scipy.spatial.distance.
cityblock#
- scipy.spatial.distance.cityblock(u, v, w=None)[source]#
- Compute the City Block (Manhattan) distance. - Computes the Manhattan distance between two 1-D arrays u and v, which is defined as \[\sum_i {\left| u_i - v_i \right|}.\]- 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:
- cityblockdouble
- The City Block (Manhattan) distance between vectors u and v. 
 
 - Examples - >>> from scipy.spatial import distance >>> distance.cityblock([1, 0, 0], [0, 1, 0]) 2 >>> distance.cityblock([1, 0, 0], [0, 2, 0]) 3 >>> distance.cityblock([1, 0, 0], [1, 1, 0]) 1