When running the following simple single-shot routine called Example:
from lyse import *
run = Run(path)
run.save_result('result',{'a':1,'b':2})
the result is getting stored in the DataFrame to column ('Example','result') as {'a':1,'b':2}.
After removing and re-adding one shot, the data is then stored as column ('Example','result','a') containing 1 and column ('Example','result','b') containing 2.
I think this is mostly caused by storing the data from the h5 files to dictionaries and then using 'flat_dict_to_hierarchical_dataframe' in the 'dataframe_utilities' when reading a shot. This seems to work totally different to the methods in the main of lyse that usually update the dataframe.
Currently this is no problem to me, but in future I think this bug should be getting fixed.
When running the following simple single-shot routine called Example:
from lyse import *
run = Run(path)
run.save_result('result',{'a':1,'b':2})
the result is getting stored in the DataFrame to column ('Example','result') as {'a':1,'b':2}.
After removing and re-adding one shot, the data is then stored as column ('Example','result','a') containing 1 and column ('Example','result','b') containing 2.
I think this is mostly caused by storing the data from the h5 files to dictionaries and then using 'flat_dict_to_hierarchical_dataframe' in the 'dataframe_utilities' when reading a shot. This seems to work totally different to the methods in the main of lyse that usually update the dataframe.
Currently this is no problem to me, but in future I think this bug should be getting fixed.