📅 2023-10-04 — Session: Enhanced Python Data Processing and JSON Handling
🕒 00:25–01:25
🏷️ Labels: Python, Data Processing, JSON, Code Optimization
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The objective of this session was to enhance and refactor Python scripts for data processing and JSON handling, focusing on improving code efficiency, readability, and data integrity.
Key Activities:
- Data Processing Script Enhancements: Modified scripts to reset data after processing each grouper and load existing data files to prevent overwriting during quarterly data processing.
- Refactored Data Processing Function: Streamlined a Python function to reduce code duplication and enhance clarity by processing data based on specified groupers and base string settings.
- Unified Iteration Over Base Strings: Utilized a mapping dictionary to unify iteration over base strings and datasets, improving code readability and efficiency.
- Refining Data Grouping in JSON Processing: Revised the approach to handle data grouping in JSON tasks, ensuring updates to the
all_datadictionary are specific to each base string and grouper combination. - Updated
merge_jsonsFunction: Improved the merging of JSON data structures, correctly updating existing quarter values and adding new ones without overwriting data. - Data Separation in Group Processing: Managed data segregation between
groupersPandgroupersH, ensuring distinct data handling and correct merging with existing data. - Generate Quarterly Dates in Python: Created a function using
dateutil.relativedeltato generate quarterly dates between specified start and end dates.
Achievements:
- Successfully refactored and enhanced Python data processing scripts, leading to more efficient and readable code.
- Improved JSON data handling to maintain data integrity and prevent overwriting.
Pending Tasks:
- Further testing is needed to validate the enhancements in a production environment.
- Documentation of code changes for future reference and team collaboration.