scipy.spatial.distance.
euclidean#
- scipy.spatial.distance.euclidean(u, v, w=None)[source]#
- Computes the Euclidean distance between two 1-D arrays. - The Euclidean distance between 1-D arrays u and v, is defined as \[ \begin{align}\begin{aligned}{\|u-v\|}_2\\\left(\sum{(w_i |(u_i - v_i)|^2)}\right)^{1/2}\end{aligned}\end{align} \]- 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:
- euclideandouble
- The Euclidean distance between vectors u and v. 
 
 - Examples - >>> from scipy.spatial import distance >>> distance.euclidean([1, 0, 0], [0, 1, 0]) 1.4142135623730951 >>> distance.euclidean([1, 1, 0], [0, 1, 0]) 1.0