flasc.data_processing.dataframe_manipulations.get_column_mean

flasc.data_processing.dataframe_manipulations.get_column_mean#

flasc.data_processing.dataframe_manipulations.get_column_mean(df: DataFrame | FlascDataFrame, col_prefix: str = 'pow', turbine_list: List[int] | ndarray | None = None, circular_mean: bool = False) → ndarray[source]#

Get the mean of a column for a list of turbines.

Parameters:

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

  • col_prefix (str, optional) -- Column prefix to use. Defaults to "pow".

  • turbine_list ([list, array], optional) -- List of turbine numbers to use. If None, all turbines are used. Defaults to None.

  • circular_mean (bool, optional) -- Use circular mean. Defaults to False.

Returns:

Mean of the column for the specified turbines.

Return type:

np.array