numpy.ma.diag(v, k=0)

numpy.ma.getmask(a)

numpy.ma.make_mask_descr(ndtype)

numpy.ma.masked_less_equal(x, value, copy=True)

numpy.ma.copy(self, *args, **params) a.copy(order='C') = Return a copy of the array.

MaskedArray.copy(order='C')

numpy.ma.all(self, axis=None, out=None) = Check if all of the elements of a are true. Performs a logical_and

numpy.ma.empty(shape, dtype=float, order='C') = Return a new array of given shape and type, without initializing entries.

MaskedArray.nonzero()

numpy.ma.corrcoef(x, y=None, rowvar=True, bias=, allow_masked=True, ddof=)