[Numpy-discussion] use for missing (ignored) data?
Wed Mar 7 14:05:47 CST 2012
I'm wondering what is the use for the ignored data feature?
I can use:
A[valid_A_indexes] = whatever
to process only the 'non-ignored' portions of A. So at least some simple cases
of ignored data are already supported without introducing a new type.
w = A[valid_A_indexes]
will copy A's data, and subsequent use of
w[:] = something
will not update A.
Is this the reason for wanting the ignored data feature?
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