diff --git a/api/api_v1/endpoints/query.py b/api/api_v1/endpoints/query.py
index b56e58f..8e3cb7d 100644
--- a/api/api_v1/endpoints/query.py
+++ b/api/api_v1/endpoints/query.py
@@ -720,6 +720,10 @@ async def scatter_model(
     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())
@@ -740,9 +744,7 @@ async def scatter_model(
             for i, v in enumerate(quota_interval_arr[1:]):
                 resp['label'].append(f'[{quota_interval_arr[i]},{v})')
                 bins.append(v)
-        # 合计的
-        if res['time_particle'] == 'total':
-            df['date'] = '合计'
+
 
         # 这是整体的
         for key, tmp_df in df.groupby('date'):
@@ -783,12 +785,14 @@ async def scatter_model(
                 '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)