Very nice overview! One question and one suggestion:
1. Is integer wraparound guaranteed for signed ints, or is it an implementation detail? For unsigned ints, sure, it's straight from a C standard; what about signed types however. 2. It'd be nice to explicitly stress that dtype=float corresponds to a C double, not a C float type. This frequently trips people trying to interface with C or Cython (in my experience) вт, 28 дек. 2021 г., 11:12 Lev Maximov <[email protected]>: > >I think timedelta64 is missing. Is that intentional? > Yes, thank you! It has stuck in my todo list. Still thinking on the best > way to include it. > > Btw, does it make sense to include the masked arrays? I know Pandas uses > something > like a masked array for representing null values in the integer columns. > Does anyone use > NumPy masked arrays nowadays? > > > On Tue, Dec 28, 2021 at 3:11 AM Eric Firing <[email protected]> wrote: > >> On 2021/12/27 9:32 AM, Lev Maximov wrote: >> > > I'm surprised no one has mentioned it already: int and uint are >> > reversed in the first table. >> > Not anymore! I know I'm susceptible to this type of blunders ) >> > >> > Thank you for your kind attention! >> > >> > I've made a few more fixes here and there and added a couple of >> > illustrations. Looks more or less finished to me. >> > Giving it away to the editors. >> > >> > Best regards, >> > Lev >> > >> >> Lev, >> >> I think timedelta64 is missing. Is that intentional? >> >> Eric >> _______________________________________________ >> NumPy-Discussion mailing list -- [email protected] >> To unsubscribe send an email to [email protected] >> https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ >> Member address: [email protected] >> > _______________________________________________ > NumPy-Discussion mailing list -- [email protected] > To unsubscribe send an email to [email protected] > https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ > Member address: [email protected] >
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