[Numpy-discussion] Who will use numpy.ma?

[Sasha <nd...@ma...>]

MA is intended to be a drop-in replacement for Numeric arrays that can
explicitely handle missing observations.  With the recent improvements
to the array object in NumPy, the MA library has fallen behind.  There
are more than 50 methods in the ndarray object that are not present in
ma.array.

I would like to hear from people who work with datasets with missing
observations? Do you use MA? Do you think with the support for nan's
and replaceable mathematical operations, should missing observations
be handled in numpy using special values rather than an array of
masks?

Thanks.

-- sasha