ndarray.cumsum(axis=None, dtype=None, out=None) Return the cumulative sum of the elements along the given axis. Refer

ndarray.__getitem__ x.__getitem__(y) <==> x[y]

ndarray.dumps() Returns the pickle of the array as a string. pickle.loads or numpy.loads will convert the string back to

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

ndarray.argsort(axis=-1, kind='quicksort', order=None) Returns the indices that would sort this array. Refer to

ndarray.newbyteorder(new_order='S') Return the array with the same data viewed with a different byte order. Equivalent

ndarray.__oct__() <==> oct(x)

ndarray.__long__() <==> long(x)

ndarray.partition(kth, axis=-1, kind='introselect', order=None) Rearranges the elements in the array in such a way that

ndarray.prod(axis=None, dtype=None, out=None, keepdims=False) Return the product of the array elements over the given axis