Mapping features to principal components

Given this output of the first two principal components and assuming you were only going to use two principal components, drag each feature to the principal component the feature contributes to the most.

Rotation (n x k) = (8 x 8):
                     PC1         PC2  ...
bedrooms       0.3820653  0.21552040  ...
bathrooms      0.4795492 -0.02638248  ...
sqft_living    0.5147084  0.11931744  ...
sqft_above     0.4766738 -0.14246658  ...
view           0.1503091  0.34519352  ...
condition     -0.1079633  0.51325217  ...
sqft_basement  0.1439464  0.53923994  ...
yr_built       0.2773924 -0.49492977  ...