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:

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:	DissimilarityMatrix The metric applied to all pairwise elements in the iterable.
Raises:	ValueError If key and keys are both provided.

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:

DissimilarityMatrix

The metric applied to all pairwise elements in the iterable.

Raises:

ValueError

If key and keys are both provided.