Refactored JSON Data Pipeline with Pandas

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📅 2023-06-29 — Session: Refactored JSON Data Pipeline with Pandas

🕒 08:00–08:25
🏷️ Labels: Python, JSON, Dataframe, Error Handling, Pandas
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to improve the data pipeline for handling JSON data files from 2022 and 2023 using Python, focusing on extracting and processing ‘placeVisit’ elements into a structured format.

Key Activities

  • Loaded JSON files using Python’s json module and os for directory traversal.
  • Extracted placeVisit elements from JSON data using list comprehension.
  • Converted extracted data into a pandas DataFrame, addressing issues with deprecated methods.
  • Fixed an AttributeError by replacing the deprecated append method with concat for DataFrame creation.
  • Implemented error handling for potential KeyError during JSON data extraction.

Achievements

  • Successfully refactored the data pipeline to use concat instead of the deprecated append method, ensuring compatibility with newer pandas versions.
  • Improved error handling mechanisms to gracefully manage missing keys in JSON data.

Pending Tasks

  • Further optimization of the data extraction process may be required for larger datasets. Consider parallel processing or more efficient data structures.

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