⚠️⚠️ At the moment, fathon is only available for Linux (64 bit) and macOS ⚠️⚠️

fathon is a python package for DFA (Detrended Fluctuation Analysis) and related algorithms.

It is mostly written in Cython and C in order to speed up computations.

fathon provides four main algorithms, namely

• DFA (Detrended Fluctuation Analysis)
• MFDFA (Multifractal Detrended Fluctuation Analysis)
• DCCA (Detrended Cross-Correlation Analysis)
• HT (Time-dependent Hurst exponent)

MFDFA also provides methods for the mass exponent τ and the multifractal spectrum f(α).

DCCA has methods for computing the cross-correlation coefficient ρ_DCCA and the corresponding confidence intervals.

• Python 3.5 or higher

• numpy (version >= 1.15)

• Cython

As easy as pip install fathon

A jupyter notebook can be used (fathon_example.ipynb) to play with the four algorithms provided by the fathon package.

If you cannot use the notebook, four Python scripts are provided, dfa.py, mfdfa.py, dcca.py, and ht.py.

Algorithms are implemented on two time series of gaussian white noise, but you can replace them with any time series you like.

API documentation

To report bugs or improvements, or for any other question, please see CONTRIBUTING.md.

If you are using fathon in your research, please cite:

Bianchi, S., (2020). fathon: A Python package for a fast computation of detrendend fluctuation analysis and related algorithms. Journal of Open Source Software, 5(45), 1828, https://doi.org/10.21105/joss.01828

fathon v1.1

• save object state to binary file and reload it later

• wheels! 🎡🎡
• no more pre-installing step of the GSL library 🎉🎉
• window's sizes array must be now passed to all the methods
• logBase option for methods that perform fits
• verbose option
• pre-computed hq0 can be now passed to the computeHT method

• first release

• Stefano Bianchi
  • github - stfbnc

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

This code uses GSL which is licensed under the GNU General Public License v3.0, and can be obtained at https://www.gnu.org/software/gsl/.