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color=df['species'], title=f'Total Explained Variance: {total_var:.2f}%', labels=labels ) fig.show() # plotting 3 principal components pairwise labels = { str(i): f"PC {i+1} ({var:.1f}%)" for i, var in enumerate(pca.explained_variance_ratio_ * 100) } fig = px.scatter_matrix( components,