Fix linting errors

Author: mroeschke

pandas/io/sql.py

@@ -823,7 +823,7 @@ def _harmonize_columns(self, parse_dates=None):
                         col_type is DatetimeTZDtype):
                     if col_type is DatetimeTZDtype:
                         # Convert tz-aware Datetime SQL columns to UTC
-                        self.frame[col_name] = _handle_date_column(df_col, 
+                        self.frame[col_name] = _handle_date_column(df_col,
                                                                    utc=True)
                     else:
                         self.frame[col_name] = _handle_date_column(df_col)

pandas/tests/indexes/datetimes/test_tools.py

@@ -269,15 +269,15 @@ def test_to_datetime_utc_is_true(self):
         result = pd.to_datetime(date_range, utc=True)
         expected = pd.DatetimeIndex(data=date_range)
         tm.assert_index_equal(result, expected)
-    
+
     @pytest.mark.parametrize("init_constructor, end_constructor, test_method",
-        [(Index, DatetimeIndex, tm.assert_index_equal),
-         (list, DatetimeIndex, tm.assert_index_equal),
-         (np.array, DatetimeIndex, tm.assert_index_equal),
-         (Series, Series, tm.assert_series_equal)])
-    def test_to_datetime_utc_true_with_constructors(self, 
-                                                    init_constructor, 
-                                                    end_constructor, 
+                             [(Index, DatetimeIndex, tm.assert_index_equal),
+                              (list, DatetimeIndex, tm.assert_index_equal),
+                              (np.array, DatetimeIndex, tm.assert_index_equal),
+                              (Series, Series, tm.assert_series_equal)])
+    def test_to_datetime_utc_true_with_constructors(self,
+                                                    init_constructor,
+                                                    end_constructor,
                                                     test_method):
         # GH 6415: UTC=True with Series
         data = ['20100102 121314', '20100102 121315']