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A lightweight toolkit for numerical transformations

Project description

transix

PyPI Python CI License Docs

transix is a lightweight toolkit for linear, deterministic, matrix-based representation transforms.

Installation

transix can be installed from PyPI using the command pip install transix

Example: Fortescue Transform

import transix as tx
Ea = 60+0j
Eb = 45-75j
Ec = -21+120j
seq = tx.abc_to_sym(Ea, Eb, Ec)

a0, b0, c0 = seq.zero
a1, b1, c1 = seq.pos
a2, b2, c2 = seq.neg

Testing

All transforms are tested and verifiable via pytest

Roadmap

Planned additions include:

  • Clarke transforms
  • Park transforms
  • Inverse transforms
  • Expanded documentation and examples

Contributing

Issues and pull requests are welcome.

If you find a bug, have a question, or want to add a transformation, please open an issue on GitHub.


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