peccary 0.1.1

Package for identifying regular, complex, and stochastic behavior in timeseries

PECCARY

PECCARY (Permutation Entropy and statistiCal Complexity Analysis for astRophYsics) is a pure-python package for distinguishing between regular, complex, and stochastic behavior in timeseries. It is based on the work by Bandt & Pompe (2002) , Rosso et al. (2007) , and Weck et al. (2015). This code is also based on work by collaborator David Schaffner, who wrote the initial version of some of the method, called PESCy.

In addition to calculating the Permutation Entropy ($H$) and Statistical Complexity ($C$) values, this package also has plotting tools for the $HC$-plane and visualizing the resulting $[H,C]$ values for various timeseries.

A detailed summary of the PECCARY method can be found in Hyman, Daniel, & Schaffner (arXiv:2407.11970). If you make use of PECCARY, please include a citation to Hyman, Daniel, & Schaffner (arXiv:2407.11970) in any publications.

Documentation

The documentation for peccary is hosted on Read the Docs.

Installation and Dependencies

The recommended way to install the latest stable version of peccary is with pip via the terminal with the command:

>>> pip install peccary

You can also use the command:

>>> python -m pip install peccary

See the installation instructions in the documentation for more instructions.