flasc.data_processing.dataframe_manipulations.set_ti_by_all_turbines

flasc.data_processing.dataframe_manipulations.set_ti_by_all_turbines(df: DataFrame | FlascDataFrame) → DataFrame | FlascDataFrame

Add TI column using all turbines.

Add a column called 'ti' in your dataframe with value equal to the averaged turbulence intensity measurements of all turbines.

Parameters:

• df (pd.Dataframe | FlascDataFrame) -- Dataframe with measurements. This dataframe typically consists of wd_%03d, ws_%03d, ti_%03d, pow_%03d, and potentially additional measurements.

• turbine_numbers ([list, array]) -- List of turbine numbers that should be used to calculate the column average.

Returns:

Dataframe which equals the inserted dataframe plus the additional column called 'ti'.

Return type:

pd.Dataframe | FlascDataFrame