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package indiji.mlplot.demo;



import indiji.mlplot.MLPlot;

import indiji.mlplot.MLPlot.Style;

import indiji.mlplot.MLPlot.Symbol;



import java.io.File;

import java.util.Random;



public class Demo2 {



	public static void main(String[] args){

		

		// Create data

		double x1[]=new double[1000];

		double x2[]=new double[1000];

		double y1[]=new double[1000];

		double y2[]=new double[1000];

		java.util.Random rand=new Random();

		for(int n=0;n<x1.length;n++){

			x1[n]=100*rand.nextGaussian();

			y1[n]=rand.nextGaussian();

			x2[n]=100*(rand.nextGaussian()/2+3);

			y2[n]=rand.nextGaussian()*2;

		}

		

		// Create a new Plot

		MLPlot p=new MLPlot();

		

		// Draw data

		p.linePlot(x1,y1,"blue",Style.None,Symbol.Plus,"Normal");

		p.linePlot(x2,y2,"red",Style.None,Symbol.Star,"Transformed");

		p.setTenPowerX(3);

		p.setTenPowerY(-3);

		

		// Customize Plot

		p.setTitle("Scatterplots are just 'None'-styled Lineplots" );

		p.setLegendMargin(70);

		p.setTickLength(20);

		p.setLegendPos("NW");

		

		// Save Vector/Bitmap Graphics

		p.save(new File("demo2.svg"));

		p.save(new File("demo2.jpg"),800);

		p.save(new File("demo2.eps"));

	}

}