Fundamentals 4 min read

How to Merge 12 Pandas DataFrames into One Excel Sheet with Spacing

This article walks through how to combine twelve distinct pandas DataFrames into a single Excel worksheet, inserting two blank rows between each table, by determining the current sheet’s last occupied row and appending data accordingly, complete with code snippets and visual guidance.

Python Crawling & Data Mining
Python Crawling & Data Mining
Python Crawling & Data Mining
How to Merge 12 Pandas DataFrames into One Excel Sheet with Spacing

1. Introduction

Hello, I am PiPi. In a Python community I was asked a practical pandas question: how to place twelve different DataFrames into the same Excel sheet, each separated by two empty rows, even though the tables differ.

2. Implementation

One contributor suggested that the existing sheet is being overwritten; instead you should first obtain the number of visible rows in the existing sheet and use that as the starting row for the new data. The following screenshots illustrate the code and the steps to achieve this.

Later guidance indicated that you need to get the visible row count of the existing sheet as the start row for writing.

A simpler solution can be copied directly into a .py file, as shown in the next screenshot.

3. Conclusion

The problem was solved by programmatically finding the next empty row and appending each DataFrame with a two‑row gap. The provided code can be copied into a .py file, and the approach can be reused for similar data‑consolidation tasks.

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