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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