Ondrej Certik wrote:
It is maybe easier to learn how to work with different clones, but
once you start working with lots of patches and you need to reclone
all the time, then it's the wrong approach to work, as it takes lots
of time to copy the whole repository on the disk.
Yes, *I* know how
On Thu, Apr 9, 2009 at 10:45 PM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Ondrej Certik wrote:
It is maybe easier to learn how to work with different clones, but
once you start working with lots of patches and you need to reclone
all the time, then it's the wrong approach to work,
On Thu, 09 Apr 2009 01:31:33 -0500, Robert Kern wrote:
On Thu, Apr 9, 2009 at 01:29, Anne Archibald peridot.face...@gmail.com
wrote:
What's wrong with np.amin(a,axis=-1)[...,np.newaxis]?
It's cumbersome, particularly when you have axis=arbitrary_axis.
Quite right. It would nice to be
It gives a perfect parabolic shape that looks very nice, but somewhat
unrealistic. I'd like to scale the unit vectors by a random length (which
can just be a uniform distribution). I tried scaling the unit vector n*n*3
array by a random n*n array, but that didn't work, obviously. Help?
On Fri, Apr 10, 2009 at 01:42, Ian Mallett geometr...@gmail.com wrote:
It gives a perfect parabolic shape that looks very nice, but somewhat
unrealistic.
Parabolic? They should be spherical.
I'd like to scale the unit vectors by a random length (which
can just be a uniform distribution). I
On Thu, Apr 9, 2009 at 11:46 PM, Robert Kern robert.k...@gmail.com wrote:
Parabolic? They should be spherical.
The particle system in the last screenshot was affected by gravity. In the
absence of gravity, the results should be spherical, yes. All the vectors
are a unit length, which produces
On Fri, Apr 10, 2009 at 01:58, Ian Mallett geometr...@gmail.com wrote:
On Thu, Apr 9, 2009 at 11:46 PM, Robert Kern robert.k...@gmail.com wrote:
Parabolic? They should be spherical.
The particle system in the last screenshot was affected by gravity. In the
absence of gravity, the results
This seems to work:
vecs = Numeric.random.standard_normal(size=(self.size[0],self.size[1],3))
magnitudes = Numeric.sqrt((vecs*vecs).sum(axis=-1))
uvecs = vecs / magnitudes[...,Numeric.newaxis]
randlen = Numeric.random.random((self.size[0],self.size[1]))
randuvecs =
2009/4/10 Ian Mallett geometr...@gmail.com:
The vectors are used to jitter each particle's initial speed, so that the
particles go in different directions instead of moving all as one. Using
the unit vector causes the particles to make the smooth parabolic shape.
The jitter vectors much then
Hi,
I would like to create a ndarray view on an array of ctypes.Structure.
(reason: see below).
The problem is that the structure size is not falling on an alignment
boundary and thus the size is bigger than its parts.
A sample showing the problem:
import numpy as N
from ctypes import *
class
On Fri, Apr 10, 2009 at 02:17, Anne Archibald peridot.face...@gmail.com wrote:
2009/4/10 Ian Mallett geometr...@gmail.com:
The vectors are used to jitter each particle's initial speed, so that the
particles go in different directions instead of moving all as one. Using
the unit vector causes
Hi,
I would like to create a ndarray view on an array of ctypes.Structure.
(reason: see below).
The problem is that the structure size is not falling on an alignment
boundary and thus the size is bigger than its parts.
A sample showing the problem:
import numpy as N
from ctypes import *
class
Ondrej Certik wrote:
On Thu, Apr 9, 2009 at 10:45 PM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Ondrej Certik wrote:
It is maybe easier to learn how to work with different clones, but
once you start working with lots of patches and you need to reclone
all the time, then it's the
Eric Firing wrote:
This is simply wrong. Mercurial uses hard links for cloning a repo that
is on the same disk, so it is faster and much more space-efficient than
copying the files.
Yes, but maybe Ondrej talks about an older hg version ? Hg could not
handle NTFS hardlink for some time, but
Roland Schulz wrote:
The is no align or aligned option to frombuffer. What is the best way
to tell numpy to align the data as the C-struct/ctypes.Stucture array is?
