I'm trying to write a table of numpy records, but failing.
I have a numpy dtype
dtp = np.dtype([('x',np.float64), ('y', np.float64)])
I was hoping I could make columns with this:
class DoesNotWork(tables.IsDescription):
XY = tables.Col.from_atom(tables.Atom.from_dtype(dtype=dtp))
but PyTables doesn't like that. The complaint is "compound data types
are not supported: dtype([('x', '<f8'), ('y', '<f8')])".
I can make a compound data type manually just fine:
class ThisWorks(tables.IsDescription):
x = tables.Float64Col()
y = tables.Float64Col()
Is it possible to make a table description directly from my dtype? If
not, is there some other way to create the description directly from
the dtype?
thanks,
-robert
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