pandas中Timestamp类用法 pandas中Timestamp类用法详解
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由于网上关于Timestamp类的资料比较少,而且官网上面介绍的很模糊,本文只是对如何创建Timestamp类对象进行简要介绍,详情请读者自行查阅文档。
以下有两种方式可以创建一个Timestamp对象:
1. Timestamp()的构造方法
import pandas as pd from datetime import datetime as dt p1=pd.Timestamp(2017,6,19) p2=pd.Timestamp(dt(2017,6,19,hour=9,minute=13,second=45)) p3=pd.Timestamp("2017-6-19 9:13:45") print("type of p1:",type(p1)) print(p1) print("type of p2:",type(p2)) print(p2) print("type of p3:",type(p3)) print(p3)
输出:
('type of p1:', <class 'pandas.tslib.Timestamp'>) 2017-06-19 00:00:00 ('type of p2:', <class 'pandas.tslib.Timestamp'>) 2017-06-19 09:13:45 ('type of p3:', <class 'pandas.tslib.Timestamp'>) 2017-06-19 09:13:45
2. to_datetime()方法
import pandas as pd from datetime import datetime as dt p4=pd.to_datetime("2017-6-19 9:13:45") p5=pd.to_datetime(dt(2017,6,19,hour=9,minute=13,second=45)) print("type of p4:",type(p4)) print(p4) print("type of p5:",type(p5)) print(p5)
输出:
('type of p4:', <class 'pandas.tslib.Timestamp'>) 2017-06-19 09:13:45 ('type of p5:', <class 'pandas.tslib.Timestamp'>) 2017-06-19 09:13:45
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