ndarray.std(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the standard deviation of the array elements along

matrix.view(dtype=None, type=None) New view of array with the same data.

matrix.ravel(order='C')

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

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

numpy.ma.apply_along_axis(func1d, axis, arr, *args, **kwargs)

ndarray.nbytes Total bytes consumed by the elements of the array. Notes Does not include

recarray.view(dtype=None, type=None) New view of array with the same data.

numpy.polynomial.legendre.legval3d(x, y, z, c)

numpy.polynomial.legendre.legtrim(c, tol=0)