The latest version of numpy is 1.13.

In this case, as described in the docs, a power function distribution is
one with a probability desnity function of the form ax^(a-1) for x between
0 and 1.

On Thu, Aug 24, 2017 at 9:41 AM, Renato Fabbri <renato.fab...@gmail.com>
wrote:

> Thanks for the reply.
>
> But the question remains:
> how are the terms "power function distribution"
> and "power-law distribution" related?
>
> The documentation link you sent have no information on this.
> (
> And seems the same as I get here
> In [6]: n.version.full_version
> Out[6]: '1.11.0'
> )
>
> On Thu, Aug 24, 2017 at 11:07 AM, Pauli Virtanen <p...@iki.fi> wrote:
>
>> to, 2017-08-24 kello 10:53 -0300, Renato Fabbri kirjoitti:
>> > numpy.random.power.__doc__
>> >
>> > uses only the term "power function distribution".
>>
>> The documentation in the most recent Numpy version seems to be more
>> explicit, see the Notes section for the PDF:
>>
>> https://docs.scipy.org/doc/numpy/reference/generated/numpy.random.power
>> .html
>> <https://docs.scipy.org/doc/numpy/reference/generated/numpy.random.power.html>
>>
>> > BTW.  how is this list related to numpy-discuss...@scipy.org?
>>
>> That's the old address of this list.
>> The current address is numpy-discussion@python.org and it should be
>> used instead.
>>
>> --
>> Pauli Virtanen
>> _______________________________________________
>> NumPy-Discussion mailing list
>> NumPy-Discussion@python.org
>> https://mail.python.org/mailman/listinfo/numpy-discussion
>>
>
>
>
> --
> Renato Fabbri
> GNU/Linux User #479299
> labmacambira.sourceforge.net
>
> _______________________________________________
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>
>
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