为什么我的 python/pandas 代码没有正确过滤终止日期？

Question

我的 python 脚本导入一个 xlsx 文件，去除一些 ID，然后应该根据我的 "term_date" 变量过滤掉终止日期。由于今天是 6 月 12 日，我不希望任何 2018 年 3 月 14 日之后的终止日期出现在我的输出中。但是，我看到的是二月终止日期。知道为什么吗？

import pandas as pd
from datetime import datetime, timedelta

TODAY = datetime.today().strftime("%d%m%Y")
term_date = (datetime.today() - timedelta(days=90))
#term_date = (pd.to_datetime('today') - pd.Timedelta(days=90))
remove_id = ['381998','201439']

df = pd.read_excel('Details.xlsx')
df = df[~df['Employee ID'].isin(remove_id)]
df['Termination Date'] = df['Termination Date'].astype(str)

df['Termination Date'] = df['Termination Date'].str.replace('nan', '1/1/2050')
df['Termination Date'] = pd.to_datetime(df['Termination Date'])
df['Hire Date'] = pd.to_datetime(df['Hire Date'])
df['Home Address Line 1'] = df['Home Address Line 1'].str.replace(',', '')
df['Home Address Line 2'] = df['Home Address Line 2'].str.replace(',', '')
df['Shipping Address Line 1'] = df['Shipping Address Line 1'].str.replace(',', '')
df['Shipping Address Line 2'] = df['Shipping Address Line 2'].str.replace(',', '')
df2 = df[df['Termination Date'] >= term_date]

df2.to_excel('roster_file2_' + TODAY + '.xlsx')

我的数据框示例：

Employee ID Termination Date    Hire Date   Home Address Line 1
234254              2/1/2018    1/1/2015    20 Main St
675867              5/2/2018    1/1/2015    10 Elm St
345665              1/1/2050    1/1/2015    1 Chestnut St
974445              1/1/2050    1/1/2015    12 Cherry St
235465             11/3/2017    1/1/2015    9 Lucky St

Answer 1

这看起来像是日期时间格式的问题。转换为日期时间

时尝试传递 dayfirst=True

df.TerminationDate = pd.to_datetime(df.TerminationDate,dayfirst=True)

df[df.TerminationDate >= term_date]
Out[519]: 
EmployeeID TerminationDate    HireDate   HomeAddress
2      345665      2050-01-01  01/01/2015  1 ChestnutSt
3      974445      2050-01-01  01/01/2015   12 CherrySt

为什么我的 python/pandas 代码没有正确过滤终止日期？

Why is my python/pandas code not filtering the Termination date correctly?

python

python-datetime

pandas