relativistic space-time's.
Documentation
-
http://gr.anu.edu.au/svn/people/sdburton/pydx/doc/user-guide.html
http://gr.anu.edu.au/svn/people/sdburton/pydx/doc/api/index.html
Subversion Repository
-
http://gr.anu.edu.au/svn/people/sdburton/pydx/
Simon Burton
Oc
a useful representation for
> audio data.
Why not ? It's good for slicing and dicing, anything else and
you should convert it to float before operating on it.
Simon.
--
Simon Burton, B.Sc.
Licensed PO Box 8066
ANU Canberra 2601
Australia
Ph. 61
py b[:-1].
How does numpy detect this, or does it
always copy the source when assigning to a slice ?
I've poked around the (numpy) code a bit and
tried some benchmarks, but it's still not so
clear to me.
Simon.
--
Simon Burton, B.Sc.
Licensed PO Box 8066
ANU Canber
Is it possible to use the where function in numexpr ?
I see some code there for it, but not sure how to use it.
While I'm asking, it seems numexpr only does pointwise
operations ATM, ie there is no .sum ?
Simon.
--
Simon Burton, B.Sc.
Licensed PO Box 8066
ANU Canberra 2601
Australia
Ph.
On Tue, 6 Jun 2006 10:19:31 +0200
"Neven Gorsic" <[EMAIL PROTECTED]> wrote:
>
>
try pyInstaller.
Simon.
--
Simon Burton, B.Sc.
Licensed PO Box 8066
ANU Canberra 2601
Australia
Ph. 61 02 6249 6940
http://arrowtheory.com
__
> a=numpy.empty((1024,1024),'d')
>>> b=numpy.empty((1024,1024),'d')
>>> numpy.dot(a,b)
[Switching to Thread -1210476000 (LWP 17557)]
Breakpoint 2, 0xb7549db0 in cblas_dgemm () from
/usr/lib/atlas/sse2/liblapack.so.3
(gdb)
bingo.
Simon.
0, 0, 0]])
>>> a[1:3,1:3]=1
>>> a
array([[0, 0, 0, 0],
[0, 1, 1, 0],
[0, 1, 1, 0],
[0, 0, 0, 0]])
>>>
--
Simon Burton, B.Sc.
Licensed PO Box 8066
ANU Canberra 2601
Australia
Ph. 61 02 6249 6940
http://arrowtheory.com
_
h.org/encyclopedia/CauchySchwarzInequality.html
Simon.
--
Simon Burton, B.Sc.
Licensed PO Box 8066
ANU Canberra 2601
Australia
Ph. 61 02 6249 6940
http://arrowtheory.com
___
Numpy-discussion mailing list
Numpy-discussion@lists.sourceforge.net
https://lists.sourceforge.
>>> import numpy
>>> numpy.__version__
'0.9.9.2631'
>>> numpy.Int32
Traceback (most recent call last):
File "", line 1, in ?
AttributeError: 'module' object has no attribute 'Int32'
>>>
This was working not so long
;> a[:,num.nonzero(v>0.5)]
array([[0, 1, 3],
[5, 6, 8]])
>>>
Simon.
--
Simon Burton, B.Sc.
Licensed PO Box 8066
ANU Canberra 2601
Australia
Ph. 61 02 6249 6940
http://arrowtheory.com
___
Numpy-discussion mailing list
Numpy-discussi
is blurring and head is spining as numpy
goes through these growing pains. I hope it's over soon. Not
because I have trouble keeping up (although i do) but it's
my matlab/R/numarray entrenched co-workers who cannot
be exposed to this unstable development (they will run
screaming to
On Fri, 30 Jun 2006 03:33:56 -0600
Travis Oliphant <[EMAIL PROTECTED]> wrote:
>
> One thing I've learned about Open Source development is that it can be
> hard to figure out exactly what is bothering people and get good
> critical feedback: people are more likely to just walk away with their
On Sun, 2 Jul 2006 16:36:14 -0700
"Webb Sprague" <[EMAIL PROTECTED]> wrote:
>
> Given the long history of python and its ancestry in C (for which zero
> based indexing made lots of sense since it dovetailed with thinking in
> memory offsets in systems programming), there is probably nothing to
>
On Mon, 03 Jul 2006 16:41:11 -0600
Fernando Perez <[EMAIL PROTECTED]> wrote:
>
> So I'd like to know if SWIG is really the best way out in this particular
> case
> (and any advice on taking advantage of the array interface via SWIG would be
> appreciated), or if ctypes or pyrex could be used h
On Wed, 12 Jul 2006 16:42:55 -0600
Travis Oliphant <[EMAIL PROTECTED]> wrote:
>
> Attached is a patch that makes PIL Image objects both export and consume
> the array interface.
Cool !
I found that upon converting to/from a numpy array the image is upside-down.
Simon.
-
in advance.
> Regards,
> Carlos
Sounds like fun.
Simon.
>
>
>
>
>
> -
> Preguntá. Respondé. Descubrí.
> Todo lo que querías saber, y lo que ni imaginabas,
> está en Yahoo! Respuestas (Beta).
> Probalo ya!
--
y support summing over arbitrary dimensions,
as in tensor calculus ?
I could cook up something that uses transpose and dot, but it's
reasonably tricky i think :)
Simon.
--
Simon Burton, B.Sc.
Licensed PO Box 8066
ANU Canberra 2601
Australia
Ph. 61 02 6249 6940
http://a
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