tests: replace sum(level=0) with groupby and sum

See pandas-dev/pandas#39983

Author: rschwarz

test/test_cluster_order.py

@@ -81,19 +81,19 @@ def test_cluster_order():
 
     # sort the typical days in order to avoid error assertion due to different order
     sortedDaysOrig1 = (
-        orig_raw_predefClusterOrder.sum(axis=0, level=0).sort_values("GHI").index
+        orig_raw_predefClusterOrder.groupby(level=0).sum().sort_values("GHI").index
     )
     sortedDaysTest1 = (
-        typPeriods_predefClusterOrder.sum(axis=0, level=0).sort_values("GHI").index
+        typPeriods_predefClusterOrder.groupby(level=0).sum().sort_values("GHI").index
     )
 
     sortedDaysOrig2 = (
-        orig_raw_predefClusterOrderAndClusterCenters.sum(axis=0, level=0)
+        orig_raw_predefClusterOrderAndClusterCenters.groupby(level=0).sum()
         .sort_values("GHI")
         .index
     )
     sortedDaysTest2 = (
-        typPeriods_predefClusterOrderAndClusterCenters.sum(axis=0, level=0)
+        typPeriods_predefClusterOrderAndClusterCenters.groupby(level=0).sum()
         .sort_values("GHI")
         .index
     )

test/test_hierarchical.py

@@ -42,8 +42,8 @@ def test_hierarchical():
     print("Clustering took " + str(time.time() - starttime))
 
     # sort the typical days in order to avoid error assertion due to different order
-    sortedDaysOrig = orig_raw.sum(axis=0, level=0).sort_values("GHI").index
-    sortedDaysTest = typPeriods.sum(axis=0, level=0).sort_values("GHI").index
+    sortedDaysOrig = orig_raw.groupby(level=0).sum().sort_values("GHI").index
+    sortedDaysTest = typPeriods.groupby(level=0).sum().sort_values("GHI").index
 
     # rearange their order
     orig = orig_raw[typPeriods.columns].unstack().loc[sortedDaysOrig, :].stack()

test/test_k_medoids.py

@@ -39,8 +39,8 @@ def test_k_medoids():
     print("Clustering took " + str(time.time() - starttime))
 
     # sort the typical days in order to avoid error assertion due to different order
-    sortedDaysOrig = orig_raw.sum(axis=0, level=0).sort_values("GHI").index
-    sortedDaysTest = typPeriods.sum(axis=0, level=0).sort_values("GHI").index
+    sortedDaysOrig = orig_raw.groupby(level=0).sum().sort_values("GHI").index
+    sortedDaysTest = typPeriods.groupby(level=0).sum().sort_values("GHI").index
 
     # rearange their order
     orig = orig_raw[typPeriods.columns].unstack().loc[sortedDaysOrig, :].stack()

test/test_segmentation.py

@@ -41,8 +41,8 @@ def test_segmentation():
     print("Clustering took " + str(time.time() - starttime))
 
     # sort the typical days in order to avoid error assertion due to different order
-    sortedDaysOrig = orig_raw.sum(axis=0, level=0).sort_values("GHI").index
-    sortedDaysTest = typPeriods.sum(axis=0, level=0).sort_values("GHI").index
+    sortedDaysOrig = orig_raw.groupby(level=0).sum().sort_values("GHI").index
+    sortedDaysTest = typPeriods.groupby(level=0).sum().sort_values("GHI").index
 
     # rearange their order
     orig = orig_raw[typPeriods.columns].unstack().loc[sortedDaysOrig, :].stack()