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# scipy.spatial.distance.mahalanobis

`scipy.spatial.distance.``mahalanobis`(u, v, VI)

  Computes the Mahalanobis distance between two 1-D arrays.

  The Mahalanobis distance between 1-D arrays u and v, is defined as

  \[\sqrt{ (u-v) V^{-1} (u-v)^T }\]

  where `V` is the covariance matrix. Note that the argument VI is the inverse of `V`.

  Parameters: | u : (N,) array_like Input array. v : (N,) array_like Input array. VI : ndarray The inverse of the covariance matrix.
  Returns: | mahalanobis : double The Mahalanobis distance between vectors u and v.