Received from Erik Rigtorp on Fri, Dec 31, 2010 at 08:52:53AM EST: > Hi, > > I just send a pull request for some faster NaN functions, > https://github.com/rigtorp/numpy. > > I implemented the following generalized ufuncs: nansum(), nancumsum(), > nanmean(), nanstd() and for fun mean() and std(). It turns out that > the generalized ufunc mean() and std() is faster than the current > numpy functions. I'm also going to add nanprod(), nancumprod(), > nanmax(), nanmin(), nanargmax(), nanargmin(). > > The current implementation is not optimized in any way and there are > probably some speedups possible. > > I hope we can get this into numpy 2.0, me and people around me seems > to have a need for these functions. > > Erik > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
How does this compare to Bottleneck? http://pypi.python.org/pypi/Bottleneck/ L.G. _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
