multi_tetraptych

esis.data.inversion.mart.stats.multi_tetraptych(independent, dependents, percentile_threshold_x=0.1, percentile_threshold_y=1.0, num_histogram_bins=100, x_axis_labels=('', '', '', ''), y_axis_labels=('', '', '', ''), dependents_labels=('', ''), red_line=False, contour='iqr', min_iqr_count=10)

Produces a figure with four subplots, each a 2D histogram between corresponding entries in x and y

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Returns