On Wed, 12 Dec 2007, "Travis E. Oliphant" apparently wrote:
> 2) The matrix object made a C-subclass (for speed).
This will probably be the last chance for such a change,
so I again hope that consideration will be given to *one*
change in the matrix object:
iteration over a matrix should return a
Pierre GM wrote:
> On Tuesday 11 December 2007 15:48:01 Tom Johnson wrote:
>
>> What is the status regarding 'maskedarray'? When will this become
>> part (replace ma) of the standard distribution? Also, what is the
>> recommended way to import sandbox modules so that code changes are
>> minimi
Hello,
I am converting my build scripts to use the Intel Compiler Suite, using
today's svn code, on RHEL 4.0.
Building numpy succeeds, but importing it fails:
ImportError:
/usr/local/lib/python2.5/site-packages/numpy/linalg/lapack_lite.so: undefined
symbol: dgesdd_
And sure enough:
[EMAI
On Dec 12, 2007 7:29 AM, Søren Dyrsting <[EMAIL PROTECTED]> wrote:
> Hi all
>
> I need to perform computations involving large arrays. A lot of rows and
> no more than e.g. 34 columns. My first choice is python/numpy because I'm
> already used to code in matlab.
>
> However I'm experiencing memory
Christian Meesters wrote:
> Hi,
>
> For compatibility reasons (work with Biopython) I would like to use to
> Numeric in some code of mine. (Of course, I could make a little detour
> converting into numpy.array, but first I wonder whether somebody might
> know a solution for the problem with Numeric
Hi Christiaan
On Wed, Dec 12, 2007 at 07:39:49PM +0100, Christian Meesters wrote:
> I need to flatten a simple 3x3 array and try to do that with resize.
> First time works, next time it doesn't. Here is an example:
>
> In [1]: from Numeric import *
>
> In [2]: a = array([[ 0.50622966, -0.5476438
On Dec 12, 2007 11:39 AM, Christian Meesters <[EMAIL PROTECTED]> wrote:
> Hi,
>
> For compatibility reasons (work with Biopython) I would like to use to
> Numeric in some code of mine. (Of course, I could make a little detour
> converting into numpy.array, but first I wonder whether somebody might
On Wed, Dec 12, 2007 at 03:29:57PM +0100, Søren Dyrsting wrote:
> I need to perform computations involving large arrays. A lot of rows and no
> more than e.g. 34 columns. My first choice is python/numpy because I'm already
> used to code in matlab.
>
> However I'm experiencing memory problems even
Hi,
For compatibility reasons (work with Biopython) I would like to use to
Numeric in some code of mine. (Of course, I could make a little detour
converting into numpy.array, but first I wonder whether somebody might
know a solution for the problem with Numeric.)
I need to flatten a simple 3x3 ar
Fernando Perez wrote:
>> I will put new binaries on the sourceforge site this weekend for both
>> NumPy 1.0.4 and SciPy 0.6.0. I should be able to find an old PIII
>> WinXP machine around somewhere, which I will devote to building the
>> official non-SSE2 releases from here on out.
>>
>
> Gre
> I will put new binaries on the sourceforge site this weekend for both
> NumPy 1.0.4 and SciPy 0.6.0. I should be able to find an old PIII
> WinXP machine around somewhere, which I will devote to building the
> official non-SSE2 releases from here on out.
Great, many thanks!
Keep in mind that a
Hi all
I need to perform computations involving large arrays. A lot of rows and no
more than e.g. 34 columns. My first choice is python/numpy because I'm
already used to code in matlab.
However I'm experiencing memory problems even though there is still 500 MB
available (2 GB total). I have cooke
On Dec 11, 2007 5:58 PM, Fernando Perez <[EMAIL PROTECTED]> wrote:
> On Dec 11, 2007 6:45 PM, Ryan Krauss <[EMAIL PROTECTED]> wrote:
> > Near as I can tell, this is still unresolved for people with non-sse2
> > machines. Is that right?
>
> Yup. Your more detailed testing seems to confirm the hunc
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