Question

从以下日期开始，如何使用python

获取月份和年份

日期

           "2011-07-01 09:26:11"   //This showud display  as "This month"
           "2011-06-07 09:26:11"   //This should display as June            
           "2011-03-12 09:26:11"   //This should display as March            
           "2010-07-25 09:26:11"   // Should display as last year

请告诉我如何使用python 2.4获取这些格式

当我在pandas dataframe中有一个[具有相同格式]的日期变量时，如何执行此操作？

Answer 1

import time
import calendar

current = time.localtime()

dates = ["2011-07-01 09:26:11", "2011-06-07 09:26:11", "2011-03-12 09:26:11", "2010-07-25 09:26:11"]

for date in dates:
    print "%s" % date
    date = time.strptime(date, "%Y-%m-%d %H:%M:%S")

    if date.tm_year == current.tm_year - 1:
        print "Last year"    

    elif date.tm_mon == current.tm_mon:
        print "This month"

    else:
        print calendar.month_name[date.tm_mon]

应该大致按照你的要求做。

Answer 2

from datetime import datetime
a = datetime.strptime('2011-07-01 09:26:11', '%Y-%m-%d %H:%M:%S')
if a.month == datetime.now().month:
    print 'This month'

根据http://docs.python.org/library/datetime.html

的其他结果

Answer 3

python日期/时间转换的良好网站： http://www.saltycrane.com/blog/2008/11/python-datetime-time-conversions/

Answer 4

您可以使用datetime.strptime粘贴日期。但对于像你这样的简单案例，我只会使用正则表达式。

>>>> import re
>>>> re.match('^(\d+)-(\d+)', "2011-07-01 09:26:11").groups()
('2011', '07')

将日期转换为月和年

4 个答案: