Fundamentals 3 min read

How to Aggregate and Concatenate Columns in Pandas: A Practical Guide

This article walks through a real‑world Pandas grouping problem, showing how to aggregate song and actor data, concatenate song IDs with commas, and sum tags, providing clear code examples and explanations to help Python learners solve similar data‑processing challenges.

Python Crawling & Data Mining
Python Crawling & Data Mining
Python Crawling & Data Mining
How to Aggregate and Concatenate Columns in Pandas: A Practical Guide

Introduction

Hello, I am PiPi. A few days ago, a member of the Python elite group asked a Pandas data‑processing question. The original query screenshot is shown below.

The expected result is illustrated in the following image.

Implementation Process

The problem initially looks confusing and requires several readings. A workable solution was provided:

df.groupby(by=["song_name","actor_name"], sort=False)[["tblTags","song_id"]].sum()

However, the song_id column cannot specify a delimiter, so commas must be added manually.

A simpler approach is to add commas during aggregation and then strip trailing commas:

df.groupby(["song_name", "actor_name"]).agg({
    "song_id": lambda x: ",".join(x),
    "tblTags": sum
})

This method successfully resolved the issue for the user.

Conclusion

The article presented a specific Pandas data‑processing challenge, explained the problem, and offered concrete code solutions that helped the community solve it.

Thanks to the contributors who provided the ideas and code snippets.

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Python Crawling & Data Mining
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