def normalized_current_datehour()

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

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

def normalized_current_datehour(datetime_col, min_datehour, max_datehour):
    """
    Temporal feature indicating the position of the hour of a record in the
    entire time period under consideration, normalized to be between 0 and 1.
    
    Args:
        datetime_col: Datetime column.
        min_datehour: minimum value of datehour.
        max_datehour: maximum value of datehour.

    Returns:
        float: the position of the current datehour in the min_datehour:max_datehour range
    """
    current_datehour = (datetime_col - min_datehour).apply(lambda x: x.days * 24 + x.seconds / 3600)

    max_min_diff = max_datehour - min_datehour

    if max_min_diff != 0:
        current_datehour = current_datehour / (max_min_diff.days * 24 + max_min_diff.seconds / 3600)
    else:
        current_datehour = pd.Series([0 for x in range(len(datetime_col))])

    return current_datehour