FWIW, scipy has a small utility just for this:
https://github.com/scipy/scipy/blob/main/scipy/_lib/_util.py#L36
Not to be used in performance critical loops, of course.
Cheers,
Evgeni
сб, 18 февр. 2023 г., 17:02 David Pine <p...@nyu.edu>:
> I agree. The problem can be avoided in a very inelegant way by turning
> warnings off before calling where() and turning them back on afterward,
> like this
>
> warnings.filterwarnings("ignore", category=RuntimeWarning)
> result = np.where(x == 0.0, 0.0, 1./data)
> warnings.filterwarnings("always", category=RuntimeWarning)
>
> But it would be MUCH nicer if there were an optional keyword argument in
> the where() call.
>
> Thanks,
> Dave
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