From 268362d05b750e1a59ccbf530a9d8920845ff43e Mon Sep 17 00:00:00 2001 From: wuaho Date: Mon, 30 Aug 2021 15:57:47 +0800 Subject: [PATCH] 1 --- api/api_v1/endpoints/query.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/api/api_v1/endpoints/query.py b/api/api_v1/endpoints/query.py index c86d8da..abe1284 100644 --- a/api/api_v1/endpoints/query.py +++ b/api/api_v1/endpoints/query.py @@ -136,8 +136,8 @@ async def event_model( # df_group.reset_index(drop=True, inplace=True) q['groups'].append(groupby) q['values'].append(df['values'].to_list()) - q['sum'].append(round(df['values'].sum(),2)) - q['avg'].append(round(df['values'].mean(), 2)) + q['sum'].append(int(df['values'].sum())) + q['avg'].append(int(df['values'].mean())) for last_value in df['values'].values[::-1]: if last_value > 0: q['last_value'] = int(last_value) @@ -188,7 +188,7 @@ async def event_model( if last_value > 0: q['last_value'] = last_value break - q['sum'].append(round(df['values'].sum(),2)) + q['sum'].append(int(df['values'].sum())) q['avg'].append(round(df['values'].mean(), 2)) if item['time_particle'] in ('P1D', 'P1W'): q['date_range'] = [d.strftime('%Y-%m-%d') for d in q['date_range']]