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Check Table MaskedColumn for future change in MaskedArray #5530
In numpy 1.13, MaskedArray views will start to share the mask with the item viewed rather than get a new copy (numpy/numpy#5580). In many ways, this is much more logical, and I think it should pose no issues for MaskedColumn, but we should check. In particular, we should ensure that in any copy, the mask actually does get copied.
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mhvk commentedon Dec 1, 2016
See #2997 (comment) for the types of warnings one may get from numpy while the change in behaviour is still being prepared
mhvk commentedon Dec 1, 2016
Actually, as pointed out by @saimn, there was already an issue for this: #5060. So, I'll close this here.
bsipocz commentedon Dec 1, 2016
Maybe add the
duplicatelabel, too?mhvk commentedon Dec 1, 2016
Done.