Francesc Altet (el 2007-12-01 a les 17:23:30 +0100) va dir:: > Well, the solution for this is a bit buried in the reference manual: > > http://www.pytables.org/docs/manual/ch04.html#RowClassDescr > > section "Special Methods". In brief, row[:] will do the job for you.
You may also use the ``Row.fetch_all_fields()`` method, which returns a NumPy void scalar (i.e. a record) instead of a tuple. Nearly the same, but you can still access fields by their name (``record['field']``). :: Ivan Vilata i Balaguer >qo< http://www.carabos.com/ Cárabos Coop. V. V V Enjoy Data ""
signature.asc
Description: Digital signature
------------------------------------------------------------------------- SF.Net email is sponsored by: The Future of Linux Business White Paper from Novell. From the desktop to the data center, Linux is going mainstream. Let it simplify your IT future. http://altfarm.mediaplex.com/ad/ck/8857-50307-18918-4
_______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users