I have a large number (~1000) of files from a data logger that I am trying to process.
If I wanted to plot the trend from a single one of these log files I could do it using
plot(timevalues,datavalues)
I would like to be able to view all of these lines at same time in a similar way to how an oscilloscope has a "persistant" mode.
I can probably cobble together something that uses histograms but am hoping there is pre-existing or more elegant solution to this problem.
You can do exactly what you are suggesting yourself, i.e. plotting the heatmap of the signals.
Consider the following: I'll build a test signals (out of sine waves of different amplitude), then I'll plot the heatmap via hist3
and imagesc
.
The idea is to build an auxiliary signal which is just the juxtaposition of all your time histories (both in x
and y
), then extract basic bivariate statistics out of that.
% # Test signals
xx = 0 : .01 : 2* pi;
center = 1;
eps_ = .2;
amps = linspace(center - eps_ , center + eps_ , 100 );
% # the auxiliary signal will be stored in the following variables
yy = [];
xx_f = [];
for A = amps
xx_f = [xx_f,xx];
yy = [yy A*sin(xx)];
end
% # final heat map
colormap(hot)
[N,C] = hist3([xx_f' yy'],[100 100]);
imagesc(C{1},C{2},N')
You can use also jet
colormap instead of hot
colormap for readability.
In the following the amplitude is gaussian instead of homogeneus.