flasc.data_processing.dataframe_manipulations.set_ws_by_turbines

flasc.data_processing.dataframe_manipulations.set_ws_by_turbines#

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

Add ws column by list of turbines.

Add a column called 'ws' in your dataframe with value equal to the mean wind speed measurements of all the turbines in turbine_numbers.

Parameters:

  • df (pd.DataFrame | FlascDataFrame) -- Dataframe with measurements. This dataframe

  • wd_%03d (typically consists of)

  • ws_%03d

  • ti_%03d

  • pow_%03d

  • and

  • measurements. (potentially additional)

  • turbine_numbers ([list, array]) -- List of turbine numbers that

  • average. (should be used to calculate the column)

Returns:

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

Return type:

pd.DataFrame | FlascDataFrame