Added sorting of consumed

urbs.py

@@ -1648,13 +1648,21 @@ def plot(prob, com, sit, timesteps=None, power_unit='MW', energy_unit='MWh'):
                            index=created.index[-1:]+1, columns=created.columns)
         for col in std.columns:
             std[col] = np.std(created[col])
-            # norming by mean value
-            std[col] = std[col] / np.mean(created[col])
         # sort created ascencing with std i.e. base load first
         created = created.append(std)
         new_columns = created.columns[created.ix[created.last_valid_index()].argsort()]
         created = created[new_columns][:-1]
 
+    if len(consumed.columns) > 1:
+        std = pd.DataFrame(np.zeros_like(consumed.tail(1)),
+                           index=consumed.index[-1:]+1, columns=consumed.columns)
+        for col in std.columns:
+            std[col] = np.std(consumed[col])
+        # sort consumed ascencing with std i.e. base load first
+        consumed = consumed.append(std)
+        new_columns = consumed.columns[consumed.ix[consumed.last_valid_index()].argsort()]
+        consumed = consumed[new_columns][:-1]
+
     # PLOT CREATED
     ax0 = plt.subplot(gs[0])
     sp0 = ax0.stackplot(created.index, created.as_matrix().T, linewidth=0.15)