# Data Science Pandas Best Practices

> Use when working with Pandas — DataFrame operations, data manipulation, best practices

- Skill: `liaosw97/data-science-pandas-best-practices` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add liaosw97/data-science-pandas-best-practices`
- Raw SKILL.md: https://api.skillmd.com/api/skills/liaosw97/data-science-pandas-best-practices/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: liaosw97 (https://skillmd.com/u/liaosw97)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/liaosw97/data-science-pandas-best-practices

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# Pandas 最佳实践

## 数据处理

### 避免链式赋值
```python
# 不推荐
filtered_data = raw_data[raw_data['score'] > 80]
filtered_data['grade'] = 'A'

# 推荐
filtered_data = raw_data.loc[raw_data['score'] > 80].copy()
filtered_data['grade'] = 'A'
```

### 使用向量化操作
```python
# 慢速循环
for i in range(len(df)):
    df.iloc[i, 'new_col'] = df.iloc[i, 'old_col'] * 2

# 快速向量化
df['new_col'] = df['old_col'] * 2
```