PEP8 style

Author: SabineHaas

windpowerlib/power_curves.py

@@ -168,7 +168,7 @@ def wake_losses_to_power_curve(power_curve_wind_speeds, power_curve_values,
             raise TypeError(
                 "'wind_farm_efficiency' must be a dictionary or " +
                 "pd.DataFrame if `wake_losses_method´ is '{}'".format(
-                                wake_losses_method))
+                    wake_losses_method))
         df = pd.concat([power_curve_df.set_index('wind_speed'),
                         wind_farm_efficiency.set_index('wind_speed')], axis=1)
         # Add by efficiency reduced power column (nan values of efficiency

windpowerlib/wake_losses.py

@@ -39,14 +39,15 @@ def reduce_wind_speed(wind_speed, wind_efficiency_curve_name='dena_mean'):
     """
     # Get wind efficiency curve
     wind_efficiency_curve = get_wind_efficiency_curve(
-            curve_name=wind_efficiency_curve_name)
+        curve_name=wind_efficiency_curve_name)
     # Get by wind efficiency reduced wind speed
     reduced_wind_speed = wind_speed * np.interp(
         wind_speed, wind_efficiency_curve['wind_speed'],
         wind_efficiency_curve['efficiency'])
     if isinstance(wind_speed, pd.Series):
-        reduced_wind_speed = pd.Series(data=wind_speed, index=wind_speed.index,
-                                       name='reduced_wind_speed')
+        reduced_wind_speed = pd.Series(
+            data=reduced_wind_speed, index=wind_speed.index,
+            name='reduced_wind_speed')
     return reduced_wind_speed
 
 
@@ -163,4 +164,4 @@ def display_wind_efficiency_curves():
         print(knorr_df)
 
 if __name__ == "__main__":
-   display_wind_efficiency_curves()
+    display_wind_efficiency_curves()