diff --git a/api/api_v1/endpoints/query.py b/api/api_v1/endpoints/query.py
index 8e3cb7d..02828bb 100644
--- a/api/api_v1/endpoints/query.py
+++ b/api/api_v1/endpoints/query.py
@@ -612,6 +612,9 @@ async def retention_model_export(request: Request,
     analysis = res['analysis']
     groupby = res['groupby']
     quota_interval_arr = res['quota_interval_arr']
+    # 兼容合计的
+    if res['time_particle'] == 'total':
+        df['date'] = '合计'
     if analysis != 'number_of_days' and interval_type != 'discrete':
         max_v = int(df['values'].max())
         min_v = int(df['values'].min())
@@ -639,10 +642,17 @@ async def retention_model_export(request: Request,
                             right=False).value_counts()
             bins_s.sort_index(inplace=True)
             total = int(bins_s.sum())
-            resp['list'][key.strftime('%Y-%m-%d')] = dict()
-            resp['list'][key.strftime('%Y-%m-%d')]['总体'] = {'n': bins_s.to_list(), 'total': total,
-                                                            'p': round(bins_s * 100 / total, 2).to_list(),
-                                                            'title': '总体'}
+            if res['time_particle'] == 'total':
+                resp['list']['合计'] = dict()
+                resp['list']['合计']['总体'] = {'n': bins_s.to_list(), 'total': total,
+                                            'p': round(bins_s * 100 / total, 2).to_list(),
+                                            'title': '总体'}
+            else:
+                resp['list'][key.strftime('%Y-%m-%d')] = dict()
+                resp['list'][key.strftime('%Y-%m-%d')]['总体'] = {'n': bins_s.to_list(), 'total': total,
+                                                                'p': round(bins_s * 100 / total, 2).to_list(),
+                                                                'title': '总体'}
+
         # 分组的
         if groupby:
             export_df = pd.DataFrame(columns=resp['label'])
@@ -675,12 +685,14 @@ async def retention_model_export(request: Request,
                 'end_date': res['end_date'],
                 'time_particle': res['time_particle']
                 }
-        total_dict = {}
         labels = [str(i) for i in sorted(df['values'].unique())]
         resp['label'] = labels
         for key, tmp_df in df.groupby(['date']):
             total = len(tmp_df)
-            dt = key.strftime('%Y-%m-%d')
+            if res['time_particle'] == 'total':
+                dt = '合计'
+            else:
+                dt = key.strftime('%Y-%m-%d')
             labels_dict = {}
             for key2, tmp_df2 in tmp_df.groupby('values'):
                 label = str(key2)