How to Quickly Parse JSON with Pandas: A Step-by-Step Guide

1. Introduction

In a Python community chat, a user asked how to handle a JSON structure using pandas. The original data screenshot is shown below.

2. Implementation

One contributor suggested an approach, illustrated in the following image.

Another member then wrote a short script based on the provided test file:

import json
import pandas as pd

with open("test", encoding='utf-8') as f:
    json_data = json.load(f)

pd.DataFrame(pd.json_normalize(json_data)['tblTags'].explode().tolist())

During execution, it became apparent that the supplied file was missing a segment, which had to be removed for the code to run.

After fixing the input, the problem was resolved, as shown in the success screenshot.

3. Conclusion

The article demonstrates a practical Python solution for parsing nested JSON with pandas, providing both the reasoning and the exact code needed to achieve the desired data frame.