Trustability of results under warning messages

[Daniele Notarmuzi]

Hi,

I am using the package to fit some data "from real world" (i.e. not produced by a simulation of some process).

I often receive error messages such as 

- RuntimeWarning: divide by zero encountered in true_divide (Theoretical_CDF * (1 - Theoretical_CDF)

- RuntimeWarning: invalid value encountered in true_divide (Theoretical_CDF * (1 - Theoretical_CDF)

and other similar messages. However they are not errors and the script gives me results. The question is: can I trust those results? 

Much less important: I am comparing my real data with synthetic data to compute a p value informing me about the goodness of fit. This requires to call a lot of time the command Fit(data, **options) and every call print on the terminal "Calculating best minimal value for powerlaw fit". I was wondering if there is some option to prevent this behaviour (I tried sys.stdout = open(os.devnull, 'w') but apparently does not work. ) Any idea?

Thank you in advance.

Best,

DN.

[Jeff Alstott]

"Can I trust those results?"

Yes. https://github.com/jeffalstott/powerlaw/issues/25

"I was wondering if there is some option to prevent this behaviour (I tried sys.stdout = open(os.devnull, 'w') but apparently does not work. ) Any idea?"

Fit(data, verbose=False)

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