![](/img/trans.png)
[英]How can i convert column into days in csv having string values in years , months , weeks using Python Pandas?
[英]How do I convert days into years and months in python?
如何在python中將天轉換成年,月和日? 例如:某人的年齡為5538天。 我如何通過這樣的年月日來顯示該信息:15歲2個月零1天
print "Please enter your birthday"
bd_year = int(raw_input("Year: "))
bd_month = int(raw_input("Month: "))
bd_day = int(raw_input("Day: "))
from datetime import date
now = date.today()
birthdate = date(int(bd_year), int(bd_month), int(bd_day))
age_in_days = now - birthdate
print "Your age is %s" % age_in_days
如何從dateutil
庫中使用dateutil.relativedelta.relativedelta
? 例如:
from dateutil.relativedelta import relativedelta
rdelta = relativedelta(now, birthdate)
print 'Age in years - ', rdelta.years
print 'Age in months - ', rdelta.months
print 'Age in days - ', rdelta.days
在這里使用dateutil.relativedelta.relativedelta
非常有效:除了使用.months
或.days
。
因為rdelta.months會為您提供使用整年后的剩余月份,所以它不會為您提供實際的月份差異。 如果需要查看月份之間的差異,則應將年份轉換為月份。
def deltamonths(x):
rdelta = relativedelta(now, birthdate)
return rdelta.years*12 + rdelta.months
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.