我有一个每小时分组值的 pandas 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,我想要每个指标每小时的具体值
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total_memory的值,这样我可以做一些测试,例如> =等,但我不知道如何获取该值?我已经尝试引用“mertic”列,但是当我尝试执行查询时,这会返回 true/false
非常感谢任何帮助
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