On Wed, Mar 20, 2013 at 9:03 AM, Robert Kern wrote:
I highly recommend using an existing tool to write this interface, to
take care of the reference counting, etc for you.
Cython is particularly nice.
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
NOAA/NOS/OR&R
> Hey,
>
> On Wed, 2013-03-20 at 16:31 +0100, Andreas Hilboll wrote:
>> Cross-posting a question I asked on SO
>> (http://stackoverflow.com/q/15527666/152439):
>>
>>
>> Given an array
>>
>> d = np.random.randn(100)
>>
>> and an index array
>>
>> i = np.random.random_integers(low=3, high=d.s
On 20 Mar 2013 17:11, "Warren Weckesser" wrote:
>
>
>
> On Fri, Mar 15, 2013 at 4:39 PM, Nathaniel Smith wrote:
>>
>> On Fri, Mar 15, 2013 at 6:47 PM, Warren Weckesser
>> wrote:
>> > Hi all,
>> >
>> > In a recent scipy pull request (https://github.com/scipy/scipy/pull/459),
I
>> > ran into the p
Reproduced it. I will take a look at it. That error comes direct from
BLAS and shouldn't be happening.
I will also look why inner1d is not performing well. Note: inner1d is
implemented with calls to BLAS (dot).
I will get back to you later :)
On Wed, Mar 20, 2013 at 4:10 PM, Jaakko Luttinen
wro
On Fri, Mar 15, 2013 at 4:39 PM, Nathaniel Smith wrote:
> On Fri, Mar 15, 2013 at 6:47 PM, Warren Weckesser
> wrote:
> > Hi all,
> >
> > In a recent scipy pull request (https://github.com/scipy/scipy/pull/459),
> I
> > ran into the problem of ufuncs automatically generating a signature in
> the
On Wed, Mar 20, 2013 at 1:59 PM, Søren wrote:
> Greetings
>
> I'm extending our existing C/C++ software with Python/Numpy in order to do
> extra number crunching.
> It already works like a charm calling python with the C API .
>
> But what is the proper way of passing double arrays returned from
Hey,
On Wed, 2013-03-20 at 16:31 +0100, Andreas Hilboll wrote:
> Cross-posting a question I asked on SO
> (http://stackoverflow.com/q/15527666/152439):
>
>
> Given an array
>
> d = np.random.randn(100)
>
> and an index array
>
> i = np.random.random_integers(low=3, high=d.size - 5, si
Cross-posting a question I asked on SO
(http://stackoverflow.com/q/15527666/152439):
Given an array
d = np.random.randn(100)
and an index array
i = np.random.random_integers(low=3, high=d.size - 5, size=20)
how can I efficiently create a 2d array r with
r.shape = (20, 8)
such th
On 20/03/2013 11:12 AM, Frédéric
Bastien wrote:
On Wed, Mar 20, 2013 at 11:01 AM, Colin J. Williams
wrote:
On 20/03/2013 10:30 AM, Frédéric Bastien wrote:
Hi,
win32 do not mean it is a 32 bits windows. sys.platform always retur
On 20/03/2013 11:06 AM, Jens Nielsen
wrote:
The python3 version is compiled without
any optimised library and is falling back on a slow version.
Where did you get this installation from?
Jens
From the
On Wed, Mar 20, 2013 at 11:01 AM, Colin J. Williams
wrote:
> On 20/03/2013 10:30 AM, Frédéric Bastien wrote:
>>
>> Hi,
>>
>> win32 do not mean it is a 32 bits windows. sys.platform always return
>> win32 on 32bits and 64 bits windows even for python 64 bits.
>>
>> But that is a good question, is y
Well, thanks to seberg, I finally noticed that there is a dot product
function in this new module numpy.core.gufuncs_linalg, it was just named
differently (matrix_multiply instead of dot).
However, I may have found a bug in it:
import numpy.core.gufuncs_linalg as gula
A = np.arange(2*2).reshape((
The python3 version is compiled without any optimised library and is
falling back on a slow version. Where did you get this installation from?
Jens
On Wed, Mar 20, 2013 at 3:01 PM, Colin J. Williams
wrote:
> On 20/03/2013 10:30 AM, Frédéric Bastien wrote:
> > Hi,
> >
> > win32 do not mean it is
On 20/03/2013 10:30 AM, Frédéric Bastien wrote:
> Hi,
>
> win32 do not mean it is a 32 bits windows. sys.platform always return
> win32 on 32bits and 64 bits windows even for python 64 bits.
>
> But that is a good question, is your python 32 or 64 bits?
32 bits.
Colin W.
>
> Fred
>
> On Wed, Mar 2
On 20/03/2013 10:29 AM, Jens Nielsen
wrote:
Hi,
Could also be that they are linked to different
libs such as atlas and standart Blas. What is the output of
numpy.show_config() in the two different python
versio
On 20/03/2013 10:14 AM, Daπid wrote:
Without much detailed knowledge of the topic, I would expect both
versions to give very similar timing, as it is essentially a call to
ATLAS function, not much is done in Python.
Given this, maybe the difference is in ATLAS itself. Ho
Hi,
win32 do not mean it is a 32 bits windows. sys.platform always return
win32 on 32bits and 64 bits windows even for python 64 bits.
But that is a good question, is your python 32 or 64 bits?
Fred
On Wed, Mar 20, 2013 at 10:14 AM, Daπid wrote:
> Without much detailed knowledge of the topic,
Hi,
Could also be that they are linked to different libs such as atlas and
standart Blas. What is the output of
numpy.show_config() in the two different python versions.
Jens
On Wed, Mar 20, 2013 at 2:14 PM, Daπid wrote:
> Without much detailed knowledge of the topic, I would expect both
> ve
Without much detailed knowledge of the topic, I would expect both
versions to give very similar timing, as it is essentially a call to
ATLAS function, not much is done in Python.
Given this, maybe the difference is in ATLAS itself. How have you
installed it? When you compile ATLAS, it will do some
Greetings
I'm extending our existing C/C++ software with Python/Numpy in order to do
extra number crunching.
It already works like a charm calling python with the C API .
But what is the proper way of passing double arrays returned from Python/Numpy
routines back to C?
I came across PyArray bu
I have a small program which builds random matrices for
increasing matrix orders, inverts the matrix and checks the
precision of the product. At some point, one would expect
operations to fail, when the memory capacity is exceeded. In
both Python 2.7 and
I tried using this inner1d as an alternative to dot because it uses
broadcasting. However, I found something surprising: Not only is inner1d
much much slower than dot, it is also slower than einsum which is much
more general:
In [68]: import numpy as np
In [69]: import numpy.core.gufuncs_linalg a
Hi,
Le 19/03/2013 08:12, Sudheer Joseph a écrit :
> *Thank you Pierre,*
> It appears the numpy.correlate uses the
> frequency domain method for getting the ccf. I would like to know how
> serious or exactly what is the issue with normalization?. I have
> computed cross corre
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