ndarray.__iadd__ x.__iadd__(y) <==> x+=y

recarray.choose(choices, out=None, mode='raise') Use an index array to construct a new array from a set of choices.

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

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

matrix.nonzero() Return the indices of the elements that are non-zero. Refer to

MaskedArray.__floordiv__(other)

record.repeat() 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.__rshift__ x.__rshift__(y) <==> x>>y

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