`scipy.spatial.distance:braycurtis`

Signature

def braycurtis(u, v, w = None)

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.

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.

from scipy.spatial import distance

✓

distance.braycurtis([1, 0, 0], [0, 1, 0])
distance.braycurtis([1, 1, 0], [0, 1, 0])

✗

np.float64(0.3333333333333333)