General-scientific plot based on matplotlib
Project description
Welcome to gsplot (General-Scientific Plot), a toolkit designed to elevate capabilities of data visualization based on matplotlib. This package is specifically tailored for creating high-quality figures aimed at the scientific field.
[!WARNING] This package is beta quality. Expect breaking changes and many bugs 🐛. Please report any issue you encounter 🤝.
✨ Features
- Better Plot, Less Effort: Effortlessly create high-quality figures ⚛️
- Compatibility: Fully compatible with matplotlib 📊
- Customization: Tailor configurations to suit your needs 🎨
- Reproducibility: Save package states for reproducible plots 📦
📈 Example using gsplot
🌃 Example with Python REPL 🐍 and neovim 🌟
🚀 Getting Started
To use gsplot, ensure that you have Python 3.10+ installed. You can install the package using pip:
pip install gsplot
👥 Authors
This repository was forked from codes developed by Giordano Mattoni.
- Giordano Mattoni
- Soichiro Yamane
📜 License
This project is licensed under the MIT License. See the LICENSE file for details.
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