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我每小时都有一个分组值的熊猫数据框

2020.05.05 17:00:00  cpu_usage_specint        4.354603
                     phys_iops             3075.779680
                     total_memory         13843.480000
2020.05.05 18:00:00  cpu_usage_specint        3.670237
                     phys_iops             3403.007340
                                              ...     
2020.05.11 22:00:00  phys_iops            30459.577340
                     total_memory         28851.025000
2020.05.11 23:00:00  cpu_usage_specint        1.903852
                     phys_iops             8161.811320
                     total_memory         28827.575000

the index is a MultiIndex([('2020.05.05 17:00:00', 'cpu_usage_specint'),
            ('2020.05.05 17:00:00',         'phys_iops'),
            ('2020.05.05 17:00:00',      'total_memory'),
            ('2020.05.05 18:00:00', 'cpu_usage_specint'),
            ('2020.05.05 18:00:00',         'phys_iops'),
            ('2020.05.05 18:00:00',      'total_memory'),
            ('2020.05.05 19:00:00', 'cpu_usage_specint'),
            ('2020.05.05 19:00:00',         'phys_iops'),
            ('2020.05.05 19:00:00',      'total_memory'),
            ('2020.05.05 20:00:00', 'cpu_usage_specint'),
            ...
            ('2020.05.11 20:00:00',      'total_memory'),
            ('2020.05.11 21:00:00', 'cpu_usage_specint'),
            ('2020.05.11 21:00:00',         'phys_iops'),
            ('2020.05.11 21:00:00',      'total_memory'),
            ('2020.05.11 22:00:00', 'cpu_usage_specint'),
            ('2020.05.11 22:00:00',         'phys_iops'),
            ('2020.05.11 22:00:00',      'total_memory'),
            ('2020.05.11 23:00:00', 'cpu_usage_specint'),
            ('2020.05.11 23:00:00',         'phys_iops'),
            ('2020.05.11 23:00:00',      'total_memory')],

例如，我想要每小时每个指标的特定值

for date in metrics_pivot_df.index.get_level_values('date').unique():
    print('this is the date',date)

这给了我日期，但我也想要说 total_memory 的值，所以我可以进行一些测试，例如 >= 等，但是我不知道如何获得该值？我尝试过引用“mertic”列，但是当我尝试进行查询时，这会返回真/假

非常感谢任何帮助

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1 回答 1

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我只见树木不见森林

for date in metrics_pivot_df.index.get_level_values('date').unique():
    print('this is a specific date',date, metrics_pivot_df.loc[date, 'cpu_usage_specint'])

解决了

于 2020-09-30T08:38:51.077 回答