nonlinear interpolation

[Michele Simionato]

I want to interpolate a data distribution with a function depending on
various parameters; the function
can be a Gaussian, a Breit-Wigner, a custom function. Where should I
look? I am getting lost
between matplotlib, numeric, numpy, scientific python, scipy, etc.
etc.
Any pointer would be well received :)

Michele Simionato

[Paul Rubin]

Re: nonlinear interpolation

"Michele Simionato" <michele.simion ato@gmail.comwr ites:

Any pointer would be well received :)

Dunno about those libs but it helps to understand the mathematical
options. Numerical Recipes by Teukolsky et al has understandable,
cookbook-like advice about this stuff. I'm told that true numerics
gurus scoff at it but it's at least a start.

[Michele Simionato]

Re: nonlinear interpolation

On Mar 12, 5:28 pm, Paul Rubin <http://phr...@NOSPAM.i nvalidwrote:

"Michele Simionato" <michele.simion ...@gmail.comwr ites:

Any pointer would be well received :)

>
Dunno about those libs but it helps to understand the mathematical
options. Numerical Recipes by Teukolsky et al has understandable,
cookbook-like advice about this stuff. I'm told that true numerics
gurus scoff at it but it's at least a start.

No, I know about Numerical Recipes, I want an already-made solution.
For instance I found one here

http://dirac.cnrs-orleans.fr/ScientificPython/ScientificPythonManual/Scientific.Functions.LeastSquares-module.html

but I wonder if I should use numpy or something else, since
I am not following the progresses in numerical Python these days.

P.S. sorry for the multiple post, google tricked me.

[Robert Kern]

Re: nonlinear interpolation

Michele Simionato wrote:

On Mar 12, 5:28 pm, Paul Rubin <http://phr...@NOSPAM.i nvalidwrote:

>"Michele Simionato" <michele.simion ...@gmail.comwr ites:

>>Any pointer would be well received :)

>Dunno about those libs but it helps to understand the mathematical
>options. Numerical Recipes by Teukolsky et al has understandable,
>cookbook-like advice about this stuff. I'm told that true numerics
>gurus scoff at it but it's at least a start.

>
No, I know about Numerical Recipes, I want an already-made solution.
For instance I found one here

http://dirac.cnrs-orleans.fr/ScientificPython/ScientificPythonManual/Scientific.Functions.LeastSquares-module.html

but I wonder if I should use numpy or something else, since
I am not following the progresses in numerical Python these days.

It sounds like you want nonlinear curve fitting rather than interpolation. I do
recommend using numpy as the underlying array package, but it does not provide
any curve fitting itself. The 2.7 branch of ScientificPytho n can work with numpy
instead of Numeric, if you like. See the README.

http://sourcesup.cru.fr/projects/scientific-py/

scipy also has a variety of curve fitting routines at the expense of a more
involved install. scipy.optimize. leastsq() might be sufficient for you, but the
scipy.odr package is much more flexible (but get scipy from SVN for that; the
latest release has some unfortunate bugs in that package).

--
Robert Kern

"I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpret it as though it had
an underlying truth."
-- Umberto Eco