Is there a python package out there that supports fitting a set of 2D
points to an ellipse? I haven't been able to find one.
Thanks!
Ron
6  6634  on********@hotm ail.com (Ron Kneusel) writes: Is there a python package out there that supports fitting a set of 2D
points to an ellipse? I haven't been able to find one.
This is a set of points with some noise (scatter), right?
A not-very-thoughtful answer: a sledgehammer method is to throw an
implementation of a standard nonlinear least-squares algorithm at the
problem. For example, SciPy contains a wrapper of MINPACK's nonlinear
LS solver . There are several implementations of the same
(Levenburg-Marquardt) algorithm in pure Python floating around, too.
If there's no scatter, it's time to dig out your old algebra textbooks
:-)
John
John J. Lee wrote: on********@obvi ous.com (Ron Kneusel) writes:
Is there a python package out there that supports fitting a set of 2D
points to an ellipse? I haven't been able to find one.
This is a set of points with some noise (scatter), right?
A not-very-thoughtful answer: a sledgehammer method is to throw an
implementation of a standard nonlinear least-squares algorithm at the
problem. For example, SciPy contains a wrapper of MINPACK's nonlinear
LS solver . There are several implementations of the same
(Levenburg-Marquardt) algorithm in pure Python floating around, too.
A quick comment in case it's not obvious: an ellipse is not a function in
Cartesian coordinates, and most standard LS solvers expect a function. So
it's probably best to convert things over to polar before feeding the data to
the LS solver.
f
Ron Kneusel wrote: Is there a python package out there that supports fitting a set of 2D
points to an ellipse? I haven't been able to find one.
It's not so easy; it's a nonlinear orthogonal distance regression problem.
I know of a FORTRAN package and I myself have a (more general) package written
in Scilab ( a Matlab "clone" )
If you have just a few datasets, I'll compute a fit for you.
But implementing it in Python would be much work.
--
Helmut Jarausch
Lehrstuhl fuer Numerische Mathematik
RWTH - Aachen University
D 52056 Aachen, Germany
Aloha,
Ron Kneusel wrote: Is there a python package out there that supports fitting a set of 2D
points to an ellipse? I haven't been able to find one.
See http://www.magic-software.com/Approximation.html
Here are C++ Sources, you will need a interface like SWIG for using this
in python.
Wishing a happy day
LOBI
On Wed, 14 Jul 2004, Fernando Perez wrote: A quick comment in case it's not obvious: an ellipse is not a function in
Cartesian coordinates, and most standard LS solvers expect a function. So
it's probably best to convert things over to polar before feeding the data to
the LS solver.
You could break both the ellipse and the data into two pieces (say, y>=K
and y<K). Polar coordinates might get you more uniform results, though.
Helmut Jarausch wrote: Ron Kneusel wrote:
Is there a python package out there that supports fitting a set of 2D
points to an ellipse? I haven't been able to find one.
It's not so easy; it's a nonlinear orthogonal distance regression problem.
I know of a FORTRAN package and I myself have a (more general) package
written
in Scilab ( a Matlab "clone" )
I wrote a wrapper to the FORTRAN ODRPACK.
http://starship.python.net/crew/kern...odr-0.6.tar.gz
If you have just a few datasets, I'll compute a fit for you.
But implementing it in Python would be much work. This thread has been closed and replies have been disabled. Please start a new discussion. Similar topics | |
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