jorisvandenbossche commented on code in PR #49694:
URL: https://github.com/apache/arrow/pull/49694#discussion_r3065469520


##########
python/pyarrow/scalar.pxi:
##########
@@ -822,7 +822,14 @@ cdef class TimestampScalar(Scalar):
             return None
 
         if not dtype.timezone().empty():
-            tzinfo = string_to_tzinfo(frombytes(dtype.timezone()))
+            prefer_zoneinfo = True
+            # only we this method would return a pandas.Timestamp, prefer
+            # zoneinfo depending on the pandas version
+            if _pandas_api.have_pandas and dtype.unit() == TimeUnit_NANO:
+                prefer_zoneinfo = _pandas_api.is_ge_v3()

Review Comment:
   ```suggestion
               # for datetime.datetime output, always prefer zoneinfo over pytz
               prefer_zoneinfo = True
               if _pandas_api.have_pandas and dtype.unit() == TimeUnit_NANO:
                   # but if this method returns a pandas.Timestamp (i.e. pandas 
installed
                   # and nano unit) -> adjust preference based on the pandas 
version
                   # (i.e. keep returning pytz for older pandas)
                   prefer_zoneinfo = _pandas_api.is_ge_v3()
   ```
   
   @AlenkaF would this be clearer?



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