flasc.data_processing.dataframe_manipulations.set_wd_by_turbines

flasc.data_processing.dataframe_manipulations.set_wd_by_turbines(df: DataFrame | FlascDataFrame, turbine_numbers: List[int]) → DataFrame | FlascDataFrame

Add WD column by list of turbines.

Add a column called 'wd' in your dataframe with value equal to the circular-averaged wind direction measurements of all the turbines in turbine_numbers.

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 'wd'.

Return type:

df (pd.DataFrame | FlascDataFrame)