skbio.stats.distance.DissimilarityMatrix.from_iterable¶

classmethod DissimilarityMatrix.from_iterable(iterable, metric, key=None, keys=None)[source]¶

Create DissimilarityMatrix from an iterable given a metric.

State: Experimental as of 0.5.1.

Parameters:	iterable (iterable) – Iterable containing objects to compute pairwise dissimilarities on. metric (callable) – A function that takes two arguments and returns a float representing the dissimilarity between the two arguments. key (callable or metadata key, optional) – A function that takes one argument and returns a string representing the id of the element in the dissimilarity matrix. Alternatively, a key to a metadata property if it exists for each element in the iterable. If None, then default ids will be used. keys (iterable, optional) – An iterable of the same length as iterable. Each element will be used as the respective key.
Returns:	The metric applied to all pairwise elements in the iterable.
Return type:	DissimilarityMatrix
Raises:	ValueError – If key and keys are both provided.