Python 3.x 将各种字符串更改为时间戳Python 3？

考虑到我可以从我的用户（聊天机器人）获得的所有可能的时间格式：

我想把它们转换成适当的时间。没有一种格式我可以使用

请告知如何解决此类问题

---

我尝试过使用

datetime

软件包中的

strtime

，但我需要指定格式，每次都可能不同

多亏了这个来源，才能找到我的答案！ 为他人张贴：

dateutil

dateutil模块是datetime模块的扩展。我们不需要传递任何解析代码来解析字符串。例如：

from dateutil.parser import parse

datetime = parse('2018-06-29 22:21:41')

print(datetime)
This parse function will parse the string automatically and store it in the datetime variable. Parsing is done automatically. You don't have to mention any format string. Let's try to parse different types of strings using dateutil:

from dateutil.parser import parse

date_array = [
    '2018-06-29 08:15:27.243860',
    'Jun 28 2018  7:40AM',
    'Jun 28 2018 at 7:40AM',
    'September 18, 2017, 22:19:55',
    'Sun, 05/12/1999, 12:30PM',
    'Mon, 21 March, 2015',
    '2018-03-12T10:12:45Z',
    '2018-06-29 17:08:00.586525+00:00',
    '2018-06-29 17:08:00.586525+05:00',
    'Tuesday , 6th September, 2017 at 4:30pm'
]

for date in date_array:
    print('Parsing: ' + date)
    dt = parse(date)
    print(dt.date())
    print(dt.time())
    print(dt.tzinfo)
    print('\n')

Output:

$ python3 dateutil-1.py
Parsing: 2018-06-29 08:15:27.243860
2018-06-29
08:15:27.243860
None

Parsing: Jun 28 2018  7:40AM
2018-06-28
07:40:00
None

Parsing: Jun 28 2018 at 7:40AM
2018-06-28
07:40:00
None

Parsing: September 18, 2017, 22:19:55
2017-09-18
22:19:55
None

Parsing: Sun, 05/12/1999, 12:30PM
1999-05-12
12:30:00
None

Parsing: Mon, 21 March, 2015
2015-03-21
00:00:00
None

Parsing: 2018-03-12T10:12:45Z
2018-03-12
10:12:45
tzutc()

Parsing: 2018-06-29 17:08:00.586525+00:00
2018-06-29
17:08:00.586525
tzutc()

Parsing: 2018-06-29 17:08:00.586525+05:00
2018-06-29
17:08:00.586525
tzoffset(None, 18000)

Parsing: Tuesday , 6th September, 2017 at 4:30pm
2017-09-06
16:30:00
None

您可以看到，几乎任何类型的字符串都可以使用dateutil模块轻松解析

Maya

Maya还使解析字符串和更改时区变得非常容易。以下是一些简单的例子：

import maya

dt = maya.parse('2018-04-29T17:45:25Z').datetime()
print(dt.date())
print(dt.time())
print(dt.tzinfo)
Output:

$ python3 maya-1.py
2018-04-29
17:45:25
UTC
For converting the time to a different timezone:

import maya

dt = maya.parse('2018-04-29T17:45:25Z').datetime(to_timezone='America/New_York', naive=False)
print(dt.date())
print(dt.time())
print(dt.tzinfo)
Output:

$ python3 maya-2.py
2018-04-29
13:45:25
America/New_York

现在不是很容易使用吗？让我们使用与

dateutil

相同的字符串集来尝试

maya

：

import maya

date_array = [
    '2018-06-29 08:15:27.243860',
    'Jun 28 2018  7:40AM',
    'Jun 28 2018 at 7:40AM',
    'September 18, 2017, 22:19:55',
    'Sun, 05/12/1999, 12:30PM',
    'Mon, 21 March, 2015',
    '2018-03-12T10:12:45Z',
    '2018-06-29 17:08:00.586525+00:00',
    '2018-06-29 17:08:00.586525+05:00',
    'Tuesday , 6th September, 2017 at 4:30pm'
]

for date in date_array:
    print('Parsing: ' + date)
    dt = maya.parse(date).datetime()
    print(dt)
    print(dt.date())
    print(dt.time())
    print(dt.tzinfo)
Output:

