将 Python 中的日期与 datetime 进行比较

2023-11-07Python开发问题
2

本文介绍了将 Python 中的日期与 datetime 进行比较的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

问题描述

So I have a list of dates:

[datetime.date(2013, 7, 9), datetime.date(2013, 7, 12), datetime.date(2013, 7, 15), datetime.date(2013, 7, 18), datetime.date(2013, 7, 22), datetime.date(2013, 7, 25)]

And I know today is:

date.today() 

For the sake of this post, today is datetime.date(2013, 7, 15)

I need to be able to generate a list of any future dates, including today if it's on the list.

The return statement would be:

[datetime.date(2013, 7, 15), datetime.date(2013, 7, 18), datetime.date(2013, 7, 22), datetime.date(2013, 7, 25)]

I know I can just iterate over a list and compare dates using a timedelta but there has to be an easier way..

解决方案

Comparing date with other date is possible.

date1 < date2 date1 is considered less than date2 when date1 precedes date2 in time.

>>> datetime.date(2013, 7, 15) < datetime.date(2013, 7, 16)
True
>>> datetime.date(2013, 7, 15) <= datetime.date(2013, 7, 16)
True
>>> datetime.date(2013, 7, 15) > datetime.date(2013, 7, 16)
False


>>> import datetime
>>> today = datetime.date(2013, 7, 15) # datetime.date.today()
>>> [d for d in dates if d >= today]
[datetime.date(2013, 7, 15), datetime.date(2013, 7, 18), datetime.date(2013, 7, 22), datetime.date(2013, 7, 25)]

这篇关于将 Python 中的日期与 datetime 进行比较的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持跟版网!

The End

相关推荐

在xarray中按单个维度的多个坐标分组
groupby multiple coords along a single dimension in xarray(在xarray中按单个维度的多个坐标分组)...
2024-08-22 Python开发问题
15

Pandas中的GROUP BY AND SUM不丢失列
Group by and Sum in Pandas without losing columns(Pandas中的GROUP BY AND SUM不丢失列)...
2024-08-22 Python开发问题
17

GROUP BY+新列+基于条件的前一行抓取值
Group by + New Column + Grab value former row based on conditionals(GROUP BY+新列+基于条件的前一行抓取值)...
2024-08-22 Python开发问题
18

PANDA中的Groupby算法和插值算法
Groupby and interpolate in Pandas(PANDA中的Groupby算法和插值算法)...
2024-08-22 Python开发问题
11

PANAS-基于列对行进行分组,并将NaN替换为非空值
Pandas - Group Rows based on a column and replace NaN with non-null values(PANAS-基于列对行进行分组,并将NaN替换为非空值)...
2024-08-22 Python开发问题
10

按10分钟间隔对 pandas 数据帧进行分组
Grouping pandas DataFrame by 10 minute intervals(按10分钟间隔对 pandas 数据帧进行分组)...
2024-08-22 Python开发问题
11