What about: idx_by_name = dict(enumerate(d.dtype.names))
Then I can look up the index of the columns I want before the loop, and then access by the index during the loop. - W On Wed, Jul 21, 2010 at 4:29 PM, Pierre GM <pgmdevl...@gmail.com> wrote: > > On Jul 21, 2010, at 4:22 PM, wheres pythonmonks wrote: > >> However: is there an automatic way to convert a named index to a position? >> >> What about looping over tuples of my recarray: >> >> for t in d: >> date = t['Date'] >> .... > > Why don't you use zip ? > >>>> for (date, t) in (d['Date'], d) > > That way, you save repetitive calls to __getitem__.... > >> Should I create a map from dtype.names(), and use that to look up the >> index based on the name in advance? (if I really really want to >> factorize out the lookup of 'Date'] > > > Meh. I have a bad feeling about it that it won't be really performant. > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
