numpy.ma.loads(strg)

numpy.ma.common_fill_value(a, b)

MaskedArray.copy(order='C')

MaskedArray.ptp(axis=None, out=None, fill_value=None)

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

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

numpy.ma.mr_ = Translate slice objects to concatenation along the first axis. This is the masked array version of lib

numpy.ma.var(self, axis=None, dtype=None, out=None, ddof=0) = Compute the variance along the specified axis. Returns the variance

MaskedArray.flatten(order='C')

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