These corrections have been committed.
Thanks.
On Dec 1, 2007, at 9:21 AM, Georg Holzmann wrote:
>> * A new ARGOUTVIEW suite of typemaps is provided that allows your
>> wrapped function
>>to provide a pointer to internal data and that returns a numpy
>> array encapsulating
>>it.
>
> Than
On Freitag 30 November 2007, Joe Harrington wrote:
> I was misinformed about the status of numdisplay's pages. The package
> is available as both part of stsci_python and independently, and its
> (up-to-date) home page is here:
>
> http://stsdas.stsci.edu/numdisplay/
I had a look at ds9/numdispla
On Samstag 01 Dezember 2007, Martin Spacek wrote:
> Kurt Smith wrote:
> > You might try numpy.memmap -- others have had success with it for
> > large files (32 bit should be able to handle a 1.3 GB file, AFAIK).
>
> Yeah, I looked into numpy.memmap. Two issues with that. I need to
> eliminate as
Hallo!
> * A new ARGOUTVIEW suite of typemaps is provided that allows your
> wrapped function
>to provide a pointer to internal data and that returns a numpy
> array encapsulating
>it.
Thanks for integrating it !
> * New typemaps are provided that correctly handle FORTRAN ordered 2D
Ivan Vilata i Balaguer (el 2007-11-30 a les 19:19:38 +0100) va dir::
> Well, one thing you could do is dump your data into a PyTables_
> ``CArray`` dataset, which you may afterwards access as if its was a
> NumPy array to get slices which are actually NumPy arrays. PyTables
> datasets have no pro
On Dec 1, 2007 12:09 AM, Martin Spacek <[EMAIL PROTECTED]> wrote:
> Kurt Smith wrote:
> > You might try numpy.memmap -- others have had success with it for
> > large files (32 bit should be able to handle a 1.3 GB file, AFAIK).
>
> Yeah, I looked into numpy.memmap. Two issues with that. I need to
Martin Spacek wrote:
> Kurt Smith wrote:
> > You might try numpy.memmap -- others have had success with it for
> > large files (32 bit should be able to handle a 1.3 GB file, AFAIK).
>
> Yeah, I looked into numpy.memmap. Two issues with that. I need to
> eliminate as much disk access as possible
