pysprint 0.14.0

Spectrally refined interferometry for Python

PySprint

Spectrally Refined Interferometry for Python

Name	PySprint
PyPI package
Anaconda package
Development status	Pre-Alpha
License

Description

PySprint provides an interface for Spectrally resolved interferometry in Python. PySprint implements all the evaluation methods described in the literature, however the API and the software itself might change over time. Documentation is sparse and not complete yet and the testing is in very early stage. We have a currently pointless Rust extension module, which might turn into something useful later.

• âś“ Minimum-maximum method
• âś“ Phase modulated cosine function fit method
• âś“ Fourier method
• âś“ Windowed Fourier transform method
• âś“ Stationary phase point method

Installation

PySprint requires at least Python 3.6 to run.

Install with

pip install pysprint

or install on Anaconda with:

(CURRENTLY NOT AVAILABLE) conda install -c ptrskay pysprint -c conda-forge

Requirements:

• numpy
• scipy
• matplotlib
• pandas
• Jinja2
• scikit-learn

Optional packages:

• lmfit - for detailed curve fitting results
• numba - to speed up non uniform FFT calculation
• dask - for parallel WFT run

Documentation

The documentation is hosted on readthedocs.io.