DateTime : -microsecond DateTime : __add__(self, timedelta) timedelta : +days timedelta : +seconds timedelta : +microseconds timedelta : +milliseconds timedelta : +minutes timedelta : +hours timedelta : +weeks 上
参数范围: 0 <= microseconds < 1000000 0 <= seconds < 3600*24 (一天的秒数) -999999999 <= days <= 999999999 from datetime import datetime, timedelta # 创建一个时间间隔对象 delta = timedelta(days=5, hours=3, minutes=30) # 执行日期时间的加法运算 current_datetime = datetime.now() future_...
add_mins = datetime.today() + relativedelta(minutes=+6) add_seconds = datetime.today() + relativedelta(seconds=+6) print("Current Date Time:", datetime.today()) print("Add 6 days:", add_days) print("Add 6 months:", add_months) print("Add 6 years:", add_years) print("Add 6 h...
datetimeFormat)\-datetime.datetime.strptime(date2,datetimeFormat)print("Difference:",diff)print("Days:",diff.days)print("Microseconds:",diff.microseconds)print("Seconds:",diff.seconds)
def timeAdd(): ''' 时间的加减,前一天后一天等操作 datetime.timedelta([days[, seconds[, microseconds[, milliseconds[, minutes[, hours[, weeks]]]) 参数可以是正数也可以是负数 得到的对象可以加也可以减 乘以数字和求绝对值 ''' atime = timedelta(days=-1) now =...
sub_seconds =datetime.today() + relativedelta(seconds=-6) print("Current Date Time:",datetime.today()) print("Subtract 6 days:", add_days) print("Subtract 6 months:", add_months) print("Subtract 6 years:", add_years) print("Subtract 6 hours:", add_hours) ...
print(f'输出1个月前:{dt.diff_for_humans(dt.add(months=1))}') #5秒后 dt_sec = pendulum.now().add(seconds=5).diff_for_humans() print(f'输出5 秒后:{dt_sec}') #3周前 dt_wek = pendulum.now().subtract(days=24).diff_for_humans() ...
Python 中的 datetime 模块有 5 个主要类(模块的一部分): date 操作日期对象 time 操作时间对象 datetime 是日期和时间的组合 timedelta 允许我们使用时间区间 tzinfo 允许我们使用时区 此外,我们将使用 zoneinfo 模块,它为我们提供了一种处理时区的更加现代的方式,以及 dateutil 包,它包含许多有用的函数来处理日期...
class datetime.timedelta(days=0, seconds=0, microseconds=0, milliseconds=0, hours=0, weeks=0) 2.4.2:datetime.timedelta类属性 2.4.3:datetime.timedelta实例方法和属性 2.4.4:datetime.timedelta使用实例: import datetimeprint(datetime.timedelta.max) # 999999999 days, 23:59:59.999999print(datetime.timedel...
您需要通过dt访问序列中的date-time对象: df['secs'] = df['timedif'].dt.strftime("%S") 或者如果您使用的是timedelta: df['secs'] = df['timedif'].dt.total_seconds()