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

ndarray.base Base object if memory is from some other object. Examples The base of an array

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

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

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

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

ndarray.getfield(dtype, offset=0) Returns a field of the given array as a certain type. A field is a view of the

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

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

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