Hey Sheldon
With NumPy you can use dtype's newbyteorder method to convert any dtype's
byte order to an order you specify:
In [1]: import numpy as N
In [2]: x = N.array([1],dtype='i4')
In [3]: y = N.array([1],dtype='i4')
In [4]: xle = N.asarray(x, dtype=x.dtype.newbyteorder(''))
In [5]: yle =
Hey Chuck
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of Charles R Harris
Sent: 01 July 2006 19:57
To: Robert Kern
Cc: numpy-discussion@lists.sourceforge.net
Subject: Re: [Numpy-discussion] Time for beta1 of NumPy 1.0
All,
This is bit
Hello all
Travis Oliphant wrote:
snip
Unfortunately, from the source code this is not true. It would be an
improvement, but the source code shows that the from_param of each type
does something special and only works with particular kinds of
data-types --- basic Python types or ctypes
Hello all
On Mon, 03 Jul 2006, Travis Oliphant wrote:
Fernando Perez wrote:
Hi all,
but my lack of familiarity with all the details of new type creation got me
a
bit lost. I'm sure the information I need is all there, but right now I
don't
really see the forest with all the
Hello all
On Tue, 04 Jul 2006, Thomas Heller wrote:
Albert Strasheim schrieb:
Hey Thomas
Thomas Heller wrote:
Thomas Heller schrieb:
I've also played a little, and I think one important limitation in
ctypes
is that items in the argtypes list have to be ctypes types.
Thi
Hello all
Please,
try out the new C-API and let's get the bugs wrinkled out.
Hopefully this will give us a more solid foundation for the future...
I've already committed changes to matplotlib SVN that allow it to work
with old and new NumPy.
What implications, if any, do these changes
Hello all
Various people wrote:
Im curious though: the several projects recently using ctypes
and numpy to wrap libraries (Pygame SDL, OpenGL, svm) must have come
across the issue of using a creating a numpy array from a ctypes
pointer. Ill have to look further.
It depends on
Hey David
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of David Huard
Sent: 17 July 2006 16:11
To: numpy-discussion@lists.sourceforge.net
Subject: Re: [Numpy-discussion] unique() should return a sorted array
Hi,
I attached a patch for
Hello all
In some situations, I have to work with very large matrices. My Windows
machine has 3 GB RAM, so I would expect to be able to use most of my
process's address space for my matrix.
Unfortunately, with matrices much larger than 700 or 800 MB, one starts
running into heap fragmentation
Hey Lars
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of Lars Friedrich
Sent: 25 July 2006 12:50
To: numpy-discussion@lists.sourceforge.net
Subject: [Numpy-discussion] ctypes, numpy-array
Hello,
I would like to work with some data using
Hello all
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of Lars Friedrich
Sent: 25 July 2006 13:55
To: numpy-discussion@lists.sourceforge.net
Subject: Re: [Numpy-discussion] ctypes, numpy-array
What's might be happening here is that
Hey Mathew
The problem is that ATLAS doesn't provide all the LAPACK functions, only a
few that the ATLAS developers have optimized.
To get a complete LAPACK library, you need to build the Fortran LAPACK
library, and then put the ATLAS-optimized functions into this library.
Details here:
Hello all
Another +1. When I build a Windows installer, I get:
numpy-1.0b2.dev2915.win32-py2.4.exe
This tells me everything I want to know.
Regards,
Albert
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of Sasha
Sent: 27 July 2006 21:26
To:
Hello all
With the nice ctypes integration in NumPy, and with Python 2.5 which will
include ctypes around the corner, a remote possibility exists that within
the next year or two, I might not be the only person that wants to use NumPy
with ctypes.
This is probably going to mean that this someone
Hello all
Just a quick note on the ndpointer function that Travis recently added to
NumPy (thanks Travis!).
When wrapping functions with ctypes, one can specify the argument types of
the function. ctypes then checks that the parameters are valid before
invoking the C function.
This is described
Hello all
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of David Grant
Sent: 16 August 2006 17:11
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] some work on arpack
On 8/16/06, Keith Goodman [EMAIL PROTECTED] wrote:
Hello all
snip
I decided to upgrade to 1.0b2 just to see what I get and now I get 7kB of
possibly lost memory, coming from PyObject_Malloc (in
/usr/lib/libpython2.4.so.1.0). This is a constant 7kB, however, and it
isn't getting any larger if I increase the loop iterations. Looks good
then.
Hello all
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of David Cournapeau
Sent: 18 August 2006 06:55
To: Discussion of Numerical Python
Subject: [Numpy-discussion] ctypes: how does load_library work ?
snip
That works OK, but to avoid the
Hello all
I just ran NumPy and SciPy through Valgrind, and everything looks clean on
that the NumPy side.
