add case in visualization routine: in measurementData file, if same simulationConditionId, but differing preequilibrationId etc.

in file 'get_data_to_plot.py', see ll. 92-102
TODO: Here not the case: So, if entries in measurement file: preequCondId, time, observableParams, noiseParams, observableTransf, noiseDistr are not the same, then -> differ these data into different groups!
now: go in simulationConditionId, search group of unique simulationConditionId
e.g. rows 0,6,12,18 share the same simulationCondId, then check if other column entries are the same (now: they are), then take intersection of rows 0,6,12,18 and checked other same columns (-> now: 0,6,12,18) and then go on with code.
if there is at some point a difference in other columns, say e.g. row 12,18 have different noiseParams than rows 0,6 the actual code would take rows 0,6 and forget about rows 12,18

Start in get_data_to_plot.py around lines 92-102 and inspect how rows sharing a simulationConditionId are grouped. Compare that logic with the listed preequCondId, time, observableParams, noiseParams, observableTransf, and noiseDistr fields. Done means rows with differing values in those fields remain in separate groups and are all processed.