powerlaw is a toolbox using the statistical methods developed in Clauset et al. 2007 and Klaus et al. 2011 to determine if a probability distribution fits a power law. This package is in “open beta”, which means everything pretty much works but it’s being tweaked and expanded on. Academics, please cite as:

Jeff Alstott. (2012). powerlaw Python package. Web address: pypi.python.org/pypi/powerlaw.

Quick Links

Installation

Getting Started

Update Notifications, Mailing List, and Contacts

Note! This code works on Python 2.x, not 3.x. This code was developed and tested with the `Enthought Python Distribution , and will update to 3.x whenever Enthought updates to 3.x. The full version of Enthought is available for free for academic use.

Acknowledgements

Many thanks to Mika Rubinov and Shan Yu for helpful discussions and to Adam Ginsburg for posting his code, which inspired the xmin-selection function of this toolbox.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.0.0)

3 maintainers

PyPI data
Data sourced directly from PyPI's database.
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Credits

Author: Jeff Alstott

License

MIT License (MIT)

Classifiers

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2.0.0

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1.5

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1.4.6

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1.0

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This release

0.4.1 This release

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.1

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