i have a pandas dataframe of grouped values every hour
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')],
i want the specific value for each metric for each hour for example
for date in metrics_pivot_df.index.get_level_values('date').unique():
print('this is the date',date)
which gives me the date but i want the value for say total_memory too so i can do some tests such as >= etc however i dunno how to get the value? i have tried ref the column 'mertic' but this comes back true/false when i try and do a query
any help much appreciated
i couldn't see the wood for the trees
solved it