IQM_Vis.utils.plot_utils

matplotlib plotting helpers TODO: write dev_resources/docs how to use these (currently just have to look at the UI code)

Functions

click_scatter(_plot, ...)	send signal of which data point was clicked
compute_metric_for_human_correlation(...)
compute_metrics_over_range(data_store, ...)	compute metrics over a range of trans (when using non initial values for other transforms) currently this method is not being used and instead using the simpler compute_metrics_over_range_single_trans
compute_metrics_over_range_single_trans(...)	compute metrics over a range of trans
get_all_single_transform_params(transforms)	get a list of all the individual transforms with a single parameter value useful when doing experiments to make a dataset
get_all_slider_values(transforms[, num_steps])
get_correlation_plot(human_scores, ...)	scatter plot for correlations
get_radar_plots_avg_plots(results, ...[, lim])	plot results on a polar axes -> radar/spider plot
get_transform_range_plots(results, ...[, lim])	plot a single transform range graph of all metrics
hover_scatter(_plot, annot, event)
update_annot(ind, _plot, annot)

Classes

bar_plotter(bar_names, var_names, ax, lim)
line_plotter(ax[, x_label, y_label, lim])
radar_plotter(radar_names, var_names, ax[, lim])
scatter_plotter(ax[, x_label, y_label, lim])