PERF: fixup

Author: TomAugspurger

pandas/core/indexes/category.py

@@ -13,7 +13,7 @@
     is_scalar)
 from pandas.core.dtypes.dtypes import CategoricalDtype
 from pandas.core.dtypes.generic import ABCCategorical, ABCSeries
-from pandas.core.dtypes.missing import array_equivalent, isna
+from pandas.core.dtypes.missing import isna
 
 from pandas.core import accessor
 from pandas.core.algorithms import take_1d
@@ -283,7 +283,13 @@ def equals(self, other):
 
         try:
             other = self._is_dtype_compat(other)
-            return array_equivalent(self._data, other)
+            # changed from array_equivalent to avoid a ValueError
+            # from trying to convert NaT.
+            # This should also be faster, since we don't coerce to
+            # arryays
+            if isinstance(other, type(self)):
+                other = other._data
+            return self._data.equals(other)
         except (TypeError, ValueError):
             pass