scipy.spatial.distance.cityblock¶
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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