matplotlib

Matplotlib data visualization library. Use for plotting.

7 stars

byG1Joshi

View on GitHub Installation ↓

Best use case

matplotlib is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Matplotlib data visualization library. Use for plotting.

Teams using matplotlib should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/matplotlib/SKILL.md --create-dirs "https://raw.githubusercontent.com/G1Joshi/Agent-Skills/main/skills/ai-ml/matplotlib/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/matplotlib/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How matplotlib Compares

Feature / Agent	matplotlib	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Matplotlib data visualization library. Use for plotting.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Matplotlib

Matplotlib is the grandfather of Python plotting. It is verbose but provides **infinite control**.

## When to Use

- **Publication**: Creating figures for papers (PDF/SVG).
- **Customization**: When you need to control every pixel.
- **Backend**: It powers Seaborn and Pandas plotting.

## Core Concepts

### Figure & Axes

The container (`fig`) and the plot area (`ax`). Always use the OO interface, not `plt.plot`.

### Backends

Interactive (`Qt`, `WebAgg`) vs Static (`Agg`).

## Best Practices (2025)

**Do**:

- **Use `plt.subplots()`**: The Object-Oriented style.
- **Use `style.use('seaborn-v0_8')`**: Make it look decent by default.

**Don't**:

- **Don't use `pylab`**: It is deprecated and pollutes namespaces.

## References

- [Matplotlib Documentation](https://matplotlib.org/)