Hello Dear Members of Numpy.
I experienced some problems using numpy when i tried to compile it
with py2exe. How this is done?
Thanks and Regrads
Matthew
--
Kollox Ghal Xejn
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Matthew Brett wrote:
Hi,
http://projects.scipy.org/scipy/numpy/browser/branches/build_with_scons/
Excellent idea - and congratulations to David for all his hard work -
but this is a large change, and I wonder if we need more time with the
scons build system in the svn trunk?
Hi,
I was wondering whether there was any plan to change the anomalous
interface of median, for example compared to 'mean', 'min', 'max'
np.mean(a, axis=None, dtype=None, out=None)
whereas:
np.median(m)
'median(m) returns a median of m along the first dimension of m.'
I think it would be a
I have to agree with Lorenzo. There is no natural ordering of the
complex numbers. Any way you order them is arbitrary.
Accepting this, the question then becomes what should NumPy do when
the user tries to do order comparison operations on complex numbers.
The problem is that NumPy is
This still occurs in numpy 1.0.3.1 so must have been
fixed between that and your 1.0.4-5 version.
By the way the memory problem crashes my Intel Mac
Book Pro (system 10.4.11) with the gray screen and
black dialog box telling me to restart my computer. A
very UN-unix like and UN-Mac like way of
On Tue, Jan 29, 2008 at 02:58:15PM +0100, Oriol Vendrell wrote:
Hi all,
I've noticed something that looks like an odd behaviour in array.argsort().
# test1 -
from numpy import array
while True:
a=array([8.0,7.0,6.0,5.0,4.0,2.0])
i=a.argsort()
#
Matthew Brett wrote:
Hi,
http://projects.scipy.org/scipy/numpy/browser/branches/build_with_scons/
Excellent idea - and congratulations to David for all his hard work -
but this is a large change, and I wonder if we need more time with the
scons build system in the svn trunk? Not to say
I noticed that:
min([1+1j,-1+3j])
gives 1+1j in matlab (where for complex, min(abs) is used)
but gives -1+3j in numpy (where lexicographic order is used)
shouldn't this be mentioned somewhere in Numpy for Matlab users webpage?
--
Lorenzo Bolla
[EMAIL PROTECTED]
http://lorenzobolla.emurse.com/
Stuart Brorson wrote:
I have to agree with Lorenzo. There is no natural ordering of the
complex numbers. Any way you order them is arbitrary.
Accepting this, the question then becomes what should NumPy do when
the user tries to do order comparison operations on complex numbers.
The
I'd rather say arbitrary.
On 1/29/08, Neal Becker [EMAIL PROTECTED] wrote:
lorenzo bolla wrote:
I noticed that:
min([1+1j,-1+3j])
gives 1+1j in matlab (where for complex, min(abs) is used)
but gives -1+3j in numpy (where lexicographic order is used)
shouldn't this be mentioned
Hi,
http://projects.scipy.org/scipy/numpy/browser/branches/build_with_scons/
Excellent idea - and congratulations to David for all his hard work -
but this is a large change, and I wonder if we need more time with the
scons build system in the svn trunk? Not to say it should not be in
1.0.5,
Hi all,
I've noticed something that looks like an odd behaviour in array.argsort().
# test1 -
from numpy import array
while True:
a=array([8.0,7.0,6.0,5.0,4.0,2.0])
i=a.argsort()
# ---
# test2 -
from numpy import array
lorenzo bolla wrote:
I noticed that:
min([1+1j,-1+3j])
gives 1+1j in matlab (where for complex, min(abs) is used)
but gives -1+3j in numpy (where lexicographic order is used)
shouldn't this be mentioned somewhere in Numpy for Matlab users webpage?
It should be stated that they're
This feature request has been repeatedly asked before (e.g. 6 months
ago). The relevant ticket (#558, although this only asks for axis
support) mentions a milestone 1.1. I would like to ask if it could be
moved somewhat higher on the priority list.
I provided some code for axis support
Hi,
median moved mediandim0
implementation of medianwithaxis or similar, with same call
signature as mean.
