generic.newbyteorder(new_order='S') Return a new

MaskedArray.__array_priority__ = 15

ndarray.__setitem__ x.__setitem__(i, y) <==> x[i]=y

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

record.nonzero() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and

matrix.std(axis=None, dtype=None, out=None, ddof=0)

ndarray.var(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the variance of the array elements, along given

recarray.max(axis=None, out=None) Return the maximum along a given axis. Refer to

ndarray.__mod__ x.__mod__(y) <==> x%y

ndarray.__imod__ x.__imod__(y) <==> x%=y