`scipy.spatial.distance._distance:cityblock`

Signature

def cityblock(u, v, w = None)

Compute the City Block (Manhattan) distance.

Computes the Manhattan distance between two 1-D arrays u and v, which is defined as

i \sum ∣ u_{i} - v_{i} ∣ .

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

cityblock : double: The City Block (Manhattan) distance between vectors u and v.

from scipy.spatial import distance

✓

distance.cityblock([1, 0, 0], [0, 1, 0])
distance.cityblock([1, 0, 0], [0, 2, 0])
distance.cityblock([1, 0, 0], [1, 1, 0])

✗

np.int64(1)