generate_cyclical_features

def generate_cyclical_features(df, col_name, period, start_num=0):
    kwargs = {
        f'sin_{col_name}' : lambda x: np.sin(2*np.pi*(df[col_name]-start_num)/period),
        f'cos_{col_name}' : lambda x: np.cos(2*np.pi*(df[col_name]-start_num)/period)    
             }
    return df.assign(**kwargs).drop(columns=[col_name])

df_features = generate_cyclical_features(df_features, 'hour', 24, 0)
# df_features = generate_cyclical_features(df_features, 'day_of_week', 7, 0)
# df_features = generate_cyclical_features(df_features, 'month', 12, 1)
# df_features = generate_cyclical_features(df_features, 'week_of_year', 52, 0)

df_features