On Mon, Oct 24, 2011 at 6:57 AM, Nadav Horesh nad...@visionsense.com wrote:
I am trying to replace an old code (biliteral filter) that rely on
ndimage.generic_filter with the neighborhood iterator. In the old code, the
generic_filter generates a contiguous copy of the neighborhood, thus the
* Iterator mode: Mirror. Does the mode make a huge difference?
* I can not find any reference to PyArrayNeightborhoodIter_Next2d, where can I
find it?
* I think that making a copy on reset is (maybe in addition to the creation),
since there is a reset for every change of the parent iterator, and
Nathaniel Smith writes:
[...]
Is the idea to continue the discussion and rework the API while it is in
master, delaying the next release for as long as it takes to achieve
consensus?
Well, for those who missed it, I think the first thing to do should be to
carefully read and discuss the
On Mon, Oct 24, 2011 at 10:48 AM, Nadav Horesh nad...@visionsense.com wrote:
* Iterator mode: Mirror. Does the mode make a huge difference?
It could, at least in principle. The underlying translate function is
called often enough that a slight different can be significant.
* I can not find any
* I'll try to implement the 2D iterator as far as far as my programming
expertise goes. It might take few days.
* There is a risk in providing a buffer pointer, and for my (and probably most)
use cases it is better for the iterator constructor to provide it. I was
thinking about the
We are glad to announce release 3.2 of the Modular toolkit for Data
Processing (MDP).
MDP is a Python library of widely used data processing algorithms
that can be combined according to a pipeline analogy to build more
complex data processing software. The base of available algorithms
includes
On Mon, Oct 24, 2011 at 1:23 PM, Nadav Horesh nad...@visionsense.com wrote:
* I'll try to implement the 2D iterator as far as far as my programming
expertise goes. It might take few days.
I am pretty sure the code is in the history, if you are patient enough
to look for it in git history. I
On Sun, Oct 23, 2011 at 11:23 PM, Wes McKinney wesmck...@gmail.com wrote:
On Sun, Oct 23, 2011 at 8:07 PM, Eric Firing efir...@hawaii.edu wrote:
On 10/23/2011 12:34 PM, Nathaniel Smith wrote:
like. And in this case I do think we can come up with an API that will
make everyone happy, but
On Mon, Oct 24, 2011 at 8:40 AM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Sun, Oct 23, 2011 at 11:23 PM, Wes McKinney wesmck...@gmail.comwrote:
On Sun, Oct 23, 2011 at 8:07 PM, Eric Firing efir...@hawaii.edu wrote:
On 10/23/2011 12:34 PM, Nathaniel Smith wrote:
like. And
24.10.2011 16:40, Charles R Harris kirjoitti:
[clip]
The missing data functionality looks far more like R than numpy.ma
... and masked arrays must be explicitly requested by the user [1].
The MA stuff can leak through only if the user makes use of a library
that returns masked results (or
My use case is a biliterl filter: It is a convolution-like filter used mainly
in image-processing, which may use relatively large convolution kernels (in the
order of 50x50). I would like to run the inner loop (iteration over the
neighbourhood) with a direct indexing (in a cython code) rather
On Mon, Oct 24, 2011 at 10:54 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, Oct 24, 2011 at 8:40 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sun, Oct 23, 2011 at 11:23 PM, Wes McKinney wesmck...@gmail.com
wrote:
On Sun, Oct 23, 2011 at 8:07 PM, Eric Firing
On Mon, Oct 24, 2011 at 11:12 AM, Wes McKinney wesmck...@gmail.com wrote:
On Mon, Oct 24, 2011 at 10:54 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, Oct 24, 2011 at 8:40 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sun, Oct 23, 2011 at 11:23 PM, Wes
Charles R Harris writes:
[...]
It might useful to have a way of setting global defaults, or something like a
with statement. These are the sort of things that can be adjusted based on
experience. For instance, I'm thinking skipna=1 is the natural default for the
masked arrays.
I already
Hi all,
new OpenOpt feature is available: Multifactor analysis tool for
experiment planning (in physics, chemistry, biology etc). It is based
on numerical optimization solver BOBYQA, released in 2009 by Michael
J.D. Powell, and has easy and convenient GUI frontend,
I found the 2d iterator definition active in numpy 1.6.1. I'll test it.
Nadav
From: numpy-discussion-boun...@scipy.org [numpy-discussion-boun...@scipy.org]
On Behalf Of David Cournapeau [courn...@gmail.com]
Sent: 24 October 2011 16:04
To: Discussion of
Hi guys,
I have a question regarding subclassing of the numpy.matrix class.
I read through the wiki page,
http://docs.scipy.org/doc/numpy/user/basics.subclassing.html
and tried to subclass numpy.matrix, I find that if I override the
__finalize_array__ method I have problems using the sum method
-- Forwarded message --
From: akshar bhosale akshar.bhos...@gmail.com
Date: Sun, Oct 23, 2011 at 1:05 PM
Subject: Re: libmkl_lapack error in numpy
To: numpy-discussion@scipy.org
Hi,
libmkl_lapack.so is added in site.cfg and now the matrix function is not
giving an error, but
Hi,
I just ran into this on a PPC machine:
In [1]: import numpy as np
In [2]: np.__version__
Out[2]: '2.0.0.dev-4daf949'
In [3]: res = np.longdouble(2)**64
In [4]: res
Out[4]: 18446744073709551616.0
In [5]: 2**64
Out[5]: 18446744073709551616L
In [6]: res-1
Out[6]: 36893488147419103231.0
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