matplotlib4j
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sh0nk
Threading model? modeless possible?
This package is really handy. I have a question, what is the threading model? My main Swing GUI seems to halt as long as the plot is displayed; is it possible to display a plot and update it while my code is running? I tried to put the call to plt.show() in a separate thread but it didn't seem to help. My code is below.
if (stats != null) {
SwingUtilities.invokeLater(new Runnable() {
@Override
public void run() {
stats.plot();
}
});
Inside stats.plot() is the code to plot
public void plot() {
Plot plt = Plot.create(); // see https://github.com/sh0nk/matplotlib4j
plt.subplot(2, 1, 1);
plt.title("f0,f45,f90,f135");
plt.xlabel("time (s)");
plt.ylabel("intensity (DN)");
plt.plot().add(times, f0s, "r").label("f0");
plt.plot().add(times, f45s, "g").label("f45");
plt.plot().add(times, f90s, "b").label("f90");
plt.plot().add(times, f135s, "cyan").label("f135");
plt.legend();
plt.subplot(2, 1, 2);
plt.plot().add(times, aops, "r").label("AoP");
plt.plot().add(times, dops, "go-").label("DoLP");
ArrayList[] aopErrs = errors(aops, aopstds);
ArrayList[] dopErrs = errors(dops, dopstds);
plt.plot().add(times, aopErrs[0], "r").linewidth(.4).linestyle("dotted");
plt.plot().add(times, aopErrs[1], "r").linewidth(.4).linestyle("dotted");
plt.plot().add(times, dopErrs[0], "g").linewidth(.4).linestyle("dotted");
plt.plot().add(times, dopErrs[1], "g").linewidth(.4).linestyle("dotted");
plt.xlabel("time (s)");
plt.ylabel("AoP and DoLP");
plt.title("AoP and DoLP vs time");
plt.legend();
try {
plt.show();
} catch (Exception ex) {
log.warning("cannot show the plot with pyplot - did you install python and matplotlib on path? " + ex.toString());
showWarningDialogInSwingThread("<html>Cannot show the plot with pyplot - did you install python and matplotlib on path? <p>" + ex.toString(), "Cannot plot");
}
}
@tobidelbruck Thanks for the question. You know there's an interface called pause() on matplotlib https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.pause.html. I've tried to think of if it can be integrated into matplotlib4j, but it's not quite easy since matplotlib4j generates a python script and run each time, so it's hard to pass the latest values to a live script asynchronously.
So far only the option I come up with is to use savefig() interface, and watch the updated image by image viewer. Does the solution work for you?
