Update app.py

app.py

@@ -174,9 +174,14 @@ def optimize_energy_system(city_code, solar_cost, onshore_wind_cost, offshore_wi
         df_heatmap['Time'] = pd.to_datetime(df_heatmap['Time'], errors='coerce')  # Ensure Time is in datetime format
         df_heatmap['day_of_year'] = df_heatmap['Time'].dt.dayofyear
         df_heatmap['hour_of_day'] = df_heatmap['Time'].dt.hour
-
-        # Pivot the data for heatmap
-        pivot_df = df_heatmap.pivot(index='hour_of_day', columns='day_of_year', values=f'{energy_source} hourly capacity factor')
+    
+        # Use pivot_table instead of pivot to handle duplicates
+        pivot_df = df_heatmap.pivot_table(
+            index='hour_of_day',
+            columns='day_of_year',
+            values=f'{energy_source} hourly capacity factor',
+            aggfunc='mean'
+        )
 
         # Create Plotly heatmap
         fig_heatmap = px.imshow(