修复pandas升级后的代码问题

app/service/result_service.py

@@ -143,7 +143,7 @@ class UserCustomerResultAdaptor(UserCustomerDataAdaptor):
             col = list(month_earn.columns)
             col_ = {x: x.replace('_earn', '') for x in list(col)}
             month_earn.rename(columns=col_, inplace=True)
-            folio_report_data["contribution_decomposition"] = month_earn
+            # folio_report_data["contribution_decomposition"] = month_earn
 
             # 组合内单个基金净值数据  组合内基金持仓数据
             result_fund_nav_info, result_fund_hoding_info = self.group_fund_basic_info_data(cur_folio_order_data, cur_folio_result_cnav_data, cumulative_profit, total_cost)
@@ -379,16 +379,20 @@ class UserCustomerResultAdaptor(UserCustomerDataAdaptor):
             return str(a) + "/" + str(b)
 
         profit_df_cp = signal_fund_cum_weight.copy()
-        profit_df_cp["date"] = profit_df_cp.index
+        profit_df_cp["date"] = list(profit_df_cp.index)
         grouped = profit_df_cp.groupby(profit_df_cp["date"].apply(year_month))
-        month_signal_fund_cum = grouped.last().sort_values(by="date")
-        del month_signal_fund_cum["date"]
+        month_signal_fund_cum = grouped.last()
+        month_signal_fund_cum.rename(columns={"date": "datetime"}, inplace=True)
+        month_signal_fund_cum.sort_values(by="datetime", inplace=True)
+        del month_signal_fund_cum["datetime"]
 
         p_cum_df = cum_return_ratio_df.copy()
-        p_cum_df["date"] = p_cum_df.index
+        p_cum_df["date"] = list(p_cum_df.index)
         cum_grouped = p_cum_df.groupby(p_cum_df["date"].apply(year_month))
-        month_fund_cum = cum_grouped.last().sort_values(by="date")
-        del month_fund_cum["date"]
+        month_fund_cum = cum_grouped.last()
+        month_fund_cum.rename(columns={"date": "datetime"}, inplace=True)
+        month_fund_cum.sort_values(by="datetime", inplace=True)
+        del month_fund_cum["datetime"]
 
         return cum_return_ratio_df, month_fund_cum, month_signal_fund_cum