📅 2023-02-10 — Session: Enhanced Python CSV and DataFrame Processing
🕒 00:05–01:30
🏷️ Labels: Python, CSV, Dataframe, Error Handling, Pandas
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The session aimed to enhance Python scripts for processing CSV files and manipulating DataFrames, focusing on file handling, data transformation, and error management.
Key Activities:
- Developed Python code for CSV transformation, including renaming output files based on specific criteria.
- Reworked a function to modify file paths and ensure target directories exist, demonstrating usage in a loop with CSV files.
- Updated functions for transforming file paths and names, extracting tags, and formatting output correctly.
- Implemented CSV file processing using pandas, grouping data by specific columns and saving results.
- Applied string manipulation in DataFrame columns using
str.zfill()to add leading zeros. - Corrected string modification code and addressed an
AttributeErrorby ensuring inputs are strings. - Created a mapping dictionary to correct spelling discrepancies in datasets.
Achievements:
- Successfully refactored and enhanced Python code for CSV and DataFrame operations.
- Improved error handling and data processing techniques.
Pending Tasks:
- Further testing of the updated functions in different scenarios to ensure robustness.
- Integration of these functions into larger data processing pipelines.