Introduction kit
import datetime import numpy as np import pandas as pd
Overview
from IPython.display import Image from IPython.core.display import HTML Image(url= "https://i.stack.imgur.com/uiXQd.png")
A library .datetime
datetime library has four main target
Time - Time is limited, in hours, minutes, seconds and microseconds
date - Only in the month and day,
datetime - date and time of all components
timedelta - the amount of time the maximum number of days
(1) datetime create
(2)datetime转Timestamp
(3)datetime转np.datetime64
Two .pandas library
(1) Create a Timestamp
(2)Timestamp转datetime
Gets the date and time from the timestamp
(3)Timestamp转np.datetime64[s]
Three .numpy library
NumPy no separate date and time of the object, only a single object to represent datetime64 time. datetime datetime objects with microsecond precision module (millionths of a second). NumPy of datetime64 object allows you to accuracy from the number of hours has been set to attosecond (10 ^ -18). Its constructor a more flexible, various inputs.
(1) create numPy of datetime64 objects and timedelta64
(2)np.datetime64[s]转datetime64[ns]
(3)np.datetime64[s]转datetime.datetime
(4)np.datetime64[s]转Timestamp
参考文献:
【1】字符串转各种日期格式
【3】Pandas日期数据处理:如何按日期筛选、显示及统计数据
【4】python - 在datetime,Timestamp和datetime64之间转换