[Numpy-discussion] [enhancement] sum_angle() and sum_polar()
Ralf Gommers
ralf.gommers at googlemail.com
Mon May 28 14:02:54 EDT 2012
On Mon, May 28, 2012 at 7:58 PM, Travis Oliphant <travis at continuum.io>wrote:
> I didn't see anyone respond to this, but looking over his simple and
> elegant solution it seems like a useful addition to the 2-d functions
> available in NumPy as it works with any 2-d array (image or matrix) and
> does a transformation on the indices in order to organize the sum.
>
> It is not a general-purpose interpolating approach where the 2-d array is
> viewed as samples of an underlying continuous function.
>
> Are their other thoughts?
>
> This was discussed (not finished yet) on scipy-dev:
http://thread.gmane.org/gmane.comp.python.scientific.devel/16538/focus=16541.
Ralf
> -Travis
>
>
>
> On Mar 7, 2012, at 12:39 PM, Robert Jördens wrote:
>
> > Hi everyone,
> > I am proposing to add the the two following functions to
> > numpy/lib/twodim_base.py:
> >
> > sum_angle() computes the sum of a 2-d array along an angled axis
> > sum_polar() computes the sum of a 2-d array along radial lines or
> > along azimuthal circles
> >
> > https://github.com/numpy/numpy/pull/230
> >
> > Comments?
> >
> > When I was looking for a solution to these problems of calculating
> > special sums of 2-d arrays I could not find anything and it took me a
> > while to figure out a (hopefully) useful and consistent algorithm.
> > I can see how one would extend these to higher dimensions but that
> > would preclude using bincount() to do the heavy lifting.
> > Looking at some other functions, the doctests might need to be split
> > into real examples and unittests.
> >
> > Best,
> >
> > --
> > Robert Jordens.
> > _______________________________________________
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> > NumPy-Discussion at scipy.org
> > http://mail.scipy.org/mailman/listinfo/numpy-discussion
>
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