title: PCA decomposition with python: features relevances
body: <p>I'm following now next topic: <a href="https://stackoverflow.com/questions/14205941/how-can-i-use-pca-svd-in-python-for-feature-selection-and-identification">How can I use PCA/SVD in Python for feature selection AND identification?</a> 
  Now, we decompose our data set in Python with PCA method and use for this the <code>sklearn.decomposition.PCA</code> With the usage of attributes <code>components_</code> we get all components. Now we have very similar goal: want take only first several components (this part is not a problem) and see, what the input features proportions has every PCA component (to know, which features are much important for us). How is possible to do it? 
  Another question is, has the python lybrary another implementations of Principal Component Analysis?  </p>