Hi, On Tue, Jun 28, 2011 at 5:38 PM, Charles R Harris <charlesr.har...@gmail.com> wrote: > Nathaniel, an implementation using masks will look *exactly* like an > implementation using na-dtypes from the user's point of view. Except that > taking a masked view of an unmasked array allows ignoring values without > destroying or copying the original data. The only downside I can see to an > implementation using masks is memory and disk storage, and perhaps memory > mapped arrays. And I rather expect the former to solve itself in a few > years, eight gigs is becoming a baseline for workstations and in a couple of > years I expect that to be up around 16-32, and a few years after that.... In > any case we are talking 12% - 25% overhead, and in practice I expect it > won't be quite as big a problem as folks project.
Or, in the case of 16 bit integers, 50% memory overhead. I honestly find it hard to believe that I will not care about memory use in the near future, and I don't think it's wise to make decisions on that assumption. Best, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
