move tests

pandas/tests/groupby/test_timegrouper.py

@@ -650,17 +650,3 @@ def test_scalar_call_versus_list_call(self):
         expected = grouped.count()
 
         assert_frame_equal(result, expected)
-
-    def test_groupby_with_dst_time_change(self):
-        # GH 24972
-        index = pd.DatetimeIndex([1478064900001000000, 1480037118776792000],
-                                 tz='UTC').tz_convert('America/Chicago')
-
-        df = pd.DataFrame([1, 2], index=index)
-        result = df.groupby(pd.Grouper(freq='1d')).last()
-        expected_index_values = pd.date_range('2016-11-02', '2016-11-24',
-                                              freq='d', tz='America/Chicago')
-
-        index = pd.DatetimeIndex(expected_index_values)
-        expected = pd.DataFrame([1.0] + ([np.nan] * 21) + [2.0], index=index)
-        assert_frame_equal(result, expected)

pandas/tests/resample/test_datetime_index.py

@@ -1276,6 +1276,21 @@ def test_resample_across_dst():
     assert_frame_equal(result, expected)
 
 
+def test_groupby_with_dst_time_change():
+    # GH 24972
+    index = pd.DatetimeIndex([1478064900001000000, 1480037118776792000],
+                             tz='UTC').tz_convert('America/Chicago')
+
+    df = pd.DataFrame([1, 2], index=index)
+    result = df.groupby(pd.Grouper(freq='1d')).last()
+    expected_index_values = pd.date_range('2016-11-02', '2016-11-24',
+                                          freq='d', tz='America/Chicago')
+
+    index = pd.DatetimeIndex(expected_index_values)
+    expected = pd.DataFrame([1.0] + ([np.nan] * 21) + [2.0], index=index)
+    assert_frame_equal(result, expected)
+
+
 def test_resample_dst_anchor():
     # 5172
     dti = DatetimeIndex([datetime(2012, 11, 4, 23)], tz='US/Eastern')