-discussion@python.org
> To unsubscribe send an email to numpy-discussion-le...@python.org
> https://mail.python.org/mailman3/lists/numpy-discussion.python.org/
> Member address: renato.fab...@gmail.com
>
--
Renato Fabbri
--
___
s be posted in another list/forum?
Any thoughts?
R.
--
Renato Fabbri
--
___
NumPy-Discussion mailing list -- numpy-discussion@python.org
To unsubscribe send an email to numpy-discussion-le...@python.org
https://mail.python.org/mailman3/lists/numpy-discuss
s://mail.python.org/mailman3/lists/numpy-discussion.python.org/
> Member address: renato.fab...@gmail.com
>
--
Renato Fabbri
--
___
NumPy-Discussion mailing list -- numpy-discussion@python.org
To unsubscribe send an email to numpy-discussion-le...
,
a wiki etc etc there if anything comes up)
tx++
On Wed, Jan 31, 2018 at 9:20 PM, Robert Kern wrote:
> On Thu, Feb 1, 2018 at 7:38 AM, Renato Fabbri
> wrote:
> >
> > Dear Scipy-ers,
> >
> > If you think I should split the message so that
> > things get more
info is all gathered somewhere
I did not find.
PS. I apologize for the cross-post, this is a message
sent to numpy list but without any replies, so I found
fit to send the message to both lists.
Thanks in advance,
Best,
R.
-- Forwarded message --
From: Renato Fabbri
Date: Tue, Jan
on instances
using a wiki structure seems reasonable at the moment.
Maybe upload the generated html from Sphinx and from Vimwiki
to readthedocs...?
Best,
R.
--
Renato Fabbri
GNU/Linux User #479299
labmacambira.sourceforge.net
___
NumPy-Discussion mail
>>> myarray.astype(n.int)
returns the same values as
>>> n.floor(myarray).astype(n.int)
for positive values??
And the same as
>>> n.trunc(myarray)
for any value?
On Mon, Sep 25, 2017 at 5:36 PM, Mark Bakker wrote:
> > On 2017-09-25 10:59, Renato Fabbri
7 at 7:23 AM, Thomas Jollans wrote:
> On 2017-09-25 10:59, Renato Fabbri wrote:
> > """
> > In [3]: n.floor(n.linspace(0,5,7), dtype=n.int <http://n.int>)
> >
> ---
> > Type
loop matching the specified signature and casting
was found for ufunc floor
In [4]: n.__version__
Out[4]: '1.11.0'
"""
Is this the expected behavior?
I am doing:
>>> myints = n.array(n.floor(myarray), dtype=n.int)
to get the integers.
tx.
R.
--
Renato Fabbri
#x27;s try ourselves to relate the terms.
Would you agree that the "power function distribution" is a "power-law
distribution"
in which the domain is restricted to be [0,1]?
>
> On Thu, Aug 24, 2017 at 9:41 AM, Renato Fabbri
> wrote:
>
>> Thanks for the reply
1.11.0'
)
On Thu, Aug 24, 2017 at 11:07 AM, Pauli Virtanen 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 rece
discuss...@scipy.org?
--
Renato Fabbri
GNU/Linux User #479299
labmacambira.sourceforge.net
___
NumPy-Discussion mailing list
NumPy-Discussion@python.org
https://mail.python.org/mailman/listinfo/numpy-discussion
gt; currently do not feel capable of doing with added completion pressure.
> But I have collected some of related issues and discussions:
>
> https://github.com/numpy/numpy/issues/4600
> https://github.com/numpy/numpy/issues/3184
> http://numpy-discussion.10968.n7.nabble.com/using-loadtxt-
> to-load-a-text-file-in-to-a-num
13 matches
Mail list logo
