[Numpy-discussion] feedback request: proposal to add masks to the core ndarray

Matthew Brett matthew.brett@gmail....
Fri Jun 24 13:04:11 CDT 2011


Just as a use case, if I do this:

a = np.zeros((big_number,), dtype=np.int32)
a[0,0] = np.NA

I think I'm right in saying that, with the array.mask implementation
my array memory usage with grow by new big_number bytes, whereas with
the np.naint32 implementation you'd get something like:

Error('This data type does not allow missing values')

Is that right?

See y'all,


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