SciStyle

A custom Matplotlib styling package for scientific plots.

Installation

pip install scistyle

Usage

import matplotlib.pyplot as plt
import scistyle

# List available styles
print(scistyle.list_styles())
# ['custom_style', 'ieee', 'nature', 'poster']

# Apply a specific style
scistyle.use_style('nature')

# Or combine styles (e.g., use IEEE sizing with custom colors)
# scistyle.use_style(['ieee', 'custom_style'])

# Create a plot
plt.plot([1, 2, 3], [4, 5, 6], label="Series 1")
plt.xlabel("X-axis")
plt.ylabel("Y-axis")
plt.title("Sample Plot")
plt.legend()
plt.show()

Visual Gallery

Default (custom_style)	IEEE Journal (ieee)

Nature Journal (nature)	Presentation Poster (poster)

Available Styles

• custom_style: The default serif scientific style (high DPI, LaTeX enabled).
• ieee: Following IEEE journal guidelines (Times New Roman, specific sizing).
• nature: Following Nature journal guidelines (Sans-serif, compact).
• poster: High-visibility style with large fonts and thick lines for presentations.

Features

• Journal Presets: Ready-to-use styles for IEEE, Nature, and more.
• Modern Packaging: Fully installable via pip.
• High Quality: Pre-configured for publication-quality PDF and PNG exports (300 DPI).
• Flexible: Combine multiple styles or use them alongside standard Matplotlib styles.
• CI/CD: Automated testing via GitHub Actions.