CLN: remove _set_subtyp (#31301)

Author: jbrockmendel

pandas/core/dtypes/generic.py

@@ -56,9 +56,7 @@ def _check(cls, inst) -> bool:
 ABCSeries = create_pandas_abc_type("ABCSeries", "_typ", ("series",))
 ABCDataFrame = create_pandas_abc_type("ABCDataFrame", "_typ", ("dataframe",))
 
-ABCSparseArray = create_pandas_abc_type(
-    "ABCSparseArray", "_subtyp", ("sparse_array", "sparse_series")
-)
+ABCSparseArray = create_pandas_abc_type("ABCSparseArray", "_subtyp", ("sparse_array",))
 ABCCategorical = create_pandas_abc_type("ABCCategorical", "_typ", ("categorical"))
 ABCDatetimeArray = create_pandas_abc_type("ABCDatetimeArray", "_typ", ("datetimearray"))
 ABCTimedeltaArray = create_pandas_abc_type(

pandas/core/series.py

@@ -392,7 +392,7 @@ def _can_hold_na(self):
 
     _index = None
 
-    def _set_axis(self, axis, labels, fastpath=False) -> None:
+    def _set_axis(self, axis, labels, fastpath: bool = False) -> None:
         """
         Override generic, we want to set the _typ here.
         """
@@ -413,18 +413,10 @@ def _set_axis(self, axis, labels, fastpath=False) -> None:
                     # or not be a DatetimeIndex
                     pass
 
-        self._set_subtyp(is_all_dates)
-
         object.__setattr__(self, "_index", labels)
         if not fastpath:
             self._data.set_axis(axis, labels)
 
-    def _set_subtyp(self, is_all_dates):
-        if is_all_dates:
-            object.__setattr__(self, "_subtyp", "time_series")
-        else:
-            object.__setattr__(self, "_subtyp", "series")
-
     def _update_inplace(self, result, **kwargs):
         # we want to call the generic version and not the IndexOpsMixin
         return generic.NDFrame._update_inplace(self, result, **kwargs)