A Dimecres 13 Desembre 2006 23:27, Curious Jan escrigué:
> Actually, I just found the problem.
> Apparently, changing the table type from numpy to numarray fixes the
> problem.
> So it appears that I just encountered the problem because I was trying to
> run a quick test over a subsample, which I got from a slicing operation.
> And it looks like the result of that slicing operation differs depending on
> the type of the table (numpy vs. numarray).
> Ah, heck, I don't need slicing, so I'll just keep iterating over the whole
> tree.
Yeah. The problem was that 'x' was a 'numpy' recarray, and not a
'nestedrecarray' (a PyTables' object descendant from a numarray
recarray object). In 'nestedrecarray' flavor, the way to access nested
records is x['Baryon1/Gamma'], but for numpy recarrays you sould use
the idiom x['Baryon1']['Gamma'] instead.
In PyTables 2.x, the numpy idiom should be documented as it will
become the default way to access nested fields. It's nice that you
brought this to our attention.
Cheers,
>
> On 12/13/06, Curious Jan <[EMAIL PROTECTED]> wrote:
> > Hi list,
> >
> > I'm trying to model a high-energy physics event in pytables and have been
> > reasonably successful so far.
> > However, I just changed the structure of my nested tables, and now I
> > can't access the columns by name anymore.
> > I try the following:
> >
> > from tables import openFile
> > fh = openFile('bug.h5')
> > x = fh.root.bug[0]
> > print x['Baryon1']
> > print x['Baryon1/Gamma'] # doesn't work
> > y = x['Baryon1']
> > print y['Gamma'] # works
> >
> > I find this very, very strange, and would appreciate comments/suggestion.
> > Regards,
> > Jan
--
>0,0< Francesc Altet http://www.carabos.com/
V V Cárabos Coop. V. Enjoy Data
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