Visualization

Sensitivity analysis example plots

GSA results

../_images/lca_all_gsa_results.png

Convergence and robustness of sensitivity indices

../_images/lca_stat_indices.png

Convergence and robustness of ranking

../_images/lca_stat_ranking_10_robust.png

Validation plots

../_images/lca_validation_corr.png

Template functions for plotting

gsa_framework.visualization.plotting.plot_S(data_dict): Function that plots sensitivity indices for all methods in data_dict.

gsa_framework.visualization.plotting.plot_correlation_Y1_Y2(Y1, Y2, start=0, end=50, trace_name1='Y1', trace_name2='Y2', trace_name3='Scatter plot', color1='#636EFA', color2='#EF553B', color3='#A95C9A', xaxes1_title_text=None, yaxes1_title_text='Values', xaxes2_title_text='Values', yaxes2_title_text='Values', showtitle=True): Function that plots subset of datapoints of Y1 and Y2, used by Validation class.

gsa_framework.visualization.plotting.plot_histogram_Y(Y, default_Y=None, bin_min=None, bin_max=None, num_bins=60, trace_name='Y', trace_name_default='Default value', color='#636EFA', color_default_Y='red', opacity=0.65, xaxes_title_text='Values'): Function that plots histogram of Y.

gsa_framework.visualization.plotting.plot_histogram_Y1_Y2(Y1, Y2, default_Y=None, bin_min=None, bin_max=None, num_bins=60, trace_name1='Y1', trace_name2='Y2', color1='#636EFA', color2='#EF553B', color_default_Y='red', opacity=0.65, xaxes_title_text='Values', showlegend=True, showtitle=False): Function that overlays histograms of Y1 and Y2 in one figure, used by Validation class.