Just tested the lastest SVN and it works as advertised. Thanks
Travis.
An unrelated question: why does this work for arrays but not recarrays?
In [24]: mydescriptor = [('age',float64),('Nchildren',int8),('weight',float32)]
In [25]: a = array([(64,2,75.0),(25,0,60.0)], dtype=mydescriptor)
In [26]: a = recarray([(64,2,75.0),(25,0,60.0)], dtype=mydescriptor)
---------------------------------------------------------------------------
exceptions.TypeError Traceback (most recent
call last)
/Users/esheldon/<ipython console>
TypeError: __new__() got an unexpected keyword argument 'dtype'
I understand that I could use the formats and names keywords, but
this seems a little inconsistent.
Erin
On 7/10/06, Travis Oliphant <[EMAIL PROTECTED]> wrote:
> John Parejko wrote:
>
> >Howdy! I just wanted to voice my agreement with this statment by Erin
> >Sheldon:
> >
> > > I brought up the issue a while back of having a simple way to
> > > access the field names of an array. The quick summary: accessing
> > > field names has some oddness that needs cleaning up.
> >
> >Sometimes a['name'], sometimes a.field('name'). I vastly prefer the first
> >version; it has become my favored way of dealing with my FITS and ASCII
> >data. But using the bracket notation sometimes gives an error, and I
> >haven't quite figured out what the circumstances are.
> >
> >
>
> Bracketed version should never give an error. If you see it, it's a bug.
>
> >Also, "for name in a.dtype.fields:" or "for name in a.fields:" would be
> >very, very handy.
> >
> >
> You can do this, now but each key in the fields dictionary might not be
> unique because titles will also be keys in the dictionary.
>
> A unique list of ordered names can now (in NumPy SVN) be obtained using
>
> for name in a.dtype.names
>
>
> -Travis
>
>
>
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