import

pandas-dev · jreback · Jan 2, 2019 · Nov 30, 2018 · Nov 30, 2018 · Nov 30, 2018
commit 6e908239ec12bcc0900d476c05578441640f9374
diff --git a/pandas/core/dtypes/c 8000 oncat.py b/pandas/core/dtypes/c 8000 oncat.py
@@ -12,8 +12,8 @@
     is_extension_array_dtype, is_interval_dtype, is_object_dtype,
     is_period_dtype, is_sparse, is_timedelta64_dtype)
 from pandas.core.dtypes.generic import (
-    ABCDatetimeIndex, ABCIndexClass, ABCPeriodIndex, ABCRangeIndex,
-    ABCSparseDataFrame, ABCTimedeltaIndex)
+    ABCDatetimeArray, ABCDatetimeIndex, ABCIndexClass, ABCPeriodIndex,
+    ABCRangeIndex, ABCSparseDataFrame, ABCTimedeltaIndex)
 
 from pandas import compat
 
@@ -471,15 +471,14 @@ def _concat_datetimetz(to_concat, name=None):
     all inputs must be DatetimeIndex
     it is used in DatetimeIndex.append also
     """
-    from pandas.core.arrays import DatetimeArrayMixin as DatetimeArray
     # Right now, internals will pass a List[DatetimeArray] here
     # for reductions like quantile. I would like to disentangle
     # all this before we get here.
     sample = to_concat[0]
 
     if isinstance(sample, ABCIndexClass):
         return sample._concat_same_dtype(to_concat, name=name)
-    elif isinstance(sample, DatetimeA
4A54
rray):
+    elif isinstance(sample, ABCDatetimeArray):
         return sample._concat_same_type(to_concat)