Python library for calculating Kramers-Kronig transform written in Rust.
You can install with pip command.
$ pip install pykk
Or build from the source.
Use maturin for building. If you use poetry, you can build by the following commands.
$ poetry install
$ poetry run maturin build --release
You can find .whl file in $PROJECT_ROOT/target/wheels. Install it by pip command.
This library has two functions for calculating Kramers-Kronig transform, the transformation from real to imaginary part and vice versa.
import pykk
energy = [1, 2, 3, 4] # the values MUST have the same intervals
real = [1, 2, 3, 4]
imag = pykk.real2imag(energy, real) # real -> imaginary part
real_kk = pykk.imag2real(energy, imag) # imaginary -> real part
Compare the performance with the code implemented by Python. The length of the data is ~ 1000 data points.
| Python 3.8 | pykk |
|---|---|
| 37 s | 0.4 ms |
This application contains artifacts distributed under the license of the Apache License, Version 2.0.
FAQs
The fast Kramers-Kronig transform
We found that pykk demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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