On Mon, Nov 2, 2009 at 9:38 PM, Pauli Virtanen wrote:
>
> Can we get the complex functions to npy_math for 1.4.0: could be useful
> for the next Scipy?
Ok, the complex math stuff is in the trunk now. I have not thoroughly
tested it again, but since I tested the former branch on most
platforms, a
Hi all (mostly David C. since he probably knows all this horrible
stuff),
I noticed on my new laptop (with an Atom N280 in it) that when I run
numpy.test() about the 34th test would loop, seemingly forever.
Finding this a little odd, I tried an SVD on a small matrix and
observed the same be
Yes!!! it was... I didn't realize.
Thank you very much
2009/11/3 Raspaud Martin
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>
> Gabriel wrote:
> > Hi it`s my first time.
> >
> > I have a trouble whit fft.
> > For example:
> > s = sin(wt)
> >
> > f = abs(fft(s))
> >
> > In f I have the m
On Tue, Nov 3, 2009 at 10:05 PM, Charles R Harris
wrote:
> I believe f2py development has moved elsewhere, the new mailing list seems
> to be at http://groups.google.com/group/f2py-dev?pli=1 . It doesn't look to
> be very active. Perhaps the summer additions to cython adding some fortran
> support
Brennan Williams wrote:
> Hi
>
> I'm using FortranFile on 32 bit XP.
>
> The first record in the file has both 32 bit integer values and double
> precision float values.
>
> I've used readInts('i') to read the data into what I presume is a 32-bit
> integer numpy array.
>
> Items 0 and 1 of the ar
I just tried to send the message below to f2py-users -
f2py-us...@cens.ioc.ee, but delivery failed.
Not sure where else to report this so hopefully here is ok.
Cheers
Robin
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On Tue, Nov 3, 2009 at 2:42 PM, Robin wrote:
> I just tried to send the message below to f2py-users -
> f2py-us...@cens.ioc.ee, but delivery failed.
>
> Not sure where else to report this so hopefully here is ok.
>
I believe f2py development has moved elsewhere, the new mailing list seems
to be
Hi
I'm using FortranFile on 32 bit XP.
The first record in the file has both 32 bit integer values and double
precision float values.
I've used readInts('i') to read the data into what I presume is a 32-bit
integer numpy array.
Items 0 and 1 of the array are the first double precision value.
Just noticed this is only supported on linux - sorry for the noise
(not having a very good day today!)
Robin
On Tue, Nov 3, 2009 at 6:47 PM, Robin wrote:
> Hi,
>
> When I try to build a fortran module with f2py from '1.4.0.dev7618'
> with gfortran 4.2.3 from att.com and apple gcc 4.2 on snow leo
Hi,
When I try to build a fortran module with f2py from '1.4.0.dev7618'
with gfortran 4.2.3 from att.com and apple gcc 4.2 on snow leopard I
get the following error when I try to use -DF2PY_REPORT_ATEXIT:
In [1]: import gfint
---
Hi folks,
if you reside in the San Francisco Bay Area, you may be interested in
a meeting we'll be having tomorrow November 4 (2-4 pm), as part of our
regular py4science meeting series. Guido van Rossum, the creator of
the Python language, will visit for a session where we will first do a
very ra
On Tue, Nov 3, 2009 at 6:14 PM, Robin wrote:
> After some more pootling about I figured out a lot of the performance
> loss comes from using 32 bit integers by default when compiles 64 bit.
> I asked this question on stackoverflow:
> http://stackoverflow.com/questions/1668899/fortran-32-bit-64-bit
After some more pootling about I figured out a lot of the performance
loss comes from using 32 bit integers by default when compiles 64 bit.
I asked this question on stackoverflow:
http://stackoverflow.com/questions/1668899/fortran-32-bit-64-bit-performance-portability
is there any way to use fort
On Nov 3, 2009, at 11:43 AM, David Warde-Farley wrote:
> On 2-Nov-09, at 11:35 PM, Thomas Robitaille wrote:
>
>> But if I want to specify the data types:
>>
>> np.rec.fromrecords([(1,'hello'),(2,'world')],dtype=[('a',np.int8),
>> ('b',np.str)])
>>
>> the string field is set to a length of zero:
>
On 2-Nov-09, at 11:35 PM, Thomas Robitaille wrote:
> But if I want to specify the data types:
>
> np.rec.fromrecords([(1,'hello'),(2,'world')],dtype=[('a',np.int8),
> ('b',np.str)])
>
> the string field is set to a length of zero:
>
> rec.array([(1, ''), (2, '')], dtype=[('a', '|i1'), ('b', '|S0')
Thanks, that's what I wanted to know!
On 11/1/09, Charles R Harris wrote:
> On Sun, Nov 1, 2009 at 7:26 PM, wrote:
>
>> On Sun, Nov 1, 2009 at 9:58 PM, David Goldsmith
>> wrote:
>> > I Googled scipy brownian and the top hit was the doc for
>> numpy.random.wald,
>> > but said doc has a "tone" th
Hi,
I'm not sure if this is of much interest but it's been really puzzling
me so I thought I'd ask.
In an earlier post I described how I was surprised a simple f2py
wrapped fortran bincount was 4x faster than np.bincount - but that
differential only seemed to be on my mac; on moving to linux they
Way to go Robert!
QOTW: "I consider "import *" the first error to be fixed ..." - Robert
Kern, author of PyFlakes, a potential replacement for Pylint and Pychecker,
on his personal style
http://groups.google.com/group/comp.lang.python/msg/5bf77b21b3b0caf2
Python 2.6.4 is out; it fixes s
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Gabriel wrote:
> Hi it`s my first time.
>
> I have a trouble whit fft.
> For example:
> s = sin(wt)
>
> f = abs(fft(s))
>
> In f I have the module the fft(s) which should be equal to 1 for w but
> it's 1000 for w. All values is multiplied by 1000.
>
Hi it`s my first time.
I have a trouble whit fft.
For example:
s = sin(wt)
f = abs(fft(s))
In f I have the module the fft(s) which should be equal to 1 for w but it's
1000 for w. All values is multiplied by 1000.
Someone know why?
Thank's
--
Gabriel
Antes de imprimir, pensá en tu responsab
On Mon, Nov 2, 2009 at 6:31 PM, Reckoner wrote:
> thanks for the suggestion! I will look into it. The other thing is
> that the numpy arrays in question are actually embedded in another
> object. When I convert the numpy arrays into plain lists, and then
> cPickle them, there is no problem with an
Hi,
I am using numpy distutils to build the extension modules of a project, which
have been so far written in C, and wrapped by SWIG. Now I would like to try
cython (as everynone!), but still be able to use the numpy distutils. I have
found the thread [1], which offers some solution, but it doe
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