Deprecation warning for use of median, and return of mediandim0 for
now. Eventual move of median to return medianwithaxis.
This would confuse people even more, I'm afraid.
On Jan 29, 2008, at 11:51 AM, Joris De Ridder wrote:
This feature request has been repeatedly asked before (e.g. 6 months
ago). The relevant ticket (#558, although this only asks for axis
support) mentions a milestone 1.1. I would like to ask if it could be
moved somewhat higher on the
On Jan 29, 2008 7:16 PM, Lou Pecora [EMAIL PROTECTED] wrote:
Hmmm... Interesting. I am using Python 2.4.4. It
would be nice to have other Mac people with same/other
Python and numpy versions try the argsort bug code.
I don't see any memory leak with the test code.
Mac OS X 10.5.1
Python
Considering that many of the statistical functions (mean, std, median)
must iterate over all the data and that people (or at least myself)
typically call them sequentially on the same data, it may make sense to
make a super-function with less repetition.
Instead of:
x_mean = np.mean(x)
x_median =
Hmmm... Interesting. I am using Python 2.4.4. It
would be nice to have other Mac people with same/other
Python and numpy versions try the argsort bug code.
-- Lou Pecora
--- Francesc Altet [EMAIL PROTECTED] wrote:
A Tuesday 29 January 2008, Lou Pecora escrigué:
This still occurs in numpy
Hi,
All that is going to be merged are the hooks necessary to allow his
numscons package to work.
This is not a big change, as far as I know.
Yes, sorry, I misunderstood - and had thought the plan was to move to
the numscons build system as the default. Now I've understood it, it
sounds
Andrew Straw wrote:
Considering that many of the statistical functions (mean, std, median)
must iterate over all the data and that people (or at least myself)
typically call them sequentially on the same data, it may make sense to
make a super-function with less repetition.
Hi,
median moved mediandim0
implementation of medianwithaxis or similar, with same call
signature as mean.
But - for the median function change - do we agree that this should be
changed? I think it is a significant wart in the numpy API, and has
caught quite a few people...
Matthew
Hello,
Is there a way to read frames of a movie in python? Ideally,
something as simple as:
for frame in movie('mymovie.mov'):
pass
where frame is either a 2-D list, or a numpy array? The movie format
can be anything, because I can probably convert things, but most
convenient
On Dienstag 29 Januar 2008, Brian Blais wrote:
Is there a way to read frames of a movie in python? Ideally,
something as simple as:
for frame in movie('mymovie.mov'):
pass
where frame is either a 2-D list, or a numpy array? The movie format
can be anything, because I can probably
Matthew Brett wrote:
Hi,
median moved mediandim0
implementation of medianwithaxis or similar, with same call
signature as mean.
But - for the median function change - do we agree that this should be
changed? I think it is a significant wart in the numpy API, and has
caught
On 30 Jan 2008, at 00:32, Travis E. Oliphant wrote:
Matthew Brett wrote:
Hi,
median moved mediandim0
implementation of medianwithaxis or similar, with same call
signature as mean.
But - for the median function change - do we agree that this should
be
changed? I think it is a
Joris De Ridder wrote:
On 30 Jan 2008, at 00:32, Travis E. Oliphant wrote:
Matthew Brett wrote:
Hi,
median moved mediandim0
implementation of medianwithaxis or similar, with same call
signature as mean.
But - for the median function change - do we agree
On Jan 29, 2008, at Jan 29:8:24 PM, Andrew Straw wrote:
I'd suggest pyglet's avbin library.
great suggestion! I never would have thought to do that. Do you
happen to know how to convert a
player.texture into a numpy.array?
there is ImageData, but I can't seem to figure out how to do
I'm pretty sure there's code floating around the pyglet mailing list.
I'd be happy to add it to
http://code.astraw.com/projects/motmot/wiki/pygarrayimage if it seems
reasonable. (pygarrayimage goes from numpy array to pyglet texture).
Brian Blais wrote:
On Jan 29, 2008, at Jan 29:8:24 PM, Andrew
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