• pandas生成指定间隔的连续时间列表


    pandas生成指定间隔的连续时间列表

    import pandas as pd
    print(pd.date_range("2020-12-09 10:26:01","2020-12-09 10:26:15",freq='S'))
    print(pd.date_range("2020-12-09 10:26:01","2020-12-09 10:26:15",freq='10S'))
    print(pd.date_range("2020-12-09 10:22:01","2020-12-09 10:26:02",freq='Min'))
    print(pd.date_range("2020-12-09 10:22:01","2020-12-09 15:26:02",freq='H'))
    print(pd.date_range("2020-12-09 10:22:01","2020-12-15 10:26:02",freq='D'))
    print(pd.date_range("2020-12-09 10:22:01","2020-12-31 10:26:02",freq='W'))
    print(pd.date_range("2020-01-09 10:22:01","2020-12-09 10:26:02",freq='M'))
    print(pd.date_range("2020-12-09 10:22:01","2030-12-09 10:26:02",freq='Y'))
    
    
    result:
    DatetimeIndex(['2020-12-09 10:26:01', '2020-12-09 10:26:02',
                   '2020-12-09 10:26:03', '2020-12-09 10:26:04',
                   '2020-12-09 10:26:05', '2020-12-09 10:26:06',
                   '2020-12-09 10:26:07', '2020-12-09 10:26:08',
                   '2020-12-09 10:26:09', '2020-12-09 10:26:10',
                   '2020-12-09 10:26:11', '2020-12-09 10:26:12',
                   '2020-12-09 10:26:13', '2020-12-09 10:26:14',
                   '2020-12-09 10:26:15'],
                  dtype='datetime64[ns]', freq='S')
    DatetimeIndex(['2020-12-09 10:22:01', '2020-12-09 10:23:01',
                   '2020-12-09 10:24:01', '2020-12-09 10:25:01',
                   '2020-12-09 10:26:01'],
                  dtype='datetime64[ns]', freq='T')
    DatetimeIndex(['2020-12-09 10:22:01', '2020-12-09 11:22:01',
                   '2020-12-09 12:22:01', '2020-12-09 13:22:01',
                   '2020-12-09 14:22:01', '2020-12-09 15:22:01'],
                  dtype='datetime64[ns]', freq='H')
    DatetimeIndex(['2020-12-09 10:22:01', '2020-12-10 10:22:01',
                   '2020-12-11 10:22:01', '2020-12-12 10:22:01',
                   '2020-12-13 10:22:01', '2020-12-14 10:22:01',
                   '2020-12-15 10:22:01'],
                  dtype='datetime64[ns]', freq='D')
    DatetimeIndex(['2020-12-13 10:22:01', '2020-12-20 10:22:01',
                   '2020-12-27 10:22:01'],
                  dtype='datetime64[ns]', freq='W-SUN')
    DatetimeIndex(['2020-01-31 10:22:01', '2020-02-29 10:22:01',
                   '2020-03-31 10:22:01', '2020-04-30 10:22:01',
                   '2020-05-31 10:22:01', '2020-06-30 10:22:01',
                   '2020-07-31 10:22:01', '2020-08-31 10:22:01',
                   '2020-09-30 10:22:01', '2020-10-31 10:22:01',
                   '2020-11-30 10:22:01'],
                  dtype='datetime64[ns]', freq='M')
    DatetimeIndex(['2020-12-31 10:22:01', '2021-12-31 10:22:01',
                   '2022-12-31 10:22:01', '2023-12-31 10:22:01',
                   '2024-12-31 10:22:01', '2025-12-31 10:22:01',
                   '2026-12-31 10:22:01', '2027-12-31 10:22:01',
                   '2028-12-31 10:22:01', '2029-12-31 10:22:01'],
                  dtype='datetime64[ns]', freq='A-DEC')
    
    

    freq 参数说明

    参数 必选 类型 说明
    S ture string 秒级
    Min ture string
    H ture string
    D ture string
    W ture string
    M ture string
    Y ture string

    注意:级别前面的数字表示多长时间间隔的(5H,就是5小时间隔)

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  • 原文地址:https://www.cnblogs.com/jruing/p/14107518.html
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