I am trying to use Numpy/Scipy for a class I am teaching this summer.
I have one student running Vista. Is there an installer that works
for Vista? Running the exe file from webpage gives errors about not
being able to create various folders and files. I think this is from
Vista being very restr
Hold on again, I think I did it: it works on my BSN Intel Mac and Chris
is about to test it on his not-so-new PPC Mac. Assuming I built a
viable product, how do I put it in the right place (i.e., @
http://pythonmac.org/packages/py25-fat/index.html)? Thanks!
DG
David L Goldsmith wrote:
> OK,
OK, I'm having difficulties, so if anyone can beat me to it, that'd be
great.
DG
David L Goldsmith wrote:
> Since I have to install a numpy on my new Mac, I'll try. Chris, you
> have a pre-Intel Mac to try it out on, correct? Anyone: are there
> issues I should be aware of besides building i
Hi,
Some time ago I made an improvement in speed on the numexpr version of
PyTables so as to accelerate the operations with unaligned arrays
(objects that can appear quite commonly when dealing with columns of
recarrays, as PyTables does).
This improvement has demostrated to work correctly and fl
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Thank you both for your excellent suggestions. I'll re-read fftpack.c and try
to puzzle out what to do next.
Thanks,
Ben
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i
On 24/05/07, Benjamin M. Schwartz <[EMAIL PROTECTED]> wrote:
> I know that FFTW can be compiled to run in single precision. What would it
> take
> to make NumPy use a single-precision FFT library?
>
> If absolutely necessary, it might be possible to ship a patched version of
> NumPy, but any oth
Benjamin M. Schwartz wrote:
> I am working on two programs using NumPy for the OLPC project. In both cases
> the performance is limited by the FFT. The OLPC machine uses a AMD Geode CPU,
> which is generally slow, but especially bad at double-precision floating
> point.
> It would be a major impr
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I am working on two programs using NumPy for the OLPC project. In both cases
the performance is limited by the FFT. The OLPC machine uses a AMD Geode CPU,
which is generally slow, but especially bad at double-precision floating point.
It would be a ma
David L Goldsmith wrote:
> Since I have to install a numpy on my new Mac, I'll try. Chris, you
> have a pre-Intel Mac to try it out on, correct? Anyone: are there
> issues I should be aware of besides building it Universal? ANSI v.
> Unicode?
Build against the Universal python 2.4 and 2.5 di
Sven Schreiber wrote:
>> (Zar, Jerrold H. 1984. Biostatistical Analysis. Prentice Hall.)
>
> Is that the seminal work on the topic ;-)
Of course not, just a reference I have handy -- though I suppose there
are any number of them on the web too.
>> Of course, the median of an odd number of integ
Since I have to install a numpy on my new Mac, I'll try. Chris, you
have a pre-Intel Mac to try it out on, correct? Anyone: are there
issues I should be aware of besides building it Universal? ANSI v.
Unicode? Should I build against older versions of Python? If so, how
far back should I go
Christopher Barker schrieb:
> Matthew Brett wrote:
>>> Regarding dtype, I disagree. Why do you want to force the result to be a
>>> float?
>
> well, what's the median of (1, 2, 3, 4) ?
>
> I learned it is 2.5
>
> (Zar, Jerrold H. 1984. Biostatistical Analysis. Prentice Hall.)
Is that the semina
Anyone have plans to build the latest release to put up on pythonmac?
I could do it, but I'm busy, not the most qualified, and don't want to
duplicate effort. If no one else is, though, I'll try to fit it in.
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
NOAA/
Matthew Brett wrote:
>> Regarding dtype, I disagree. Why do you want to force the result to be a
>> float?
well, what's the median of (1, 2, 3, 4) ?
I learned it is 2.5
(Zar, Jerrold H. 1984. Biostatistical Analysis. Prentice Hall.)
Of course, the median of an odd number of integers would be an
On 5/24/07, Michael Williams <[EMAIL PROTECTED]> wrote:
> In [3]: import scipy
> /Users/mike/Library/Python/2.5/site-packages/scipy/misc/__init__.py:25:
> DeprecationWarning: ScipyTest is now called NumpyTest; please update your code
> test = ScipyTest().test
>
> In [4]: scipy.__version__
> Out[
> Regarding dtype, I disagree. Why do you want to force the result to be a
> float?
