c899e6e816306956208664dcabd11e5e84e4bcb7,factor_analyzer/factor_analyzer.py,FactorAnalyzer,get_factor_variance,#FactorAnalyzer#,897

Before Change

            cumulative_variance = proportional_variance.cumsum(axis=0)

            // package variance info
            variance_info = pd.DataFrame([variance,
                                          proportional_variance,
                                          cumulative_variance],
                                         index=["SS Loadings",
                                                "Proportion Var",
                                                "Cumulative Var"])

            return variance_info

    def get_scores(self,
                   data,
                   scale_mean=None,

After Change

         array([0.35101885, 0.47938987, 0.55312938]))
        
        // meets all of our expected criteria
        check_is_fitted(self, "loadings_")
        loadings = self.loadings_.copy()
        return self._get_factor_variance(loadings)

Instances