I’m trying to get the variances from the eigen vectors. What is the difference between explained_variance_ratio_ and explained_variance_ in PCA? Answer The percentage of the explained variance is: The variance i.e. the eigenvalues of the covariance matrix is: Formula: explained_variance_ratio_ = explained_variance_ / np.sum(explained_variance_) Example: Also based on the above formula: 7.93954312 / (7.93954312+ 0.06045688) = 0.99244289 From the documentation: