def normalized_current_date()

in fclib/fclib/feature_engineering/feature_utils.py [0:0]

• 8 lines of code
• 3 McCabe index (conditional complexity)

def normalized_current_date(datetime_col, min_date, max_date):
    """
    Temporal feature indicating the position of the date of a record in the
    entire time period under consideration, normalized to be between 0 and 1.
    
    Args:
        datetime_col: Datetime column.
        min_date: minimum value of date.
        max_date: maximum value of date.

    Returns:
        float: the position of the current date in the min_date:max_date range
    """
    date = datetime_col # .dt.date
    current_date = (date - min_date) # .apply(lambda x: x.days)

    if max_date != min_date:
        current_date = current_date / (max_date - min_date) # .days
    else:
        current_date = pd.Series([0 for x in range(len(datetime_col))])

    return current_date