ndarray.itemset(*args) Insert scalar into an array (scalar is cast to array?s dtype, if possible) There must be

ndarray.compress(condition, axis=None, out=None) Return selected slices of this array along given axis. Refer to

ndarray.__iand__ x.__iand__(y) <==> x&=y

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

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

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.__contains__ x.__contains__(y) <==> y in x

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

ndarray.min(axis=None, out=None, keepdims=False) Return the minimum along a given axis. Refer to