From 31354d600c2db9a2e5414d14cde89c16d153e104 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=9D=8E=E4=BC=9F?= <250213850@qq.com> Date: Tue, 19 Apr 2022 13:37:06 +0800 Subject: [PATCH] =?UTF-8?q?1.=E4=BC=98=E5=8C=96=E4=BA=8B=E4=BB=B6=E5=88=86?= =?UTF-8?q?=E6=9E=90=E4=B8=AD=E7=AD=9B=E9=80=89=E6=9F=90=E4=BA=9B=E5=AD=97?= =?UTF-8?q?=E6=AE=B5=E6=97=A0=E6=B3=95=E6=98=BE=E7=A4=BA=E6=95=B0=E6=8D=AE?= =?UTF-8?q?=E7=9A=84=E9=97=AE=E9=A2=98?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- api/api_v1/endpoints/query.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/api/api_v1/endpoints/query.py b/api/api_v1/endpoints/query.py index 0da81d0..f8f6d04 100644 --- a/api/api_v1/endpoints/query.py +++ b/api/api_v1/endpoints/query.py @@ -268,8 +268,9 @@ async def event_model( # q['proid_money'] = add_money res.append(q) continue - if groupby and (set(groupby) & set(df)) == set(groupby): + columns = groupby[0] + df[columns] = df[columns].astype(str) # 有分组 for group, df_group in df.groupby(groupby): #在原数据上将索引重新转换为列,新索引的列删除