Michael McNeil Forbes wrote:
> Could someone please explain the semantics of the following.
>
>
from numpy import *
a1 = array([1,2,3])
a2 = array([[1,2,3]])
a1[where(a1==3)],a2[where(a2==3)]
> (array([3]), 3)
>
> Why are 1-dimensional fundamentally different th
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Could someone please explain the semantics of the following.
>>> from numpy import *
>>> a1 = array([1,2,3])
>>> a2 = array([[1,2,3]])
>>> a1[where(a1==3)],a2[where(a2==3)]
(array([3]), 3)
Why are 1-dimensional fundamentally different than N-dimensional arrays
in this regard? When there is a si
Andrew Straw wrote:
> David Cournapeau wrote:
>
>> I don't know anything about your device, but a driver directly accessing
>> a memory buffer from a userland program sounds like a bug to me.
>>
> David, DMA memory (yes, I know thats an example of RAS Syndrome,
> apologies) allows hardwar
2006/10/24, Vincent Schut <[EMAIL PROTECTED]>:
It is clear to me that the numpy += operator in combination with the useof arrays of indexes, as is explained in the Tentative Numpy Tutorial(
http://www.scipy.org/Tentative_NumPy_Tutorial#head-3f4d28139e045a442f78c5218c379af64c2c8c9e),the limitation b
Xavier,Here is the patch against svn. Please report any bug. I haven't had the time to test it extensively, something that should be done before commiting the patch to the repo. I'd appreciate your feedback. David
2006/10/24, David Huard <[EMAIL PROTECTED]>:
Hi Xavier,You could tweak histogram2d to
On Tue, 24 Oct 2006 11:16:19 -0700
"Keith Goodman" <[EMAIL PROTECTED]> wrote:
> Is there any guarantee on the order of eigenvalues (and
>eigenvectors)
> returned by numpy.linalg.eigh?
>
> If I want to make sure the eigenvalues are in ascending
>order of
> magnitude should I sort them myself?
>
Is there any guarantee on the order of eigenvalues (and eigenvectors)
returned by numpy.linalg.eigh?
If I want to make sure the eigenvalues are in ascending order of
magnitude should I sort them myself?
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On Tuesday 24 October 2006 02:50, Michael Sorich wrote:
> I am currently running numpy rc2 (I haven't tried your
> reimplementation yet as I am still using python 2.3). I am wondering
> whether the new maskedarray is able to handle construction of arrays
> from masked scalar values (not sure if thi
On Tue, 24, Oct, 2006 at 10:31:30AM -0600, Travis Oliphant spoke thus..
> The basic problem is that the longfloat type is not very
> cross-platform. The functionality depends on your C-compiler /
> platform when a long double is specified as the type. I suspect it
> doesn't work well with al
Title: SuperNet
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Según nuestros registros informáticos, hemos
detectado recientemen
On Tue, 24, Oct, 2006 at 10:31:30AM -0600, Travis Oliphant spoke thus..
> The basic problem is that the longfloat type is not very
> cross-platform. The functionality depends on your C-compiler /
> platform when a long double is specified as the type. I suspect it
> doesn't work well with al
David Cournapeau wrote:
> I don't know anything about your device, but a driver directly accessing
> a memory buffer from a userland program sounds like a bug to me.
David, DMA memory (yes, I know thats an example of RAS Syndrome,
apologies) allows hardware to fill a chunk of RAM and then hand it
Hi Xavier,You could tweak histogram2d to do what you want, or you could give me a couple of days and I'll do it and let you know. If you want to help, you could write a test using your particular application and data.
David 2006/10/24, Xavier Gnata <[EMAIL PROTECTED]>:
Hi,I have a set of 3 1D larg
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Hi,
I have a set of 3 1D large arrays.
The first 2 one stand for the coordinates of particules and the last one
for their masses.
I would like to be able to plot this data ie to compute a 2D histogram
summing the masses in each bin.
I cannot find a way to do that without any loop on the indices
Mark Hymers wrote:
> On Thu, 19, Oct, 2006 at 08:29:26AM -0600, Travis Oliphant spoke thus..
>
>> Actually, you shouldn't be getting an INF at all.This is what the
>> test is designed to test for (so I guess it's working). The test was
>> actually written wrong and was never failing becau
It is clear to me that the numpy += operator in combination with the use
of arrays of indexes, as is explained in the Tentative Numpy Tutorial
(http://www.scipy.org/Tentative_NumPy_Tutorial#head-3f4d28139e045a442f78c5218c379af64c2c8c9e),
the limitation being that indexes that appear more than 1
>
> Am 20.10.2006 um 02:53 schrieb Jay Parlar:
>
>>> Hi!
>>> I try to compile numpy rc3 on Panther and get following errors.
>>> (I start build with "python2.3 setup.py build" to be sure to use the
>>> python shipped with OS X. I din't manage to compile Python2.5 either
>>> yet with similar errors)
On 10/24/06, Tobias Bengtsson <[EMAIL PROTECTED]> wrote:
HiI wish to do some Linear Predictive Coding, using durbin-levinson,covariance, autocorrelation or lattice method algoritms.However I don't know anything on digital signal processing, neither am Ia star at math.
I've ported http://www.phon.uc
On 10/24/06, Mark Hymers <[EMAIL PROTECTED]> wrote:
On Mon, 23, Oct, 2006 at 11:50:27AM +0100, Mark Hymers spoke thus..> Hi,>> I've just done a Mac OS X PPC build of the SVN trunk and am getting this> failure too.> FAIL: Ticket #112
I've just been looking into this a bit further (though I may be he
Hi
I wish to do some Linear Predictive Coding, using durbin-levinson,
covariance, autocorrelation or lattice method algoritms.
However I don't know anything on digital signal processing, neither am I
a star at math.
I've ported http://www.phon.ucl.ac.uk/courses/spsci/dsp/lpc.html to
python,
On Mon, 23, Oct, 2006 at 11:50:27AM +0100, Mark Hymers spoke thus..
> Hi,
>
> I've just done a Mac OS X PPC build of the SVN trunk and am getting this
> failure too.
> FAIL: Ticket #112
I've just been looking into this a bit further (though I may be heading
down the wrong road) and come across
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