@Cedric Dunsch - every time you call plot a new graphics object is created for the axes. I recommend that you create one plot graphics object for each of your four desired plots, and update that whenever your function is called. In order to do that, you will need to save the handle to the plot graphics object and then set the data for that plot on subsequent calls. Something like the following
classdef plot_controller
%plot_controller: responsible to represent the measured live data.
properties
fig
hPlotChargeVsTime
end
methods
function [obj] = generate_plots(obj)
%generate_plots: generates and prepares figures
% needs: obj
obj.fig = figure;
subplot(2,2,1);
obj.hPlotChargeVsTime = plot(NaN,NaN);
xlabel('time / s');
ylabel('charge / C');
title('Cell charge over time');
end
function update_plots(obj,charge,voltage,current,temperature,time)
%update_plots: called every loop iteration to update plots
% needs: obj,charge,voltage,current,temperature,time
if (isnan(obj.hPlotChargeVsTime.XData))
set(obj.hPlotChargeVsTime, 'XData', time, 'YData', charge);
else
xData = [get(obj.hPlotChargeVsTime, 'XData') time];
yData = [get(obj.hPlotChargeVsTime, 'YData') charge];
set(obj.hPlotChargeVsTime, 'XData', xData, 'YData', yData);
end
end
end
end
I'm not sure if this will improve performance though especially as you say there are 2 million points in the array. In the above code, I'm assuming that only the latest points are passed to the update_plots method. If that is not the case, and arrays are passed instead, then you will need to adjust your code so that only the most recent data is passed. Note that I don't know if this will help (given the number of data points) but you will have only 4 plot objects rather than the many more.