You could add a 'fake' field in between to get the right alignment, maybe ?
import numpy as N
from ctypes import *
class
On Fri, Apr 10, 2009 at 1:07 AM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Eric Firing wrote:
This is simply wrong. Mercurial uses hard links for cloning a repo that
is on the same disk, so it is faster and much more space-efficient than
copying the files.
Yes, but maybe Ondrej
Eric Firing wrote:
Speaking to Josef: does tortoise-hg provide a satisfactory windows gui,
from your standpoint?
Another solution may be eclipse integration. I don't know if that would
work for Josef, but there is a git plugin for eclipse, and I can at
least clone branches from a remote
Hello,
I import numpy module (numpy-1.0.4) on a x86_64 machine (on which I don't
have any root privileges) after having install it thanks to python setup.py
install --prefix=../numpy. In this manner, I obtain a 64 bits compatible
numpy library.
(the numpy folder used for install is created just
Vincent Thierion wrote:
Hello,
I import numpy module (numpy-1.0.4) on a x86_64 machine (on which I
don't have any root privileges) after having install it thanks to
python setup.py install --prefix=../numpy. In this manner, I obtain
a 64 bits compatible numpy library.
(the numpy folder used
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--
Message: 8
Date: Fri, 10 Apr 2009 03:17:58 -0400
From: Anne Archibald peridot.face...@gmail.com
Subject: Re: [Numpy-discussion] Another
On Fri, Apr 10, 2009 at 5:13 AM, Matthieu Brucher
matthieu.bruc...@gmail.com wrote:
2009/4/10 David Cournapeau da...@ar.media.kyoto-u.ac.jp:
Eric Firing wrote:
Speaking to Josef: does tortoise-hg provide a satisfactory windows gui,
from your standpoint?
Another solution may be eclipse
Hi Josef,
josef.p...@gmail.com wrote:
I tried out mercurial one year ago, including the eclipse plugin, but
it didn't work very well compared to the svn plugin. And since at that
time mercurial to svn connection wasn't very good, I gave up (I have
all my work in svn). I haven't used it since
David Cournapeau wrote:
we're really better off with a system with
good tool support on all platforms.
Why ? We are not python, where many core developers work on windows.
As I understand it there is a dearth of Python developers on Windows,
too... But anyway, we probably want MORE Windows
* I use Python for a bunch of other stuff Matlab is not suitable for --
This is my argument about usability and tool support. A few years back,
CVS was a standard, now SVN is. I like that I can use the same tool to
contribute to a whole bunch of OS projects, and I use it to manage all
my
Intel mac.
Python 2.6.
I'm trying to start using numpy and scipy, and am having trouble.
I'm trying to install numpy following the instructions on
http://scipy.org/Installing_SciPy/Mac_OS_X .
when I give the python setup.py build command, it doesn't work. Here's my
interaction at the
On Sat, Apr 11, 2009 at 1:43 AM, Christopher Barker
chris.bar...@noaa.gov wrote:
David Cournapeau wrote:
we're really better off with a system with
good tool support on all platforms.
Why ? We are not python, where many core developers work on windows.
As I understand it there is a dearth
David Cournapeau wrote:
Eric Firing wrote:
Speaking to Josef: does tortoise-hg provide a satisfactory windows gui,
from your standpoint?
Another solution may be eclipse integration. I don't know if that would
work for Josef, but there is a git plugin for eclipse, and I can at
least
On Sat, Apr 11, 2009 at 2:30 AM, John Seales praxbaf...@hotmail.com wrote:
Intel mac.
Python 2.6.
I'm trying to start using numpy and scipy, and am having trouble.
I'm trying to install numpy following the instructions on
http://scipy.org/Installing_SciPy/Mac_OS_X .
when I give the python
Hi John,
First, did you build your own Python 2.6 or install from a binary?
When you type python at the command prompt, which python runs? (You
can find this out by running which python from the command line.)
Second, it appears that numpy is *already installed* for a non-apple
python 2.5
Has anybody implemented the LARS[1] (least angle regression) algorithm for
regularized regression in Python or in C binded in Python?
I am about to start in such endeaviour, but I wanted to check if someone
was willing to share code under a BSD-compatible license.
