Finding and utilizing eigenvalues and eigenvectors from PCA in scikit-learn

I have been utilizing PCA implemented in scikit-learn. However, I want to find the eigenvalues and eigenvectors that result after we fit the training dataset. There is no mention of both in the docs.

Secondly, can these eigenvalues and eigenvectors themselves be utilized as features for classification purposes?