Pandas API/INT: why is to_pydatetime handled differently in Series.dt accessor?

While reviewing: https://github.com/pandas-dev/pandas/pull/20198, I notices this was defined in the DatetimeProperties itself:

https://github.com/pandas-dev/pandas/blob/78ded2585efb3e4b5164af91c85927b99298f026/pandas/core/indexes/accessors.py#L114-L143

Is there any reason that we have it like that, while all others are just wrapped DatetimeIndex attributes/methods?

Because that means this returns (a bit strangly) an ndarray instead of a Series of the datetime.datetime values (making it inconsistent with other methods)

cc @jbrockmendel @jreback

Comment From: jorisvandenbossche

Ah, now I opened this issue, I thought of a probable reason: because otherwise the datetime.datetime values would quickly get inferred / coerced back to datetime64 ?

Comment From: jreback

yes that is the reason though we could return an object dtype Index

Comment From: jbrockmendel

Could change this for 2.0. Hard to deprecate since there isn't a good "do X instead."