On 02.09.2011, at 11:45PM, Christopher Jordan-Squire wrote:
and unfortunately it's for 1D-arrays only).
That's not bad for this use -- make a row a struct dtype, and you've got
a 1-d array anyway -- you can optionally convert to a 2-d array after
the fact.
I don't know why I didn't
On Tue, Sep 6, 2011 at 9:32 AM, Derek Homeier
de...@astro.physik.uni-goettingen.de wrote:
On 02.09.2011, at 11:45PM, Christopher Jordan-Squire wrote:
and unfortunately it's for 1D-arrays only).
That's not bad for this use -- make a row a struct dtype, and you've got
a 1-d array anyway -- you
On 02.09.2011, at 1:47AM, Russell E. Owen wrote:
I've made a pull request
https://github.com/numpy/numpy/pull/144
implementing that option as a switch 'prescan'; could you review it in
particular regarding the following:
Is the option reasonably named and documented?
In the case the
Hi all,
I've been implementing the algorithm from this paper Reducing
Aliasing Artifacts in Iso-Surfaces of Binary Volumes from Ross T.
Whitaker. Because I develop a opensource software which works with
segmentation of CT and MRI medical images, and the results of
segmentation is a binary volume
I posted on stackoverflow but then noticed this message board:
http://stackoverflow.com/questions/7311869/python-numpy-on-solaris-blas-slow-or-not-linked
I'm reposting the full post below:
Matrix-Matrix multiplies are very slow on my Solaris install (running
on a sparc server) compared to my
On Tue, Sep 6, 2011 at 2:38 PM, David Cottrell david.cottr...@gmail.com wrote:
I posted on stackoverflow but then noticed this message board:
http://stackoverflow.com/questions/7311869/python-numpy-on-solaris-blas-slow-or-not-linked
I'm reposting the full post below:
Matrix-Matrix
On Tue, Sep 6, 2011 at 5:12 PM, David Cottrell david.cottr...@gmail.com wrote:
Actually this link: http://www.scipy.org/PerformanceTips seems to
indicate that numpy.dot does use blas ...
This not true (you can check by looking into numpy/core/setup.py,
which explicitly checks for ATLAS for
