Implemented Python scripts for data inspection and manipulation

• Day: 2026-01-09
• Time: 14:25 to 14:30
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Data Processing, CSV, JSON, Dataframe

Description

Session Goal

The session aimed to develop and execute Python scripts for inspecting and manipulating data from CSV and JSON files.

Key Activities

• Implemented a script to iterate through relative paths and print each path along with its columns using a custom ‘cols’ function.
• Developed a CSV file inspection script to print column names and their counts.
• Created a Python function to print list items with their indices, demonstrated with CSV file paths.
• Demonstrated filtering of specific columns from CSV data using list comprehension.
• Designed a function to extract fields from JSON structures and print them if they exist.
• Grouped a DataFrame by ‘stage’ and sorted it by ‘relpath’, creating a dictionary of sorted lists.

Achievements

Successfully executed scripts for data inspection, list manipulation, and data grouping, enhancing the ability to process CSV and JSON data efficiently.

Pending Tasks

• Further optimization of scripts for larger datasets.
• Integration of these scripts into a larger data processing pipeline.

Evidence

• source_file=2026-01-09.sessions.jsonl, line_number=14, event_count=0, session_id=8886b9e066f6fe91c30f9e243bfa2399bc61ca4d4303e061e8e5357f3bdb3735
• event_ids: []