fix the output format

read_data.py

@@ -2,7 +2,10 @@ import pandas as pd
 import numpy as np
 import csv
 
-df_sunlight = pd.read_excel('lightintensity.xlsx', header=None, names=['SunlightIntensity'])
+sunlight_file_name = 'lightintensity.xlsx'
+factory_demand_file_name = 'factory_power1.xlsx'
+
+df_sunlight = pd.read_excel(sunlight_file_name, header=None, names=['SunlightIntensity'])
 
 start_date = '2023-01-01 00:00:00'  # 根据数据的实际开始日期调整
 hours = pd.date_range(start=start_date, periods=len(df_sunlight), freq='h')
@@ -11,7 +14,7 @@ df_sunlight.set_index('Time', inplace=True)
 
 df_sunlight_resampled = df_sunlight.resample('15min').interpolate()
 
-df_power = pd.read_excel('factory_power.xlsx', 
+df_power = pd.read_excel(factory_demand_file_name, 
                          header=None, 
                          names=['FactoryPower'], 
                          dtype={'FactoryPower': float})
@@ -42,9 +45,11 @@ print(df_combined2.head())
 with open('combined_data.csv', 'w', newline='') as file:
     writer = csv.writer(file)
     writer.writerow(['time', 'sunlight', 'demand','price'])
+    cnt = 0
     for index, row in df_combined2.iterrows():
         time_formatted = index.strftime('%H:%M')
         writer.writerow([time_formatted, row['SunlightIntensity'], row['FactoryPower'],row['ElectricityPrice']])
+        
     print('The file is written to combined_data.csv')
 
 # combined_data.to_csv('updated_simulation_with_prices.csv', index=False)