$ python3 maya-3.py
Parsing: 2018-06-29 08:15:27.243860
2018-06-29 08:15:27.243860+00:00
2018-06-29
08:15:27.243860
UTC

Parsing: Jun 28 2018  7:40AM
2018-06-28 07:40:00+00:00
2018-06-28
07:40:00
UTC

Parsing: Jun 28 2018 at 7:40AM
2018-06-28 07:40:00+00:00
2018-06-28
07:40:00
UTC

Parsing: September 18, 2017, 22:19:55
2017-09-18 22:19:55+00:00
2017-09-18
22:19:55
UTC

Parsing: Sun, 05/12/1999, 12:30PM
1999-05-12 12:30:00+00:00
1999-05-12
12:30:00
UTC

Parsing: Mon, 21 March, 2015
2015-03-21 00:00:00+00:00
2015-03-21
00:00:00
UTC

Parsing: 2018-03-12T10:12:45Z
2018-03-12 10:12:45+00:00
2018-03-12
10:12:45
UTC

Parsing: 2018-06-29 17:08:00.586525+00:00
2018-06-29 17:08:00.586525+00:00
2018-06-29
17:08:00.586525
UTC

Parsing: 2018-06-29 17:08:00.586525+05:00
2018-06-29 12:08:00.586525+00:00
2018-06-29
12:08:00.586525
UTC

Parsing: Tuesday , 6th September, 2017 at 4:30pm
2017-09-06 16:30:00+00:00
2017-09-06
16:30:00
UTC

正如您所看到的，所有的日期格式都被解析了，但是您注意到差异了吗？如果我们不提供时区信息，它会自动将其转换为UTC。因此，重要的是要注意，如果时间不是UTC，我们需要向_提供时区和原始参数

import maya

date_array = [
    '2018-06-29 08:15:27.243860',
    'Jun 28 2018  7:40AM',
    'Jun 28 2018 at 7:40AM',
    'September 18, 2017, 22:19:55',
    'Sun, 05/12/1999, 12:30PM',
    'Mon, 21 March, 2015',
    '2018-03-12T10:12:45Z',
    '2018-06-29 17:08:00.586525+00:00',
    '2018-06-29 17:08:00.586525+05:00',
    'Tuesday , 6th September, 2017 at 4:30pm'
]

for date in date_array:
    print('Parsing: ' + date)
    dt = maya.parse(date).datetime()
    print(dt)
    print(dt.date())
    print(dt.time())
    print(dt.tzinfo)
Output:

$ python3 maya-3.py
Parsing: 2018-06-29 08:15:27.243860
2018-06-29 08:15:27.243860+00:00
2018-06-29
08:15:27.243860
UTC

Parsing: Jun 28 2018  7:40AM
2018-06-28 07:40:00+00:00
2018-06-28
07:40:00
UTC

Parsing: Jun 28 2018 at 7:40AM
2018-06-28 07:40:00+00:00
2018-06-28
07:40:00
UTC

Parsing: September 18, 2017, 22:19:55
2017-09-18 22:19:55+00:00
2017-09-18
22:19:55
UTC

Parsing: Sun, 05/12/1999, 12:30PM
1999-05-12 12:30:00+00:00
1999-05-12
12:30:00
UTC

Parsing: Mon, 21 March, 2015
2015-03-21 00:00:00+00:00
2015-03-21
00:00:00
UTC

Parsing: 2018-03-12T10:12:45Z
2018-03-12 10:12:45+00:00
2018-03-12
10:12:45
UTC

Parsing: 2018-06-29 17:08:00.586525+00:00
2018-06-29 17:08:00.586525+00:00
2018-06-29
17:08:00.586525
UTC

Parsing: 2018-06-29 17:08:00.586525+05:00
2018-06-29 12:08:00.586525+00:00
2018-06-29
12:08:00.586525
UTC

Parsing: Tuesday , 6th September, 2017 at 4:30pm
2017-09-06 16:30:00+00:00
2017-09-06
16:30:00
UTC