Gaël
[1]
loading the numpy or scipy module doesn't work, whether I do it at the terminal
command line or at the python interpreter.
Anyone know what else might be wrong?
Date: Sat, 11 Apr 2009 03:10:07 +0900
From: courn...@gmail.com
To: numpy-discussion@scipy.org
Subject: Re: [Numpy-discussion]
John Seales wrote:
loading the numpy or scipy module doesn't work, whether I do it at the
terminal command line or at the python interpreter.
Anyone know what else might be wrong?
we're going to have to know a lot more about what you've done so far, but;
a) unless you have a strong reason
Well, there is a LOT to consider here, and I have virtually no
experience with any of the DVCSs, so I don't have any conclusions to
offer, but:
Windows support matters.
Tool support matters.
Those should be taken into consideration when making a choice.
-CHB
--
Christopher Barker, Ph.D.
Per Sedeberg wrapped LARS (through RPy) in PyMVPA.
Later he mentioned about a C implementation he found and it
seems he's going to work on it:
http://lists.alioth.debian.org/pipermail/pkg-exppsy-pymvpa/2009q1/000404.html
I guess you should contact him.
Emanuele
On Fri, April 10, 2009 10:04
Hi there,
The documentation for numpy.ma.argmin says:
Returns array of indices of the maximum values along the given axis.
Aside from probably meaning to say the 'minimum' values, it also
doesn't seem to return an array:
a
array([1, 1, 1, 5, 5])
numpy.ma.argmax(a)
3
numpy.ma.argmin(a)
0
David Cournapeau wrote:
Eric Firing wrote:
This is simply wrong. Mercurial uses hard links for cloning a repo that
is on the same disk, so it is faster and much more space-efficient than
copying the files.
Yes, but maybe Ondrej talks about an older hg version ? Hg could not
handle NTFS
Hi,
I enjoyed this quote from http://www.eecs.harvard.edu/~cduan/technical/git/
Summary: You can only really use Git if you understand how Git works.
When I first started using Git, I read plenty of tutorials, as well
as the user manual. Though I picked up the basic usage patterns and
commands,
Hello
Apologies for the incorrect posting before.
The problem was that I was not using an array for the true condition and
instead was using a scalar.
Frank
___
Numpy-discussion mailing list
Numpy-discussion@scipy.org
Adam Oliner wrote:
The documentation for numpy.ma.argmin says:
Returns array of indices of the maximum values along the given axis.
Aside from probably meaning to say the 'minimum' values,
that's a typo...
it also doesn't seem to return an array:
it does if you use a higher rank array,
Frank Peacock wrote:
Hello
I would like to know whether there is a simple way to construct a constant
array of tuples:
How do I construct an array of size (width*height) where each element is
(w,x,y,z)
Is this what you want?
a = np.empty((5,6), dtype=np.object)
for i in
Hello
I am trying to use the where function on a numpy array which was obtained
from an image using the asarray function. The code is as follows:
from numpy import *
from Image import *
im=open(a.gif)
im2=im.convert(RGBA)
a2 = asarray(im2,uint8)
c = zeros((140,90,4),uint8)
c[:,:] =
On Fri, Apr 10, 2009 at 5:47 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
I enjoyed this quote from http://www.eecs.harvard.edu/~cduan/technical/git/
Summary: You can only really use Git if you understand how Git works.
When I first started using Git, I read plenty of tutorials, as
Matthew Brett wrote:
Hi,
I enjoyed this quote from http://www.eecs.harvard.edu/~cduan/technical/git/
Summary: You can only really use Git if you understand how Git works.
Matthew,
Nice link, thank you.
Another couple of quotes from that tutorial:
Important note: if there are any
On Sat, Apr 11, 2009 at 10:30 AM, josef.p...@gmail.com wrote:
I updated my eclipse so I can try out the git eclipse plugin. Except
for a description how to clone a github repository and push back to
it, I didn't find much information on the internet.
