diff --git a/gui/src/Visualization/VisualizationGraphHelper.cpp b/gui/src/Visualization/VisualizationGraphHelper.cpp
index 570baa6..d6588e2 100644
--- a/gui/src/Visualization/VisualizationGraphHelper.cpp
+++ b/gui/src/Visualization/VisualizationGraphHelper.cpp
@@ -269,14 +269,11 @@ struct PlottablesUpdater<T,
         double minValue = 0., maxValue = 0.;
         if (auto serie = dynamic_cast<MultiComponentTimeSerie*>(&dataSeries))
         {
-            // TODO
-            //            std::for_each(
-            //                std::begin(*serie), std::end(*serie), [&minValue, &maxValue](const
-            //                auto& v) {
-            //                    minValue = std::min({ minValue,
-            //                    std::min_element(v.begin(),v.end()) }); maxValue = std::max({
-            //                    maxValue, std::max_element(v.begin(),v.end()) });
-            //                });
+            std::for_each(
+                std::begin(*serie), std::end(*serie), [&minValue, &maxValue](const auto& v) {
+                    minValue = std::min( minValue, std::min_element(v.begin(), v.end())->v() );
+                    maxValue = std::max( maxValue, std::max_element(v.begin(), v.end())->v() );
+                });
         }
 
         plot.yAxis->setRange(QCPRange { minValue, maxValue });
diff --git a/plugins/python_providers/resources/test.py b/plugins/python_providers/resources/test.py
index 3f895b7..d236313 100644
--- a/plugins/python_providers/resources/test.py
+++ b/plugins/python_providers/resources/test.py
@@ -12,16 +12,16 @@ def make_scalar(x):
     return pysciqlopcore.ScalarTimeSerie(x,y)
 
 def make_vector(x):
-    v=np.ones((3,len(x)))
+    v=np.ones((len(x),3))
     for i in range(3):
-        v[:][i] = np.cos(x/10. + float(i))
+        v.transpose()[:][i] = np.cos(x/10. + float(i))
     return pysciqlopcore.VectorTimeSerie(x,v)
 
 
 def make_multicomponent(x):
-    v=np.ones((4,len(x)))
+    v=np.ones((len(x),4))
     for i in range(4):
-        v[:][i] = float(i+1) * np.cos(x/10. + float(i))
+        v.transpose()[:][i] = float(i+1) * np.cos(x/10. + float(i))
     return pysciqlopcore.MultiComponentTimeSerie(x,v)