scipy.spatial.distance.braycurtis¶

scipy.spatial.distance.braycurtis(u, v, w=None)[source]

Compute the Bray-Curtis distance between two 1-D arrays.

Bray-Curtis distance is defined as

$\sum{|u_i-v_i|} / \sum{|u_i+v_i|}$

The Bray-Curtis distance is in the range [0, 1] if all coordinates are positive, and is undefined if the inputs are of length zero.

Parameters: u : (N,) array_like Input array. v : (N,) array_like Input array. w : (N,) array_like, optional The weights for each value in u and v. Default is None, which gives each value a weight of 1.0 braycurtis : double The Bray-Curtis distance between 1-D arrays u and v.

Examples

>>> from scipy.spatial import distance
>>> distance.braycurtis([1, 0, 0], [0, 1, 0])
1.0
>>> distance.braycurtis([1, 1, 0], [0, 1, 0])
0.33333333333333331


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