Hi (David)!
I am evaluating numpy.distutils as a build/install system for my project
- is it possible to build the extension modules in-place so that the
project can be used without installing it? A pointer to documentation
concerning this would be handy... Currently I use a regular Makefile f
[crossposted to numpy-discussion and mlabwrap-user]
Hi,
Please find attached Python code for the opposite direction - ie
format Python arrays for copy and pasting into an interactive Matlab
session.
It doesn't look as nice because newlines are row seperators in matlab
so I put everything on one
On Wed, May 13, 2009 at 12:39 PM, Robin wrote:
> [crossposted to numpy-discussion and mlabwrap-user]
>
> Hi,
>
> Please find attached Python code for the opposite direction - ie
> format Python arrays for copy and pasting into an interactive Matlab
> session.
>
> It doesn't look as nice because ne
Hi,
[You may want to edit the numpy homepage numpy.scipy.org to tell
people they must subscribe to post, and adding a link to
http://www.scipy.org/Mailing_Lists]
Many of you probably know of the interpreter yorick by Dave Munro. As
a Livermoron, I use it all the time. There are some built-in
All,
I just committed (r6994) some modifications to numpy.ma.getdata (Eric
Firing's patch) and to the ufunc wrappers that were too slow with
large arrays. We're roughly 3 times faster than we used to, but still
slower than the equivalent classic ufuncs (no surprise here).
Here's the catch: i
Hi Pierre
2009/5/14 Pierre GM :
> This playing around with the error status may (or may not, I don't
> know) cause some problems down the road.
I see the buildbot is complaining on SPARC. Not sure if it is
complaining about your commit, but might be worth checking out
nontheless.
Cheers
Stéfan
On 11-May-09, at 10:55 AM, Pauli Virtanen wrote:
> Wonder why buildbot's 64-bit SPARC boxes don't see this if it's
> something
> connected to 64-bitness...
Different endianness, maybe? That seems even weirder, honestly.
David
___
Numpy-discussion mai
Hi Pierre,
> Here's the catch: it's basically cheating. I got rid of the pre-
> processing (where a mask was calculated depending on the domain and
> the input set to a filling value depending on this mask, before the
> actual computation). Instead, I force
> np.seterr(divide='ignore',inva
On May 13, 2009, at 7:36 PM, Matt Knox wrote:
>
>> Here's the catch: it's basically cheating. I got rid of the pre-
>> processing (where a mask was calculated depending on the domain and
>> the input set to a filling value depending on this mask, before the
>> actual computation). Instead, I forc
Hi,
> Whine. I was afraid of something like that...
> 2 options, then:
> * We revert to computing a mask beforehand. That looks like the part
> that takes the most time w/ domained operations (according to Robert
> K's profiler. Robert, you deserve a statue for this tool). And that
> doesn't solve
On Wed, May 13, 2009 at 18:36, Matt Knox wrote:
> Hi Pierre,
>
>> Here's the catch: it's basically cheating. I got rid of the pre-
>> processing (where a mask was calculated depending on the domain and
>> the input set to a filling value depending on this mask, before the
>> actual computation). I
> Robert Kern gmail.com> writes:
>
> seterr() uses thread-local storage.
Oh. I stand corrected. Ignore my earlier objections then.
> Pierre GM gmail.com> writes:
>
> Also, importing numpy.ma currently calls numpy.seterr(all='ignore')
> anyway...
hmm. While this doesn't affect me personally..
On May 13, 2009, at 8:07 PM, Matt Knox wrote:
>
> hmm. While this doesn't affect me personally... I wonder if everyone
> is aware of
> this. Importing modules generally shouldn't have side effects either
> I would
> think. Has this always been the case for the masked array module?
Well, can't
On Wed, May 13, 2009 at 5:18 PM, David Warde-Farley wrote:
> On 11-May-09, at 10:55 AM, Pauli Virtanen wrote:
>
> > Wonder why buildbot's 64-bit SPARC boxes don't see this if it's
> > something
> > connected to 64-bitness...
>
> Different endianness, maybe? That seems even weirder, honestly.
>
I
Robert Cimrman wrote:
> Hi (David)!
>
> I am evaluating numpy.distutils as a build/install system for my project
> - is it possible to build the extension modules in-place so that the
> project can be used without installing it? A pointer to documentation
> concerning this would be handy... Cur
I'm using the latest version of Sage (3.4.2) which is python 2.5 and numpy
something or other (I will do more digging presently)
I'm able to map large files and access all the elements unless I'm using
slices
so, for example:
fp = np.memmap("/mnt/hdd/data/mmap/numpy1e10.mmap", dtype='float64',
m
David Cournapeau wrote:
> Robert Cimrman wrote:
>> Hi (David)!
>>
>> I am evaluating numpy.distutils as a build/install system for my project
>> - is it possible to build the extension modules in-place so that the
>> project can be used without installing it? A pointer to documentation
>> conce
On Wed, May 13, 2009 at 10:50 PM, Glenn Tarbox, PhD wrote:
> I'm using the latest version of Sage (3.4.2) which is python 2.5 and numpy
> something or other (I will do more digging presently)
>
> I'm able to map large files and access all the elements unless I'm using
> slices
>
> so, for example:
On Wed, May 13, 2009 at 11:04 PM, Charles R Harris <
charlesr.har...@gmail.com> wrote:
>
>
> On Wed, May 13, 2009 at 10:50 PM, Glenn Tarbox, PhD wrote:
>
>> I'm using the latest version of Sage (3.4.2) which is python 2.5 and numpy
>> something or other (I will do more digging presently)
>>
>> I'm
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