[Numpy-discussion] reading *big* inhomogenous text matrices *fast*?
Thu Aug 14 11:51:20 CDT 2008
One other potential downside of using python lists to accumulate numbers
is that you are storing python objects (python ints or floats, or...)
rather than raw numbers, which has got to incur some memory overhead.
How does array.array perform in this context? It has an append() method,
and one would hope it uses a similar memory allocation scheme.
Also, does numpy convert array.array objects to numpy arrays more
efficiently? It could, of course, but someone would have to have written
the special case code.
Christopher Barker, Ph.D.
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