styling_guide

Comprehensive guide for styling and customizing matplotlib visualizations.

Skills
Scientific
0

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

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Install (Claude Code)

mkdir -p .claude/skills/styling-guide-3 && curl -fsSL https://doutorai.pt/data/lib/skills__styling-guide-3.md -o .claude/skills/styling-guide-3/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Matplotlib Styling Guide

Comprehensive guide for styling and customizing matplotlib visualizations.

## Colormaps

### Colormap Categories

**1. Perceptually Uniform Sequential**
Best for ordered data that progresses from low to high values.
- `viridis` (default, colorblind-friendly)
- `plasma`
- `inferno`
- `magma`
- `cividis` (optimized for colorblind viewers)

**Usage:**
```python
im = ax.imshow(data, cmap='viridis')
scatter = ax.scatter(x, y, c=values, cmap='plasma')
```

**2. Sequential**
Traditional colormaps for ordered data.
- `Blues`, `Greens`, `Reds`, `Oranges`, `Purples`
- `YlOrB

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