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 <lev.maxi...@gmail.com>:

> >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 <efir...@hawaii.edu> 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
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