Java绘制统计图

Dear 丶 2024-04-07 12:46 103阅读 0赞

## 0. 前言 ##

本文采用第三方库xchart进行绘制，所需要使用的jar包如下：

[https://download.csdn.net/download/hfy1237/86508408][https_download.csdn.net_download_hfy1237_86508408]

[https://download.csdn.net/download/hfy1237/86508849][https_download.csdn.net_download_hfy1237_86508849]

## 一、折线图 ##

### 1. 方式一（快速绘图） ###

![cc9bcc25409646e8b6c19ab28d803ec7.png][]

package plot;
    
    import org.knowm.xchart.QuickChart;
    import org.knowm.xchart.SwingWrapper;
    import org.knowm.xchart.XYChart;
    
    public class SampleXchart {
    
    	public static void main(String[] args) {
    		// 创建数据
    		double[] xData = new double[] { 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 };
    		double[] yData = new double[] { 0.0, 1.2, 1.5, 2.0, 4.5, 6.8, 7.9, 11.3, 3.9, 4, 22};
    
    		// 创建图表
    		XYChart chart = QuickChart.getChart("折线图", "X", "Y", "y(x)", xData, yData);
    
    		// 进行绘制
    		new SwingWrapper<XYChart>(chart).displayChart();
    
    
    	}
    
    }

### 2. 方式二 ###

![1ab054d09a19438396c9e9966add87b9.png][]

package plot;
    
    import org.knowm.xchart.CategoryChart;
    import org.knowm.xchart.CategoryChartBuilder;
    import org.knowm.xchart.CategorySeries.CategorySeriesRenderStyle;
    import org.knowm.xchart.SwingWrapper;
    
    
    public class Example {
    
    	public static void main(String[] args) {
    		
    		// 创建数据
    		double[] xData = new double[] { 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 };
    		double[] yData = new double[] { 0.0, 1.2, 1.5, 2.0, 4.5, 6.8, 7.9, 11.3, 3.9, 4, 22};
    		
    		// 创建Chart
    		CategoryChart chart = new CategoryChartBuilder()
    				.width(800)
    				.height(600)
    				.title("折线图")
    				.xAxisTitle("Mean")
    				.yAxisTitle("Count")
    				.build();
    
            //设置图表样式
    		chart.getStyler().setDefaultSeriesRenderStyle(CategorySeriesRenderStyle.Line);
    
    		// 添加数据源
    		chart.addSeries("Fake Data", xData, yData);
    		
    		// 进行展示
    		new SwingWrapper<CategoryChart>(chart).displayChart();
    
    	}
    
    }

### 3. 方式三 ###

![64b11e638c8c4b0989113bfb0054fc38.png][]

package plot;
    
    import org.knowm.xchart.CategoryChart;
    import org.knowm.xchart.CategoryChartBuilder;
    import org.knowm.xchart.CategorySeries.CategorySeriesRenderStyle;
    import org.knowm.xchart.SwingWrapper;
    import org.knowm.xchart.XYChart;
    import org.knowm.xchart.XYChartBuilder;
    import org.knowm.xchart.XYSeries;
    import org.knowm.xchart.style.colors.XChartSeriesColors;
    import org.knowm.xchart.style.lines.SeriesLines;
    import org.knowm.xchart.style.markers.SeriesMarkers;
    
    
    public class Example {
    
    	public static void main(String[] args) {
    		
    		// 创建数据
    		double[] xData = new double[] { 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0 };
    		double[] yData = new double[] { 0.0, 1.2, 1.5, 2.0, 4.5, 6.8, 7.9, 11.3, 3.9, 4, 22};
    		
    		// 创建Chart
    		XYChart chart = new XYChartBuilder()
    				.width(800)
    				.height(600)
    				.title("折线图")
    				.xAxisTitle("Mean")
    				.yAxisTitle("Count")
    				.build();
    
    		// 添加数据源
    		XYSeries series = chart.addSeries("Fake Data", xData, yData);
    	    series.setLineColor(XChartSeriesColors.BLUE);
    	    series.setMarker(SeriesMarkers.CIRCLE);
    	    series.setLineStyle(SeriesLines.SOLID);
    		
    		// 进行展示
    		new SwingWrapper<XYChart>(chart).displayChart();
    
