datetime.now()用于获取当前的日期和时间
print pd.datetime.now()
#encoding:utf8 import pandas as pd print("(pd.datetime.now()):") print (pd.datetime.now()) time = pd.Timestamp('2018-11-01') print("time = pd.Timestamp('2018-11-01')") print(time) time = pd.Timestamp(1588686880,unit='s') print("pd.Timestamp(1588686880,unit='s'):") print(time) time = pd.date_range("12:00", "23:59", freq="30min").time print("pd.date_range('12:00', '23:59', freq='30min').time") print(time) time = pd.date_range("12:00", "23:59", freq="H").time print("freq=;H;") print(time) #要转换类似日期的对象(例如字符串，时代或混合)的序列或类似列表的对象，可以使用to_datetime函数。 # 当传递时将返回一个Series(具有相同的索引)，而类似列表被转换为DatetimeIndex print("================================================================") time = pd.to_datetime(pd.Series(['Jul 31, 2009','2019-10-10', None])) print(time) D:\Download\python3\python3.exe D:/Download/pycharmworkspace/s.py (pd.datetime.now()): 2018-05-26 21:16:50.838958 time = pd.Timestamp('2018-11-01') 2018-11-01 00:00:00 pd.Timestamp(1588686880,unit='s'): 2020-05-05 13:54:40 pd.date_range('12:00', '23:59', freq='30min').time [datetime.time(12, 0) datetime.time(12, 30) datetime.time(13, 0) datetime.time(13, 30) datetime.time(14, 0) datetime.time(14, 30) datetime.time(15, 0) datetime.time(15, 30) datetime.time(16, 0) datetime.time(16, 30) datetime.time(17, 0) datetime.time(17, 30) datetime.time(18, 0) datetime.time(18, 30) datetime.time(19, 0) datetime.time(19, 30) datetime.time(20, 0) datetime.time(20, 30) datetime.time(21, 0) datetime.time(21, 30) datetime.time(22, 0) datetime.time(22, 30) datetime.time(23, 0) datetime.time(23, 30)] freq=;H; [datetime.time(12, 0) datetime.time(13, 0) datetime.time(14, 0) datetime.time(15, 0) datetime.time(16, 0) datetime.time(17, 0) datetime.time(18, 0) datetime.time(19, 0) datetime.time(20, 0) datetime.time(21, 0) datetime.time(22, 0) datetime.time(23, 0)] ================================================================ 0 2009-07-31 1 2019-10-10 2 NaT dtype: datetime64[ns] Process finished with exit code 0