periodicity 1.0b6
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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.
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