Developer.
enumerate(round(((evar_df.cum_explained_variance)*100),1).to_list()): plt.text(evar_df.index[i]-.24, evar_df.cum_explained_variance[i+1]-.05, ev, color='blue') The plot above shows that with only the first 10 principal components, we capture over 80% of the explained variance in our original