我正在尝试从字符串中提取日期信息。该字符串可能类似于:
我想提取:
我开始像这样工作:
publishedWhen = '1 year 1 month and 1 days and 1 hour'
y,m,d,h = 0,0,0,0
if 'day ' in publishedWhen:
d = int(publishedWhen.split(' day ')[0])
if 'days ' in publishedWhen:
d = int(publishedWhen.split(' days ')[0])
if 'days ' not in publishedWhen and 'day ' not in publishedWhen:
d = 0
if 'month ' in publishedWhen:
m = int(publishedWhen.split(' month ')[0])
d = int(publishedWhen.replace(publishedWhen.split(' month ')[0] + ' month ','').replace('and','').replace('days','').replace('day',''))
if 'months ' in publishedWhen:
m = int(publishedWhen.split(' months ')[0])
但是,我知道该代码存在很多错误(某些情况下可能未考虑在内),而正则表达式可能会产生更整洁有效的内容。这是真的?哪个正则表达式可以帮助我提取所有这些信息?
答案 0 :(得分:5)
您don't have to use re\gular expres{2}ions?,而是在Python软件包索引中查看了非常丰富的第三方软件包库。
例如,您可以使用dateparser
(用于解析人类可读日期)和CustomerClassifier
(用于relative delta object)的组合:
dateutil
打印:
from datetime import datetime
import dateparser as dateparser
from dateutil.relativedelta import relativedelta
BASE_DATE = datetime(2018, 1, 1)
def get_relative_date(date_string):
parsed_date = dateparser.parse(date_string, settings={"RELATIVE_BASE": BASE_DATE})
return relativedelta(parsed_date, BASE_DATE)
date_strings = [
"5 months and 17 hours",
"1 month and 19 days",
"3 months and 1 day",
"2 years 1 month and 2 days",
"1 year 1 month and 1 days and 1 hour"
]
for date_string in date_strings:
delta = get_relative_date(date_string)
print(f"y={abs(delta.years)} m={abs(delta.months)} d={abs(delta.days)} h={abs(delta.hours)}")
我不特别喜欢需要使用一些基准日期来执行增量,并且非常确定有一个可以直接解析为增量对象的程序包。打开任何建议。