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A Python module for generating various plots using Matplotlib

Project description

pyillustrator

pyillustrator is a modular Python package designed for creating beautiful and configurable matplotlib subplot grids — perfect for creating aligned and aesthetic scientific figures, especially for publications.


Features

  • Golden, square, equal or custom aspect ratios
  • Fine control over subplot spacing, margins, and grid layout
  • Double-axis plotting with horizontal or vertical pairs
  • Centralized configuration system
  • LaTeX-friendly and publication-ready styling

Installation

To install it from the repository you can install it

git clone https://github.com/yourusername/pyillustrator.git
cd pyillustrator
pip install .

PyPi installation is also available:

pip install pyillustrator

Project Structure

pyillustrator/
├── __init__.py 
├── source/
│   ├── __init__.py         # Module exports
│   ├── plots.py            # Core plotting functions
│   ├── config.py           # Default settings and aspect ratio constants
│   └── utils.py            # Axes formatting and layout utilities

Usage

Basic grid plot

from pyillustrator import grid_plot

fig, axs = grid_plot(2, 2)
axs[0,0].plot([0,1], [0,1])

Double grid (e.g., for comparison)

from pyillustrator import grid_plot_double

fig, axs = grid_plot_double(1, 2, pair='Horizontal')
axs[0,0,0].plot(...)  # Left half
axs[0,0,1].plot(...)  # Right half

Custom configuration

from pyillustrator import DEFAULT_CONFIG, grid_plot

config = DEFAULT_CONFIG.copy()
config["figwidth"] = 20
config["aspect"] = "Equal"
config["style"] = "seaborn"

fig, axs = grid_plot(2, 2, config)

License

This project is licensed under the MIT License. See the LICENSE file for details.


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