MaskedArray is a strange but useful creature. This NEP proposes to
distribute it as a separate package under the NumPy brand.
As I understand the process, a proposed NEP should be first discussed
here to gauge general acceptance, then after that the details should be
discussed on the pull request itself
https://github.com/numpy/numpy/pull/11146.
Here is the motivation section from the NEP:
MaskedArrays are a sub-class of the NumPy ``ndarray`` that adds
masking capabilities, i.e. the ability to ignore or hide certain array
values during computation.
While historically convenient to distribute this class inside of NumPy,
improved packaging has made it possible to distribute it separately
without difficulty.
Motivations for this move include:
* Focus: the NumPy package should strive to only include the
`ndarray` object, and the essential utilities needed to manipulate
such arrays.
* Complexity: the MaskedArray implementation is non-trivial, and imposes
a significant maintenance burden.
* Compatibility: MaskedArray objects, being subclasses of `ndarrays`,
often cause complications when being used with other packages.
Fixing these issues is outside the scope of NumPy development.
This NEP proposes a deprecation pathway through which MaskedArrays
would still be accessible to users, but no longer as part of the core
package.
Any thoughts?
Matti and Stefan
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