Python Arrow 时间模块
Arrow: Better dates & times for Python
Arrow是一个用于时间处理的python库。它能够一键转化dates、times、timestamps等多种时间格式，而不需要大量import各种时间模块和格式转化函数。十分便捷和人性化，能够极大程度简化你的代码。
使用Arrow仅需两步，第一步接受各种类型时间类型（datetime,date,timestamps）转化为Arrow类型，第二步转化成自己需要的格式或进行操作。
import arrow
#获取当前时间的Arrow格式
i=arrow.now()
i
<Arrow [2019-11-21T17:04:57.018170+08:00]>
str(i)
'2019-11-21T17:04:57.018170+08:00'
转化时间戳
i.timestamp
1574327097
年 月 日 时 分 秒
i.format('YYYY-MM-DD HH:mm:ss')
'2019-11-21 17:04:57'
年 月 日
i.format('YYYY-MM-DD')
'2019-11-21'
时 分 秒
i.format('HH:mm:ss')
'17:04:57'
星期
i.format('MMM DD dddd ')
'Nov 21 Thursday '
66天后日期
i.shift(days=66).format('YYYY-MM-DD')
'2020-01-26'
修改日期,梦回2008
i.replace(year=2008, month=8, day=8).format('YYYY-MM-DD')
'2008-08-08'
获取当前时间
arrow.now()
#<Arrow [2019-11-21T17:23:21.463980+08:00]>
arrow.now('US/Pacific')
# <Arrow [2019-11-21T01:23:50.697479-08:00]>
arrow.utcnow()
# <Arrow [2019-11-21T09:24:57.171157+00:00]>
get 格式转化
from datetime import datetime
arrow.get(datetime(2019, 11, 21))
#<Arrow [2019-11-21T00:00:00+00:00]>
arrow.get(datetime(2019, 11, 21),'US/Pacific')
解析字符串格式：
>>> arrow.get('2013-05-05 12:30:45', 'YYYY-MM-DD HH:mm:ss')
#<Arrow [2013-05-05T12:30:45+00:00]>
当天数为一位数字时 ，前面不可以＋0
>>> arrow.get(2013, 5, 5)
<Arrow [2013-05-05T00:00:00+00:00]>
>>> arrow.Arrow(2013, 5, 5)
<Arrow [2013-05-05T00:00:00+00:00]>
arrow.get(2019,11,21).format("YYYY-MM-DD")
#'2019-11-21'
arrow.get("20191121").format("YYYY-MM-DD")
#'2019-11-21'
Replace & Shift
Get a new Arrow object, with altered attributes, just as you would with a datetime:
时间替换 a.replace(\kwargs)**
返回一个被替换后的arrow对象，原对象不变
In [14]: arw = arrow.utcnow()
In [15]: arw
Out[15]: <Arrow [2019-11-21T11:07:16.675758+00:00]>
In [16]: arw.replace(hour=4, minute=40)
Out[16]: <Arrow [2019-11-21T04:40:16.675758+00:00]>
Or, get one with attributes shifted forward or backward:
shift 方法获取某个时间之前或之后的时间,关键字参数为years,months,weeks,days,hours，seconds，microseconds
In [17]: arw.shift(weeks=+3) #三周后
Out[17]: <Arrow [2019-12-12T11:07:16.675758+00:00]>
In [18]: arw.shift(days=-14)
Out[18]: <Arrow [2019-11-07T11:07:16.675758+00:00]>
In [19]: arw.shift(days =14)
Out[19]: <Arrow [2019-12-05T11:07:16.675758+00:00]>
In [20]: arw.shift(years=1)
Out[20]: <Arrow [2020-11-21T11:07:16.675758+00:00]>
Format
In [21]: arrow.utcnow().format('YYYY-MM-DD HH:mm:ss ZZ')
Out[21]: '2019-11-21 11:11:14 +00:00'
Ranges & Spans
Get the time span of any unit:
In [22]: arrow.utcnow().span('hour')
Out[22]:
(<Arrow [2019-11-21T11:00:00+00:00]>,
<Arrow [2019-11-21T11:59:59.999999+00:00]>)
Or just get the floor and ceiling:
In [23]: arrow.utcnow().floor('hour')
Out[23]: <Arrow [2019-11-21T11:00:00+00:00]>
In [24]: arrow.utcnow().ceil('hour')
Out[24]: <Arrow [2019-11-21T11:59:59.999999+00:00]>
You can also get a range of time spans:
arrow.Arrow.span_rang()
返回一个元组
start = datetime(2013, 5, 5,)
end = datetime(2013,6, 5,)
for r in arrow.Arrow.span_range('day', start, end):
print(r)
print(type(r))
# (<Arrow [2013-05-05T00:00:00+00:00]>, <Arrow [2013-05-05T23:59:59.999999+00:00]>)
# <class 'tuple'>
Or just iterate over a range of time:
start = datetime(2013, 5, 5, 12, 30)
end = datetime(2013, 5, 5, 17, 15)
for r in arrow.Arrow.range('hour', start, end):
print( repr(r))
<Arrow [2013-05-05T12:30:00+00:00]>
<Arrow [2013-05-05T13:30:00+00:00]>
<Arrow [2013-05-05T14:30:00+00:00]>
<Arrow [2013-05-05T15:30:00+00:00]>
<Arrow [2013-05-05T16:30:00+00:00]>
'或者'
start =arrow.get (2013, 5, 5, 12, 30)
end = arrow.get(2013, 5, 5, 17, 15)
for r in arrow.Arrow.range('hour', start, end):
print( repr(r))
<Arrow [2013-05-05T12:30:00+00:00]>
<Arrow [2013-05-05T13:30:00+00:00]>
<Arrow [2013-05-05T14:30:00+00:00]>
<Arrow [2013-05-05T15:30:00+00:00]>
<Arrow [2013-05-05T16:30:00+00:00]>
'对获取范围内的日期进行格式化'
'range' 的到的范围，为闭区间
start =arrow.get (2013, 5, 5, 12, 30)
end = arrow.get(2013, 5, 10, 17, 15)
for r in arrow.Arrow.range('day', start, end):
print(r.format("YYYY-MM-DD"))
2013-05-05
2013-05-06
2013-05-07
2013-05-08
2013-05-09
2013-05-10
'或者'
start =arrow.get (2013, 5, 5, 12, 30)
end = arrow.get(2013, 5, 5, 17, 15)
for r in arrow.Arrow.range('hour', start, end):
print( repr(r))
'对获取范围内的日期进行格式化'
'range'的到的范围，为闭区间
start =arrow.get (2013, 5, 5, 12, 30)
end = arrow.get(2013, 5, 10, 17, 15)
for r in arrow.Arrow.range('day', start, end):
print(r.format("YYYY-MM-DD"))
2013-05-05
2013-05-06
2013-05-07
2013-05-08
2013-05-09
2013-05-10
人性化输出 a.humanize()
>>> present = arrow.utcnow()
>>> past = present.shift(hours=-1)
>>> past.humanize() #相对于当前时间
'an hour age'
>>> future = present.shift(hours=2)
>>> future.humanize(present) #相对于参数时间
'in 2 hours'
>>> past.humanize(present, locale='zh') #locale参数可以指定地区语言
'1天前'
参考：