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

MaskedArray.soften_mask()

numpy.ma.hstack(tup) = Stack arrays in sequence horizontally (column wise). Take a sequence of arrays and stack them horizontally

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

numpy.ma.getmaskarray(arr)

numpy.ma.inner(a, b)

numpy.ma.polyfit(x, y, deg, rcond=None, full=False, w=None, cov=False)

numpy.ma.empty_like(a, dtype=None, order='K', subok=True) = Return a new array with the same shape and type as a given array

numpy.ma.allclose(a, b, masked_equal=True, rtol=1e-05, atol=1e-08)