flasc.data_processing.dataframe_manipulations.set_wd_by_radius_from_turbine#
- flasc.data_processing.dataframe_manipulations.set_wd_by_radius_from_turbine(df, turb_no, x_turbs, y_turbs, max_radius, include_itself=True)[source]#
Add wind direction column by turbines in radius.
Add a column called 'wd' to your dataframe, which is the mean of the columns wd_%03d for turbines that are within radius [max_radius] of the turbine of interest [turb_no].
- Parameters:
df (pd.DataFrame) -- Dataframe with measurements. This dataframe typically consists of wd_%03d, ws_%03d, ti_%03d, pow_%03d, and potentially additional measurements.
turb_no (int) -- Turbine number from which the radius should be calculated.
x_turbs ([list, array]) -- Array containing x locations of turbines.
y_turbs ([list, array]) -- Array containing y locations of turbines.
max_radius (float) -- Maximum radius for the upstream turbines until which they are still considered as relevant/used for the calculation of the averaged column quantity.
include_itself (bool, optional) -- Include the measurements of turbine turb_no in the determination of the averaged column quantity. Defaults to False.
- Returns:
- Dataframe which equals the inserted dataframe
plus the additional column called 'wd'.
- Return type:
pd.DataFrame