Optimized Disk Space and DataFrame Operations

• Day: 2023-07-30
• Time: 09:00 to 10:45
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Disk Usage, Pandas, Data Manipulation, Linux, Error Handling

Description

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.

Evidence

• source_file=2023-07-30.sessions.jsonl, line_number=0, event_count=0, session_id=4a1085a6e7b4bd69be34f9e5fac69fd03f43caf4ca9eed4b1fd16705805696f9
• event_ids: []