    	}
    
    }

## 二、 条形图 ##

### 1. 基本条形图 ###

![617d54fb655b425aa796fc574a25b846.png][]

package plot;
    
    import java.util.Arrays;
    
    import org.knowm.xchart.CategoryChart;
    import org.knowm.xchart.CategoryChartBuilder;
    import org.knowm.xchart.SwingWrapper;
    import org.knowm.xchart.style.Styler.LegendPosition;
    
    public class SampleXchart {
    
    	public static void main(String[] args) {
    		// 创建Chart对象
    	    CategoryChart chart =
    	            new CategoryChartBuilder()
    	                .width(800)
    	                .height(600)
    	                .title("图形标题")
    	                .xAxisTitle("Score")
    	                .yAxisTitle("Number")
    	                .build();
    
    	    // 设置图例显示位置
    	    chart.getStyler().setLegendPosition(LegendPosition.InsideNE);
    	    // 设置标签是否可见
    	    chart.getStyler().setLabelsVisible(false);
    	    // 设置网格是否可见
    	    chart.getStyler().setPlotGridLinesVisible(false);
    
    	    // 添加绘图数据
    	    chart.addSeries("图例", Arrays.asList(0, 1, 2, 3, 4), Arrays.asList(4, 5, 9, 6, 5));
    	    
    	    // 进行展示
    		new SwingWrapper<CategoryChart>(chart).displayChart();
    
    	}
    
    }

### 2. 堆积条形图 ###

![39484b958d304b9dbd9d8c5dd80dbed3.png][]

package plot;
    
    import java.util.Arrays;
    
    import org.knowm.xchart.CategoryChart;
    import org.knowm.xchart.CategoryChartBuilder;
    import org.knowm.xchart.SwingWrapper;
    
    public class Example {
    
    	public static void main(String[] args) {
    		// 创建Chart对象
    		CategoryChart chart = new CategoryChartBuilder()
    	                .width(800)
    	                .height(600)
    	                .title("图形标题")
    	                .xAxisTitle("Score")
    	                .yAxisTitle("Number")
    	                .build();
    
    	    // 设置标签是否可见
    	    chart.getStyler().setLabelsVisible(false);
    	    // 设置网格是否可见
    	    chart.getStyler().setPlotGridLinesVisible(false);
    	    // 设置是否堆积
    	    chart.getStyler().setOverlapped(true);
    		
    		
    	    // 添加绘图数据
    	    chart.addSeries("Bar1", Arrays.asList(0, 1, 2, 3, 4), Arrays.asList(4, 6, 5, 8, 7));
    	    chart.addSeries("Bar2", Arrays.asList(0, 1, 2, 3, 4), Arrays.asList(14, 15, 14, 18, 17));
    	    
    	    // 进行展示
    		new SwingWrapper<CategoryChart>(chart).displayChart();
    
    	}
    
    }

### 3. 并列条形图 ###

![cccbac16a3d94da2b1fc88648461365a.png][]

package plot;
    
    import java.util.Arrays;
    
    import org.knowm.xchart.CategoryChart;
    import org.knowm.xchart.CategoryChartBuilder;
    import org.knowm.xchart.SwingWrapper;
    
    public class Example {
    
    	public static void main(String[] args) {
    		// 创建Chart对象
    		CategoryChart chart = new CategoryChartBuilder()
    	                .width(800)
    	                .height(600)
    	                .title("图形标题")
    	                .xAxisTitle("Score")
    	                .yAxisTitle("Number")
    	                .build();
    
    	    // 设置标签是否可见
    	    chart.getStyler().setLabelsVisible(false);
    	    // 设置网格是否可见
    	    chart.getStyler().setPlotGridLinesVisible(false);
    		
    		
    	    // 添加绘图数据
    	    chart.addSeries("Bar1", Arrays.asList(0, 1, 2, 3, 4), Arrays.asList(4, 6, 5, 8, 7));
    	    chart.addSeries("Bar2", Arrays.asList(0, 1, 2, 3, 4), Arrays.asList(14, 15, 14, 18, 17));
    	    
    	    // 进行展示
    		new SwingWrapper<CategoryChart>(chart).displayChart();
    
    	}
    
    }

## 三、直方图 ##

### 1. 基本直方图 ###

![65c0807e4b6f4fbf805104e0254685f9.png][]

package plot;
    
    import java.util.Arrays;
    
    import org.knowm.xchart.CategoryChart;
    import org.knowm.xchart.CategoryChartBuilder;
    import org.knowm.xchart.Histogram;
    import org.knowm.xchart.SwingWrapper;
    
    
    public class Example {
    
    	public static void main(String[] args) {
    		
    		// 创建Chart
    		CategoryChart chart = new CategoryChartBuilder()
    				.width(800)
    				.height(600)
    				.title("直方图")
    				.xAxisTitle("Mean")
    				.yAxisTitle("Count")
    				.build();
    
