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

ndarray.__rshift__ x.__rshift__(y) <==> x>>y

ndarray.__sub__ x.__sub__(y) <==> x-y

numpy.ipmt(rate, per, nper, pv, fv=0.0, when='end')

generic.round() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and

recarray.diagonal(offset=0, axis1=0, axis2=1) Return specified diagonals. In NumPy 1.9 the returned array is a read-only

numpy.rate(nper, pmt, pv, fv, when='end', guess=0.1, tol=1e-06, maxiter=100)

numpy.ma.ptp(obj, axis=None, out=None, fill_value=None)

numpy.round_(a, decimals=0, out=None)

numpy.polynomial.polynomial.polyone = array([1])