add default value for shading

forecast.py

@@ -71,7 +71,7 @@ def get_forecast_datasets(climate_sub_files: list) -> dict:
 
 
 # Function to extract climate data from forecast datasets and convert to a DataFrame
-def get_forecast_data(latitude: float, longitude: float, scenario: str, shading_coef: float) -> pd.DataFrame:
+def get_forecast_data(latitude: float, longitude: float, scenario: str, shading_coef: float = 0) -> pd.DataFrame:
     """
     Extract climate data from the forecast datasets for a given location and convert to a DataFrame.
 
@@ -79,6 +79,7 @@ def get_forecast_data(latitude: float, longitude: float, scenario: str, shading_
         latitude(float): Latitude of the location to extract data for.
         longitude (float): Longitude of the location to extract data for.
         scenario (str): The scenario to extract data for.
+        shading_coef (float, optional): Shading coefficient to use. Defaults to 0 (for no shading)..
 
     Returns:
         pd.DataFrame: A DataFrame containing time series data for each variable.
@@ -114,7 +115,7 @@ def get_forecast_data(latitude: float, longitude: float, scenario: str, shading_
     return forecast_data
 
 
-def preprocess_forectast_data(df: pd.DataFrame, latitude, longitude, shading_coef=0) -> pd.DataFrame:
+def preprocess_forectast_data(df: pd.DataFrame, latitude, longitude, shading_coef) -> pd.DataFrame:
     assert 0 <= shading_coef <= 1
 
     preprocessed_data = df.copy()