2009/3/12 Robert Kern robert.k...@gmail.com:
idx = np.array([0,1])
e = x[0,:,idx]
print e.shape
#- return (2,3). I think the right answer should be (3,2). Is
# it a bug here? my numpy version is 1.2.1.
It's certainly weird, but it's working as designed. Fancy indexing via
arrays
A Wednesday 11 March 2009, Ryan May escrigué:
Thanks. That's actually pretty close to what I had. I was actually
thinking that you were using only blas_opt and lapack_opt, since
supposedly the [mkl] style section is deprecated. Thus far, I cannot
get these to work with MKL.
Well, my
On Thu, Mar 12, 2009 at 4:39 AM, David Cournapeau courn...@gmail.com wrote:
On Thu, Mar 12, 2009 at 12:38 PM, David Cournapeau courn...@gmail.com wrote:
and you can't
cross compile easily.
Of course, this applies to numpy/scipy - you can cross compile your
own extensions relatively easily
Hello,
If I do:
C:\ easy_install numpy
... on a windows box, it attempts to do a source download and build,
which typically doesn't work. If however I use:
C:\ easy_install numpy==1.0.4
... then the magic works just fine. Any chance of a more recent
bdist_egg being made available for
Hi Jon,
Jon Wright wrote:
Hello,
If I do:
C:\ easy_install numpy
... on a windows box, it attempts to do a source download and build,
which typically doesn't work. If however I use:
C:\ easy_install numpy==1.0.4
... then the magic works just fine. Any chance of a more recent
Hi there,
I have read the docs of PIL but there is no function for this. Can I
use numpy-scipy for the matter?
The image size is 1K.
did you have a look at OpenCV?
http://sourceforge.net/projects/opencvlibrary
Since a couple of weeks, we have implemented the numpy array interface
so
David Cournapeau wrote:
Hi Jon,
Jon Wright wrote:
Hello,
If I do:
C:\ easy_install numpy
... on a windows box, it attempts to do a source download and build,
which typically doesn't work. If however I use:
C:\ easy_install numpy==1.0.4
... then the magic works just fine. Any
did you have a look at OpenCV?
http://sourceforge.net/projects/opencvlibrary
Since a couple of weeks, we have implemented the numpy array
interface so data exchange is easy [check out from SVN].
Oh fantastic! That is great news indeed.
Zach
___
On Thu, Mar 12, 2009 at 9:13 PM, David Cournapeau courn...@gmail.com wrote:
On Thu, Mar 12, 2009 at 1:00 PM, Robert Kern robert.k...@gmail.com wrote:
It was an example.
Ok, guess I will have to learn the difference between i.e. and e.g. one day.
Anyway, here is a first shot at it:
On Thu, Mar 12, 2009 at 1:00 PM, Robert Kern robert.k...@gmail.com wrote:
It was an example.
Ok, guess I will have to learn the difference between i.e. and e.g. one day.
Anyway, here is a first shot at it:
http://codereview.appspot.com/26052
I added a few tests which fail with trunk and
Hi,
I was wondering if there was any reason for still using sourceforge
? AFAIK, we only use it to put the files there, and dealing with
sourceforge to upload files is less than optimal to say the least. Is
there any drawback to directly put the files to scipy.org ?
cheers,
David
2009/3/12 David Cournapeau courn...@gmail.com:
Anyway, here is a first shot at it:
http://codereview.appspot.com/26052
Design question: should [('x', float), ('y', float)] and [('t',
float), ('s', float)] hash to the same value or not?
Regards
Stéfan
David Cournapeau wrote:
Hi,
For the record, I have just added the following functionalities to
numpy, which may simplify some C code:
- NPY_NAN/NPY_INFINITY/NPY_PZERO/NPY_NZERO: macros to get nan, inf,
positive and negative zeros. Rationale: some code use NAN, _get_nan,
etc... NAN
Stéfan van der Walt wrote:
2009/3/12 David Cournapeau courn...@gmail.com:
Anyway, here is a first shot at it:
http://codereview.appspot.com/26052
Design question: should [('x', float), ('y', float)] and [('t',
float), ('s', float)] hash to the same value or not?
According to:
On Thu, Mar 12, 2009 at 3:05 AM, Francesc Alted fal...@pytables.org wrote:
A Wednesday 11 March 2009, Ryan May escrigué:
Thanks. That's actually pretty close to what I had. I was actually
thinking that you were using only blas_opt and lapack_opt, since
supposedly the [mkl] style section
On Thu, Mar 12, 2009 at 10:19 PM, Bruce Southey bsout...@gmail.com wrote:
David Cournapeau wrote:
Hi,
For the record, I have just added the following functionalities to
numpy, which may simplify some C code:
- NPY_NAN/NPY_INFINITY/NPY_PZERO/NPY_NZERO: macros to get nan, inf,
Ryan May wrote:
[DEFAULT]
include_dirs = /opt/intel/mkl/10.0.2.018/include/
http://10.0.2.018/include/
library_dirs = /opt/intel/mkl/10.0.2.018/lib/em64t/:/usr/lib
http://10.0.2.018/lib/em64t/:/usr/lib
[blas]
libraries = mkl_gf_lp64, mkl_gnu_thread, mkl_core, iomp5
[lapack]
libraries =
On Thu, Mar 12, 2009 at 8:30 AM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Ryan May wrote:
[DEFAULT]
include_dirs = /opt/intel/mkl/10.0.2.018/include/
http://10.0.2.018/include/
library_dirs = /opt/intel/mkl/10.0.2.018/lib/em64t/:/usr/lib
On Thu, Mar 12, 2009 at 5:25 AM, Ryan May rma...@gmail.com wrote:
That's fine. I just wanted to make sure I didn't do something weird while
getting numpy built with MKL.
It should be fixed in r6650
David
___
Numpy-discussion mailing list
On Thu, Mar 12, 2009 at 9:02 AM, David Cournapeau courn...@gmail.comwrote:
On Thu, Mar 12, 2009 at 5:25 AM, Ryan May rma...@gmail.com wrote:
That's fine. I just wanted to make sure I didn't do something weird
while
getting numpy built with MKL.
It should be fixed in r6650
Fixed for
On Thu, Mar 12, 2009 at 11:23 PM, Ryan May rma...@gmail.com wrote:
Fixed for me. I get a segfault running scipy.test(), but that's probably
due to MKL.
Yes, it is. Scipy run the test suite fine for me.
David
___
Numpy-discussion mailing list
On Thu, Mar 12, 2009 at 9:55 AM, David Cournapeau courn...@gmail.comwrote:
On Thu, Mar 12, 2009 at 11:23 PM, Ryan May rma...@gmail.com wrote:
Fixed for me. I get a segfault running scipy.test(), but that's probably
due to MKL.
Yes, it is. Scipy run the test suite fine for me.
While
A Thursday 12 March 2009, Ryan May escrigué:
I can get it working now with either the [mkl] section like your
config or the following config:
[DEFAULT]
include_dirs = /opt/intel/mkl/10.0.2.018/include/
library_dirs = /opt/intel/mkl/10.0.2.018/lib/em64t/:/usr/lib
On Thu, Mar 12, 2009 at 10:11 AM, Francesc Alted fal...@pytables.orgwrote:
A Thursday 12 March 2009, Ryan May escrigué:
I can get it working now with either the [mkl] section like your
config or the following config:
[DEFAULT]
include_dirs = /opt/intel/mkl/10.0.2.018/include/
On Fri, Mar 13, 2009 at 12:10 AM, Ryan May rma...@gmail.com wrote:
On Thu, Mar 12, 2009 at 9:55 AM, David Cournapeau courn...@gmail.com
wrote:
On Thu, Mar 12, 2009 at 11:23 PM, Ryan May rma...@gmail.com wrote:
Fixed for me. I get a segfault running scipy.test(), but that's
probably
On Thu, Mar 12, 2009 at 12:00 PM, David Cournapeau courn...@gmail.comwrote:
On Fri, Mar 13, 2009 at 12:10 AM, Ryan May rma...@gmail.com wrote:
On Thu, Mar 12, 2009 at 9:55 AM, David Cournapeau courn...@gmail.com
wrote:
On Thu, Mar 12, 2009 at 11:23 PM, Ryan May rma...@gmail.com wrote:
(First off, is it OK to continue polling the NumPy list now and then on
Cython language decisions? Or should I expect that any interested Cython
users follow the Cython list?)
In Python, if I write -1 % 5, I get 4. However, in C if I write -1 %
5 I get -1. The question is, what should I get in
On Thu, Mar 12, 2009 at 07:59:48PM +0100, Dag Sverre Seljebotn wrote:
(First off, is it OK to continue polling the NumPy list now and then on
Cython language decisions? Or should I expect that any interested Cython
users follow the Cython list?)
Yes, IMHO.
In Python, if I write -1 % 5, I
Hello,
I use numpy and Scientific Numpy for my work.
I installed them in a manner I can use them on remote OS in copying
them and using sys.path.append. Many times it works, but sometimes
(depending on Python version) I receive this error :
ImportError: $MYLIBFOLDER/site-packages/
David Cournapeau wrote:
On Thu, Mar 12, 2009 at 10:19 PM, Bruce Southey bsout...@gmail.com wrote:
David Cournapeau wrote:
Hi,
For the record, I have just added the following functionalities to
numpy, which may simplify some C code:
-
Hi Dag
2009/3/12 Dag Sverre Seljebotn da...@student.matnat.uio.no:
(First off, is it OK to continue polling the NumPy list now and then on
Cython language decisions? Or should I expect that any interested Cython
users follow the Cython list?)
Given that many of the subscribers make use of the
On Thu, Mar 12, 2009 at 12:59 PM, Dag Sverre Seljebotn
da...@student.matnat.uio.no wrote:
(First off, is it OK to continue polling the NumPy list now and then on
Cython language decisions? Or should I expect that any interested Cython
users follow the Cython list?)
In Python, if I write -1
2009/3/13 Charles R Harris charlesr.har...@gmail.com:
That said, I think it best to leave '%' with its C default and add a special
modulus function for the python version. Changing its meaning in C-like code
is going to confuse things.
This is Cython code, so I think there is an argument to be
2009/3/13 Charles R Harris charlesr.har...@gmail.com:
That said, I think it best to leave '%' with its C default and add a
special
modulus function for the python version. Changing its meaning in C-like
code
is going to confuse things.
This is Cython code, so I think there is an
On Thu, Mar 12, 2009 at 17:45, Sturla Molden stu...@molden.no wrote:
2009/3/13 Charles R Harris charlesr.har...@gmail.com:
That said, I think it best to leave '%' with its C default and add a
special
modulus function for the python version. Changing its meaning in C-like
code
is going to
On Wed, Mar 11, 2009 at 19:55, shuwj5...@163.com shuwj5...@163.com wrote:
Hi,
import numpy as np
x = np.arange(30)
x.shape = (2,3,5)
idx = np.array([0,1])
e = x[0,idx,:]
print e.shape
# return (2,5). ok.
idx = np.array([0,1])
e = x[0,:,idx]
print e.shape
On Thu, Mar 12, 2009 at 01:34, Stéfan van der Walt ste...@sun.ac.za wrote:
2009/3/12 Robert Kern robert.k...@gmail.com:
idx = np.array([0,1])
e = x[0,:,idx]
print e.shape
#- return (2,3). I think the right answer should be (3,2). Is
# it a bug here? my numpy version is 1.2.1.
On Thu, Mar 12, 2009 at 8:08 PM, Jon Wright wri...@esrf.fr wrote:
I'd like to have numpy as a dependency being pulled into a virtualenv
automatically. Is that possible with the binary installer?
I don't think so - but I would think that people using virtualenv are
familiar with compiling
shuwj5...@163.com wrote:
It's certainly weird, but it's working as designed. Fancy indexing via
arrays is a separate subsystem from indexing via slices. Basically,
fancy indexing decides the outermost shape of the result (e.g. the
leftmost items in the shape tuple). If there are any sliced
Robert Kern wrote:
On Thu, Mar 12, 2009 at 01:34, Stéfan van der Walt ste...@sun.ac.za wrote:
2009/3/12 Robert Kern robert.k...@gmail.com:
idx = np.array([0,1])
e = x[0,:,idx]
print e.shape
#- return (2,3). I think the right answer should be (3,2). Is
# it a bug here?
Hi,
While making sure in-place builds work, I got the following problem:
python setup.py build_ext -i
python -c import numpy as np; np.test()
- many errors
The error are all import errors:
Traceback (most recent call last):
File /usr/media/src/dsp/numpy/git/numpy/tests/test_ctypeslib.py,
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