# Pandas Data Wrangling

> Cleaning, filtering, merging, and aggregating massive tabular data structures using Pandas.

- Skill: `lord1egypt/pandas-data-wrangling` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lord1egypt/pandas-data-wrangling`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lord1egypt/pandas-data-wrangling/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- License: MIT license
- Author: Lord1Egypt (https://skillmd.com/u/lord1egypt)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/lord1egypt/pandas-data-wrangling

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# Pandas Data Wrangling

## Overview
Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool.

## When to Use This Skill
Use to clean messy data files, calculate data summaries, or handle tabular outputs in python tasks.

## Quick Start (with runnable code examples)

```python
import pandas as pd

# Load dataset
df = pd.DataFrame({"Name": ["Akim", "Lord"], "Score": [95, 98]})
# Filter and output
high_scores = df[df["Score"] > 96]
print(high_scores)
```

## Advanced Usage
Implement groupby pivot queries, merge databases, handle missing nan values, and export files to Excel sheets.

## Key References
- [Pandas Documentation](https://pandas.pydata.org/docs/)

## Dependencies
- pandas>=2.0.0