Update app.py

app.py

@@ -29,6 +29,9 @@ def get_renewable_energy_data(city_code):
     base_times = data[next(iter(data))]['x']
     result_df = pd.DataFrame({"Time": base_times})
 
+    # Convert 'Time' column to datetime
+    result_df['Time'] = pd.to_datetime(result_df['Time'], errors='coerce')
+
     # Loop through each energy type and append hourly capacity factor data to the DataFrame
     for energy_type, energy_data in data.items():
         if 'x' in energy_data and 'y' in energy_data:
@@ -168,6 +171,7 @@ def optimize_energy_system(city_code, solar_cost, onshore_wind_cost, offshore_wi
     heatmaps = []
     for energy_source in ['solar', 'onshore_wind', 'offshore_wind', 'river']:
         df_heatmap = data[['Time', f'{energy_source} hourly capacity factor']].copy()
+        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