From f1ba0e875f92bee5fa6eaf54b5a10d35215298ab Mon Sep 17 00:00:00 2001
From: mxr612 <work@mxr612.io>
Date: Thu, 5 Jun 2025 09:26:27 +0800
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- 将逐行处理的日期解析改为批量应用，提升数据处理效率
- 确保“入职信息”和“职务变动”表中的日期字段统一使用自定义解析函数
---
 main.py | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)

diff --git a/main.py b/main.py
index 7e0917a..de17377 100644
--- a/main.py
+++ b/main.py
@@ -24,13 +24,11 @@ def custom_date_parser(x):
 BaseData = pd.read_excel("原数据.xlsx", sheet_name="入职信息")
 Promote = pd.read_excel("原数据.xlsx", sheet_name="职务变动") # 
 
-for index, row in BaseData.iterrows():
-    for col in ["出生年月","任职年月","原职时间","参加工作时间","入职时间", "晋档起始", "晋级起始", "日期2"]:
-        BaseData.at[index, col] = custom_date_parser(row[col])
+for col in ["出生年月","任职年月","原职时间","参加工作时间","入职时间", "晋档起始", "晋级起始", "日期2"]:
+    BaseData[col] = BaseData[col].apply(custom_date_parser)
 
-for index, row in Promote.iterrows():
-    for col in ["任职时间","工资执行时间"]:
-        Promote.at[index, col] = custom_date_parser(row[col])
+for col in ["任职时间","工资执行时间"]:
+    Promote[col] = Promote[col].apply(custom_date_parser)
 
 logging.info("人员信息加载完成")