OrdinalElection# class OrdinalElection(experiment_id=None, election_id=None, culture_id=None, votes=None, label=None, num_voters: int | None = None, num_candidates: int | None = None, fast_import=False, frequency_matrix=None, params=None, **kwargs)[source]# Ordinal Election class. compute_distances(distance_id='swap', object_type=None)[source]# Return: distances between votes get_frequency_matrix(is_recomputed=False)[source]# Get frequency_matrix. get_potes(is_recomputed=False)[source]# Get potes. import_ordinal_election()[source]# Import ordinal election. is_condorcet()[source]# Check if election witness Condorcet winner prepare_instance(is_exported=None, is_aggregated=True)[source]# Prepares instance votes_to_agg_voterlikeness_vector()[source]# Converts ordinal votes to Borda vector. votes_to_pairwise_matrix() → ndarray[source]# Convert votes to pairwise matrix. votes_to_voterlikeness_matrix(vote_distance='swap') → ndarray[source]# convert VOTES to voter-likeness MATRIX convert_votes_to_potes(votes) → array[source]# Converts votes to positional votes (called potes)