scipy.spatial.distance.hamming¶

scipy.spatial.distance.
hamming
(u, v, w=None)[source]¶ Computes the Hamming distance between two 1D arrays.
The Hamming distance between 1D 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.
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: hamming : double
The Hamming distance between vectors u and v.