Removing unorderable exception function

pandas/core/dtypes/common.py

@@ -1260,26 +1260,6 @@ def is_datetime_or_timedelta_dtype(arr_or_dtype):
     return _is_dtype_type(arr_or_dtype, classes(np.datetime64, np.timedelta64))
 
 
-def _is_unorderable_exception(e: TypeError) -> bool:
-    """
-    Check if the exception raised is an unorderable exception.
-
-    The error message differs for 3 <= PY <= 3.5 and PY >= 3.6, so
-    we need to condition based on Python version.
-
-    Parameters
-    ----------
-    e : Exception or sub-class
-        The exception object to check.
-
-    Returns
-    -------
-    boolean
-        Whether or not the exception raised is an unorderable exception.
-    """
-    return "'>' not supported between instances of" in str(e)
-
-
 def needs_i8_conversion(arr_or_dtype):
     """
     Check whether the array or dtype should be converted to int64.

pandas/core/series.py

@@ -17,7 +17,6 @@
 from pandas.util._validators import validate_bool_kwarg, validate_percentile
 
 from pandas.core.dtypes.common import (
-    _is_unorderable_exception,
     ensure_platform_int,
     is_bool,
     is_categorical,
@@ -1228,8 +1227,8 @@ def __setitem__(self, key, value):
             if isinstance(key, tuple) and not isinstance(self.index, MultiIndex):
                 raise ValueError("Can only tuple-index with a MultiIndex")
 
-            # python 3 type errors should be raised
-            if _is_unorderable_exception(e):
+            # unorderable exception
+            if "'>' not supported between instances of" in str(e):
                 raise IndexError(key)
 
             if com.is_bool_indexer(key):