2010/3/1 Charles R Harris charlesr.har...@gmail.com:
On Sun, Feb 28, 2010 at 7:58 PM, Ian Mallett geometr...@gmail.com wrote:
Excellent--and a 3D rotation matrix is 3x3--so the list can remain n*3.
Now the question is how to apply a rotation matrix to the array of vec3?
It looks like you want
Finally I got my Wine environment sorted out - I'm now able to build
superpack installers for both Python 2.5 and 2.6. I tested the 2.6 installer
on Windows XP, and got a single test failure. This exact same test also is
the only test failure with the numpy 1.3 installer on sourceforge. So the
On Mon, Mar 1, 2010 at 8:40 AM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
Finally I got my Wine environment sorted out - I'm now able to build
superpack installers for both Python 2.5 and 2.6. I tested the 2.6 installer
on Windows XP, and got a single test failure. This exact same test
On Mon, Mar 1, 2010 at 10:06 PM, josef.p...@gmail.com wrote:
This test has been reported to fail for a while on Windows. It also
fails with numpy 1.4.0
Thanks Josef. In that case I'm good to go.
Ralf
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NumPy-Discussion mailing list
Hi all,
Here are some requests / things I think need to be done before a 1.4.1 RC1
can be put out.
1. Bump up the version to 1.4.1
2. Update the release notes, including an explanation of why 1.4.0 was
pulled.
3. Patrick and I need info on how to upload to Sourceforge. David or Jarrod,
can you
On Mar 1, 2010, at 10:04 AM, Martin Raspaud wrote:
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Hi all,
We are using at the moment a c extension which should manipulate masked
arrays.
What we do is to fill the masked array with a given value (say 65535 if we run
uint16 arrays), do the
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Pierre GM skrev:
On Mar 1, 2010, at 10:04 AM, Martin Raspaud wrote:
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Hash: SHA1
Hi all,
We are using at the moment a c extension which should manipulate masked
arrays.
What we do is to fill the masked array
On Mar 1, 2010, at 10:39 AM, Martin Raspaud wrote:
Hi,
We're talking map projections, so that means that the values will move around,
including masked ones...
So filling the array with a given value is a way of projecting the array and
the
mask in one shot...
OK then. Just make sure
Thx David,
Maybe i will have to try that as a temporary fix. But in the long run i do want
to build my own Python.
C.
On Feb 26, 2010, at 4:59 PM, David Warde-Farley wrote:
On 26-Feb-10, at 7:43 PM, Charles سمير Doutriaux wrote:
Any idea on how to build a pure 32bit numpy on snow leopard?
Bruce Southey wrote:
On Fri, Feb 26, 2010 at 6:59 PM, David Warde-Farley d...@cs.toronto.edu wrote:
On 26-Feb-10, at 7:43 PM, Charles #1587;#1605;#1610;#1585; Doutriaux
wrote:
Any idea on how to build a pure 32bit numpy on snow leopard?
If I'm not mistaken you'll probably want to build
Just wanted to report qualified success installing NumPy SciPy under
a 64-bit build of Python-2.6.4 (universal framework) on OS X 10.6.2
(current Snow Leopard). I am using the current SVN checkouts
(numpy r8270, scipy r6250).
NumPy has installed successfully for some time now and the current
On Mon, Mar 1, 2010 at 3:23 PM, Tom Loredo lor...@astro.cornell.edu wrote:
Just wanted to report qualified success installing NumPy SciPy under
a 64-bit build of Python-2.6.4 (universal framework) on OS X 10.6.2
(current Snow Leopard). I am using the current SVN checkouts
(numpy r8270,
On Mon, 1 Mar 2010 15:49:52 -0500
josef.p...@gmail.com wrote:
On Mon, Mar 1, 2010 at 3:23 PM, Tom Loredo
lor...@astro.cornell.edu wrote:
Just wanted to report qualified success installing NumPy
SciPy under
a 64-bit build of Python-2.6.4 (universal framework) on
OS X 10.6.2
(current Snow
Martin Raspaud martin.raspaud at smhi.se writes:
We are using at the moment a c extension which should manipulate masked
arrays.
What we do is to fill the masked array with a given value (say 65535 if we run
uint16 arrays), do the manipulation, and convert back to masked arrays when we
go
On Mon, Mar 1, 2010 at 6:52 AM, Ralf Gommers
ralf.gomm...@googlemail.com wrote:
Here are some requests / things I think need to be done before a 1.4.1 RC1
can be put out.
1. Bump up the version to 1.4.1
2. Update the release notes, including an explanation of why 1.4.0 was
pulled.
3.
On Mon, Mar 1, 2010 at 2:04 PM, Tom Loredo lor...@astro.cornell.edu wrote:
Bruce Southey wrote:
On Fri, Feb 26, 2010 at 6:59 PM, David Warde-Farley d...@cs.toronto.edu
wrote:
On 26-Feb-10, at 7:43 PM, Charles #1587;#1605;#1610;#1585; Doutriaux
wrote:
Any idea on how to build a pure
This is how I always do it:
In [1]: import numpy as np
In [3]: tmat = np.array([[0., 1., 0., 5.],[0., 0., 1., 3.],[1., 0., 0.,
2.]])
In [4]: tmat
Out[4]:
array([[ 0., 1., 0., 5.],
[ 0., 0., 1., 3.],
[ 1., 0., 0., 2.]])
In [5]: points = np.random.random((5, 3))
Excellent--this setup works perfectly! In the areas I was concentrating on,
the the speed increased an order of magnitude.
However, the overall speed seems to have dropped. I believe this may be
because the heavy indexing that follows on the result is slower in numpy.
Is this a correct
On 02/28/2010 10:58 PM, Pierre GM wrote:
On Mar 1, 2010, at 1:02 AM, Peter Shinners wrote:
Here is the code as I would like it to work.
http://python.pastebin.com/CsEnUrSa
import numpy as np
values = np.array((40, 18, 37, 9, 22))
index = np.arange(3)[None,:] +
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