JFreeChart------------它是一种组件技术，专用于在java中实现图形报表
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----------饼图，柱状图,折线图
JFreeChart它是一种独立图表技术，它与struts2本身并无关系，只不过，它可以与struts2配合使用
饼图的步骤:
1、创建一个web工程
2、导入struts2框架（core,struts2-jfreeChart）
3、向工程导入(jfreechart.jar,jcommon.jar)
4、创建BaseAction继承于ActionSupport,并且，在类中，声明一个属性 JFreeChart chart;并且生成set,get方法
5、编写ChartAction类，继承于BaseAction
6、在ChartAction类中，编写 showPie()用于显示饼图
7、在struts.xml配置当前action
8、在index.jsp配置，通过img src="chart!showPie.action"进入到指定方法
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9、编写ChartDao类，模拟从数据库查询数据
//得到饼图需要的数据集
public DefaultPieDataset getPieDataset(){
DefaultPieDataset dp = new DefaultPieDataset();
dp.setValue("联想",321);
dp.setValue("华硕",189);
dp.setValue("戴尔",98);
dp.setValue("IBM",213);
dp.setValue("Apple",287);
dp.setValue("惠普",120);
dp.setValue("SONY",87);
return dp;
}
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10、在ChartAction中的showPie方法，生成饼图
public String showPie(){
//得以要显示的数据集,根据数据，生成饼图
DefaultPieDataset dp = dao.getPieDataset();
//chart = ChartFactory.createPieChart("标题",要显示在饼图中的数据集,是否显示颜色说明,"是否显示工具提示","是否显示网络地址 ");
chart = ChartFactory.createPieChart("一季度各电脑品牌销售汇总",dp,true,false,false);
return "success";
}
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11、在struts.xml文件，进行相关配置
package name="struts2" extends="struts-default"
result-types
result-type name="chart" class="org.apache.struts2.dispatcher.ChartResult"/
/result-types
action name="chart" class="org.java.web.ChartAction"
result name="success" type="chart"
param name="width"800/param
param name="height"600/param
/result
/action
/package
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12、解决乱码
标题区的乱码
Font f1 = new Font("隶书",Font.BOLD,40);
TextTitle tt = new TextTitle("一季度各电脑品牌销售汇总",f1);
chart.setTitle(tt);//绑定标题
颜色提示区乱码
Font f2 = new Font("隶书",Font.BOLD,20);
LegendTitle lt = chart.getLegend();
lt.setItemFont(f2);//设置该区域的字体
解决饼图中的乱码
PiePlot pp = (PiePlot) chart.getPlot();//得到饼图区域
pp.setLabelFont(f2);//设置饼图区域中的字体
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13、设置饼图中要显示的数据格式
//该对象，用于指定饼图要显示的数据格式 //0:key //1:value 2:百分比
StandardPieSectionLabelGenerator sc = new StandardPieSectionLabelGenerator("{0},{1}台,{2}");
//把显示的格式，绑定饼图中
pp.setLabelGenerator(sc);
需要完整版请联系我
1.环境搭建
整个项目的结构图
2.编写DetectFaceDemo.java,代码如下：
[java] view plaincopy
package com.njupt.zhb.test;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.highgui.Highgui;
import org.opencv.objdetect.CascadeClassifier;
//
// Detects faces in an image, draws boxes around them, and writes the results
// to "faceDetection.png".
//
public class DetectFaceDemo {
public void run() {
System.out.println("\nRunning DetectFaceDemo");
System.out.println(getClass().getResource("lbpcascade_frontalface.xml").getPath());
// Create a face detector from the cascade file in the resources
// directory.
//CascadeClassifier faceDetector = new CascadeClassifier(getClass().getResource("lbpcascade_frontalface.xml").getPath());
//Mat image = Highgui.imread(getClass().getResource("lena.png").getPath());
//注意：源程序的路径会多打印一个‘/’，因此总是出现如下错误
/*
* Detected 0 faces Writing faceDetection.png libpng warning: Image
* width is zero in IHDR libpng warning: Image height is zero in IHDR
* libpng error: Invalid IHDR data
*/
//因此，我们将第一个字符去掉
String xmlfilePath=getClass().getResource("lbpcascade_frontalface.xml").getPath().substring(1);
CascadeClassifier faceDetector = new CascadeClassifier(xmlfilePath);
Mat image = Highgui.imread(getClass().getResource("we.jpg").getPath().substring(1));
// Detect faces in the image.
// MatOfRect is a special container class for Rect.
MatOfRect faceDetections = new MatOfRect();
faceDetector.detectMultiScale(image, faceDetections);
System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
// Draw a bounding box around each face.
for (Rect rect : faceDetections.toArray()) {
Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
}
// Save the visualized detection.
String filename = "faceDetection.png";
System.out.println(String.format("Writing %s", filename));
Highgui.imwrite(filename, image);
}
}
3.编写测试类：
[java] view plaincopy
package com.njupt.zhb.test;
public class TestMain {
public static void main(String[] args) {
System.out.println("Hello, OpenCV");
// Load the native library.
System.loadLibrary("opencv_java246");
new DetectFaceDemo().run();
}
}
//运行结果:
//Hello, OpenCV
//
//Running DetectFaceDemo
///E:/eclipse_Jee/workspace/JavaOpenCV246/bin/com/njupt/zhb/test/lbpcascade_frontalface.xml
//Detected 8 faces
//Writing faceDetection.png
完整代码如下：
import java.awt.Dimension;
import java.awt.Graphics;
import java.awt.Toolkit;
import javax.swing.JFrame;
public class Face extends JFrame {
/**
*
*/
private static final long serialVersionUID = 1L;
public Face(){
setSize(500, 500);
setResizable(false);
setDefaultCloseOperation(EXIT_ON_CLOSE);
Dimension screenSize = Toolkit.getDefaultToolkit()
.getScreenSize();
Dimension frameSize = getSize();
setLocation((screenSize.width - frameSize.width) / 2,
(screenSize.height - frameSize.height) / 2);
setVisible(true);
}
//下面的是关键的绘图代码
public void paint(Graphics g){
//画头
g.drawOval(100, 50, 300, 400);
//画眼睛
g.drawOval(140, 150, 100, 50);
g.drawOval(260, 150, 100, 50);
//画鼻子
g.drawArc(140, 150, 100, 150, -90, 90);
g.drawArc(260, 150, 100, 150, 180, 90);
//画嘴巴
g.drawOval(170, 320, 150, 50);
}
public static void main(String args[]){
new Face();
}
}
主要是用了几个java的画图函数，如果有用的话，希望采纳
