On Nov 21, 2007, at 10:07 AM, Georg Holzmann wrote:
> BTW: what is the difference between PyArray_SimpleNewFromData() and
> PyArray_FromDimsAndData() ?
> (I don't have this book ...)
PyArray_SimpleNewFromData() is the new version and
PyArray_FromDimsAndData() is the old version :-)
Travis ma
>
>> a) Can you guys tell me briefly about the kind of problems you are
>> tackling with numpy and scipy?
>
> I'm using python with numpy,scipy, pytables and matplotlib for data
> analysis in the field of high energy particle physics. Most of the
> work is histograming millions of events, fitting
Andrew Straw wrote:
> Christopher Barker wrote:
>>> For data interpolation: 2D-Delaunay triangulation based method (I think you
>>> can find one in the scipy cookbook).
>> yup -- but then you need the decimation to remove the "unneeded"
>> points. I don't think Scipy has that.
>
> The sandbox d
Brian Granger wrote:
> On Nov 20, 2007 7:33 AM, Lou Pecora <[EMAIL PROTECTED]> wrote:
>
>
>> Lately, I've been coding up a package to solved
>> Schrodinger's Equation for 2D arbitrarily shaped,
>> infinite wall potentials. I've settled on a Boundary
>> Element Approach to get the eigenfunctions
On 11/20/07, Anne Archibald posted:
> Subject:
> Re: [Numpy-discussion] OT: A Way to Approximate and Compress a 3D Surface
> From:
> "Anne Archibald" <[EMAIL PROTECTED]>
> Date:
> Tue, 20 Nov 2007 17:13:31 -0500
> To:
> "Discussion of Numerical Python"
>
> To:
> "Discussion of Numerical Python"
Christopher Barker wrote:
>> For data interpolation: 2D-Delaunay triangulation based method (I think you
>> can find one in the scipy cookbook).
>
> yup -- but then you need the decimation to remove the "unneeded"
> points. I don't think Scipy has that.
The sandbox does, thanks to Robert Kern.
Georg Holzmann wrote:
> As chris said, I need to make an example:
> http://grh.mur.at/software/numpy2carray.tar.gz
Ah, I see now:
/// @return internal big data without copying
void getBigData(double **mtx, int *rows, int *cols)
{
*rows = drows; *cols = dcols;
*mtx = very_big_da
Hallo!
As chris said, I need to make an example:
http://grh.mur.at/software/numpy2carray.tar.gz
I added the following class-example:
class_example.h: the C++ code
class_example.i: the SWIG interface file
class_example_usage.py: example usage in python
And some comments:
Bill Spotz schrieb:
> H
On Nov 20, 2007 7:33 AM, Lou Pecora <[EMAIL PROTECTED]> wrote:
> Lately, I've been coding up a package to solved
> Schrodinger's Equation for 2D arbitrarily shaped,
> infinite wall potentials. I've settled on a Boundary
> Element Approach to get the eigenfunctions in these
> systems. The goal is
Nadav Horesh wrote:
> Wouldn't a random or regular subsampling of the set will do the job?
> I have N tabulated data points { (x_i, y_i, z_i) } that describes a 3D
> surface. The surface is pretty "smooth."
If it's equally "smooth" everywhere, then yes, a subsampling would work
fine, but I'm g
David.Goldsmith wrote:
> Chris, just to be clear, this is addressed to the OP, correct?
yes, but if anyone else want to come up with one, that would work too.
-Chris
>> What would be great is a simple trimmed down example -- a
>> small-as-you-can-make-it class with a method that shows what you
> a) Can you guys tell me briefly about the kind of problems you are
> tackling with numpy and scipy?
I'm using python with numpy,scipy, pytables and matplotlib for data
analysis in the field of high energy particle physics. Most of the
work is histograming millions of events, fitting functions t
Wouldn't a random or regular subsampling of the set will do the job?
For data interpolation: 2D-Delaunay triangulation based method (I think you can
find one in the scipy cookbook).
Nadav.
-Original Message-
From: [EMAIL PROTECTED] on behalf of Geoffrey Zhu
Sent: Tue 20-Nov-07 19:50
On Saturday 17 November 2007 03:50, Rahul Garg wrote:
> a) Can you guys tell me briefly about the kind of problems you are
> tackling with numpy and scipy?
Organizing jobs in computational chemistry, and parsing/analyzing the output.
To some extent, also some actual calculations and visualization
Rahul Garg wrote:
> It would be awesome if you guys could respond to some of the following
> questions :
> a) Can you guys tell me briefly about the kind of problems you are
> tackling with numpy and scipy?
I am using both numpy and scipy to solve PDEs in the context of finite
element method (ela
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