frappy
frappy (fractal and phase space analysis for python) is a Python package implementing a non subjective algorithm for calculating correlation dimensions from data.
This package currently contains functions for:
- Converting a time series into a uniform deviate through a rank transformation
- Embedding time series into a d-dimensional vector space
- Calculate correlation dimension at different embedding dimensions
- Calculate saturated correlation dimension and minimum embedding dimension using curve fitting
Acknowledgements
This work is an python implementation of the algorithm described in Harikrishnan, K. P., Misra, R., Ambika, G., & Kembhavi, A. K. (2006). A non-subjective approach to the GP algorithm for analysing noisy time series. Physica D: Nonlinear Phenomena, 215(2), 137-145.
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Release files for frappy 0.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| frappy-0.0.2-3.tar.gz | 17.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| frappy-0.0.2-3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.9 kB
Release files / frappy-0.0.2-3.tar.gz
| Download URL | frappy-0.0.2-3.tar.gz |
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| Size | 17.8 kB |
| Tags | Source |
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Release files / frappy-0.0.2-3-py3-none-any.whl
| Download URL | frappy-0.0.2-3-py3-none-any.whl |
|---|---|
| Size | 18.2 kB |
| Tags | Python 3 |
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