Data Science, Machine Learning, Pattern Recognition, Pca Analysis, Data Reduction.
components. u, s, vt = LA.svd(df) ### SVD fig, ax = plt.subplots() ax.semilogy(s, marker = 'o', markerfacecolor = 'none', markeredgecolor = 'k', ls='-', color = 'k') ax.set_xlabel(r'$n$') ax.set_ylabel('Singular Values,' + r'$\sigma_n$') ax.xaxis.set_tick_params(direction='in', which='both')