From effad3ca107c3bf215ce784ba9c75f5fb7c835c1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=9D=8E=E4=BC=9F?= <250213850@qq.com>
Date: Mon, 27 Dec 2021 15:01:21 +0800
Subject: [PATCH] =?UTF-8?q?=E4=BF=AE=E6=94=B9=E8=AE=BE=E5=A4=87LTV?=
 =?UTF-8?q?=E5=BD=93=E7=8E=A9=E7=9F=AD=E6=9C=9F=E5=B1=95=E7=A4=BA=E4=B8=8D?=
 =?UTF-8?q?=E5=87=BA=E6=9D=A5=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/xquery.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/api/api_v1/endpoints/xquery.py b/api/api_v1/endpoints/xquery.py
index 3b8cb46..1d5d36b 100644
--- a/api/api_v1/endpoints/xquery.py
+++ b/api/api_v1/endpoints/xquery.py
@@ -148,12 +148,13 @@ async def ltv_model_sql(
     df2 = df[['注册日期', cat, *[f'sumpay_{i}' for i in ltv_n]]]
     df2.replace('-', 0, inplace=True)  #True改变原数据，前面是需要替换的值，后面是替换后的值。 在原数据把下划线替换成0
     #修改下面代码
-    # 去除sumpay_1的值为0的列
+    # 去除sumpay_2的值为0的列
     new_df2 = (df2.drop(df2[(df2.sumpay_2 == 0)].index))
     #为new_df2排序
     new_df2=new_df2.reset_index(drop=True)
     #求相差天数
-    str_time =new_df2['注册日期'][0]
+    str_time = df2['注册日期'][0]
+    #str_time =new_df2['注册日期'][0]
     str_time01=str(str_time)
     split_time = str_time01.split('-')
     #str_time = str(res['date_range'][0])