JMathPlot

JMathPlot is a Java library for creating 2D and 3D plots. It is designed to be easy to use and customize. JMathPlot can be used for scientific and engineering data analysis, real-time data analysis, and plotting of mathematical functions. It supports many plot types, including scatterplots, line plots, bar plots, and 3D surfaces. JMathPlot is free and open source, released under the MIT License.

Features

• Supports 2D and 3D plots
• Many plot types, including scatterplots, line plots, bar plots, and 3D surfaces
• Highly customizable
• Adjustable axis labels, ticks, and ranges
• Export to PNG, PDF, EPS, SVG, and other formats
• Real-time data visualization
• Compatible with Java 8 and newer

Getting Started

To get started with JMathPlot, you can download the latest version from the official website. Alternatively, you can add it as a dependency to your Maven or Gradle project.

Once you have JMathPlot installed, you can create a simple line plot like this:

import org.math.plot.Plot2DPanel;

import javax.swing.*;

public class Example {
    public static void main(String[] args) {
        double[] x = {0,1,2,3,4,5};
        double[] y = {0,1,2,3,4,5};
        Plot2DPanel plot = new Plot2DPanel();
        plot.addLinePlot("line", x, y);
        JFrame frame = new JFrame("Simple plot panel");
        frame.setContentPane(plot);
        frame.setVisible(true);
    }
}

This code creates a plot with a simple line connecting the points (0,0), (1,1), (2,2), (3,3), (4,4), and (5,5).

Customizing Plots

JMathPlot makes it easy to customize your plots. You can change the axis labels, ticks, and ranges, add legends, change the colors and styles of lines and points, and more. Here is an example of a scatterplot with custom settings:

import org.math.plot.Plot2DPanel;
import org.math.plot.plotObjects.BaseLabel;

import java.awt.*;

public class Example {
    public static void main(String[] args) {
        double[] x = {0,1,2,3,4,5};
        double[] y = {0,1,2,3,4,5};
        Plot2DPanel plot = new Plot2DPanel();
        plot.addScatterPlot("scatter", Color.RED, x, y);
        plot.setAxisLabels("X axis", "Y axis");
        plot.setFixedBounds(0, -1.0, 6.0);
        plot.setFixedBounds(1, -1.0, 6.0);
        plot.addLegend("SOUTH");
        BaseLabel title = new BaseLabel("Scatter Plot", Color.BLACK, 0.5, 1.1);
        title.setFont(new Font("Courier", Font.BOLD, 16));
        plot.addPlotable(title);
        JFrame frame = new JFrame("Customized plot panel");
        frame.setContentPane(plot);
        frame.setVisible(true);
    }
}

This code creates a scatterplot with red points, custom axis labels, fixed ranges, a legend at the bottom, and a title at the top.

Real-Time Data Visualization

JMathPlot can also be used for real-time data visualization. You can update the plot with new data as it becomes available. Here is an example of a real-time line plot:

import org.math.plot.Plot2DPanel;

import javax.swing.*;
import java.util.Random;

public class Example {
    public static void main(String[] args) throws InterruptedException {
        double[] x = new double[100];
        double[] y = new double[100];
        Plot2DPanel plot = new Plot2DPanel();
        plot.addLinePlot("line", x, y);
        JFrame frame = new JFrame("Real-time plot panel");
        frame.setContentPane(plot);
        frame.setVisible(true);
        Random random = new Random();
        for (int i = 0; i < 100; i++) {
            x[i] = i;
            y[i] = random.nextDouble();
            plot.updateLinePlot("line", x, y);
            Thread.sleep(100);
        }
    }
}

This code creates a line plot with an empty data set, displays it in a window, and then updates it 100 times with new random data every 100 milliseconds.

Conclusion

JMathPlot is a powerful and easy-to-use Java library for creating 2D and 3D plots. It offers many plot types, customization options, and real-time data visualization capabilities. Whether you need to visualize scientific data, plot mathematical functions, or create charts and graphs for presentations, JMathPlot can help you get the job done.