[Numpy-discussion] Vote: complex64 vs complex128

[Colin J. Williams]

Sebastian Haase wrote:

> Hi,
> Could we start another poll on this !?
>
> I think I would vote
> +1  for complex32 & complex64  mostly just because of "that's what I'm 
> used to"

+1 Most people look to the number to give a clue as to the precision of 
the value.

Colin W.

>
> But I'm curious to hear what others "know to be in use" - e.g. Matlab 
> or IDL !
>
> - Thanks
> Sebastian Haase
>
>
>
> Travis Oliphant wrote:
>
>> Sebastian Haase wrote:
>>
>>> Tim Hochberg wrote:
>>> <snip>
>>>
>>>> This would work fine if repr were instead:
>>>>
>>>>    dtype([('x', float64), ('z', complex128)])
>>>>
>>>> Anyway, this all seems reasonable to me at first glance. That said, 
>>>> I don't plan to work on this, I've got other fish to fry at the 
>>>> moment.
>>>
>>>
>>>
>>> A new point: Please remind me (and probably others): when did it get 
>>> decided to introduce 'complex128' to mean numarray's complex64
>>> and the 'complex64' to mean numarray's complex32 ?
>>
>>
>> It was last February (i.e. 2005) when I first started posting 
>> regarding the new NumPy.   I claimed it was more consistent to use 
>> actual bit-widths.   A few people, including Perry, indicated they 
>> weren't opposed to the change and so I went ahead with it.
>>
>> You can read relevant posts by searching on 
>> numpy-discussion at lists.sourceforge.net
>>
>> Discussions are always welcome.  I suppose it's not too late to 
>> change something like this --- but it's getting there...
>>
>> -Travis
>
>
>
>
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