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# skbio.diversity.partial_beta_diversity

`skbio.diversity.``partial_beta_diversity`(metric, counts, ids, id_pairs, validate=True, **kwargs)

  Compute distances only between specified ID pairs

  Note

  Deprecated as of 0.5.0 for removal in 0.6.0. The return type is unstable. Developer caution is advised. The resulting DistanceMatrix object will include zeros when distance has not been calculated, and therefore can be misleading.

  Parameters:

  - metric (str or callable) – The pairwise distance function to apply. If `metric` is a string, it must be resolvable by scikit-bio (e.g., UniFrac methods), or must be callable.
  - counts (2D array_like of ints or floats) – Matrix containing count/abundance data where each row contains counts of OTUs in a given sample.
  - ids (iterable of strs) – Identifiers for each sample in `counts`.
  - id_pairs (iterable of tuple) – An iterable of tuples of IDs to compare (e.g., `[('a', 'b'), ('a', 'c'), ...])`. If specified, the set of IDs described must be a subset of `ids`.
  - validate (bool, optional) – See `skbio.diversity.beta_diversity` for details.
  - kwargs (kwargs, optional) – Metric-specific parameters.

  Returns: | Distances between pairs of samples indicated by id_pairs. Pairwise distances not defined by id_pairs will be 0.0. Use this resulting DistanceMatrix with caution as 0.0 is a valid distance.
  Return type: | skbio.DistanceMatrix
  Raises: | `ValueError` – If `ids` are not specified. If `id_pairs` are not a subset of `ids`. If `metric` is not a callable or is unresolvable string by scikit-bio. If duplicates are observed in `id_pairs`.

  See also

  `skbio.diversity.beta_diversity()`, `skbio.diversity.get_beta_diversity_metrics()`