[Numpy-discussion] NA masks in the next numpy release?
Fri Oct 28 03:45:09 CDT 2011
Yes, to further iterate on that, you can also create multiple masked
views with each its own mask properties. It would be ambiguous to mix
a bit-pattern NA together with standard NA's in the same mask, but you
can make different specialized masked views on the same data.
Also, I like the short and concise abbreviation for 'Not Applicable',
NA. It has more common uses than IGNORE.
(See also here:
Concerning the assignment, it is a bit implicit, I agree, but the
representation and application of masks is also implicit. I think you
only have to know that NA will be a mask assignment and not a data
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