Pietro Berkes wrote:
> We wondered whether it would be possible to obtain SVN write access in
> orderto be able to fix this kind of issues by ourselves in the future.
> We could also contribute docstrings for some of the functions.
The best way to get SVN privileges in any open source project i
Webb Sprague wrote:
> Could someone recommend a way to average an array along the columns
> without propagating the nans and without turning them into some weird
> number which bias the result? I guess I can just keep using an
> indexing array for fooArray, but if there is somehting more graceful,
Dear all,
I often make use of numpy.vectorize to make programs read more like
the physics equations I write on paper. numpy.vectorize is basically
a wrapper for numpy.frompyfunc. Reading Travis's Scipy Book (mine is
dated Jan 6 2005) kind of suggests to me that it returns a full-
fledged
Could someone recommend a way to average an array along the columns
without propagating the nans and without turning them into some weird
number which bias the result? I guess I can just keep using an
indexing array for fooArray, but if there is somehting more graceful,
I would love to know.
Boy
Enthought
is pleased to announce the release of Python Enthought Edition Version
1.0.0.beta4 (http://code.enthought.com/enthon/)
-- a python distribution for Windows.
1.0.0.beta4 Release Notes:
There are two known issues:
* No documentation is included due to problems
On Jul 13, 2006, at 12:39 , Pietro Berkes wrote:
> On Thu, 13 Jul 2006, Nils Wagner wrote:
>
>> It seems to be line 281 instead of 269. I am using latest svn.
>> BTW, in linalg.py in
>>
>> def pinv:
>>
>> there is another Complex with capital C.
>
> Well, the problem is not really the capital 'C'
On Jul 13, 2006, at 09:11 , Pietro Berkes wrote:
> Dear numpys,
>
> a couple of weeks ago Tiziano and I completed the conversion of our
> data
> processing library MDP to numpy. We collected a few ideas and
> questions:
>
> - we found the convertcode.py module quite useful to perform a first,
>
On 7/13/06, Robert Kern <[EMAIL PROTECTED]> wrote:
> Webb Sprague wrote:
> > Does anyone have some vectorized code that pulls out all the row
>
> def is_row_nan(a):
> return numpy.isnan(a).any(axis=-1)
I knew there was a way, but I didn't know to check any() and all().
Thanks to all (I love f
Webb Sprague wrote:
> Does anyone have some vectorized code that pulls out all the row
> indices for any row which has an nan (or a number less than 1 or
> whatever). I want to subsequently be able to perform an operation
> with all the good rows. See the imaginary code below.
>
> a = numpy.arra
Does anyone have some vectorized code that pulls out all the row
indices for any row which has an nan (or a number less than 1 or
whatever). I want to subsequently be able to perform an operation
with all the good rows. See the imaginary code below.
a = numpy.array([[1,2],[nan,1], [2,3]])
is_row
>
> Would it be reasonable if argsort returned the complete tuple of
> indices, so that
> A[A.argsort(ax)] would work ?
+1
This is the behavior one would naturally expect.
Eric
-
Using Tomcat but need to do more? Need to
Sebastian Żurek wrote:
> Hi All,
>
> Has anyone worked with the RandomArray module? I wonder,
> if it's OK to use its pseudo-random numbers generators, or
> maybe I shall find more trusted methods (ie. ran1 from Numerical Recipes)?
At this point in time, I don't recommend using RandomArray if you
On Thu, 13 Jul 2006, Nils Wagner wrote:
> It seems to be line 281 instead of 269. I am using latest svn.
> BTW, in linalg.py in
>
> def pinv:
>
> there is another Complex with capital C.
Well, the problem is not really the capital 'C', but rather the lack of
quotation marks...
---
--- Begin Message ---
Pietro Berkes wrote:
Dear numpys,
a couple of weeks ago Tiziano and I completed the conversion of our data
processing library MDP to numpy. We collected a few ideas and
questions:
- we found the convertcode.py module quite useful to perform a first,
low-level conversio
Hi,
As Francesc meintioned, Robert Kern did a great job of replacing ranlib:
"numpy.random uses the Mersenne Twister. RANLIB is dead! Long live MT19937!"
