>h2SSKJr SSKrSSjrSSjrg)Nc[R"5nUc [U5OUnUnUSUnURS5nUR [ R "U5USUS5 URSS9 [ R"UR55nUSUS- nUS[ R"U*U/5-- nUR[ R "U55 URU5 [ R"UR55n Sn U SU S- nX[ R"U*U/5-- n URU 5 URS 5 URS 5 UR!U5 XQ- n [ R""U 5n URS 5nUR [ R "U5U SUS5 UR [ R "U5U SUS 5 URSS9 [ R"UR55nUSUS- nUS[ R"U*U/5-- nUR[ R "U55 URU5 [ R"UR55n Sn U SU S- nX[ R"U*U/5-- n URU 5 URS 5 URS5 UR!U5 UR%SS/SS9 UR'5 U$)a Plot of the ordered eigenvalues and variance explained for the loadings Parameters ---------- eigenvals : array_like The eigenvalues total_var : float the total variance (for plotting percent variance explained) ncomp : int, optional Number of factors to include in the plot. If None, will included the same as the number of maximum possible loadings x_label : str label of x-axis Returns ------- Figure Handle to the figure. Nyzb-oT)tightrg{Gz?z Scree Plot Eigenvaluezzg--ozVariance Explained Proportion Cumulative)loc)pltfigurelen add_subplotplotnparange autoscalearrayget_xlim set_xticksset_xlimget_ylimset_ylim set_title set_ylabel set_xlabelcumsumlegend tight_layout) eigenvals total_varncompx_labelfigvalsaxxlimspylimscale per_variancecumper_variances qC:\Users\julio\OneDrive\Documentos\Trabajo\Ideas Frescas\venv\Lib\site-packages\statsmodels/multivariate/plots.py plot_screer/s* **,C#mC NE D o[1_o >+0<8rUs#DN7;7;)@r0