Fair comment - I really meant the axis, and axis=None difference.
Matthew
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Matthew Brett schrieb:
> Hi,
>
> Does anyone else find this unexpected?
>
> In [93]: import numpy as N
> In [94]: a = N.arange(10).reshape(5,2)
> In [95]: N.mean(a)
> Out[95]: 4.5
> In [96]: N.median(a)
> Out[96]: array([4, 5])
>
> i.e. shouldn't median have the same axis, dtype, default axis=No
Hi,
Does anyone else find this unexpected?
In [93]: import numpy as N
In [94]: a = N.arange(10).reshape(5,2)
In [95]: N.mean(a)
Out[95]: 4.5
In [96]: N.median(a)
Out[96]: array([4, 5])
i.e. shouldn't median have the same axis, dtype, default axis=None
behavior as mean?
Best,
Matthew
__
I tried to write my own prova2.pyf and this is it:
!-*- f90 -*-
! Note: the context of this file is case sensitive.
python module prova
interface
function incr(x)
real, dimension(2), intent(c) :: incr
real, dimensi
Lorenzo,
you can indeed use f2py to write extensions around some C code:
http://cens.ioc.ee/projects/f2py2e/usersguide/index.html
http://www.scipy.org/Cookbook/f2py_and_NumPy
I think you should also be able to find some actual examples in the scipy
sources...
On Thu, May 24, 2007 at 03:50:40PM +0200, Gael Varoquaux wrote:
> On Thu, May 24, 2007 at 03:40:18PM +0200, lorenzo bolla wrote:
> >I hope this is the right mailing list to post my question to.
> >I'm trying to make some easy C code working with Python by using f2py.
> I can't help too muc
On Thu, May 24, 2007 at 03:40:18PM +0200, lorenzo bolla wrote:
>I hope this is the right mailing list to post my question to.
>I'm trying to make some easy C code working with Python by using f2py.
I can't help too much on that as I gave up using f2Py to wrap C a while
ago, but I think you
On Wed, May 23, 2007 at 05:31:50PM -0600, Travis Oliphant wrote:
> I'm pleased to announce the release of NumPy 1.0.3
numpy 1.0.3 is causing a warning on scipy 0.5.2:
In [1]: import numpy
In [2]: numpy.__version__
Out[2]: '1.0.3'
In [3]: import scipy
/Users/mike/Library/Python/2.5/site-packages
On 5/24/07, Albert Strasheim <[EMAIL PROTECTED]> wrote:
Hello all
Me vs the flags again. I found another case where the flags aren't what I
would expect:
In [118]: x = N.array(N.arange(24.0).reshape(6,4), order='F')
In [119]: x
Out[119]:
array([[ 0., 1., 2., 3.],
[ 4., 5.,
Hi all,
I hope this is the right mailing list to post my question to.
I'm trying to make some easy C code working with Python by using f2py.
For example, take the test.c file:
--
typedef struct data {
int a;
double b;
} DATA;
/*function with struct*/
DAT
Ah, thanks for the tip. That did the trick.
Cheers
-Brian
On 5/24/07, Pearu Peterson <[EMAIL PROTECTED]> wrote:
Brian Hawthorne wrote:
> Hello,
> I'm having a bit of trouble with numpy testing not finding my tests. It
> seems like a bug, but maybe it's a subtle feature. I constructed the
Hello all
Me vs the flags again. I found another case where the flags aren't what I
would expect:
In [118]: x = N.array(N.arange(24.0).reshape(6,4), order='F')
In [119]: x
Out[119]:
array([[ 0., 1., 2., 3.],
[ 4., 5., 6., 7.],
[ 8., 9., 10., 11.],
[ 12.,
Brian Hawthorne wrote:
> Hello,
> I'm having a bit of trouble with numpy testing not finding my tests. It
> seems like a bug, but maybe it's a subtle feature. I constructed the
> simplest possible straw man to illustrate my problem (attached as foo.tgz).
> The directory structure looks like thi
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