matrix.Matrix.batch_add_data

Matrix.batch_add_data(choices_and_values: dict[str, dict[str, float]])

For multiple choices, add criterion data. If the length of either list is different, the extra items in the longer list is ignored.

Parameters

choices_and_values (dict[str, dict[str, float]]) – The nested dictionary that maps the choices to another dictionary. The inner dictionary maps the criteria to the data.

Examples

>>> import matrix
>>> m = matrix.Matrix()  # No need to add choices
>>> m.add_continuous_criterion('size', weight=4)
>>> m.add_continuous_criterion('price', weight=8)
>>> m.if_(price=0).then(score=10)
>>> m.if_(price=10).then(score=0)
>>> m.if_(size=0).then(score=0)
>>> m.if_(size=10).then(score=10)
>>> m.batch_add_data({
...     'apple': {'price': 8, 'size': 5},
...     'orange': {'price': 5, 'size': 3}
... })
>>> m
|        |   size |   price | Percentage         |
|:-------|-------:|--------:|:-------------------|
| Weight |      4 |       8 |                    |
| apple  |      5 |       2 | 30.0               |
| orange |      3 |       5 | 43.333333333333336 |
>>> m.data_df
        price  size
apple       8     5
orange      5     3

Note

This method has time complexity O(n) in respect to the number of continuous criteria.

matrix.Matrix.add_data matrix.Matrix.update_weight