[Numpy-discussion] Vote: complex64 vs complex128 (was: first impressions with numpy

[Sebastian Haase]

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"

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