[SciPy-Dev] schedule for scipy 0.9.0 [scipy.interpolate]
Fri Nov 12 10:48:09 CST 2010
On Fri, Nov 12, 2010 at 11:21 AM, Pauli Virtanen <firstname.lastname@example.org> wrote:
> Fri, 12 Nov 2010 23:45:39 +0800, Ralf Gommers wrote:
>> I'm interested to hear what you think about releasing scipy 0.9.0 in the
>> near future, and if you have any things that should go in or be fixed
>> for 0.9.0. If we want to keep to a ~6 month release schedule then we
>> should branch around the end of this month and have a final release in
> Sounds OK to me. I think we should try to time it so that it gets in
> Some tasks that would be nice to do before that in scipy.interpolate:
> - Write a interpolation routine for N-d *structured* interpolation.
> (ndimage.map_coordinates is difficult to find, so it would be useful
> to have an interpolation-oriented routine for that in
> - Deprecate interp2d, as it does not work well for most problems,
> and its calling convention is a bit wonky. People should use either
> `griddata` or splines depending on what they want to do.
> - Clean up the spline routines:
> - We have two incompatible implementations for 1-D splines there,
> on from FITPACK, and a pure-Python one by Travis. I don't remember
> if one of them has an advantage over the other.
> I think that either `splmake` the one should be deprecated, or
> the spline representation it uses made compatible with FITPACK.
> - Deprecate the bispl* and spl* routines, leaving only the
> object-oriented interface.
These are in some cases more robust and give better control, the
classes look a bit "messy". I would only depreciate them if the
classes get some makeover.
> - Clean up the OO API. Currently it does nasty things such as
> changing the class of the objects on the fly. I'd perhaps go
> forward by deprecating the current API, and starting with a clean
> Some additional ones that would be nice, but I'm not sure if I can make
> it in this timeframe:
> - Natural neighbor interpolation in N-d.
> I currently know how to do this up to 3-d, but doing it in N-d takes
> still more thinking (the difficult part is computing the volume of
> the N-d Voronoi polyhedron).
> Pauli Virtanen
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