diff --git a/config_juxiting.py b/config_juxiting.py
index f5d2612..16009c6 100644
--- a/config_juxiting.py
+++ b/config_juxiting.py
@@ -228,7 +228,7 @@ if add_kdj and is_edbnamelist:
     edbnamelist = edbnamelist+['K','D','J']
 ### 模型参数  
 # y = 'PP：拉丝：1102K：市场价：青州：国家能源宁煤（日）' # 原油指标数据的目标变量  
-y = 'AVG(金能大唐久泰青州)' # 原油指标数据的目标变量  
+y = 'AVG-金能大唐久泰青州' # 原油指标数据的目标变量  
 avg_cols = [
     'PP：拉丝：1102K：出厂价：青州：国家能源宁煤（日）',
     'PP：拉丝：L5E89：出厂价：华北（第二区域）：内蒙古久泰新材料（日）',
diff --git a/lib/dataread.py b/lib/dataread.py
index d1496c9..7d180b5 100644
--- a/lib/dataread.py
+++ b/lib/dataread.py
@@ -509,8 +509,8 @@ def datachuli_juxiting(df_zhibiaoshuju,df_zhibiaoliebiao,datecol='date',end_time
     df.rename(columns={datecol:'ds'},inplace=True)
     
     df[offsite_col] = df[offsite_col]-offsite
-    df['AVG(金能大唐久泰青州)'] = df[avg_cols].mean(axis=1)
-    print(df[['ds','AVG(金能大唐久泰青州)']+avg_cols].head(20))
+    df[y] = df[avg_cols].mean(axis=1)
+    print(df[['ds',y]+avg_cols].head(20))
     # 重命名预测列
     df.rename(columns={y:'y'},inplace=True)
     # 按时间顺序排列