Python标准库中的datetime模块提供了丰富的日期和时间操作功能,我们可以利用该模块来计算一年前的日期。 importdatetime# 获取当前日期current_date=datetime.datetime.now()# 计算一年前的日期one_year_ago=current_date-datetime.timedelta(days=365)print("一年前的日期是:",one_year_ago) 1. 2. 3. 4. 5. 6...
fromdatetimeimportdatetime,timedelta# 获取当前日期current_date=datetime.now()# 计算一年前的日期one_year_ago=current_date-timedelta(days=365)# 获取一年前的月份last_year_month=one_year_ago.month# 打印当前日期与一年前的月份print("当前日期:",current_date.strftime("%Y-%m-%d"))print("一年前的月份:...
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defget_trading_dates(begin_date=None,end_date=None):""" togetthe listoftrading dates.ifthe begin_date is none,thengetthe date one year ago':param begin_date:beginning date:param end_date:ending date:return:a trading dates' list""" now=datetime.now()ifbegin_date is None:one_year_ago...
# 通过单独指定年月日等信息来创建 Timestamp 对象pd_time7 = pd.Timestamp(year=2024, month=2, day=1, hour=21)print(type(pd_time7),pd_time7)# 获取当前时间pd_time8 = pd.Timestamp("now")print(type(pd_time8),pd_time8)输出如下：3、获取时间内的时间属性 当我们获取到Timestamp对象后，就...
pendulum.now().subtract(days=1).diff_for_humans() # '1 day ago' pendulum.now().diff_for_humans(pendulum.now().subtract(years=1)) # '1 year after' dt = pendulum.datetime(2011, 8, 1) dt.diff_for_humans(dt.add(months=1)) ...
在datetime中新建时间对象可以直接使用datetime(y, m,d,tzinfo)输入参数,用datetime.now()获得当前时间,通过datetime.fromtimestamp(ts)可以将时间戳ts转为时间对象,生成的datetime时间对象在获取属性时用到的语句类似dt.year,有year/month/day/hour/second/tzinfo等可以用。tzinfo是时区属性,datetime在时区相关处理时通...
df["year"] = df["date"].dt.yeardf["month"] = df["date"].dt.monthdf["day"] = df["date"].dt.daydf["calendar"] = df["date"].dt.datedf["hour"] = df["date"].dt.timedf.head()""" date value year month day calendar hour0 1991-07-01 3.526591 1991 7 1 1991-07-01 00...
A year ago, we had Brett Cannon on the show to discuss his blog series about unravelling Python's syntactic sugar. Brett has written 15 more entries in the series, and he returns to the show this week to continue our conversation. We dive into unravelling 'async' and 'await' statements ...
1、MultiIndex MultiIndex是三维的数据结构; 多级索引(也称层次化索引)是pandas的重要功能,可以在Series、DataFrame对象上拥有2个以及2个以上的索引。 (1)multiIndex的特性 打印刚才的df的行索引结果 df sale year month 2012 1 55 2014 4 40 2013 7 84 2014 10 31 df.index MultiIndex(levels=[[2012, 2013, ...