Description:
periodicity 1.0b6
Periodicity
Useful tools for periodicity analysis in time series data.
Documentation: https://periodicity.readthedocs.io
Currently includes:
Auto-Correlation Function (and other general timeseries utilities!)
Spectral methods:
Lomb-Scargle periodogram
Bayesian Lomb-Scargle with linear Trend (soon™)
Time-frequency methods:
Wavelet Transform
Hilbert-Huang Transform
Composite Spectrum
Phase-folding methods:
String Length
Phase Dispersion Minimization
Analysis of Variance (soon™)
Decomposition methods:
Empirical Mode Decomposition
Local Mean Decomposition
Variational Mode Decomposition (soon™)
Gaussian Processes:
george implementation
celerite2 implementation
celerite2.theano implementation
Installation
The latest version is available to download via PyPI: pip install periodicity.
Alternatively, you can build the current development version from source by cloning this repo (git clone https://github.com/dioph/periodicity.git) and running pip install ./periodicity.
Development
If you're interested in contributing to periodicity, install pipenv and you can setup everything you need with pipenv install --dev.
To automatically test the project (and also check formatting, coverage, etc.), simply run tox within the project's directory.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
There are no reviews.
