Group By - fix std and sum for TimeVariable

Orange/widgets/data/owgroupby.py

@@ -63,9 +63,11 @@ def concatenate(x):
         lambda x: pd.Series.mode(x).get(0, nan),
         {ContinuousVariable, DiscreteVariable, TimeVariable}
     ),
-    "Standard deviation": Aggregation("std", {ContinuousVariable, TimeVariable}),
+    "Standard deviation": Aggregation(
+        lambda s: s.std(), {ContinuousVariable, TimeVariable}
+    ),
     "Variance": Aggregation("var", {ContinuousVariable, TimeVariable}),
-    "Sum": Aggregation("sum", {ContinuousVariable, TimeVariable}),
+    "Sum": Aggregation("sum", {ContinuousVariable}),
     "Concatenate": Aggregation(
         concatenate,
         {ContinuousVariable, DiscreteVariable, StringVariable, TimeVariable},

Orange/widgets/data/tests/test_owgroupby.py

@@ -690,13 +690,21 @@ def test_time_variable(self):
 
         # time variable as a group by variable
         self.send_signal(self.widget.Inputs.data, data)
-        self._set_selection(self.widget.gb_attrs_view, [1])
+        self._set_selection(self.widget.gb_attrs_view, [3])
         output = self.get_output(self.widget.Outputs.data)
         self.assertEqual(3, len(output))
 
         # time variable as a grouped variable
-        self.send_signal(self.widget.Inputs.data, data)
-        self._set_selection(self.widget.gb_attrs_view, [5])
+        attributes = [data.domain["c2"], data.domain["d2"]]
+        self.send_signal(self.widget.Inputs.data, data[:, attributes])
+        self._set_selection(self.widget.gb_attrs_view, [1])  # d2
+        # check all aggregations
+        self.assert_aggregations_equal(["Mean", "Mode"])
+        self.select_table_rows(self.widget.agg_table_view, [0])  # c2
+        for cb in self.widget.agg_checkboxes.values():
+            if cb.text() != "Mean":
+                cb.click()
+        self.assert_aggregations_equal(["Mean, Median, Mode and 12 more", "Mode"])
         output = self.get_output(self.widget.Outputs.data)
         self.assertEqual(2, len(output))