Option 1
Here's a demo to run that plots the progression of a curve as a line with a circle marker at the current coordinate. After producing the empty plot, it iteratively updates the XData and YData of each line object and refreshes the plot using drawnow(). You mentioned you had 100k data points so instead of updating on each iteration you may want to up date every 100 iterations or so after applying this to your real time data.
% Create fake data
time = 0:0.1:20;
data = sin(time);
% set up plot
figure();
lh = plot(nan, nan, 'b-');
hold on
mh = plot(NaN,NaN,'bo');
xlim([time(1),time(end)])
ylim([min(data),max(data)])
% Loop through data and update coordinates
for i = 1:numel(time)
lh.XData = time(1:i);
lh.YData = data(1:i);
mh.XData = time(i);
mh.YData = data(i);
drawnow();
end
Here's how to control how often the plot refreshes
iterationUpdate = 1 : 1000 : 100000; % every 1000 frames
% Loop through data and update coordinates
for i = 1:100000
...
if ismember(i,iterationUpdate)
drawnow();
end
end
Option 2
comet(time, data);