So throw away ran1!
Regards
Bruce
On 7/12/06, Sebastian Żurek <[EMAIL PROTECTED]> wrote:
> Hi All,
>
> Has anyone worked with the RandomArray
Dear numpys,
a couple of weeks ago Tiziano and I completed the conversion of our data
processing library MDP to numpy. We collected a few ideas and
questions:
- we found the convertcode.py module quite useful to perform a first,
low-level conversion. We had some problem when 'typecode' was
us
There used to be a function generalized_inverse in the numpy.linalg
module (certainly in 0.9.2).
In numpy0.9.8 it seems to have been moved to the numpy.linalg.old
subpackage. Does that mean it's being dropped? Did it have to move? Now
i have to add code to my package to try both locations becau
Title: Olá
Olá!
Alguém que não tinha nada para fazer, numa de suas visitas ao
Humor Tadela não sei por que cargas d'água, lhe recomendou a
seguinte p
On 7/13/06, Travis Oliphant <[EMAIL PROTECTED]> wrote:
> Pau Gargallo wrote:
> > On 7/12/06, Victoria G. Laidler <[EMAIL PROTECTED]> wrote:
> >
> >> Hi,
> >>
> >> Pardon me if I'm reprising an earlier discussion, as I'm new to the list.
> >>
> >> But is there a reason that this obscure syntax
> >>
> Lapack_lite is in the numpy sources. I think it's the fallback if you
don't have a LAPACK.
Thanks Bill, that's what I thought, but I don't understand why it can't find
it.
> You can check the config that got built with:
> numpy.show_config()
OK, so it appears that NumPy is imported then, a
On 7/13/06, Adam Carter <[EMAIL PROTECTED]> wrote:
Hi all,Do I need lapack_lite aswell? Where can I get it? If I need this otherLAPACK, how can I ensure that my code uses the optimised version of LAPACKalready on this system I'm using?
Lapack_lite is in the numpy sources. I think it's the fallback
Hi all,
I'm new to this list so apologies if this is a solved problem, but I haven't
been able to find anything in the archives.
I've just installed Python 2.4.3 and Numpy-0.9.8 on AIX, and the
configure/make/install of Python and the install of Numpy _appeared_ to go
smoothly.
However, now when
On 7/11/06, Pau Gargallo <[EMAIL PROTECTED]> wrote:
> On 7/11/06, Travis Oliphant <[EMAIL PROTECTED]> wrote:
> > Pau Gargallo wrote:
> > > hi,
> > >
> > > looking at the upcasting table at
> > > http://www.scipy.org/Tentative_NumPy_Tutorial#head-4c1d53fe504adc97baf27b65513b4b97586a4fc5
> > > I saw
Pau Gargallo wrote:
> On 7/12/06, Victoria G. Laidler <[EMAIL PROTECTED]> wrote:
>
>> Hi,
>>
>> Pardon me if I'm reprising an earlier discussion, as I'm new to the list.
>>
>> But is there a reason that this obscure syntax
>>
>> A[arange(2)[:,newaxis],indexes]
>>
>> A[arange(A.shape[0])[:,newaxi
On 7/12/06, Victoria G. Laidler <[EMAIL PROTECTED]> wrote:
> Hi,
>
> Pardon me if I'm reprising an earlier discussion, as I'm new to the list.
>
> But is there a reason that this obscure syntax
>
> A[arange(2)[:,newaxis],indexes]
>
> A[arange(A.shape[0])[:,newaxis],indexes]
>
> is preferable to the
A Dijous 13 Juliol 2006 01:07, Sebastian Żurek va escriure:
> Hi All,
>
> Has anyone worked with the RandomArray module? I wonder,
> if it's OK to use its pseudo-random numbers generators, or
> maybe I shall find more trusted methods (ie. ran1 from Numerical Recipes)?
I'm not an expert, but my und
Hi All,
Has anyone worked with the RandomArray module? I wonder,
if it's OK to use its pseudo-random numbers generators, or
maybe I shall find more trusted methods (ie. ran1 from Numerical Recipes)?
Please, give some comments. Thanks.
Sebastian
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