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

recarray.astype(dtype, order='K', casting='unsafe', subok=True, copy=True) Copy of the array, cast to a specified type

ndarray.__setslice__ x.__setslice__(i, j, y) <==> x[i:j]=y Use of negative indices is not supported

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

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

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

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

ndarray.__iadd__ x.__iadd__(y) <==> x+=y

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

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