On Mon, Jun 4, 2012 at 11:49 PM, Nathaniel Smith n...@pobox.com wrote:
On Mon, Jun 4, 2012 at 10:00 PM, Thouis (Ray) Jones tho...@gmail.com wrote:
On Mon, Jun 4, 2012 at 4:27 PM, Thouis (Ray) Jones tho...@gmail.com wrote:
I could look into this. There are only ~10 places the code generates
On Tue, Jun 5, 2012 at 12:15 PM, Thouis Jones thouis.jo...@curie.fr wrote:
On Mon, Jun 4, 2012 at 11:49 PM, Nathaniel Smith n...@pobox.com wrote:
On Mon, Jun 4, 2012 at 10:00 PM, Thouis (Ray) Jones tho...@gmail.com wrote:
On Mon, Jun 4, 2012 at 4:27 PM, Thouis (Ray) Jones tho...@gmail.com wrote
On Fri, May 25, 2012 at 1:52 PM, Nathaniel Smith n...@pobox.com wrote:
On Fri, May 25, 2012 at 12:46 PM, Thouis (Ray) Jones tho...@gmail.com wrote:
I'm seeing some strange behavior from .max() on a reshaped array in
the current master, and wanted to raise it here to make sure it's not
On Fri, May 25, 2012 at 2:07 PM, Thouis Jones thouis.jo...@curie.fr wrote:
I don't seem to be able to reproduce with just a.max(0) or
np.array(a.max(0), np.float), but since it seems to be very unstable
to other changes in the code, I'll keep trying to find out if I can
make those simpler
I recently had need of tracing numpy data allocation/deallocation. I
was unable to find a simple way to do so, and so ended up putting the
code below into ndarraytypes.h to allow me to trace allocations. A
key part is that this jumps back into python, so I can inspect the
stack and find out
On Fri, Dec 2, 2011 at 18:53, Charles R Harris
charlesr.har...@gmail.com wrote:
After sleeping on this, I think an object array in this situation would be
the better choice and wouldn't result in lost information. This might change
the behavior of
some functions though, so would need testing.
On Thu, Dec 1, 2011 at 15:47, Pierre Haessig pierre.haes...@crans.org wrote:
Le 01/12/2011 14:52, Thouis (Ray) Jones a écrit :
Is this expected behavior?
np.array([-345,4,2,'ABC'])
array(['-34', '4', '2', 'ABC'], dtype='|S3')
With my numpy 1.5.1, I got indeed a different result:
In [1]:
On Thu, Dec 1, 2011 at 16:29, Benjamin Root ben.r...@ou.edu wrote:
Does the same problem occur if -345 comes after ABC?
Yes.
np.array(list(reversed([-345,4,2,'ABC'])))
array(['ABC', '2', '4', '-34'],
dtype='|S3')
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