How to Extract 'name' Values from Pandas Columns Using Regex – Quick Code Solutions

1. Introduction

Earlier I was asked in a Python community about a Pandas problem. The question screenshot is shown below.

The code in question is:

songid_tags_df['tblTags'].map(lambda x : re.findall("'name': '(.*?)'", x) if isinstance(x,str))

2. Implementation

Here is a sample solution I provided:

songid_tags_df['tblTags'].map(lambda x: re.findall("'name': '(.*?)'", x) if isinstance(x, str) else x)

Another contributor offered a workable alternative:

songid_tags_df['tblTags'].astype(str).str.extract(r"'name': '(.*?)'", x)

These snippets successfully helped the asker resolve the issue.

3. Conclusion

This article reviews a Pandas data‑extraction problem, provides detailed explanations and code implementations, and demonstrates how to extract specific values from a DataFrame column.