numpy.ma.choose(indices, choices, out=None, mode='raise')

numpy.ma.append(a, b, axis=None)

MaskedArray.flatten(order='C')

MaskedArray.copy(order='C')

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

numpy.ma.size(obj, axis=None)

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

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

numpy.ma.make_mask(m, copy=False, shrink=True, dtype=)

numpy.ma.atleast_2d(*arys) = View inputs as arrays with at least two dimensions.