python之arrow时间处理模块

首先安装

pip install arrow

直接创建arrow对象

print(arrow.get(2019, 1, 23))  # 2019-01-23T00:00:00+00:00
print(arrow.Arrow(2018, 2, 24))  # 2018-02-24T00:00:00+00:00

arrow对象属性    datetime,timestamp,native,tzinfo

a = arrow.utcnow()  # 获取当前时间
print(arrow.now())  # 获取当前时间  2019-01-23T10:51:10.047906+08:00
b = a.datetime
c = a.timestamp
d = a.naive
print(a)  # 2019-01-23T02:50:42.887795+00:00
print("datetime", b)  # datetime 2019-01-23 03:10:34.940650+00:00
print("timestamp", c)  # timestamp 1548213034
print("a.naive", d)  # a.naive 2019-01-23 03:11:29.784884

获取datetime对象的值

hour = a.hour
day = a.day
print(f"hour:{hour},day:{day}")  # hour:3,day:23

时间推移    a.shift(**kwargs),  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

print("shift", a.shift(weeks=+3))  # shift 2019-02-13T03:25:29.686405+00:00

时间替换   a.replace(**kwargs) ,返回一个被替换后的arrow对象，原对象不变

print("replace", a.replace(hour=10))  # replace 2019-01-23T10:27:05.175130+00:00

格式化输出    a.format([format_string])

print("format", a.format())  # format 2019-01-23 03:28:14+00:00
print("format", a.format('YYYY-MM-DD HH:mm:ss ZZ'))  # format 2019-01-23 03:29:05 +00:00

将时间戳转化为arrow对象    arrow.get(timestamp)  时间戳可以是int，float或者可以转化为float的字符串

print(arrow.get(1548211919.1432989))  # 2019-01-23T02:51:59.143299+00:00

 时间范围和区间    a.span(string), a.floor(), a.ceil()

print("a所在的时间", a)
print("a所在的时间区间", a.span("hour"))
print("a所在区间的开始", a.floor("hour"))
print("a所在区间的结尾", a.ceil("hour"))
"""
一个小时的时间区间：
a所在的时间 2019-01-23T03:39:08.401566+00:00
a所在的时间区间 (<Arrow [2019-01-23T03:00:00+00:00]>, <Arrow [2019-01-23T03:59:59.999999+00:00]>)
a所在区间的开始 2019-01-23T03:00:00+00:00
a所在区间的结尾 2019-01-23T03:59:59.999999+00:00
"""

arrow.Arrow.range 与arrow.Arrow.span_rang

import datetime

start = datetime.datetime(2018, 2, 24, 12, 30)
end = datetime.datetime(2018, 2, 24, 15, 20)
for r in arrow.Arrow.span_range('hour', start, end):  # 获取start，end之间的时间区间
    print(r)
for r in arrow.Arrow.range('hour', start, end):  # 获取间隔单位时间的时间
    print(r)

"""
(<Arrow [2018-02-24T12:00:00+00:00]>, <Arrow [2018-02-24T12:59:59.999999+00:00]>)
(<Arrow [2018-02-24T13:00:00+00:00]>, <Arrow [2018-02-24T13:59:59.999999+00:00]>)
(<Arrow [2018-02-24T14:00:00+00:00]>, <Arrow [2018-02-24T14:59:59.999999+00:00]>)
(<Arrow [2018-02-24T15:00:00+00:00]>, <Arrow [2018-02-24T15:59:59.999999+00:00]>)
2018-02-24T12:30:00+00:00
2018-02-24T13:30:00+00:00
2018-02-24T14:30:00+00:00
"""

参考文档：

# 官方文档  https://arrow.readthedocs.io/en/latest/

# 参考博文： https://blog.csdn.net/dagu131/article/details/79365301