Developed Python utilities for data file management

📅 2023-05-22 — Session: Developed Python utilities for data file management

🕒 02:30–03:00
🏷️ Labels: Python, Data Processing, File Handling, Pandas, Numpy
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to develop Python utilities for managing data files, focusing on generating base names from data structures and saving them in various formats.

Key Activities:

• Implemented a Python script to save modified style data to a JSON file.
• Developed a method to generate base names from series data using two-level indices.
• Utilized NumPy’s ravel function to flatten nested arrays before base name generation.
• Demonstrated the use of iterrows() to iterate over a Pandas series with multi-level indices for base name generation.
• Converted a DataFrame into a multi-index series to generate base names by combining index values.
• Created base names from a DataFrame using specific tags and unique values.
• Saved generated base names to a text file, ensuring each name was on a new line.
• Provided a solution to save data to CSV files, separating list lengths and styles into different files.

Achievements:

• Successfully created a suite of Python scripts for data manipulation and file operations, enhancing the ability to manage and store data efficiently.

Pending Tasks:

• Review and optimize the code for performance improvements and potential edge cases.