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pandas.date_range¶
import pandas as pd
import datetimepd.date_range("2018-01-01", "2018-01-10")DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03', '2018-01-04',
'2018-01-05', '2018-01-06', '2018-01-07', '2018-01-08',
'2018-01-09', '2018-01-10'],
dtype='datetime64[ns]', freq='D')t1 = datetime.datetime.now()
t2 = datetime.datetime.now() + datetime.timedelta(days=10)
pd.date_range(t1, t2)DatetimeIndex(['2020-11-01 19:58:04.158545', '2020-11-02 19:58:04.158545',
'2020-11-03 19:58:04.158545', '2020-11-04 19:58:04.158545',
'2020-11-05 19:58:04.158545', '2020-11-06 19:58:04.158545',
'2020-11-07 19:58:04.158545', '2020-11-08 19:58:04.158545',
'2020-11-09 19:58:04.158545', '2020-11-10 19:58:04.158545',
'2020-11-11 19:58:04.158545'],
dtype='datetime64[ns]', freq='D')