Powerlaw python get the scaling constant

Asked Sep 29 '17 at 12:16

Active Sep 29 '17 at 12:47

Viewed 348 times

I've been recently trying to fit a power law distribution to my data using the Powerlaw package (https://pypi.python.org/pypi/powerlaw). My goal is to obtain equation in form f(x) = Cx^{-alpha}.

Following the instructions:

fit = powerlaw.Fit(data, xmin = 230.0, discrete = True)

fit.power_law.alpha

In fact return the alpha coefficient, but what about the C, a normalization constant? Is there a way to compute it directly?

Is it possible, that C = sum (data)?

Thank you very much.

edited Sep 29 '17 at 12:47

asked Sep 29 '17 at 12:16

sdgaw erzswer

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The constant could be anything as the power law gives you a distribution which is proportional. – Peter Wood Sep 29 '17 at 12:33
I don't think I understand. In articles, there is always a constant, where would they have gotten it from? – sdgaw erzswer Sep 29 '17 at 12:35

Powerlaw python get the scaling constant

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