numpy.can_cast(from, totype, casting = 'safe') Returns True if cast between data types can occur according to the casting rule

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

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

generic.flags integer value of flags

numpy.polynomial.laguerre.lag2poly(c)

numpy.polynomial.hermite_e.hermeroots(c)

MaskedArray.reshape(*s, **kwargs)

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

New in version 1.6.0. This module provides a number of objects (mostly functions) useful for dealing with Hermite series

numpy.ma.outerproduct(a, b)