pycatch22 0.4.0

22 CAnonical Time-series Features

pycatch22 - CAnonical Time-series CHaracteristics in python

About

catch22 is a collection of 22 time-series features coded in C that can be run from Python, R, Matlab, and Julia.

This package provides a python implementation.

For details about the features, see the main catch22 repository and its wiki, or read the paper:

• 📗 Lubba et al. (2019). catch22: CAnonical Time-series CHaracteristics.

Usage notes

• When presenting results using catch22, you must identify the version used to allow clear reproduction of your results. For example, CO_f1ecac was altered from an integer-valued output to a linearly interpolated real-valued output from v0.3.
• Important Note: catch22 features only evaluate dynamical properties of time series and do not respond to basic differences in the location (e.g., mean) or spread (e.g., variance).
  • From catch22 v0.3, If the location and spread of the raw time-series distribution may be important for your application, we suggest applying the function argument catch24 = True to your call to the catch22 function in the language of your choice. This will result in 24 features being calculated: the catch22 features in addition to mean and standard deviation.