skbio.stats.distance.DistanceMatrix.from_iterable¶

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

Create DistanceMatrix from all pairs in an iterable given a metric.

State: Experimental as of 0.4.1.

Parameters:	iterable (iterable) – Iterable containing objects to compute pairwise distances on. metric (callable) – A function that takes two arguments and returns a float representing the distance 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 distance 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. validate (boolean, optional) – If True, all pairwise distances are computed, including upper and lower triangles and the diagonal, and the resulting matrix is validated for symmetry and hollowness. If False, metric is assumed to be hollow and symmetric and only the lower triangle (excluding the diagonal) is computed. Pass validate=False if you are sure metric is hollow and symmetric for improved performance.
Returns:	The metric applied to pairwise elements in the iterable.
Return type:	DistanceMatrix
Raises:	ValueError – If key and keys are both provided.