skcriteria.base module

Module containing the basic functionality for the data representation used inside Scikit-Criteria.

class skcriteria.base.Data(mtx, criteria, weights=None, anames=None, cnames=None, meta=None)[source]

Bases: object

Multi-Criteria data representation.

This make easy to manipulate:

  • The matrix of alternatives. (mtx)
  • The array with the sense of optimality of every criteria (criteria).
  • Optional weights of the criteria (weights)
  • Optional names of the alternatives (anames) and the criteria (cnames)
  • Optional metadata (meta)
Attributes:
anames

Names of the alternatives as tuple of string.

cnames

Names of the criteria as tuple of string.

criteria

Sense of optimality of every criteria

meta

Dict-like metadata

mtx

Alternative matrix as 2d numpy.ndarray.

weights

Relative importance of the criteria or None if all the same

Methods

plot alias of skcriteria.plot.DataPlotMethods
raw() Return a (mtx, criteria, weights, anames, cnames) tuple
to_str(**params) String representation of the Data object.
anames

Names of the alternatives as tuple of string.

cnames

Names of the criteria as tuple of string.

criteria

Sense of optimality of every criteria

meta

Dict-like metadata

mtx

Alternative matrix as 2d numpy.ndarray.

plot

alias of skcriteria.plot.DataPlotMethods

raw()[source]

Return a (mtx, criteria, weights, anames, cnames) tuple

to_str(**params)[source]

String representation of the Data object.

Parameters:
kwargs :

Parameters to configure tabulate
Returns:
str :

String representation of the Data object.
weights

Relative importance of the criteria or None if all the same