nolds 0.6.0

Example

import nolds
import numpy as np

rwalk = np.cumsum(np.random.random(1000))
h = nolds.dfa(rwalk)

Requirements

Nolds supports Python 2 (>= 2.7) and 3 (>= 3.4) from one code source. It requires the package numpy.

These are the only hard requirements, but some functions will need other packages:

• If you want to use the RANSAC algorithm for line fitting, you will also need the package sklearn.

• For the true random numbers generated by nolds.qrandom you need the package quantumrandom.

• The plotting functions in nolds.examples require the package matplotlib.

Installation

Nolds is available through PyPI and can be installed using pip:

pip install nolds

You can test your installation by running some sample code with:

python -m nolds.examples lyapunov-logistic

Alternatively, if you do not have matplotlib installed, you can run the unittests with:

python -m unittest nolds.test_measures

Documentation

Nolds is designed as a learning resource for the measures mentioned above. Therefore the corresponding functions feature extensive documentation that not only explains the interface but also the algorithm used and points the user to additional reference code and papers. The documentation can be found in the code, but it is also available as HTML-Version and on Read the Docs.

The relevant measures can be found in the file nolds/measures.py.

How to cite nolds

I am planning to publish nolds in a peer-reviewed journal, but as this is a side project of my PhD thesis this may take a while. For the time being you can use the following Zenodo reference:

Schölzel, Christopher. (2019, June 16). Nonlinear measures for dynamical systems (Version 0.5.2). Zenodo. http://doi.org/10.5281/zenodo.3814723

You can also export a BibTeX reference from Zenodo.

Contact information

If you have any questions, suggestions or corrections, you can find my contact information in my GitHub profile or on my blog.

Please note that this is one of my side projects. Depending on my current workload it may take days, weeks or even months until I can find the time to check on mails and issues for nolds.