📅 2023-07-30 — Session: Optimized Disk Space and DataFrame Operations

🕒 09:00–10:45
🏷️ Labels: Disk Usage, Pandas, Data Manipulation, Linux, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to optimize disk space on a Linux system and perform advanced data manipulation tasks using Python’s pandas library.

Key Activities

  • Disk Space Management: Utilized terminal commands df and du to check disk usage and identify large files in the /home partition. Removed unnecessary files using rm to free up space.
  • DataFrame Manipulation: Executed several pandas operations including filtering DataFrames from multiple CSV files, selecting top rows from grouped data, creating new columns based on conditions, and using mask for conditional value replacement.
  • String Operations: Applied str.replace and str.strip methods for precise string manipulation within DataFrames.
  • Error Handling: Addressed the SpecificationError in pandas by using multiple agg statements for aggregation without nesting.

Achievements

  • Successfully freed up disk space by removing large unnecessary files.
  • Enhanced skills in pandas for data manipulation, including filtering, grouping, and string operations.
  • Resolved a common error in pandas, improving data processing workflows.

Pending Tasks

  • Further exploration of advanced pandas functions for more complex data manipulation scenarios.
  • Continuous monitoring of disk space to prevent future storage issues.