David said the bug was fixed in the trunk, which you don't have; the
development state of the main source code, or the trunk, is the latest
state available, and releases are always a bit behind trunk since it
would be kind of ridiculous to make a new release every time someone
commits a change. You
frank wang wrote:
> Hi, I am new user from matlab world. So I always compare with matlab.
> in my code, i have a large array with about 10 data. when I perform
>
> c=fft(b)
> d=abs(c)
> plot(d)
>
> I got good response. however, when i try to execute:
> plot(abs(fft(b)))
Can you post the ex
You should use absolute (a ufunc) and not abs (internal python function):
>>> plot(absolute(fft(b)))
Nadav.
-הודעה מקורית-
מאת: [EMAIL PROTECTED] בשם frank wang
נשלח: ד 24-ספטמבר-08 08:21
אל: Discussion of Numerical Python
נושא: [Numpy-discussion] performance of the numpy
Hi, I am n
Hi, I am new user from matlab world. So I always compare with matlab. in my
code, i have a large array with about 10 data. when I perform
c=fft(b)
d=abs(c)
plot(d)
I got good response. however, when i try to execute:
plot(abs(fft(b)))
it takes forever and i have to kill the operation.
My numpy version is 1.1.1. I just downloaded and installed. It is the same
result. Also, when I use the list, I got similar error said list does not have
the find command.
---> 14 fid=loadtxt(fname,comments='"',dtype='|S4',converters={cols:lambda
s:int(s,16)},usecols=[cols]) 15 16
My numpy version is numpy-1.1.1-win32-superpack-python2.5.exe. It is the newest
release. By the way, in Python, how can I check numpy version?
Thanks
Frank
Date: Tue, 23 Sep 2008 08:42:00 -0400From: [EMAIL PROTECTED]: [EMAIL
PROTECTED]: Re: [Numpy-discussion] loadtxt error
This bug has bee
On Sep 23, 6:48 pm, joep <[EMAIL PROTECTED]> wrote:
> A possible solution would be in
>
> http://bazaar.launchpad.net/~pauli-virtanen/scipy/pydocweb/revision/386
>
> It seems to be possible to be used in the same way when iter_modules
> is not available.
> The usage in ``_lookfor_generate_cache``
A possible solution would be in
http://bazaar.launchpad.net/~pauli-virtanen/scipy/pydocweb/revision/386
It seems to be possible to be used in the same way when iter_modules
is not available.
The usage in ``_lookfor_generate_cache`` in lib/utils.py looks almost
exactly the same
as in the above re
On Tue, Sep 23, 2008 at 15:34, joep <[EMAIL PROTECTED]> wrote:
> I just fell over this:
>
np.min(np.inf,1000)
> 1.#INF
min(np.inf,1000)
> 1000
>
np.max(-np.inf,1000)
> -1.#INF
max(-np.inf,1000)
> 1000
>
> Is this known behavior?
It is known that that's not the API of numpy.min(
On Tue, Sep 23, 2008 at 1:35 PM, Robert Kern <[EMAIL PROTECTED]> wrote:
> On Tue, Sep 23, 2008 at 15:18, joep <[EMAIL PROTECTED]> wrote:
>> Hi,
>> I was trying to use lookfor on python 2.4 and got an exception with
>> np.lookfor because of a missing method in pkgutil that was added in
>> python 2.5
On Tue, Sep 23, 2008 at 15:18, joep <[EMAIL PROTECTED]> wrote:
> Hi,
> I was trying to use lookfor on python 2.4 and got an exception with
> np.lookfor because of a missing method in pkgutil that was added in
> python 2.5.
Hmmm. Unfortunately, that's an intrinsic part of the lookfor()
functionalit
I just fell over this:
>>> np.min(np.inf,1000)
1.#INF
>>> min(np.inf,1000)
1000
>>> np.max(-np.inf,1000)
-1.#INF
>>> max(-np.inf,1000)
1000
Is this known behavior?
I finally realized, that I have to do this (the doc string says array
like)
>>> np.min([np.inf,1000])
1000.0
>>> np.max([-np.inf,10
Hi,
I was trying to use lookfor on python 2.4 and got an exception with
np.lookfor because of a missing method in pkgutil that was added in
python 2.5.
see the following session
>>> np.lookfor('range')
Traceback (most recent call last):
File "", line 1, in ?
np.lookfor('range')
File "C:\P
On Tue, Sep 23, 2008 at 07:41:17PM +0200, Stéfan van der Walt wrote:
> That's a great way to fix the problem: if we call it `grid`, we can
> turn it into a function and accept the more generic arguments, whilst
> having keywords to choose between open and meshed grids.
If you make it a function yo
On Tue, Sep 23, 2008 at 09:39:53AM +0200, David Kaplan wrote:
> I would note that there is nothing in the API breakage that prevents
> doing what Gael mentions. The only change is that:
> > > X = mgrid[0:4, 0:4, 0:4]
> would be replaced with:
> X = asarray( mgrid[ 0:4, 0:4, 0:4 ] )
Doesn't thi
2008/9/23 Robert Kern <[EMAIL PROTECTED]>:
> The only time it would need to return a list is with the new
> functionality. So expose the new functionality with a different object
> instead of cramming it into an existing object with an incompatible
> API.
That's a great way to fix the problem: if
On Tue, Sep 23, 2008 at 02:39, David Kaplan <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I would note that there is nothing in the API breakage that prevents
> doing what Gael mentions. The only change is that:
>
>> > X = mgrid[0:4, 0:4, 0:4]
>
> would be replaced with:
>
> X = asarray( mgrid[ 0:4, 0:4, 0
This bug has been fixed in the trunk a couple of weeks ago.
Cheers,
David
On Mon, Sep 22, 2008 at 8:10 PM, Pierre GM <[EMAIL PROTECTED]> wrote:
> On Monday 22 September 2008 19:56:47 frank wang wrote:
> > This error is caused that the usecols is a tuple and it does not have
> find
> > command.
Michael Abshoff wrote:
>
> So it looks like gfortran 4.2.4 on Solaris + "-O3" miscompiles lapack,
> which is honestly unbelievable considering netlib.org lapack+BLAS are
> the yard stick for any Fortran compiler.
>
Well, not many people use gfortran on Solaris, I would guess. Another
problem
David Cournapeau wrote:
> Michael Abshoff wrote:
Hi David,
>> Sorry for not being precise: Both python and numpy have been build with
>>
>> OPT=-DNDEBUG -g -O0 -fwrapv -Wall -Wstrict-prototypes
>
> Hm, strange. I don't know why you can't get any debug info, then.
well, it looks like some sort o
Hi,
I would note that there is nothing in the API breakage that prevents
doing what Gael mentions. The only change is that:
> > X = mgrid[0:4, 0:4, 0:4]
would be replaced with:
X = asarray( mgrid[ 0:4, 0:4, 0:4 ] )
On the other hand, not making this change makes for a strange and ugly
impleme
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