@@ -169,14 +169,16 @@ def wake_losses_to_power_curve(power_curve_wind_speeds, power_curve_values,
169169 if wake_losses_method == 'constant_efficiency' :
170170 if not isinstance (wind_farm_efficiency , float ):
171171 raise TypeError ("'wind_farm_efficiency' must be float if " +
172- "`wake_losses_method´ is '{0}'" )
172+ "`wake_losses_method´ is '{}'" .format (
173+ wake_losses_method ))
173174 power_curve_df ['power' ] = power_curve_values * wind_farm_efficiency
174175 elif wake_losses_method == 'power_efficiency_curve' :
175176 if (not isinstance (wind_farm_efficiency , dict ) and
176177 not isinstance (wind_farm_efficiency , pd .DataFrame )):
177178 raise TypeError (
178179 "'wind_farm_efficiency' must be a dictionary or " +
179- "pd.DataFrame if `wake_losses_method´ is '{0}'" )
180+ "pd.DataFrame if `wake_losses_method´ is '{}'" .format (
181+ wake_losses_method ))
180182 df = pd .concat ([power_curve_df .set_index ('wind_speed' ),
181183 wind_farm_efficiency .set_index ('wind_speed' )], axis = 1 )
182184 # Add by efficiency reduced power column (nan values of efficiency
@@ -189,7 +191,7 @@ def wake_losses_to_power_curve(power_curve_wind_speeds, power_curve_values,
189191 power_curve_df .columns = ['wind_speed' , 'power' ]
190192 else :
191193 raise ValueError (
192- "`wake_losses_method` is {0 } but should be " .format (
194+ "`wake_losses_method` is {} but should be " .format (
193195 wake_losses_method ) +
194196 "'constant_efficiency' or 'power_efficiency_curve'" )
195197 return power_curve_df
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