参考链接: Python strptime()
一, datetime.datetime()
import datetime
dt = datetime.datetime(year=2019,month...[ns]
四, pandas数据中to_datetime的运用
data = pd.read_csv('flowdata.csv')
data.head()
Out:
Time...0.113500 0.091250 0.016750
2009-01-01 09:00:00 0.135750 0.091500 0.016250
或者读取数据时,直接指定时间为数据的索引...(date, '%Y-%m-%d') for date in dates]
dates[:5]
[datetime.datetime(2016, 1, 1, 0, 0), datetime.datetime...(2016, 1, 2, 0, 0), datetime.datetime(2016, 1, 3, 0, 0), datetime.datetime(2016, 1, 4, 0, 0), datetime.datetime