So is the consensus that we don't accept any tags at all (not even temporarily)? Would that break too much existing code?
Cheers, Sankarshan On Apr 1, 2014, at 2:50 PM, Alexander Belopolsky <ndar...@mac.com> wrote: > > On Tue, Apr 1, 2014 at 1:12 PM, Nathaniel Smith <n...@pobox.com> wrote: > In [6]: a[0] = "garbage" > ValueError: could not convert string to float: garbage > > (Cf, "Errors should never pass silently".) Any reason why datetime64 > should be different? > > datetime64 is different because it has NaT support from the start. NaN > support for floats seems to be an afterthought if not an accident of > implementation. > > And it looks like some errors do pass silently: > > >>> a[0] = "1" > # not a TypeError > > But I withdraw my suggestion. The closer datetime64 behavior is to numeric > types the better. > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion -- Sankarshan Mudkavi Undergraduate in Physics, University of Waterloo www.smudkavi.com
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