numpy.ma.prod(self, axis=None, dtype=None, out=None) = Return the product of the array elements over the given axis. Masked elements

numpy.ma.zeros(shape, dtype=float, order='C') = Return a new array of given shape and type, filled with zeros.

numpy.ma.average(a, axis=None, weights=None, returned=False)

numpy.ma.expand_dims(x, axis)

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

MaskedArray.get_fill_value()

MaskedArray.sum(axis=None, dtype=None, out=None)

numpy.ma.trace(self, offset=0, axis1=0, axis2=1, dtype=None, out=None) a.trace(offset=0, axis1=0, axis2=1, dtype=None, out=None) =

numpy.ma.atleast_1d(*arys) = Convert inputs to arrays with at least one dimension. Scalar inputs are converted to 1-dimensional

numpy.ma.array(data, dtype=None, copy=False, order=None, mask=False, fill_value=None, keep_mask=True, hard_mask=False, shrink=True, subok=True, ndmin=0)