FWIW, I tried the eclipse plugin
On Sat, Apr 11, 2009 at 10:59 AM, Eric Firing efir...@hawaii.edu wrote:
Important note: if there are any uncommitted changes when you run git
checkout, Git will behave very strangely. The strangeness is predictable
and sometimes useful, but it is best to avoid it. All you need to do, of
David Cournapeau wrote:
On Sat, Apr 11, 2009 at 10:59 AM, Eric Firing efir...@hawaii.edu wrote:
Important note: if there are any uncommitted changes when you run git
checkout, Git will behave very strangely. The strangeness is predictable
and sometimes useful, but it is best to avoid it. All
On Sat, Apr 11, 2009 at 6:16 AM, Eric Firing efir...@hawaii.edu wrote:
On my laptop, switching back and forth between the two active branches
of mpl takes about 3 s for the first and 2 s for the second, timed by
counting in my head.
I think Ondrej cares more about being faster than most of
On Sat, Apr 11, 2009 at 11:53 AM, Eric Firing efir...@hawaii.edu wrote:
Please understand, I am not trying to bash git--it is clearly an
enormously powerful and well-made tool--and I apologize if my posts have
appeared to tend in that direction.
No need to apologize, I think I used the work
On Fri, Apr 10, 2009 at 8:17 PM, David Cournapeau courn...@gmail.comwrote:
On Sat, Apr 11, 2009 at 10:59 AM, Eric Firing efir...@hawaii.edu wrote:
Important note: if there are any uncommitted changes when you run git
checkout, Git will behave very strangely. The strangeness is predictable
On Fri, Apr 10, 2009 at 8:33 PM, John Seales praxbaf...@hotmail.com wrote:
The link to FFTW on http://www.scipy.org/Installing_SciPy/Mac_OS_X is
broken.
Is it needed to do Fourier Transforms? My main motivation for using numpy
and scipy is to do spectral analysis of sound.
No, it isn't
On Sat, Apr 11, 2009 at 12:37 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Fri, Apr 10, 2009 at 8:17 PM, David Cournapeau courn...@gmail.com
wrote:
On Sat, Apr 11, 2009 at 10:59 AM, Eric Firing efir...@hawaii.edu wrote:
Important note: if there are any uncommitted changes
On Sat, Apr 11, 2009 at 5:42 AM, Christopher Barker
chris.bar...@noaa.gov wrote:
Last I checked, the binary for ScipPy was broken, you'll need to get
gfortran and compile it yourself, as the page tells you.
This should really be fixed, it is not acceptable to have a broken
binary. I will
On Fri, Apr 10, 2009 at 9:49 PM, David Cournapeau courn...@gmail.comwrote:
On Sat, Apr 11, 2009 at 12:37 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Fri, Apr 10, 2009 at 8:17 PM, David Cournapeau courn...@gmail.com
wrote:
On Sat, Apr 11, 2009 at 10:59 AM, Eric Firing
On Sat, Apr 11, 2009 at 1:14 PM, Christopher Barker
chris.bar...@noaa.gov wrote:
David Cournapeau wrote:
chris.bar...@noaa.gov wrote:
Last I checked, the binary for ScipPy was broken, you'll need to get
gfortran and compile it yourself, as the page tells you.
This should really be fixed, it
David Cournapeau wrote:
On Sat, Apr 11, 2009 at 6:16 AM, Eric Firing efir...@hawaii.edu wrote:
On my laptop, switching back and forth between the two active branches
of mpl takes about 3 s for the first and 2 s for the second, timed by
counting in my head.
I think Ondrej cares more about
Ticket #1083 http://projects.scipy.org/numpy/ticket/1083,
In [3]: np.array([324938], dtype=np.uint8)
Out[3]: array([74], dtype=uint8)
i.e., 324938 is silently downcast. This is common numpy behavior, but I
wonder if this case shouldn't be an exception. Or in general, if conversion
from out of
On Sat, Apr 11, 2009 at 1:00 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
I think hg works in a similar manner to git. At least Linus said so in that
old google talk ;)
Yes, compared to svn, hg, git and bzr are quite similar in a way. I
think the differences still matter, though.
On Fri, Apr 10, 2009 at 11:25 PM, David Cournapeau courn...@gmail.comwrote:
On Sat, Apr 11, 2009 at 1:00 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
I think hg works in a similar manner to git. At least Linus said so in
that
old google talk ;)
Yes, compared to svn, hg, git and
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