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pyEntropy (pyEntrp)

py310 status py311 status py312 status py313 status py314 status py315 status

  1. Quick start
  2. Usage
  3. Contributors and participation

pyEntropy is a lightweight library built on top of NumPy that provides functions for computing various types of entropy for time series analysis.

The library currently supports the following types of entropy computation:

  • Shannon Entropy shannon_entropy
  • Sample Entropy sample_entropy
  • Multiscale Entropy multiscale_entropy
  • Composite Multiscale Entropy composite_multiscale_entropy
  • Permutation Entropy permutation_entropy
  • Multiscale Permutation Entropy multiscale_permutation_entropy
  • Weighted Permutation Entropy weighted_permutation_entropy

Quick start

Install pyEntropy using pip:

pip install pyentrp

Install pyEntropy using poetry:

poetry add pyentrp

Usage

from pyentrp import entropy as ent
import numpy as np

ts = [1, 4, 5, 1, 7, 3, 1, 2, 5, 8, 9, 7, 3, 7, 9, 5, 4, 3]
std_ts = np.std(ts)
sample_entropy = ent.sample_entropy(ts, 4, 0.2 * std_ts)

Contributors and participation

pyEntropy is an open-source project, and contributions are highly encouraged. If you would like to contribute, you can:

The following contributors have made significant contributions to pyEntropy:

Contributions are very welcome, documentation improvements/corrections, bug reports, even feature requests :)

If you find pyEntropy useful, please consider giving it a star.

Your support is greatly appreciated!

Metadata

Release files for pyentrp 2.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyentrp 2.2.0
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Table of built distributions (wheels) for pyentrp 2.2.0
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pyentrp-2.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 21.1 kB

Release files / pyentrp-2.2.0.tar.gz

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