Scale Values

%config Completer.use_jedi = False

Values can be associated to scales in one object instance. They are internally represented as pandas.Series.

from mcda.values import Values

values = Values([0, -2, 5, 10, 3])

Any type compatible with the pandas.Series constructor can be used to supply values.

from mcda import normalize

normalize(values).data

0    0.166667
1    0.000000
2    0.583333
3    1.000000
4    0.416667
dtype: float64

values.sort().data

3    10
2     5
4     3
0     0
1    -2
dtype: int64

values.is_within_scales

True

You can acess individual values and iterate over them as you would with an immutable mapping:

values[0]

<Value value=0 scale=QuantitativeScale(interval=[-2, 10])>

values[0].value

0

for k, v in values.items():
    print(f"{k} -> {v}")

0 -> Value(value=0, scale=QuantitativeScale(interval=[-2, 10]))
1 -> Value(value=-2, scale=QuantitativeScale(interval=[-2, 10]))
2 -> Value(value=5, scale=QuantitativeScale(interval=[-2, 10]))
3 -> Value(value=10, scale=QuantitativeScale(interval=[-2, 10]))
4 -> Value(value=3, scale=QuantitativeScale(interval=[-2, 10]))