    		// 添加数据源
    		Histogram histogram = new Histogram(Arrays.asList(new Number[] { 1, 1, 3, 5, 7, 9, 10, 10, 10 }), 5, 0, 10);
    		chart.addSeries("histogram", histogram.getxAxisData(), histogram.getyAxisData());
    
    		// 进行展示
    		new SwingWrapper<CategoryChart>(chart).displayChart();
    
    	}
    
    }

### 2. 堆积直方图 ###

![004164b1faa64d0c9a3a61016c3c196c.png][]

package plot;
    
    import java.util.ArrayList;
    import java.util.List;
    import java.util.Random;
    
    import org.knowm.xchart.CategoryChart;
    import org.knowm.xchart.CategoryChartBuilder;
    import org.knowm.xchart.Histogram;
    import org.knowm.xchart.SwingWrapper;
    import org.knowm.xchart.style.Styler.LegendPosition;
    
    public class Example {
    	public static void main(String[] args) {
    		// 创建Chart
    	    CategoryChart chart = new CategoryChartBuilder().width(800).height(600).title("Score Histogram").xAxisTitle("Mean").yAxisTitle("Count").build();
    	 
    	    // 自定义Chart
    	    chart.getStyler().setLegendPosition(LegendPosition.InsideNW);
    	    chart.getStyler().setAvailableSpaceFill(.5); // 设置有效填充区域占比
    	    chart.getStyler().setOverlapped(true);
    	 
    	    // 添加数据源
    	    Histogram histogram1 = new Histogram(getGaussianData(10000), 20, -20, 20);
    	    Histogram histogram2 = new Histogram(getGaussianData(5000), 20, -20, 20);
    	    chart.addSeries("histogram 1", histogram1.getxAxisData(), histogram1.getyAxisData());
    	    chart.addSeries("histogram 2", histogram2.getxAxisData(), histogram2.getyAxisData());
    	 
    	    // 显示图表
    	    new SwingWrapper<CategoryChart>(chart).displayChart();
    	}
    	private static List<Double> getGaussianData(int count) {
    		 
    	    List<Double> data = new ArrayList<Double>(count);
    	    Random r = new Random();
    	    for (int i = 0; i < count; i++) {
    	      data.add(r.nextGaussian() * 10);
    	    }
    	    return data;
    	  }
    }

### 3. 并列直方图 ###

![51ca301f4eea4922b49484c101e41c00.png][]

package plot;
    
    import java.util.ArrayList;
    import java.util.List;
    import java.util.Random;
    
    import org.knowm.xchart.CategoryChart;
    import org.knowm.xchart.CategoryChartBuilder;
    import org.knowm.xchart.Histogram;
    import org.knowm.xchart.SwingWrapper;
    import org.knowm.xchart.style.Styler;
    import org.knowm.xchart.style.Styler.LegendPosition;
    
    public class Example {
    
      public static void main(String[] args) {
    	  
    	// 创建Chart对象
        CategoryChart chart =
    	        new CategoryChartBuilder()
    	            .width(800)
    	            .height(600)
    	            .title("并列直方图")
    	            .xAxisTitle("Mean")
    	            .yAxisTitle("Count")
    	            .build();
        
    	// 自定义图表对象
    	chart.getStyler().setLegendPosition(LegendPosition.InsideNW);
    	chart.getStyler().setAvailableSpaceFill(.96);
    	chart.getStyler().setPlotGridVerticalLinesVisible(false);
    	chart.getStyler().setToolTipsEnabled(true);
    	chart.getStyler().setToolTipType(Styler.ToolTipType.yLabels);
    	
    	// 添加数据源
    	Histogram histogram1 = new Histogram(getGaussianData(1000), 10, -30, 30);
    	chart.addSeries("histogram 1", histogram1.getxAxisData(), histogram1.getyAxisData());
    	Histogram histogram2 = new Histogram(getGaussianData(1000), 10, -30, 30);
    	chart.addSeries("histogram 2", histogram2.getxAxisData(), histogram2.getyAxisData());
    	
    	//进行展示
    	new SwingWrapper<CategoryChart>(chart).displayChart();
    	  
      
      }
    
    
      private static List<Integer> getGaussianData(int count) {
    
        List<Integer> data = new ArrayList<Integer>(count);
        Random r = new Random();
        for (int i = 0; i < count; i++) {
          data.add((int) (r.nextGaussian() * 10));
        }
        return data;
      }
    
