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 <pine@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 _______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-leave@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: evgeny.burovskiy@gmail.com