Hi,
I find myself thinking the following operation:
frames = numarray.array([row['frame'] for row in data2d.where(
data2d.cols.camn == camn )])
could probably be made much faster with something like:
frames = data2d.where( data2d.cols.camn == camn )['frame']
This doesn't work currently because the __getitem__() method of the Row
class expects to be operating in the context of an iterator. It returns
only a single row value. Is there another idiom to access all the
selected rows with a similar speed? Or is this something that could be
easily added?
Cheers!
Andrew
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