Thedatetimeobject has a method for formatting date objects into readable strings. The method is calledstrftime(), and takes one parameter,format, to specify the format of the returned string: Example Display the
from datetime import date, timedelta current_date = date.today().isoformat() days_before = (date.today()-timedelta(days=30)).isoformat() print("\nCurrent Date: ",current_date) print("30 days before current date: ",days_before) Output: Current Date: 2019-11-02 30 days before current ...
year <= MAXYEAR 1 <= month <= 12 1 <= day <= 给定年月对应的天数 ===''' date1 = date(2022, 10, 24) print(date1) '''=== 主要方法有:date.today() date.fromisoformat(date_string) str()、date.strftime(format) ===''' ## date.today() 返回当天的日期 today = date.today()...
format)print("Newly created DateTime object : ")print(date_obj)date_object_back_to_string = date_obj.strftime(format)print("Converted datetime object back to string : {}".format(date_object_back_to_string));#PYTHON OUTPUT
classmethod datetime.strptime(date_string, format):返回对应于date_string的datetime,根据format进行解析。这相当于datetime(*(time.strptime(date_string, format)[0:6]))如果time.strptime()无法解析date_string和format,或者如果返回的值不是时间元组,则会引发ValueError。
For a naive object, the %z and %Z format codes are replaced by empty strings. For an aware object: %z utcoffset() is transformed into a string of the form ±HHMM[SS[.ffffff]], where HH is a 2-digit string giving the number of UTC offset hours, MM is a 2-digit string giving...
datetimeformat_string="%Y-%m-%d%H:%M:%S"datetime_obj=datetime.strptime(date_string,format_string)...
Help on built-in function strptime in module time:strptime(...)strptime(string, format) -> struct_timeParse a string to a time tuple according to a format specification.See the library reference manual for formatting codes (same asstrftime()).Commonly used format codes:Y Year ...
date()返回了今天的日期的年、月、日。 接收函数返回值时,用对应返回值数量的变量来分别接收它们。 year, month, day = date() year 2019 month 9 day 4 函数返回多个返回值是什么原理呢?其实多返回值时,Python 将这些返回值包装成了元组,然后将元组返回。来验证下: ...
正所谓“一图胜千言”,数据可视化是数据科学中重要的一项工作,在面对海量的大数据中,如果没有图表直观的展示复杂数据,我们往往会摸不着头脑。通过可视化的图表可以直观了解数据潜藏的重要信息,以便在业务和决策中发现数据背后的价值! 常用的可视化库 1、Matplotlib ...