate files, complete with code snippets and visual examples.

Python Crawling & Data Mining
Python Crawling & Data Mining
Python Crawling & Data Mining
How to Merge Multiple Pandas DataFrames into One Excel Sheet with Spacing

1. Introduction

Hello, I'm PiPi. Recently a member of the Python community asked a pandas practical question: how to place twelve different DataFrames into the same Excel sheet, with two empty rows separating each table.

2. Implementation

A fellow member provided the following code (shown in the image below). The idea is to store each DataFrame in a list, iterate over the list, and increment the start row when writing to the sheet.

Another suggestion was to first write each DataFrame to a CSV file, adding two blank lines after each table, then convert the combined CSV to an XLSX file.

Following the template, the author applied their own data and successfully generated the combined sheet, as shown in the screenshots.

The problem was resolved.

3. Conclusion

This article presented a Pandas practical problem and provided detailed analysis and code implementation to help the community solve it.

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Python Crawling & Data Mining
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