prices change

environment.py

@@ -159,7 +159,7 @@ class ESSEnv(gym.Env):
         temperature_df = pd.read_csv('data/temper.csv', sep=',')
         wind_df = pd.read_csv('data/wind.csv', sep=',')
 
-        price = price_df['price'].to_numpy(dtype=float)
+        price = price_df['Price'].to_numpy(dtype=float)
         load = load_df['houseload'].to_numpy(dtype=float)
         irradiance = irradiance_df['irradiance'].to_numpy(dtype=float)
         temperature = temperature_df['t2m'].to_numpy(dtype=float)

test.py

@@ -21,21 +21,30 @@
 
 # print(model)
 
-import pickle
+# import pickle
+#
+# a = 'DDPG'
+# b = 'PPO'
+# c = 'SAC'
+# d = 'TD3'
+#
+# a1 = '/reward_data.pkl'
+# a2 = '/loss_data.pkl'
+# a3 = '/test_data.pkl'
+#
+# filename = './Agent' + a + a3
+#
+# # 使用 'rb' 模式打开文件，读取二进制数据
+# with open(filename, 'rb') as f:
+#     data = pickle.load(f)
+#
+# print(data)
 
-a = 'DDPG'
-b = 'PPO'
-c = 'SAC'
-d = 'TD3'
+import pandas as pd
 
-a1 = '/reward_data.pkl'
-a2 = '/loss_data.pkl'
-a3 = '/test_data.pkl'
+# Load the CSV file
+file_path = 'data/prices_m.csv'
+price_df = pd.read_csv(file_path)
+# Check the columns
+print(price_df.columns)
 
-filename = './Agent' + a + a3
-
-# 使用 'rb' 模式打开文件，读取二进制数据
-with open(filename, 'rb') as f:
-    data = pickle.load(f)
-
-print(data)