package org.math.plot.plots;
import java.awt.Color;
import javax.swing.JFrame;
import org.math.plot.FrameView;
import org.math.plot.Plot2DPanel;
import org.math.plot.render.AbstractDrawer;
import org.math.plot.utils.Array;
/**
* @author Yann RICHET
*/
public class DensityLayerPlot extends LayerPlot {
public static int WIDTH = 2;
int axis;
double[] constant_Q;
double[][] Q;
public DensityLayerPlot(Plot p, int a, double[] quantiles) {
this(p, a, new double[0][0]);
constant_Q = quantiles;
}
/** Build a quantile plot based on given plot. The quantile is drawn as a linear gradient from the base plot dots.
* @param p base plot
* @param a axis number of quantile : 0=X quantile, 1=Y quantile, 2=Z quantile
* @param quantiles array of standard deviation values
*/
public DensityLayerPlot(Plot p, int a, double[][] quantiles) {
super("Density of " + p.name, p);
if (quantiles != null && quantiles.length > 0)
Array.checkRowDimension(quantiles, p.getData().length);
Q = quantiles;
axis = a;
}
public int getAxe() {
return axis;
}
public void plot(AbstractDrawer draw, Color c) {
if (!plot.visible)
return;
draw.setColor(c);
draw.setLineType(AbstractDrawer.CONTINOUS_LINE);
draw.setLineWidth(WIDTH);
if (constant_Q == null)
for (int i = 0; i < plot.getData().length; i++) {
double norm = Double.MAX_VALUE;
for (int j = 0; j < Q[i].length - 1; j++)
norm = Math.min(1 / (Q[i][j + 1] - Q[i][j]), norm);
double[] d0 = Array.getRowCopy(plot.getData(), i);
double[] d1 = Array.getRowCopy(plot.getData(), i);
double[] d2 = Array.getRowCopy(plot.getData(), i);
for (int j = 0; j < Q[i].length - 2; j++) {
d1[axis] = d0[axis] + ((Q[i][j] + Q[i][j + 1]) / 2);
d2[axis] = d0[axis] + ((Q[i][j + 1] + Q[i][j + 2]) / 2);
Color c1 = new Color(c.getRed(), c.getGreen(), c.getBlue(), (int) (255.0 * (norm / (Q[i][j + 1] - Q[i][j]))));
Color c2 = new Color(c.getRed(), c.getGreen(), c.getBlue(), (int) (255.0 * (norm / (Q[i][j + 2] - Q[i][j + 1]))));
draw.setGradient(d1, c1, d2, c2);
draw.drawLine(d1, d2);
}
}
else {
double norm = Double.MAX_VALUE;
for (int j = 0; j < constant_Q.length - 1; j++)
norm = Math.min(1 / (constant_Q[j + 1] - constant_Q[j]), norm);
for (int i = 0; i < plot.getData().length; i++) {
double[] d0 = Array.getRowCopy(plot.getData(), i);
double[] d1 = Array.getRowCopy(plot.getData(), i);
double[] d2 = Array.getRowCopy(plot.getData(), i);
for (int j = 0; j < constant_Q.length - 2; j++) {
d1[axis] = d0[axis] + (constant_Q[j] + constant_Q[j + 1]) / 2;
d2[axis] = d0[axis] + (constant_Q[j + 1] + constant_Q[j + 2]) / 2;
Color c1 = new Color(c.getRed(), c.getGreen(), c.getBlue(), (int) (255.0 * (norm / (constant_Q[j + 1] - constant_Q[j]))));
Color c2 = new Color(c.getRed(), c.getGreen(), c.getBlue(), (int) (255.0 * (norm / (constant_Q[j + 2] - constant_Q[j + 1]))));
draw.setGradient(d1, c1, d2, c2);
draw.drawLine(d1, d2);
}
}
}
draw.resetGradient();
draw.setLineWidth(AbstractDrawer.DEFAULT_LINE_WIDTH);
}
@Override
public void setData(double[][] d) {
//Q = d[0];
}
@Override
public double[][] getData() {
return null;//new double[][] { sigma };
}
public static void main(String[] args) {
Plot2DPanel p2 = new Plot2DPanel();
for (int i = 0; i < 2; i++) {
double[][] XYZ = new double[10][2];
for (int j = 0; j < XYZ.length; j++) {
XYZ[j][0] = /*1 + */Math.random();
XYZ[j][1] = /*100 * */10 * Math.random();
}
p2.addScatterPlot("toto" + i, XYZ);
}
p2.getPlot(0).addQuantiles(1, new double[] {/*-3,-2,*/-4, -2, -0.5, 0, 0.5, 2, 4 /*,2,3*/});
p2.getPlot(1).addQuantiles(1, new double[] { -3, -2, -1, 0, 1, 2, 3 });
//p2.getPlot(1).addLayer(new DensityLayerPlot(p2.getPlot(1), 1, new double[] { -.1, 0, .1 }));
new FrameView(p2).setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
}
}