In this step, we will retreive the measured data from the file waterLevel_at_GaugingStation.csv as a time series. The function GetTimeSeriesFromCSVFile 
within the StandardFunctions library accomplishes this task, and returns a time series, which is a list composed by pairs of elements [datetime, value].
measuredTimeSeries = GetTimeSeriesFromCSVFile(rootPath + "\waterLevel_at_GaugingStation.csv")
Since the model has already been run, we can now obtain the water level time series at the calculation point Gauging Station (the same point where the imported data was measured ). This is done with the functions GetComputationGridLocationByName and GetTimeSeriesFromWaterFlowModel .
calculationPoint = GetComputationGridLocationByName(flowModel, "Gauging Station") waterlevelResults = GetTimeSeriesFromWaterFlowModel(flowModel, calculationPoint, "Water level")
Note: The icon 
indicates functions that you might find interesting to see how they have been built. You can do this by opening the corresponding library (another normal script python file on its own) in the toolbox and checking the code which defines the function or method you are interested in.
In this step, we will retreive the measured data from the file waterLevel_at_GaugingStation.csv as a time series. The function GetTimeSeriesFromCSVFile within the StandardFunctions library accomplishes this task, and returns a time series, which is a list composed by pairs of elements [datetime, value].
measuredTimeSeries = GetTimeSeriesFromCSVFile(rootPath + "\waterLevel_at_GaugingStation.csv")
Since the model has already been run, we can now obtain the water level time series at the calculation point Gauging Station (the same point where the imported data was measured ). This is done with the functions GetComputationGridLocationByName and
GetTimeSeriesFromWaterFlowModel
.
calculationPoint = GetComputationGridLocationByName(flowModel, "Gauging Station") waterlevelResults = GetTimeSeriesFromWaterFlowModel(flowModel, calculationPoint, "Water level")
Note: The icon indicates functions that you might find interesting to see how they have been built. You can do this by opening the corresponding library (another normal script python file on its own) in the toolbox and checking the code which defines the function or method you are interested in.
