Execution time

[Alex]

Can anyone share experience about the execution time for this typical case:

import powerlaw
data = array([1.7, 3.2 ...]) # data can be list or numpy array
results = powerlaw.Fit(data)
print results.power_law.alpha
print results.power_law.xmin
R, p = results.distribution_compare('power_law', 'lognormal')

I have a 500k array and its been running for 3 hours. Can anyone tell me your execution time? For example, like 10k data, x minutes? 

Thank you.

[Jeff Alstott]

Hi Alex,

Have you tried taking samples of your data and seeing how the runtime scales as you increase the sample size?

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