[Numpy-discussion] Help using numPy to create a very large multi dimensional array

[Markus Rosenstihl]

Whats wrong with scipy.io.read_array?

Am 19.04.2007 um 15:50 schrieb Lisandro Dalcin:

> On 4/19/07, Travis Oliphant <oliphant.travis at ieee.org> wrote:
>> Nick Fotopoulos wrote:
>>> Devs, is there any possibility of moving/copying pylab.load to numpy?
>>> I don't see anything in the source that requires the rest of
>>> matplotlib.  Among convenience functions, I think that this function
>>> ranks pretty highly in convenience.
>>>
>>
>> I'm supportive of this.  But, it can't be named numpy.load.
>>
>
> I am also +1 on this, but this functionality should be implemented in
> C, I think. I've just tested numpy.fromfile('name.txt', sep=' ')
> against pylab.load('name.txt') for a 35MB text file, the number are:
>
> numpy.fromfile: 2.66 sec.
> pylab.load:  16.64 sec.
>
>
> -- 
> Lisandro Dalcín
> ---------------
> Centro Internacional de Métodos Computacionales en Ingeniería (CIMEC)
> Instituto de Desarrollo Tecnológico para la Industria Química (INTEC)
> Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)
> PTLC - Güemes 3450, (3000) Santa Fe, Argentina
> Tel/Fax: +54-(0)342-451.1594
> _______________________________________________
> Numpy-discussion mailing list
> Numpy-discussion at scipy.org
> http://projects.scipy.org/mailman/listinfo/numpy-discussion
-------------- next part --------------
A non-text attachment was scrubbed...
Name: PGP.sig
Type: application/pgp-signature
Size: 186 bytes
Desc: Signierter Teil der Nachricht
URL: <http://mail.python.org/pipermail/numpy-discussion/attachments/20070422/41240709/attachment.sig>