ARROW-6652: [Python] Fix ChunkedArray.to_pandas to retain timezone

python/pyarrow/table.pxi

@@ -163,7 +163,16 @@ cdef class ChunkedArray(_PandasConvertible):
                 self.sp_chunked_array,
                 self, &out))
 
-        return pandas_api.series(wrap_array_output(out), name=self._name)
+        result = pandas_api.series(wrap_array_output(out), name=self._name)
+
+        if isinstance(self.type, TimestampType):
+            tz = self.type.tz
+            if tz is not None:
+                tz = string_to_tzinfo(tz)
+                result = (result.dt.tz_localize('utc')
+                          .dt.tz_convert(tz))
+
+        return result
 
     def __array__(self, dtype=None):
         values = self.to_pandas().values

python/pyarrow/tests/test_array.py

@@ -1786,3 +1786,6 @@ def test_to_pandas_timezone():
     arr = pa.array([1, 2, 3], type=pa.timestamp('s', tz='Europe/Brussels'))
     s = arr.to_pandas()
     assert s.dt.tz is not None
+    arr = pa.chunked_array([arr])
+    s = arr.to_pandas()
+    assert s.dt.tz is not None

python/pyarrow/tests/test_table.py

@@ -187,15 +187,19 @@ def test_chunked_array_pickle(data, typ):
 
 @pytest.mark.pandas
 def test_chunked_array_to_pandas():
+    import pandas as pd
+
     data = [
         pa.array([-10, -5, 0, 5, 10])
     ]
     table = pa.table(data, names=['a'])
     col = table.column(0)
     assert isinstance(col, pa.ChunkedArray)
-    array = col.to_pandas()
-    assert array.shape == (5,)
-    assert array[0] == -10
+    series = col.to_pandas()
+    assert isinstance(series, pd.Series)
+    assert series.shape == (5,)
+    assert series[0] == -10
+    assert series.name == 'a'
 
 
 @pytest.mark.pandas