[英]Python: How can I convert string to datetime without knowing the format?
I have a field that comes in as a string and represents a time.我有一个以字符串形式出现并代表时间的字段。 Sometimes its in 12 hour, sometimes in 24 hour.有时是 12 小时,有时是 24 小时。 Possible values:可能的值:
Is there a function that will convert these to time format by being smart about it?是否有 function 可以通过智能将这些转换为时间格式? Option 1 doesn't have am because its in 24 hour format, while option 2 has a 0 before it and option 3 is obviously in 24 hour format.选项 1 没有 am,因为它是 24 小时格式,而选项 2 前面有一个 0,而选项 3 显然是 24 小时格式。 Is there a function in Python/ a lib that does: Python/lib 中是否有 function:
time = func(str_time)
super short answer: 超短答案:
from dateutil import parser
parser.parse("8:36pm")
>>>datetime.datetime(2015, 6, 26, 20, 36)
parser.parse("18:36")
>>>datetime.datetime(2015, 6, 26, 18, 36)
Dateutil should be available for your python installation; Dateutil应该可用于python安装; no need for something large like pandas 不需要像熊猫这样的大东西
If you want to extract the time from the datetime
object: 如果要从datetime
对象提取时间:
t = parser.parse("18:36").time()
which will give you a time
object (if that's of more help to you). 这将给您一个time
对象(如果这对您有更多帮助)。 Or you can extract individual fields: 或者,您可以提取单个字段:
dt = parser.parse("18:36")
hours = dt.hour
minute = dt.minute
there is one such function in pandas 熊猫有一种这样的功能
import pandas as pd
d = pd.to_datetime('<date_string>')
Using regex to cut string into ['year', 'month', 'day', 'hour', 'minutes', 'seconds']
then unpack it and fill into datetime class datetime.datetime(year, month, day, hour=0, minute=0, second=0, microsecond=0, tzinfo=None, *, fold=0)
, this is the fastest way I tested so far.使用正则表达式将字符串切割成['year', 'month', 'day', 'hour', 'minutes', 'seconds']
然后解压并填入 datetime class datetime.datetime(year, month, day, hour=0, minute=0, second=0, microsecond=0, tzinfo=None, *, fold=0)
,这是我目前测试最快的方式。
import re
import pandas as pd
import datetime
import timeit
def date2timestamp_anyformat(format_date):
numbers = ''.join(re.findall(r'\d+', format_date))
if len(numbers) == 8:
d = datetime.datetime(int(numbers[:4]), int(numbers[4:6]), int(numbers[6:8]))
elif len(numbers) == 14:
d = datetime.datetime(int(numbers[:4]), int(numbers[4:6]), int(numbers[6:8]), int(numbers[8:10]), int(numbers[10:12]), int(numbers[12:14]))
elif len(numbers) > 14:
d = datetime.datetime(int(numbers[:4]), int(numbers[4:6]), int(numbers[6:8]), int(numbers[8:10]), int(numbers[10:12]), int(numbers[12:14]), microsecond=1000*int(numbers[14:]))
else:
raise AssertionError(f'length not match:{format_date}')
return d.timestamp()
and speed test:和速度测试:
print('regex cut:\n',timeit.timeit(lambda: datetime.datetime(*map(int, re.split('-|:|\s', '2022-08-13 12:23:44.234')[:-1])).timestamp(), number=10000))
print('pandas to_datetime:\n', timeit.timeit(lambda: pd.to_datetime('2022-08-13 12:23:44.234').timestamp(), number=10000))
print('datetime with known format:\n',timeit.timeit(lambda: datetime.datetime.strptime('2022-08-13 12:23:44.234', '%Y-%m-%d %H:%M:%S.%f').timestamp(), number=10000))
print('regex get number first:\n',timeit.timeit(lambda: date2timestamp_anyformat('2022-08-13 12:23:44.234'), number=10000))
print('dateutil parse:\n', timeit.timeit(lambda: parser.parse('2022-08-13 12:23:44.234').timestamp(), number=10000))
result:结果:
regex cut:
0.040550945326685905
pandas to_datetime:
0.8012433210387826
datetime with known format:
0.09105705469846725
regex get number first:
0.04557646345347166
dateutil parse:
0.6404162347316742
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