By default, when you convert a Pandas Series to a NumPy array using the .values attribute or the to_numpy() method, the data is not copied. Instead, a view of the data is returned whenever possible to improve performance and reduce memory overhead. This means that changes made to the NumPy array will also affect the original Pandas Series, and vice versa, because they share the same underlying data.