50 lines
1.9 KiB
Matlab
50 lines
1.9 KiB
Matlab
function [obj] = updatePlots(obj, updatePartitions)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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updatePartitions (1, 1) logical = false;
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end
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arguments (Output)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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end
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% Update agent positions, collision geometries
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for ii = 1:size(obj.agents, 1)
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obj.agents{ii}.updatePlots();
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end
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% The remaining updates might be possible to do in a clever way
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% that moves existing lines instead of clearing and
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% re-plotting, which is much better for performance boost
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% Update agent connections plot
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delete(obj.connectionsPlot);
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obj = obj.plotConnections();
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% Update network graph plot
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delete(obj.graphPlot);
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obj = obj.plotGraph();
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% Update partitioning plot
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if updatePartitions
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delete(obj.partitionPlot);
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obj = obj.plotPartitions();
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end
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% reset plot limits to fit domain
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for ii = 1:size(obj.spatialPlotIndices, 2)
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xlim(obj.f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(1), obj.domain.maxCorner(1)]);
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ylim(obj.f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(2), obj.domain.maxCorner(2)]);
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zlim(obj.f.Children(1).Children(obj.spatialPlotIndices(ii)), [obj.domain.minCorner(3), obj.domain.maxCorner(3)]);
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end
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drawnow;
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% Update performance plot
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% Re-normalize performance plot
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normalizingFactor = 1/max(obj.performance(end));
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obj.performancePlot(1).YData(1:length(obj.performance)) = obj.performance * normalizingFactor;
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obj.performancePlot(1).XData(find(isnan(obj.performancePlot(1).XData), 1, 'first')) = obj.t;
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for ii = 2:(size(obj.agents, 1) + 1)
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obj.performancePlot(ii).YData(1:length(obj.performance)) = obj.agents{ii - 1}.performance * normalizingFactor;
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obj.performancePlot(ii).XData(find(isnan(obj.performancePlot(ii).XData), 1, 'first')) = obj.t;
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end
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end |