# Pandas

> Manipulates and analyzes data with pandas, including DataFrames, group operations, and time series.

- Skill: `ssrjkk/pandas` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add ssrjkk/pandas`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ssrjkk/pandas/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: ssrjkk (https://skillmd.com/u/ssrjkk)
- Updated: 2026-08-19
- Page: https://skillmd.com/skills/ssrjkk/pandas

---

# Pandas

> Data manipulation and analysis library for Python.

## Quick Start
```python
import pandas as pd
df = pd.read_csv('data.csv')
df.info(); df.describe(); df['category'].value_counts()
```

## Selection & Grouping
```python
df[df['price'] > 100]                              # Filter
df.groupby('category').agg({'price': ['mean', 'std'], 'quantity': 'sum'})
df['date'] = pd.to_datetime(df['date'])
df.set_index('date', inplace=True).resample('M').mean()  # Time series
```

## When to Use
- CSV/Excel data analysis
- Data cleaning and transformation
- Time series analysis
- ETL pipeline development

## Validation
1. DataFrame operations execute correctly
2. GroupBy aggregations return expected values
3. Missing values handled properly