A lightweight toolkit for numerical transformations
Project description
transix
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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