On 2009-04-24 08:05, timlash wrote:
Essentially, I'm testing tens of thousands of scenarios on a
relatively small number of test cases. Each scenario requires all
elements of each test case to be scored, then summarized, then sorted
and grouped with some top scores captured for reporting.
It seems like I can either work toward a procedure that features
indexed categorization so that my arrays are of integer type and a
design that will allow each scenario to be handled in bulk numpy
fashion, or expand RectangularArray with custom data handling methods.
If you posted a small, self-contained example of what you are doing to
numpy-discussion, the denizens there will probably be able to help you formulate
the right way to do this in numpy, if such a way exists.
http://www.scipy.org/Mailing_Lists
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpret it as though it had
an underlying truth."
-- Umberto Eco
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