在上述方法中,datetime.combine()和datetime.strptime()是最常用的两种方式。datetime.combine()方法适用于你已经有一个date对象,并且想要为其添加一个默认的时间(通常是time()返回的午夜时间)。而datetime.strptime()方法则更适用于从字符串格式的日期中创建datetime对象。 此外,如果你需要对转换后的datetime对象进行格...
In [26]: datetime.strptime(value, '%Y-%m-%d') Out[26]: datetime.datetime(2011, 1, 3, 0, 0) In [27]: datestrs = ['7/6/2011', '8/6/2011'] In [28]: [datetime.strptime(x, '%m/%d/%Y') for x in datestrs] Out[28]: [datetime.datetime(2011, 7, 6, 0, 0), datetime...
from datetime import * new_date = date(2018, 1, 1) >>>new_date #显示日期 datetime.date(2018, 1, 1) >>>new_date.today() #显示今天日期 datetime.date(2018, 11, 5) >>>new_date.ctime() #返回字符串,与datetime.time.ctime()格式相同 'Mon Jan 1 00:00:00 2018' >>>new_date.repla...
1.date转为datetime类型,使用datetime的combine(): >>>fromdatetimeimportdatetime,date,time>>> d = date(2011,7,14)>>> dt =datetime.combine(d,time())>>> dt datetime.datetime(2011, 7, 14, 0, 0) 2. datetime转为date类型,使用datetime的date(): >>> d1 =dt.date()>>> d1 datetime.date...
result:'2012-11-19'# 3.datetime转时间戳>>>time_time = time.mktime(date_time.timetuple())>>>time_time result:1353254400.0# 4.时间戳转string>>>time.strftime('%Y-%m-%d',time.localtime(time_time)) result:'2012-11-19'# 5.date转datetime>>>date = datetime.date.today()>>>date ...
datetime 对象 datetime_object = datetime.strptime(date_string, format_string) print(datetime_object...
# 生成datetime对象t=datetime(2024,2,23,13,49,54)# %Y-年 %m-月 %d-日 %H-时 %M-分 %S-秒...
# 字符串类型转换为 datetime64[ns] 类型df['a_col']=pd.to_datetime(df['a_col'])# datetime.date 类型转换为 datetime64[ns] 类型df['b_col']=pd.to_datetime(df['b_col'])# 时间戳(float) 类型转换为 datetime64[ns] 类型df['c_col']=pd.to_datetime(df['c_col'].apply(lambdax:time...
datetime.date.today() yesterday = today - datetime.timedelta(days=1) tommorrow = today + datetime.timedelta(days=1) print('\n今天:%s,昨天:%s,明天:%s'%(today,yesterday,tomorrow)) #任意时间字符串转为datetime today_8 = str(today)[0:10]+' 08:00:00' today_8_time = datetime.datetime....