Some other things that could be fixed for RC1:
- GCC 4.1.1 warning in ufuncobject.c:
numpy/core/src/ufuncobject.c: In function âPyUFunc_RegisterLoopForTypeâ:
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of Sebastian Haase
Sent: 15 September 2006 03:21
To: numpy-discussion
Subject: [Numpy-discussion] how to get info about internals of an
arrayobject ?
Hi,
what I'm asking is if numpy has an
Hello all
In [1]: import numpy as N
In [3]: N.dtype({'names' : ['x', 'y'],
'formats' : [N.intc, N.float64]},
align=True)
Out[3]: dtype([('x', 'i4'), ('', '|V4'), ('y', 'f8')])
The reason you might not have discovered this:
In [2]: N.dtype?
Type: type
Hello all
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of Martin Wiechert
Sent: 15 September 2006 19:53
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion]PyArray_DescrConverter - alignment /
trailingunused bytes
On Friday
Argh
snip
One final question. To me the repr of a dtype with gaps is a little bit
puzzling:
dtype ({'names': ['a', 'b', 'c'], 'formats': ['a4', 'f8', 'f4'],
'offsets': [0, 16, 24]})
dtype([('a', '|S4'), ('', '|V12'), ('b', 'f8'), ('', '|V12'), ('c',
'f4')])
There should be
Hello all
These problems were fixed in SVN just after 1.0rc1 was released.
http://projects.scipy.org/scipy/numpy/changeset/3119
Regards,
Albert
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of Achim Gaedke
Sent: 17 September 2006 22:00
To:
Hello all
I recently started looking at David Cournapeau's PyEM package, specifically
his implementation of the K-Means algorithm. He implemented part of this
algorithm with in pure Python version and also provided a Pyrex alternative
that is significantly faster (about 10 times with the data I
Hello all
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of Travis Oliphant
Sent: 03 October 2006 02:32
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] Vectorizing code, for loops, and all that
Travis Oliphant wrote:
Hello all
-Original Message-
From: Travis Oliphant [mailto:[EMAIL PROTECTED]
Sent: 03 October 2006 03:51
To: Discussion of Numerical Python; Albert Strasheim
Subject: Re: ***[Possible UCE]*** Re: [Numpy-discussion] Vectorizing code,
for loops, and all that
snip
Meanwhile, I can
Hello all
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of Karol Langner
Sent: 07 October 2006 14:07
To: NumPy List
Subject: [Numpy-discussion] problem with lapack_lite / BLAS
Dear list,
I'm trying to compile ATLAS 3.6.0 and LAPACK 3.0
Hello all
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of Tim Hochberg
Sent: 12 October 2006 21:24
To: numpy-discussion
Subject: [Numpy-discussion] More SVN testing
I just checked in a couple of changes to SVN. I was going to check in
Argh.
snip
In addition to the wrapper there is a Python interface (and some tests).
I don't know if the interface is like eigs - I don't use Matlab.
http://www.mathworks.de/access/helpdesk/help/techdoc/ref/index.html?/access/
helpdesk/help/techdoc/ref/eigs.html
should give you some idea of
Hey Fernando
Maybe you can give the code a spin under Valgrind. It's going to be slow,
but if the crash is being caused by memory corruption that happens all the
time as the process is running, maybe Valgrind will show it.
You need some Valgrind suppressions for Python. It seems the 2.3 source
Hey Travis
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of Travis Oliphant
Sent: Tuesday, October 24, 2006 12:32 AM
To: Discussion of Numerical Python
Subject: [Numpy-discussion] Release of 1.0 coming
The long awaited day is coming---
Hello all
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of Travis Oliphant
Sent: Tuesday, October 24, 2006 12:04 AM
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] Strange results when sorting array
withfields
snip
It
Hello all
-Original Message-
From: [EMAIL PROTECTED] [mailto:numpy-
[EMAIL PROTECTED] On Behalf Of Travis Oliphant
Sent: Thursday, October 19, 2006 5:45 PM
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] adding an attribute to an nd-array
Stefan van der Walt
Hey George
On Tue, 31 Oct 2006, George Sakkis wrote:
Is there a more elegant and/or faster way to read some records from a
file and then sort them by different fields ? What I have now is too
specific and error-prone in general:
import numpy as N
records = N.fromfile(a_file,
Howdy
On Wed, 08 Nov 2006, Vincent Broman wrote:
Building an rpm of numpy-1.0.1.dev3432-1 on fedora core 6 is failing for me.
With either python-2.4.3 or 2.4.4 I try python setup.py bdist_rpm
inside the source directory, and everything seems to go well except for
many File listed twice
Argh,
On Thu, 09 Nov 2006, Albert Strasheim wrote:
%_unpackaged_files_terminate_build 1
Cut and paste error. Make that
%_unpackaged_files_terminate_build 0
Cheers,
Albert
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