Fitting a power-law with powerlaw.py in Python 3

Question

I am trying to fit power law with powerlaw.py:

data = [1.7, 3.2, 4.3, 2.1, 0.9, 3.3, 1.2, 4.3]
fit = powerlaw.Fit(data)

I'm getting the warning:

IndexError: 0-d arrays can only use a single () or a list of newaxes
(and a single ...) as an index

I've tested also data which were used in these code examples and I have always the same problem.

Why this happens?

RM- · Accepted Answer · 2014-08-17 21:21:38Z

0

I just ran code:

In [1]: import powerlaw

In [2]: data = [1.7, 3.2, 4.3, 2.1, 0.9, 3.3, 1.2, 4.3]

In [3]: fit = powerlaw.Fit(data) Calculating best minimal value for power law fit /usr/lib/python2.7/site-packages/powerlaw-1.3-py2.7.egg/powerlaw.py:686: RuntimeWarning: invalid value encountered in divide (Theoretical_CDF * (1 - Theoretical_CDF))

In [4]: fit.sigma Out[4]: 0.37880479849893711

might want to check for a bug elsewhere... if not might be a version error

answered Aug 17, 2014 at 21:21

RM-

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1 Comment

sdgaw erzswer Over a year ago

Do you by any chance know how to get the C - scaling factor?

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