ndarray.__div__ x.__div__(y) <==> x/y

numpy.polynomial.laguerre.lagsub(c1, c2)

numpy.matlib.ones(shape, dtype=None, order='C')

numpy.polynomial.hermite.hermcompanion(c)

recarray.cumprod(axis=None, dtype=None, out=None) Return the cumulative product of the elements along the given axis.

classmethod Polynomial.identity(domain=None, window=None)

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

MaskedArray.transpose(*axes)

numpy.ma.argmin(a, axis=None, fill_value=None)

record.conj()