[Numpy-discussion] linalg.eigh() newbie doubt
Mon Mar 31 10:23:48 CDT 2008
w : 1-d double array
The eigenvalues. The eigenvalues are not necessarily ordered.
v : 2-d double or complex double array, depending on input array
The normalized eigenvector corresponding to the eigenvalue w[i]
the column v[:,i].
so, yes, the eigvec coresponding to the eigval w[i] is v[:,i].
On Mon, Mar 31, 2008 at 4:43 PM, gordon <firstname.lastname@example.org> wrote:
> i was trying the linalg.eigh()
> when i apply eigh() on a covariance matrix (an ndarray of shape 6x6 i
> get evals,evectors
> suppose i get it like
> evals= array([2.2, 5.5, 4.4, 1.7, 7.7, 6.3])
> evectors=array([[3.,5. ,1. ,6. ,2. ,4. ],
> which is the array that corresponds to eigenvalue 2.2 of evals?
> is it the first column of evectors? or is it the first row?
> if i were to sort the evectors based on the eigenvalue ,i guess the
> most significant eigenvector should correspond to the value of
> 7.7 ,then am i supposed to consider the 5th column of evectors as the
> most significant eigenvector?
> please someone help me clear this confusion
> Numpy-discussion mailing list
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the Numpy-discussion