catch22: CAnonical Time-series CHaracteristics
catch22 GitHub
  • Welcome to catch22
    • Citing catch22
    • Publications using catch22
  • LANGUAGE-SPECIFIC DOCS
    • Python
    • MATLAB
    • R
    • Julia
    • C-compiled
  • INFORMATION ABOUT CATCH22
    • Feature Descriptions
      • Feature Overview Table
      • Distribution shape
      • Extreme event timing
      • Linear autocorrelation structure
      • Nonlinear autocorrelation
      • Symbolic
      • Incremental differences
      • Simple forecasting
      • Self-affine scaling
      • Other
    • API Reference
      • Python API
      • Julia API
      • R API
      • MATLAB API
    • Contributing to catch22
      • Contributor Code of Conduct
    • Related Packages
    • License
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On this page
  • Python Usage Guide
  • Installation
  • Getting Started: Basic Usage
  • Expected Input
  • Computing catch22 features
  • Expected output
  • Advanced Usage
  • 1. Catch24
  • 2. Computing Individual Features
  • 3. Short Names
  • 4. Multithreading
  • FAQ
  1. LANGUAGE-SPECIFIC DOCS

Python

A detailed usage guide for installing and using catch22 in Python.

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Last updated 8 months ago