Data Science, Artificial Intelligence, K Means, Audience Engagement, Python.
explained variance') plt.xlabel('principal components') plt.xticks(evar_df.index) plt.ylim(0,1) for i, ev in 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