diff --git a/api/api_v1/endpoints/query.py b/api/api_v1/endpoints/query.py
index ad0d1cc..34273fa 100644
--- a/api/api_v1/endpoints/query.py
+++ b/api/api_v1/endpoints/query.py
@@ -1,3 +1,4 @@
+import ast
 import datetime
 from collections import defaultdict
 import mimetypes
@@ -430,7 +431,7 @@ async def event_model(
                 appgb = str(gb).replace("'", '')
                 groups.append(appgb)
                 item['groups'] = groups
-
+        item['groupby']=groupby
         item['values'] = np.array(item['values'])[sort_key].tolist()
         item['sum'] = np.array(item['sum'])[sort_key].tolist()
         item['avg'] = np.array(item['avg'])[sort_key].tolist()
@@ -804,7 +805,11 @@ async def retention_model(request: Request,
     for _, items in new_summary_valuess.items():
         for key in ['p', 'n', 'p_outflow', 'n_outflow']:
             items[key].extend(['-'] * (retention_length - len(items[key])))
-
+    groupby_data = []
+    for i in new_summary_valuess.keys():
+        ac = ast.literal_eval(i)
+        ab = [str(ii) for ii in ac]
+        groupby_data.append(ab)
     resp = {
         'summary_values': new_summary_valuess,
         # 'values': values,
@@ -814,8 +819,9 @@ async def retention_model(request: Request,
         'filter_item': filter_item,
         'start_date': res['start_date'],
         'end_date': res['end_date'],
-        'time_particle': res['time_particle']
-
+        'time_particle': res['time_particle'],
+        'groupby':[i['columnName'] for i in groupby_list],
+        'groupby_data':groupby_data
     }
     return schemas.Msg(code=0, msg='ok', data=resp)
 
@@ -1672,6 +1678,12 @@ async def scatter_model(
             if group_label:
                 for name, idx in group_label.items():
                     resp['biaotou'].insert(idx, name)
+            groupby_data = []
+            for i in resp['list'].keys():
+                ac = ast.literal_eval(i)
+                ab = [str(ii) for ii in ac]
+                groupby_data.append(ab)
+            resp['groupby_data']=groupby_data
             return schemas.Msg(code=0, msg='ok', data=resp)
         else:
             # 离散数字
@@ -1773,6 +1785,12 @@ async def scatter_model(
             if group_label:
                 for name, idx in group_label.items():
                     resp['biaotou'].insert(idx, name)
+            groupby_data = []
+            for i in resp['list'].keys():
+                ac = ast.literal_eval(i)
+                ab = [str(ii) for ii in ac]
+                groupby_data.append(ab)
+            resp['groupby_data']=groupby_data
             return schemas.Msg(code=0, msg='ok', data=resp)
     else:
         return schemas.Msg(code=-9, msg='没有添加分组项', data='')