Francesc Alted <faltet <at> pytables.org> writes:
> A Monday 01 February 2010 15:15:45 Jon Olav Vik escrigué:
> > I'd like suggestions on how to work around
> > NotImplementedError: record arrays with columns with type description
> > ``([('a', '
> > <f8'), ('b', '<f8')],(3,))`` are not supported yet, sorry
[...]
> > What is the best workaround for this, given that I have a lot of existing
> > code based on the assumption that each record has a field called y that
> > contains a vector whose items have fields ("a", "b")?
>
> Yes, multidimensional tables are not supported yet (although multidimensional
> columns are). I plan to implement column-wise tables in the near future, and
> I think that multidimensional tables would fit well within these new beasts.
[...]
> > Another is to go from a record that has a field that
> > ...contains a vector whose items have fields ("a", "b")
> > to
> > ...has fields ("a", "b") whose items are vectors
> >
> > This can be stored in PyTables. However, the data in each record will be
> > transposed (all time-points for each field will be contiguous).
>
> Well, I think this is your best bet with PyTables for the moment. If this is
> not enough for you, you may want to try h5py that, if I recall correctly, has
> support for multidimensional tables.
I don't require fully multidimensional tables, e.g. I don't need a "cols"
method within each field. However, it would be nice to get back each entire
record with the same dtype as I put it in. For now, I guess I'll just store
each record as x[i].view(np.int8), keep list(str(x.dtype)) as an attribute of
the table, and accept the hassle of doing f.root.x[i].view
(f.root.x.attrs.dtype) or something. Is there a clean way to do that
automatically, e.g. by overriding some method of the Table object?
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