Pandas Data Manipulation Rules

name: pandas-data-manipulation-rules description: Focuses on pandas-specific rules for data manipulation, including method chaining, data selection using loc/iloc, and groupby operations. version: 1.0.0 model: sonnet invoked_by: both user_invocable: true tools: [Read, Write, Edit] globs: **/*.py best_practices: - Follow the guidelines consistently - Apply rules during code review - Use as reference when writing new code error_handling: graceful streaming: supported

Pandas Data Manipulation Rules Skill

• Use pandas for data manipulation and analysis.
• Prefer method chaining for data transformations when possible.
• Use loc and iloc for explicit data selection.
• Utilize groupby operations for efficient data aggregation.

Memory Protocol (MANDATORY)

Before starting:

cat .claude/context/memory/learnings.md

After completing: Record any new patterns or exceptions discovered.

ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.