Enhanced CSV data processing and file management

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📅 2023-02-10 — Session: Enhanced CSV data processing and file management

🕒 00:05–01:30
🏷️ Labels: Python, CSV, Data Processing, File Management, Pandas
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to enhance the CSV data processing and file management capabilities using Python, specifically focusing on transforming file paths, renaming files, and manipulating data within CSVs.

Key Activities

  • Developed and updated Python functions for CSV transformation, including renaming output files based on specific criteria.
  • Reworked functions to modify file paths and ensure target directories exist, with usage examples provided for processing CSV files.
  • Implemented code to read multiple CSV files, group data by specific columns, and save aggregated results using pandas.
  • Added functionality to manipulate DataFrame strings by adding leading zeros and correcting string modification errors.
  • Addressed ‘AttributeError’ in Python, ensuring input to the startswith method is a string.
  • Created a mapping dictionary for correcting spelling discrepancies in dataset section names.

Achievements

  • Successfully implemented file path modification and CSV transformation functions.
  • Enhanced data manipulation techniques within DataFrames, including string formatting and error handling.
  • Developed a robust method for standardizing spelling variations in data.

Pending Tasks

  • Further testing of the implemented functions to ensure robustness across different datasets.
  • Optimization of file processing speed and efficiency.

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