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https://github.com/daniloceano/magica

Magic Adjustment - Python package for statistical data adjustment with focus on wind data

https://github.com/daniloceano/magica

Science Score: 26.0%

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    Low similarity (9.0%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Magic Adjustment - Python package for statistical data adjustment with focus on wind data

Basic Info
  • Host: GitHub
  • Owner: daniloceano
  • Language: Python
  • Default Branch: main
  • Size: 11.3 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 10 months ago · Last pushed 10 months ago
Metadata Files
Readme

README.md

MagicA Logo # MagicA *Magic Adjustment - Advanced Statistical Data Fitting*

MagicA (Magic Adjustment) is a Python package for statistical data adjustment, with special focus on wind data, including advanced fitting techniques, goodness-of-fit tests, and visualization.

Planned Features

  • ✨ Distribution fitting (Weibull, Normal, Lognormal, etc.)
  • 📊 Goodness-of-fit tests (Kolmogorov-Smirnov, Anderson-Darling, etc.)
  • 🎯 Automatic best distribution selection
  • 📈 Integrated visualization functions
  • 🌪️ Specialized in wind data analysis
  • 🔧 Advanced statistical fitting techniques

Documentation

📖 Documentation: magica.readthedocs.io (under construction)

The documentation is currently being built and will include: - Comprehensive API reference - Tutorials and examples - Best practices for wind data analysis

Development

This project is in early development. The approach is incremental, adding features as needed.

License

MIT License

Author

  • Danilo Couto de Souza
  • Email: danilo.oceano@gmail.com
  • GitHub: @daniloceano

Owner

  • Name: Danilo Couto de Souza
  • Login: daniloceano
  • Kind: user
  • Location: São Paulo

GitHub Events

Total
  • Push event: 16
Last Year
  • Push event: 16

Dependencies

pyproject.toml pypi
  • matplotlib >=3.4.0
  • numpy >=1.20.0
  • pandas >=1.3.0
  • scikit-learn >=1.0.0
  • scipy >=1.7.0
  • seaborn >=0.11.0