some cleanups

pandas/core/dtypes/base.py

@@ -26,11 +26,6 @@ class _DtypeOpsMixin(object):
     na_value = np.nan
     _metadata = ()
 
-    @property
-    def _ndarray_na_value(self):
-        """Private method internal to pandas"""
-        raise AbstractMethodError(self)
-
     def __eq__(self, other):
         """Check whether 'other' is equal to self.
 

pandas/core/dtypes/cast.py

@@ -251,7 +251,6 @@ def changeit():
 
 def maybe_promote(dtype, fill_value=np.nan):
     # if we passed an array here, determine the fill value by dtype
-
     if isinstance(fill_value, np.ndarray):
         if issubclass(fill_value.dtype.type, (np.datetime64, np.timedelta64)):
             fill_value = iNaT

pandas/core/generic.py

@@ -9661,7 +9661,6 @@ def describe_categorical_1d(data):
 
                 if is_datetime64_any_dtype(data):
                     tz = data.dt.tz
-                    # astype for ndarray / datetimearray compat.
                     asint = data.dropna().values.view('i8')
                     top = Timestamp(top)
                     if top.tzinfo is not None and tz is not None:

pandas/core/indexes/datetimelike.py

@@ -101,7 +101,9 @@ def equals(self, other):
 
     @staticmethod
     def _join_i8_wrapper(joinf, dtype, with_indexers=True):
-        """Create the join wrapper methods."""
+        """
+        Create the join wrapper methods.
+        """
         from pandas.core.arrays.datetimelike import DatetimeLikeArrayMixin
 
         @staticmethod
@@ -195,7 +197,7 @@ def sort_values(self, return_indexer=False, ascending=True):
         else:
             sorted_values = np.sort(self._ndarray_values)
             attribs = self._get_attributes_dict()
-            freq = self.freq
+            freq = attribs['freq']
 
             if freq is not None and not is_period_dtype(self):
                 if freq.n > 0 and not ascending:
@@ -637,12 +639,6 @@ def _time_shift(self, periods, freq=None):
         result.name = self.name
         return result
 
-    # -
-    # dispatch
-
-    def _has_same_tz(self, other):
-        return self._data._has_same_tz(other)
-
     @classmethod
     def _create_comparison_method(cls, op):
         """
@@ -702,6 +698,7 @@ def index_method(self, *args, **kwargs):
             if pin_name:
                 result.name = self.name
             return result
+        return result
 
     index_method.__name__ = method.__name__
     index_method.__doc__ = method.__doc__

pandas/core/indexes/datetimes.py

@@ -1257,6 +1257,7 @@ def slice_indexer(self, start=None, end=None, step=None, kind=None):
                                        False)
     month_name = wrap_array_method(DatetimeArray.month_name, True)
     day_name = wrap_array_method(DatetimeArray.day_name, True)
+    _has_same_tz = wrap_array_method(DatetimeArray._has_same_tz, box=False)
 
     # --------------------------------------------------------------------