主页 / 问题 / 1262477
Accepted
Radzhab
Asked:2022-03-27 16:13:11 +0000 UTC2022-03-27 16:13:11 +0000 UTC

如何以 30 分钟的间隔创建从一个日期到另一个日期的周期？

  • 772

使用箭头库，我每小时循环一次

from arrow import Arrow
      
start = datetime(2021, 3, 25, 0, 0)
end = datetime(2021, 3, 26, 0, 0)
    
for r in Arrow.range('hours', start, end):
    ...

每 30 分钟一次怎么样？

python

3 个回答

  1. Best Answer

    您可以使用 Pandas 模块：

    import pandas as pd   #  pip install pandas

res = pd.date_range(start, end, freq="30min")

    结果：

    In [187]: res
Out[187]:
DatetimeIndex(['2021-03-25 00:00:00', '2021-03-25 00:30:00',
               '2021-03-25 01:00:00', '2021-03-25 01:30:00',
               '2021-03-25 02:00:00', '2021-03-25 02:30:00',
               '2021-03-25 03:00:00', '2021-03-25 03:30:00',
               '2021-03-25 04:00:00', '2021-03-25 04:30:00',
               '2021-03-25 05:00:00', '2021-03-25 05:30:00',
               '2021-03-25 06:00:00', '2021-03-25 06:30:00',
               '2021-03-25 07:00:00', '2021-03-25 07:30:00',
               '2021-03-25 08:00:00', '2021-03-25 08:30:00',
               '2021-03-25 09:00:00', '2021-03-25 09:30:00',
               '2021-03-25 10:00:00', '2021-03-25 10:30:00',
               '2021-03-25 11:00:00', '2021-03-25 11:30:00',
               '2021-03-25 12:00:00', '2021-03-25 12:30:00',
               '2021-03-25 13:00:00', '2021-03-25 13:30:00',
               '2021-03-25 14:00:00', '2021-03-25 14:30:00',
               '2021-03-25 15:00:00', '2021-03-25 15:30:00',
               '2021-03-25 16:00:00', '2021-03-25 16:30:00',
               '2021-03-25 17:00:00', '2021-03-25 17:30:00',
               '2021-03-25 18:00:00', '2021-03-25 18:30:00',
               '2021-03-25 19:00:00', '2021-03-25 19:30:00',
               '2021-03-25 20:00:00', '2021-03-25 20:30:00',
               '2021-03-25 21:00:00', '2021-03-25 21:30:00',
               '2021-03-25 22:00:00', '2021-03-25 22:30:00',
               '2021-03-25 23:00:00', '2021-03-25 23:30:00',
               '2021-03-26 00:00:00'],
              dtype='datetime64[ns]', freq='30T')

    结果可以很容易地转换为对象列表datetime：

    In [190]: res.to_pydatetime().tolist()
Out[190]:
[datetime.datetime(2021, 3, 25, 0, 0),
 datetime.datetime(2021, 3, 25, 0, 30),
 datetime.datetime(2021, 3, 25, 1, 0),
 datetime.datetime(2021, 3, 25, 1, 30),
 datetime.datetime(2021, 3, 25, 2, 0),
 datetime.datetime(2021, 3, 25, 2, 30),
 datetime.datetime(2021, 3, 25, 3, 0),
 datetime.datetime(2021, 3, 25, 3, 30),
 datetime.datetime(2021, 3, 25, 4, 0),
 datetime.datetime(2021, 3, 25, 4, 30),
 datetime.datetime(2021, 3, 25, 5, 0),
 datetime.datetime(2021, 3, 25, 5, 30),
 datetime.datetime(2021, 3, 25, 6, 0),
 datetime.datetime(2021, 3, 25, 6, 30),
 datetime.datetime(2021, 3, 25, 7, 0),
 datetime.datetime(2021, 3, 25, 7, 30),
 datetime.datetime(2021, 3, 25, 8, 0),
 datetime.datetime(2021, 3, 25, 8, 30),
 datetime.datetime(2021, 3, 25, 9, 0),
 datetime.datetime(2021, 3, 25, 9, 30),
 datetime.datetime(2021, 3, 25, 10, 0),
 datetime.datetime(2021, 3, 25, 10, 30),
 datetime.datetime(2021, 3, 25, 11, 0),
 datetime.datetime(2021, 3, 25, 11, 30),
 datetime.datetime(2021, 3, 25, 12, 0),
 datetime.datetime(2021, 3, 25, 12, 30),
 datetime.datetime(2021, 3, 25, 13, 0),
 datetime.datetime(2021, 3, 25, 13, 30),
 datetime.datetime(2021, 3, 25, 14, 0),
 datetime.datetime(2021, 3, 25, 14, 30),
 datetime.datetime(2021, 3, 25, 15, 0),
 datetime.datetime(2021, 3, 25, 15, 30),
 datetime.datetime(2021, 3, 25, 16, 0),
 datetime.datetime(2021, 3, 25, 16, 30),
 datetime.datetime(2021, 3, 25, 17, 0),
 datetime.datetime(2021, 3, 25, 17, 30),
 datetime.datetime(2021, 3, 25, 18, 0),
 datetime.datetime(2021, 3, 25, 18, 30),
 datetime.datetime(2021, 3, 25, 19, 0),
 datetime.datetime(2021, 3, 25, 19, 30),
 datetime.datetime(2021, 3, 25, 20, 0),
 datetime.datetime(2021, 3, 25, 20, 30),
 datetime.datetime(2021, 3, 25, 21, 0),
 datetime.datetime(2021, 3, 25, 21, 30),
 datetime.datetime(2021, 3, 25, 22, 0),
 datetime.datetime(2021, 3, 25, 22, 30),
 datetime.datetime(2021, 3, 25, 23, 0),
 datetime.datetime(2021, 3, 25, 23, 30),
 datetime.datetime(2021, 3, 26, 0, 0)]
    • 5

  2. 这也可以通过使用标准datetime来完成timedelta

    例如：

    import datetime as DT

start = DT.datetime(2021, 3, 25, 0, 0)
end = DT.datetime(2021, 3, 26, 0, 0)
step = DT.timedelta(minutes=30)

date = start
while date <= end:
    print(date)
    date += step

    结果：

    2021-03-25 00:00:00
2021-03-25 00:30:00
2021-03-25 01:00:00
...
2021-03-25 23:00:00
2021-03-25 23:30:00
2021-03-26 00:00:00
    • 4

  3. 多样性的另一种选择。效率不是很高（生成了额外的对象datetime然后丢弃），但基于问题中的代码，以函数的形式添加了一点islice：

    from arrow import Arrow
from datetime import datetime
from itertools import islice
      
start = datetime(2021, 3, 25, 0, 0)
end = datetime(2021, 3, 26, 0, 0)
    
for r in islice(Arrow.range('minute', start, end), None, None, 30):
    print(r)

    结论：

    2021-03-25T00:00:00+00:00
2021-03-25T00:30:00+00:00
2021-03-25T01:00:00+00:00
...
    • 1

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