scipy.spatial.distance.
cosine#
- scipy.spatial.distance.cosine(u, v, w=None)[source]#
- Compute the Cosine distance between 1-D arrays. - The Cosine distance between u and v, is defined as \[1 - \frac{u \cdot v} {\|u\|_2 \|v\|_2}.\]- where \(u \cdot v\) is the dot product of \(u\) and \(v\). - Parameters:
- u(N,) array_like of floats
- Input array. - Deprecated since version 1.15.0: Complex u is deprecated and will raise an error in SciPy 1.17.0 
- v(N,) array_like of floats
- Input array. - Deprecated since version 1.15.0: Complex v is deprecated and will raise an error in SciPy 1.17.0 
- w(N,) array_like of floats, optional
- The weights for each value in u and v. Default is None, which gives each value a weight of 1.0 
 
- Returns:
- cosinedouble
- The Cosine distance between vectors u and v. 
 
 - Examples - >>> from scipy.spatial import distance >>> distance.cosine([1, 0, 0], [0, 1, 0]) 1.0 >>> distance.cosine([100, 0, 0], [0, 1, 0]) 1.0 >>> distance.cosine([1, 1, 0], [0, 1, 0]) 0.29289321881345254