import pandas as pd dates = pd.date_range(start="2018-10-01", periods=8, freq="B") dates1 = pd.date_range(start="2018-10-01", periods=8, freq="H") dates2 = pd.date_range(start="2018-10-01", periods=8, freq="S") print(dates) print(dates1) print(dates2) DatetimeIndex(['2018-10-01', '2018-10-02', '2018-10-03', '2018-10-04', '2018-10-05', '2018-10-08', '2018-10-09', '2018-10-10'], dtype='datetime64[ns]', freq='B') DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 01:00:00', '2018-10-01 02:00:00', '2018-10-01 03:00:00', '2018-10-01 04:00:00', '2018-10-01 05:00:00', '2018-10-01 06:00:00', '2018-10-01 07:00:00'], dtype='datetime64[ns]', freq='H') DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:00:01', '2018-10-01 00:00:02', '2018-10-01 00:00:03', '2018-10-01 00:00:04', '2018-10-01 00:00:05', '2018-10-01 00:00:06', '2018-10-01 00:00:07'], dtype='datetime64[ns]', freq='S')
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