Add deprecation warning for decprecated function parameter

Author: SabineHaas

windpowerlib/power_curves.py

@@ -11,6 +11,7 @@
 import numpy as np
 import pandas as pd
 from windpowerlib import tools
+import warnings
 
 
 def smooth_power_curve(power_curve_wind_speeds, power_curve_values,
@@ -204,6 +205,9 @@ def wake_losses_to_power_curve(power_curve_wind_speeds, power_curve_values,
         and the corresponding power curve value in W.
 
     """
+    warnings.warn(
+        'wake_losses_model is deprecated.',
+        FutureWarning)
     # Create power curve DataFrame
     power_curve_df = pd.DataFrame(
         data=[list(power_curve_wind_speeds),

windpowerlib/wind_turbine.py

@@ -246,9 +246,9 @@ def isfloat(x):
         df = pd.read_csv(file_, index_col=0)
     except FileNotFoundError:
         raise FileNotFoundError("The file '{}' was not found.".format(file_))
-    # todo: note: this try except statement will be removed in 0.2.0 and only
-    #  the exception will stay. The example power (coefficient) curve files
-    #  will then be adapted
+    # note: this try except statement will be removed in 0.2.0 and only
+    # the exception will stay. The example power (coefficient) curve files
+    # will then be adapted
     try:
         wpp_df = df[df['turbine_id'] == turbine_type]
     except KeyError:
@@ -267,9 +267,9 @@ def isfloat(x):
     df = curve_data.transpose().reset_index()
     df.columns = ['wind_speed', 'value']
     df['wind_speed'] = df['wind_speed'].apply(lambda x: float(x))
-    # todo: note: this try except statement will be removed in 0.2.0 and only
-    #  the exception will stay. The example power (coefficient) curve files
-    #  will then be adapted
+    # note: this try except statement will be removed in 0.2.0 and only
+    # the exception will stay. The example power (coefficient) curve files
+    # will then be adapted
     try:
         nominal_power = wpp_df['p_nom'].iloc[0]
     except KeyError: