73 lines
3.0 KiB
Matlab
73 lines
3.0 KiB
Matlab
function [obj] = updatePlots(obj)
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arguments (Input)
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obj (1, 1) {mustBeA(obj, 'miSim')};
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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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% Fast exit when plotting is disabled
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if ~obj.makePlots
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return;
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end
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% Update agent positions, collision/communication 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 should all be possible to do in a clever
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% way 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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delete(obj.partitionPlot);
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obj = obj.plotPartitions();
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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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% Update agent trails
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for jj = 1:size(obj.spatialPlotIndices, 2)
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for ii = 1:size(obj.agents, 1)
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obj.trailPlot((jj - 1) * size(obj.agents, 1) + ii).XData(obj.timestepIndex) = obj.posHist(ii, obj.timestepIndex, 1);
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obj.trailPlot((jj - 1) * size(obj.agents, 1) + ii).YData(obj.timestepIndex) = obj.posHist(ii, obj.timestepIndex, 2);
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obj.trailPlot((jj - 1) * size(obj.agents, 1) + ii).ZData(obj.timestepIndex) = obj.posHist(ii, obj.timestepIndex, 3);
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end
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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);
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obj.performancePlot(1).YData(1:(length(obj.performance) + 1)) = [obj.performance, 0] * normalizingFactor;
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obj.performancePlot(1).XData([obj.timestepIndex, obj.timestepIndex + 1]) = [obj.t, obj.t + obj.timestep];
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for ii = 1:(size(obj.agents, 1))
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obj.performancePlot(ii + 1).YData(1:(length(obj.performance) + 1)) = [obj.agents{ii}.performance(1:length(obj.performance)), 0] * normalizingFactor;
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obj.performancePlot(ii + 1).XData([obj.timestepIndex, obj.timestepIndex + 1]) = [obj.t, obj.t + obj.timestep];
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end
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% Update h function plots
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for ii = 1:size(obj.caPlot, 1)
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obj.caPlot(ii).YData(obj.timestepIndex) = obj.h(ii, obj.timestepIndex);
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end
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for ii = 1:size(obj.obsPlot, 1)
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obj.obsPlot(ii).YData(obj.timestepIndex) = obj.h(ii + size(obj.caPlot, 1), obj.timestepIndex);
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end
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for ii = 1:size(obj.domPlot, 1)
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obj.domPlot(ii).YData(obj.timestepIndex) = obj.h(ii + size(obj.caPlot, 1) + size(obj.obsPlot, 1), obj.timestepIndex);
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end
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end |