Functions related to subspace calculations...
def loos.pyloos.subspace.covarianceOverlap 
( 

ls, 



lU, 



rs, 



rU, 



nmodes = 0 

) 
 
Computes the covariance overlap between two subspaces.
Requires two sets of eigenvalues and corresponding
eigenvector matrices (eigenvectors in the columns).
Be sure that the eigenvalues are scaled appropriately
and that any zero modes are removed, such as when comparing
an ENM result with a PCA result.
Leaving nmodes as 0 will use ALL modes in the overlap.
>>> covarianceOverlap(b2ar_s, b2ar_U, rhod_s, rhod_U)
Definition at line 36 of file subspace.py.