scipy.spatial.distance.
canberra#
- 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