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scipy.spatial.distance.hamming

scipy.spatial.distance.hamming(u, v)

Computes the Hamming distance between two 1-D arrays.

The Hamming distance between 1-D arrays u and v, is simply the proportion of disagreeing components in u and v. If u and v are boolean vectors, the Hamming distance is

$$\frac{c_{01} + c_{10}}{n}$$

where $c_{ij}$ is the number of occurrences of $\mathtt{u[k]} = i$ and $\mathtt{v[k]} = j$ for $k < n$.

Parameters:

u : (N,) array_like

Input array.

v : (N,) array_like

Input array.

Returns:

hamming : double

The Hamming distance between vectors u and v.