sane-figs 0.1.1

Publication-ready figures for Matplotlib, Seaborn, Plotly, and Altair

Sane-Figs

Publication-ready figures for Matplotlib, Seaborn, Plotly, and Altair.

Overview

Sane-Figs is a Python package that automatically applies publication-ready styling to figures generated with popular Python visualization libraries. It solves the common problem of figures having text that is too small for articles and presentations.

Features

• Automatic Styling: Apply publication-ready defaults with a single function call
• Multiple Libraries: Support for Matplotlib, Seaborn, Plotly, and Altair
• Version-Aware: Automatically detects library versions and adapts to API changes
• Two Usage Modes: Global setup or context manager for scoped styling
• Presets: Built-in presets for articles and presentations
• Colorways: Publication-ready color palettes (default, nature, vibrant, pastel, colorblind-safe)
• Watermarks: Text and image watermark support

Installation

pip install sane-figs

For full library support:

pip install sane-figs[all]

Or install with specific libraries:

pip install sane-figs[matplotlib,seaborn]

Quick Start

Global Setup

import sane_figs
import matplotlib.pyplot as plt

# Apply publication defaults globally
sane_figs.setup(mode='article')

# Your existing code works as-is
plt.plot([1, 2, 3], [1, 4, 9])
plt.title('My Figure')
plt.xlabel('X Axis')
plt.ylabel('Y Axis')
plt.savefig('figure.png', dpi=300)

Context Manager

import sane_figs
import matplotlib.pyplot as plt

# Scoped styling
with sane_figs.publication_style(mode='article'):
    plt.plot([1, 2, 3], [1, 4, 9])
    plt.title('My Figure')
    plt.savefig('figure.png')

# Styling resets after context
plt.plot([1, 2, 3], [1, 4, 9])  # Back to default styling

With Colorways

import sane_figs
import matplotlib.pyplot as plt

# Apply colorway
sane_figs.setup(mode='article', colorway='nature')

# List available colorways
print(sane_figs.list_colorways())
# ['default', 'nature', 'vibrant', 'pastel', 'colorblind-safe']

With Watermarks

import sane_figs
import matplotlib.pyplot as plt

# Text watermark
sane_figs.setup(mode='article', watermark='© 2025 My Lab')

# Image watermark
sane_figs.setup(
    mode='article',
    watermark=sane_figs.create_image_watermark('logo.png', opacity=0.2)
)

Presets

Article Mode

Optimized for print publication:

• Figure size: (6.4, 4.8) inches
• DPI: 300
• Title: 14pt
• Axis labels: 12pt
• Legend: 10pt
• Tick labels: 10pt

Presentation Mode

Optimized for slides:

• Figure size: (10, 7.5) inches
• DPI: 150
• Title: 24pt
• Axis labels: 20pt
• Legend: 16pt
• Tick labels: 16pt

Colorways

• default: Publication-ready palette optimized for print
• nature: Earth tones inspired by nature
• vibrant: High contrast colors for presentations
• pastel: Soft, professional colors
• colorblind-safe: Designed for colorblind accessibility

API Reference

Main Functions

• setup(mode='article', libraries=None, colorway=None, watermark=None) - Apply publication defaults globally
• publication_style(mode='article', libraries=None, colorway=None, watermark=None) - Context manager for scoped styling
• list_colorways() - List available colorways
• create_text_watermark(text, **kwargs) - Create a text watermark configuration
• create_image_watermark(image_path, **kwargs) - Create an image watermark configuration

Per-Library Functions

• setup_matplotlib(mode='article', colorway=None, watermark=None)
• setup_seaborn(mode='article', colorway=None, watermark=None)
• setup_plotly(mode='article', colorway=None, watermark=None)
• setup_altair(mode='article', colorway=None, watermark=None)

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.