I think having some function for common cases like moving average and spectrogram would be good. Having a jumping-off point and simple reference for testing against could encourage someone to make a faster implementation down the road.
-Todd On Mon, Aug 26, 2019 at 12:24 AM Stephan Hoyer <sho...@gmail.com> wrote: > I would be very interested to see the “sliding window view” function > merged into np.lib.stride_tricks. > > I don’t think it makes sense to add a suite of dedicated functions for > sliding window calculations that wrap that function. If we are going to go > down the path of adding sliding window calculations into a NumPy, they > should use efficient algorithms, like those found in the “bottleneck” > package. > > Best, > Stephan > > On Sun, Aug 25, 2019 at 3:33 PM Nicholas Georgescu <ns...@case.edu> wrote: > >> Hi all, >> >> I opened a Pull Request >> <https://link.getmailspring.com/link/58478f5e-3390-4c6d-8aa4-0b8724fc0...@getmailspring.com/0?redirect=https%3A%2F%2Fgithub.com%2Fnumpy%2Fnumpy%2Fpull%2F13923&recipient=bnVtcHktZGlzY3Vzc2lvbkBweXRob24ub3Jn> >> to >> include this package in numpy >> <https://link.getmailspring.com/link/58478f5e-3390-4c6d-8aa4-0b8724fc0...@getmailspring.com/1?redirect=https%3A%2F%2Fpypi.org%2Fproject%2Fmvgavg%2F&recipient=bnVtcHktZGlzY3Vzc2lvbkBweXRob24ub3Jn>, >> along with the associated sliding window function in this PR >> <https://link.getmailspring.com/link/58478f5e-3390-4c6d-8aa4-0b8724fc0...@getmailspring.com/2?redirect=https%3A%2F%2Fgithub.com%2Fnumpy%2Fnumpy%2Fissues%2F7753&recipient=bnVtcHktZGlzY3Vzc2lvbkBweXRob24ub3Jn> >> . >> >> The function picks the fastest method to do a moving average if there is >> no weighting, but with weights it resorts to the second-fastest method >> which has an easier implementation. It also contains a binning option >> which cuts the number of points down by a factor of n rather than by >> subtracting n. The details are in the package documentation and PR. >> >> Thanks, >> Nicholas >> [image: Sent from Mailspring] >> _______________________________________________ >> NumPy-Discussion mailing list >> NumPy-Discussion@python.org >> https://mail.python.org/mailman/listinfo/numpy-discussion >> > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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