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 <
nsg27@case.edu> wrote:
Hi all,
I opened a Pull Request to include this package in numpy, along with the associated sliding window function in this PR.
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
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