thanks, On Mon, Nov 14, 2011 at 09:24, Chris.Barker <chris.bar...@noaa.gov> wrote: > On 11/11/11 8:28 PM, Craig Yoshioka wrote: >> I once wrote a generic n-dimensional binning routine in C that I >> could find if anyone is interested in integrating it into numpy... it >> didn't do size increases though... and I think I implemented it so >> that binning by a non-divisible factor trimmed the extras. It was >> very-very fast though. > > And I've got one written in Cython. I'd been thinking of contributing it > to ndimage, but never got around to it -- but I'd be glad to share. Let > me know if you want it.
Chris, I think this would be useful, can you make it available publicly? >>> I think the usefulness of the rebin function is to be simple and fast, >>> and the best would be to implement it in the core numpy, as a simple >>> method for smoothing and reshaping, > > Does it have common use=-cases outside image processing? If not, then > no, it shouldn't be in numpy. actually the most common use is outside of image processing, we typically use it when we have data that come from a detector scanning the sky in circles, so you have a row for each scan. It is nice to apply a quick and dirt decimation of the dataset by binning it. It is such a simple function that would make more sense, to me, to have in numpy. In image processing I imagine you typically want to apply window functions, so for that ndimage is more appropriate. cheers, andrea _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
