# Data Science Matplotlib Visualization

> Use when working with Matplotlib — data visualization, charts, plots, scientific graphics

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

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# Matplotlib 可视化指南

## 基础图表

### 创建多子图布局
```python
import matplotlib.pyplot as plt

fig, axes = plt.subplots(2, 2, figsize=(10, 8))

# 散点图
axes[0, 0].scatter(x, y, s=20, alpha=0.5)
axes[0, 0].set_title('散点图')

# 折线图
axes[0, 1].plot(x, y, 'g-', linewidth=2)

# 直方图
axes[1, 0].hist(data, bins=20, color='skyblue')

# 箱线图
axes[1, 1].boxplot([data1, data2])

plt.tight_layout()
plt.show()
```