带有在另一个类中计算的 xy 数据的简单 Java Plot

Question

I'm looking at using http://yuriy-g.github.io/simple-java-plot/ for simple xy scatter plots. How can I get the code below:

public static void main(String[] args) throws IOException {
    // configuring plot options
    Plot plot = Plot.plot(Plot.plotOpts().
            title("Intensity vs. Distance").
            legend(Plot.LegendFormat.BOTTOM)).
        xAxis("mm", Plot.axisOpts().
            range(0, 10)).
        yAxis("I", Plot.axisOpts().
            range(0, 1000)).
        series("Data", Plot.data().
            xy(0, 1000).
            xy(1, 50).
            xy(2, 25),
            Plot.seriesOpts().
                marker(Plot.Marker.DIAMOND).
                markerColor(Color.GREEN).
                color(Color.BLACK));
    plot.save("sample_data", "png");
}

to programmatically read in multiple xy points (ie xy(X1, Y2). xy(X2, Y2). ...) from elsewhere. ie I have another class that calculates these xy points and want to pass these to plot them or alternatively call plotting.

From the Data class in Plot.java it seems to be possible.

PS I'm new to Java.

Answer 1

Worked out it can be done like this:

private static final double[] xvals = new double[4];
private static final double[] yvals = new double[4];

static {
    xvals[0] = 1;
    xvals[1] = 2;
    xvals[2] = 3;
    xvals[3] = 4;
}

static {
    yvals[0] = 1000;
    yvals[1] = 500;
    yvals[2] = 250;
    yvals[3] = 125;
}

public static void main(String[] args) throws IOException {
    // configuring plot options
    Plot plot = Plot.plot(Plot.plotOpts().
            title("Intensity vs. Distance").
            legend(Plot.LegendFormat.BOTTOM)).
        xAxis("mm", Plot.axisOpts().
            range(0, 10)).
        yAxis("I", Plot.axisOpts().
            range(0, 1000)).
        series("Data", Plot.data().
            xy(xvals, yvals),
            Plot.seriesOpts().
                marker(Plot.Marker.DIAMOND).
                markerColor(Color.GREEN).
                color(Color.BLACK));
    plot.save("sample_data", "png");
}