Hello all
> > In this case, I think one wants strides[0] (the row stride) to return
> 40.
> >
>
> Why do you think that?
>
> All sliced arrays keep the same strides information as their
> "parents". This is the essence of a "view". The striding is exactly
> the same as before (the data hasn't
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
hi all,
motivated by the lack of free documentation for NumPy, with some
friends, we started writing a tutorial, that we would like to see in
scipy.org. After some time, the project have started to loose its
initial impetus. Now, we put the current unfinished version in
http://www.scipy.org/Tenta
Hi,
As is the way posting to a news group stirs the brain cell into
activity and the problem is solved. or rather shifted.
I've downloaded the candidate version of mingw32 and using that to
build numpy/scipy works, or rather it builds the extensions for Python 2.3
I believe that there are stil
David Huard wrote:
> Here is a quick benchmark between numpy's unique, unique1d and sasha's
> unique:
>
> x = rand(10)*100
> x = x.astype('i')
>
> %timeit unique(x)
> 10 loops, best of 3: 525 ms per loop
>
> %timeit unique_sasha(x)
> 100 loops, best of 3: 10.7 ms per loop
>
> timeit unique1
Travis Oliphant schrieb:
> I've been playing a bit with ctypes and realized that with a little
> help, it could be made much easier to interface with NumPy arrays.
> Thus, I added a ctypes attribute to the NumPy array. If ctypes is
> installed, this attribute returns a "conversion" object othe
Hi Fernando,
Fernando Perez schrieb:
[...]
> So I'd like to know if SWIG is really the best way out in this particular
> case
> (and any advice on taking advantage of the array interface via SWIG would be
> appreciated), or if ctypes or pyrex could be used here. I'm quite happy
> using
> pyr
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 swas misleading: I mean that this limitation should probably be removed,
because it prevents a lot of things one could do.
Thomas
Hi all,
I'm testing some computations with float96 at the moment and right now I have
problems with polyfit raising a KeyError for the keycode 'g', which is
floatxx with xx>64.
I am getting a KeyError using polyfit on some float96 values. The used
Routines seem to know nothing about this type
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 swas misleading: I mean that this limitation should probably be
> removed, because it p
On Mon, 03 Jul 2006 16:41:11 -0600
Fernando Perez <[EMAIL PROTECTED]> wrote:
>
> So I'd like to know if SWIG is really the best way out in this particular
> case
> (and any advice on taking advantage of the array interface via SWIG would be
> appreciated), or if ctypes or pyrex could be used h
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 swas misleading: I mean that this limitation shou
I've found some matlab code that seems to do the same sort of
thing. Interestingly enough it just uses trigonomotry to do find the
x,y positions in the matrix that correspond to the ray at a particular
angle. I had origionally discarded this idea because I thought there
must be a more efficient way
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 ctype
Hi all,
i made some speed tests using the sin-function and the %-operation to compare
Numeric, numpy 0.9.8 and numpy 0.9.9.2732.
As result the latest numpy version seems to be very slow in comparison to the
two other candidates.
Results (in usec per loop):
Hi John, Here is a patch to fix the first error in test_twodim_base.py.I'm sorry I can't help you with the rest. David2006/7/4, John Carter <
[EMAIL PROTECTED]>:Hi,As is the way posting to a news group stirs the brain cell into
activity and the problem is solved. or rather shifted.I've downloaded t
Hi!
With numpy-0.9.9.2726, I do this:
>>> x = arange(4)
>>> y = x[newaxis, :]
I would expect both arrays to be contiguous:
>>> x.flags.contiguous, y.flags.contiguous
(True, False)
Shouldn't y be contiguous? Maybe it's because of the strange strides:
>>> y.strides
(0, 4)
>>> y.strides =
Hi all,
reading the thread "Ransom proposals" I was wondering why there isn't a
ndarray.dot() method? There is already a scipy.sparse.dot() so this
would fit nicely in the whole idea of polymorphism.
Bart
Using Tomcat but need to do more? Need to support web services, security?
Get stuff don
On Tue, 4 Jul 2006 12:10:18 +0200
Jan-Matthias Braun <[EMAIL PROTECTED]> wrote:
> Hi all,
>
> I'm testing some computations with float96 at the moment and right now I
> have problems with polyfit raising a KeyError for the keycode 'g', which is
> floatxx with xx>64.
Use longdouble instead of fl
Hello. I have a very simple question. I would like
to generate a number of random variables from the chi2
distribution. If I wanted these for the normal
distribution, the code could be
stats.norm.rvs(size=5,loc=100,scale=1). But
stats.chi2.rvs(size=5,df=10,loc=0,scale=1) or
stats.chi2.rvs(df=10
Some things to note:The mask is copy-on-write. Don't mess with that. You can't just poke values into an existing mask, it may be shared with other arrays.I do not agree that there is any 'inconsistency'. It may be someone's concept of the class that if there is a mask then at least one value is on,
Just wanted to make one last effort get a .T attribute for arrays, so that you can flip axes with a simple "a.T" instead of "a.transpose()", as with numpy matrix objects.If I recall, the main objection raised before was that there are lots of ways to transpose n-dimensional data.
Fine, but the fact
Slight correction.{*} except that negative axes for swapaxes doesn't seem work currently, so instead it would need to be something like:
a.transpose( a.shape[:-2] + (a.shape[-1],a.shape[-2]) ) with a check for "if ndim > 1", of course.Apparently a.swapaxes(-2,-1) does work, and it does exac
numpy-discussion:您好!
你可以查阅www.cmpi.cn,快去看！
致
礼!
中国金属工业网
[EMAIL PROTECTED]
2006-07-05
Using Tomcat but need to do more? Need to support web services, security?
Get stuff done quickly with pre-integrated technology to make your jo
I tried to get MayaVi and VTK working under Win32/MSVC.Net a while back failed miserably.Is there some simple, out-of-the-box, precompiled, no-brains-required solution for creating 3D plots? Preferably one that doesn't require compiling anything.
--Bill
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