groups = [countries_.loc[countries_.labels == i].COUNTRY.to_numpy().tolist() for i in range(1, kn.knee+1)] x=np.array([data.loc[groups[i]].describe().loc['mean'].tolist() for i in range(kn.knee)]) y = pd.DataFrame(x, columns=indicators[1:]+[indicators[0]], index=[i for i in range(1,kn.knee+1)]) y['clusters'] = [i for i in range(1,kn.knee+1)] y