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debug:pandas

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Systematic Pandas debugging guide.

Data & Analytics#debugging#memory#merge#pandas#KeyError#dataframes#SettingWithCopy
AuthorSnakeO
Version1.0.0
Installs0

System Documentation

What problem does it solve?

A systematic approach to debugging Pandas DataFrames and operations using the OILER framework (Orient, Investigate, Locate, Experiment, Reflect).

Core Features & Use Cases

  • Investigate common Pandas issues such as SettingWithCopyWarning, KeyError on column access, and merge mismatches.
  • Follow the OILER workflow to orient, investigate, locate, experiment, and reflect on data pipeline problems.
  • Apply best practices to memory optimization, dtype handling, and index alignment in data analysis tasks.

Quick Start

Ask the AI to diagnose a Pandas issue in a DataFrame, then provide a step-by-step debugging plan and safe code examples.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: debug:pandas
Download link: https://github.com/SnakeO/claude-debug-and-refactor-skills-plugin/archive/main.zip#debug-pandas

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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