Jan Strube wrote:
> I would also like to see a method that doesn't have the unique members
> requirement.
> If setmember1d cannot be modified to do that, is there another method
> that doesn't have these restrictions. Or could one be added?
If you can write one that's reasonably efficient, yes.
-
I would also like to see a method that doesn't have the unique members
requirement.
If setmember1d cannot be modified to do that, is there another method
that doesn't have these restrictions. Or could one be added?
Thanks,
Jan
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On Monday 22 January 2007 11:18, Francesc Altet wrote:
> You should first inform to Pyrex about the definition of ndarray. For
> this, it's only necessary to declare this in a file (say
> definitions.pxd):
> from now on, Pyrex knows about the ndarray object and you should be able
> to derive a cla
Just a note that I've copied over the 1.0.1 release notes from SourceForge:
http://sourceforge.net/project/shownotes.php?group_id=1369&release_id=468153
over to the wiki:
http://scipy.org/ReleaseNotes/NumPy_1.0
Should 1.0.1 get its own page, as previous 0.9.x releases did?
Martin
_
Per B. Sederberg wrote:
> So the next question is what changed to fix that bug? It looks like the only
> difference in the code is that the call to argsort now has (kind='mergesort').
Possibly the default sort code had a bug that was fixed, too, or something deep
in the array object. I've rerun
Robert Kern gmail.com> writes:
>
> Per B. Sederberg wrote:
> > Does anyone have any idea of what might be occurring in setmember1d in
> > combination with this setup that would cause such a massive memory leak?
>
> Can you check out numpy from SVN and see if you can reproduce the leak?
> I do
Per B. Sederberg wrote:
> Does anyone have any idea of what might be occurring in setmember1d in
> combination with this setup that would cause such a massive memory leak?
Can you check out numpy from SVN and see if you can reproduce the leak? I do not
see a leak with a recent checkout on OS X wit
Hi Everybody:
I was having a massive memory leak problem in some simulations I coded that I
traced down to the setmember1d method. After running for about an hour, my
program, which should have been taking up .6% of the RAM was taking up 100% of
my 4GB of RAM and would eventually get killed by th
What is the simplest way to make the sum of the positive elements in a
Nx1 matrix equal 1?
I end up converting the matrix to an array, doing the normalization,
then converting the array back to a matrix.
>> m = M.randn(10,1)
>> m[m > 0,:] = m[m > 0,:] / m[m > 0,:].sum()
--
El dl 22 de 01 del 2007 a les 10:07 -0500, en/na Pierre GM va escriure:
> Dear All,
> I started playing with Pyrex this week-end, to see how easy it would be to
> port some subclasses to C. A good thing is that it's not as bad as I was
> dreading. I do have a lot of question, however:
>
> - Can
Dear All,
I started playing with Pyrex this week-end, to see how easy it would be to
port some subclasses to C. A good thing is that it's not as bad as I was
dreading. I do have a lot of question, however:
- Can I create a subclass w/ Pyrex ? If yes, how ? I haven't been able to find
any exampl
I have a question regarding f2py:
Can it map NumPy arrays to Fortran 95 'dope vectors'?
I can find many examples on interfacing Fortran 77 with NumPy, but not
Fortran 95. This is of course very different as Fortran 77 are always
contiguous, whereas Fortran 95 arrays are not. Thus a Fortran 95 c
Has anyone done any benchmarks to compare Numpy's speed with these two
compilers on a Core 2 Duo?
Thanks,
-rex
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