On Wed, Feb 26, 2020 at 5:27 PM <josef.p...@gmail.com> wrote: > great another object array > > np.asarray([round(x_i.item()) for x_i in np.array([1, 2.5, 2e20, 2e200])]) > array([1, 2, 200000000000000000000, > > > 199999999999999993946624442502072331894900655091004725296483501900693696871108151068392676809412503736055024831947764816364271468736556969278770082094479755742047182133579963622363626612334257709776896], > dtype=object) > > > I would rather have numpy consistent with numpy than with python >
Since round() (and the __round__() interface) is part of Python and not numpy, there is nothing in numpy to be consistent with. We only implement __round__() for the scalar types. -- Robert Kern
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