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

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

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

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

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

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

ndarray.reshape(shape, order='C') Returns an array containing the same data with a new shape. Refer to

ndarray.__hex__() <==> hex(x)

ndarray.strides Tuple of bytes to step in each dimension when traversing an array. The byte offset of element

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