Pandas Data Manipulation Rules
by oimiragieo
Focuses on pandas-specific rules for data manipulation, including method chaining, data selection using loc/iloc, and groupby operations.
Skill Details
Repository Files
3 files in this skill directory
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.
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