scipy.spatial.distance.canberra¶
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scipy.spatial.distance.canberra(u, v, w=None)[source]¶ Compute the Canberra distance between two 1-D arrays.
The Canberra distance is defined as
\[d(u,v) = \sum_i \frac{|u_i-v_i|} {|u_i|+|v_i|}.\]- 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
- Returns
- canberradouble
The Canberra distance between vectors u and v.
Notes
When u[i] and v[i] are 0 for given i, then the fraction 0/0 = 0 is used in the calculation.
Examples
>>> from scipy.spatial import distance >>> distance.canberra([1, 0, 0], [0, 1, 0]) 2.0 >>> distance.canberra([1, 1, 0], [0, 1, 0]) 1.0