skbio.stats.distance.randdm#

skbio.stats.distance.randdm(num_objects, ids=None, constructor=None, random_fn=None)[source]#

Generate a distance matrix populated with random distances.

Using the default random_fn, distances are randomly drawn from a uniform distribution over [0, 1).

Regardless of random_fn, the resulting distance matrix is guaranteed to be symmetric and hollow.

Parameters:

num_objectsint: The number of objects in the resulting distance matrix. For example, if num_objects is 3, a 3x3 distance matrix will be returned.
idssequence of str or None, optional: A sequence of strings to be used as IDs. len(ids) must be equal to num_objects. If not provided, IDs will be monotonically-increasing integers cast as strings (numbering starts at 1). For example, ('1', '2', '3').
constructortype, optional: DissimilarityMatrix or subclass constructor to use when creating the random distance matrix. The returned distance matrix will be of this type. By default, a DistanceMatrix instance will be returned.
random_fnint, np.random.Generator or callable, optional: Functionfor generating random values. It must accept (n_rows, n_columns) and return a 2D array of float-like. Default is the random method of a NumPy random generator. If an integer is provided, a random generator will be constructed using this number as the seed.

Changed in version 0.6.3: Switched to NumPy’s new random generator. Can accept a random seed or random generator instance. The function takes one tuple parameter instead of two separate parameters.

Returns:

DissimilarityMatrix: DissimilarityMatrix (or subclass) instance of random distances. Type depends on constructor.