ndarray.__or__ x.__or__(y) <==> x|y

ndarray.transpose(*axes) Returns a view of the array with axes transposed. For a 1-D array, this has no effect

ndarray.__invert__ x.__invert__() <==> ~x

ndarray.put(indices, values, mode='raise') Set a.flat[n] = values[n] for all n in indices. Refer

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

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

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

ndarray.__ipow__ x.__ipow__(y) <==> x**=y

ndarray.__ixor__ x.__ixor__(y) <==> x^=y

ndarray.__repr__() <==> repr(x)