Visualisations¶

Event analysis diagram¶

wardmetrics.visualisations.plot_event_analysis_diagram(event_results, **kwargs)[source]¶

Plot the event analysis diagram (EAD) for the given results

Visualisation of the distribution of specific error types either with the actual event count or showing the percentage of the total events. Elements of the plot can be adjusted (like color, fontsize etc.)

Keyword Arguments:
Parameters:	event_results (dictionary) – Dictionary containing event counts for “total_gt”, “total_det”, “D”, “F”, “FM”, “M”, “C”, “M’”, “FM’”, “F’”, “I’” as returned by core_methods.event_metrics’ third value
	fontsize (int) – Size of the text inside the bar plot (Reduce the value if some event types are too short) use_percentage (bool) – whether percentage values or to show actual event counts on the chart (default: False) show (bool) – whether to call plt.show (blocking) or plt.draw() for later displaying (default: True) color_deletion – any matplotlib color for deletion events color_fragmented – any matplotlib color for fragmented ground truth events color_fragmented_merged – any matplotlib color for merged and fragmented ground truth events color_merged – any matplotlib color for merged ground truth events color_correct – any matplotlib color for correct events color_merging – any matplotlib color for merging detection events color_merging_fragmenting – any matplotlib color for merging and fragmenting detection events color_fragmenting – any matplotlib color for merging detection events color_insertion – any matplotlib color for insertion events
Returns:	matplotlib figure reference
Return type:	matplotlib Figure