Hi,
I've got two issues:
First, the following seems to cause a memory leak,
using numpy 1.3.0:
a = matrix(ones(1))
while True:
a += 0
This only seems to happen when a is a matrix rather
than an array, and when the short hand '+=' is used.
Second, I'm not sure whether that's a bug or whet
Hi,
Numpy let's me define arrays with zero rows and/or
columns, and that's wanted behaviour from what I have
read in discussions. However, I can add an array
with zero rows to an array with one row (but not more),
resulting in another zero row array, like so:
In: a = zeros((4,0))
In: a
Out: arr
st suggests that the latest version of Ubuntu is up-to-date wrt
> ATLAS:
>
> http://www.mail-archive.com/numpy-discussion@scipy.org/msg13102.html
>
> Jason
>
> On Fri, Jun 5, 2009 at 5:44 AM, David Paul Reichert <
> d.p.reich...@sms.ed.ac.uk> wrote:
>
>> Thanks
Thanks for the replies so far.
I had already tested using an already transposed matrix in the loop,
it didn't make any difference. Oh and btw, I'm on (Scientific) Linux.
I used the Enthought distribution, but I guess I'll have to get
my hands dirty and try to get that Atlas thing working (I'm not
Hi all,
I would be glad if someone could help me with
the following issue:
From what I've read on the web it appears to me
that numpy should be about as fast as matlab. However,
when I do simple matrix multiplication, it consistently
appears to be about 5 times slower. I tested this using
A = 0
