MaskedArray.__xor__ x.__xor__(y) <==> x^y

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

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

MaskedArray.__getstate__()

MaskedArray.__rand__ x.__rand__(y) <==> y&x

MaskedArray.put(indices, values, mode='raise')

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

class numpy.lib.user_array.container(data, dtype=None, copy=True)

matrix.getT()

recarray.trace(offset=0, axis1=0, axis2=1, dtype=None, out=None) Return the sum along diagonals of the array. Refer