    }

## 四、散点图 ##

![c70269caed3a4d58a85c1e866f25e770.png][]

package plot;
    
    import java.util.LinkedList;
    import java.util.List;
    import java.util.Random;
    
    import org.knowm.xchart.SwingWrapper;
    import org.knowm.xchart.XYChart;
    import org.knowm.xchart.XYChartBuilder;
    import org.knowm.xchart.XYSeries.XYSeriesRenderStyle;
    import org.knowm.xchart.style.Styler.LegendPosition;
    
    
    public class SampleXchart {
    
      public static void main(String[] args) {
    
    	// Create Chart
        XYChart chart = new XYChartBuilder().width(800).height(600).build();
    	 
        // 设置图表样式
        chart.getStyler().setDefaultSeriesRenderStyle(XYSeriesRenderStyle.Scatter);
        chart.getStyler().setChartTitleVisible(false);
        chart.getStyler().setLegendPosition(LegendPosition.InsideSW);
        chart.getStyler().setMarkerSize(16);
    	 
        // 添加数据
        List<Double> xData = new LinkedList<Double>();
        List<Double> yData = new LinkedList<Double>();
        Random random = new Random();
        int size = 1000;
        for (int i = 0; i < size; i++) {
          xData.add(random.nextGaussian() / 1000);
          yData.add(random.nextGaussian());
        }
        chart.addSeries("Gaussian Blob", xData, yData);
        
        // 展示图表
        new SwingWrapper<XYChart>(chart).displayChart();
      }
    }

## 五、饼状图 ##

![2d2ad70a67f340378fbf56c2214302b0.png][]

package plot;
    
    import java.awt.Color;
    
    import org.knowm.xchart.PieChart;
    import org.knowm.xchart.PieChartBuilder;
    import org.knowm.xchart.SwingWrapper;
    
    public class BarChart01 {
    	 
    	  public static void main(String[] args) {
    		  PieChart chart = new PieChartBuilder().width(800).height(600).title("饼状图演示").build();
    			 
    		    // 创建Chart
    		    Color[] sliceColors = new Color[] { new Color(224, 68, 14), new Color(230, 105, 62), new Color(236, 143, 110), new Color(243, 180, 159), new Color(246, 199, 182) };
    		    chart.getStyler().setSeriesColors(sliceColors);
    		 
    		    // 添加数据源
    		    chart.addSeries("Gold", 24);
    		    chart.addSeries("Silver", 21);
    		    chart.addSeries("Platinum", 39);
    		    chart.addSeries("Copper", 17);
    		    chart.addSeries("Zinc", 40);
    			    
    			// 进行展示
    		    new SwingWrapper<PieChart>(chart).displayChart();
    		}
    	   
    }

## 六、绘制多幅图表 ##

![7449112b540d4d62a1b93bd9cd0434ab.png][]

package plot;
    
    import java.util.ArrayList;
    import java.util.List;
    
    import org.knowm.xchart.SwingWrapper;
    import org.knowm.xchart.XYChart;
    import org.knowm.xchart.XYChartBuilder;
    import org.knowm.xchart.XYSeries;
    import org.knowm.xchart.style.markers.SeriesMarkers;
    
    public class Example {
    	 
    	  public static void main(String[] args) {
    	 
    	    int numCharts = 4;
    	 
    	    List<XYChart> charts = new ArrayList<XYChart>();
    	 
    	    for (int i = 0; i < numCharts; i++) {
    	      XYChart chart = new XYChartBuilder().xAxisTitle("X").yAxisTitle("Y").width(600).height(400).build();
    	      chart.getStyler().setYAxisMin(-10.0); // 设置y轴的最小值
    	      chart.getStyler().setYAxisMax(10.0);  // 设置y轴的最大值
    	      // 添加数据源
    	      XYSeries series = chart.addSeries("" + i, null, getRandomWalk(200));
    	      // 不显示标记
    	      series.setMarker(SeriesMarkers.NONE);
    	      charts.add(chart);
    	    }
    	    // 显示图表
    	    new SwingWrapper<XYChart>(charts).displayChartMatrix();
    	  }
    	 
    	  /**
    	   * 产生随机游走数据
    	   *
    	   * @param numPoints
    	   * @return
    	   */
    	  private static double[] getRandomWalk(int numPoints) {
    	 
    	    double[] y = new double[numPoints];
    	    y[0] = 0;
    	    for (int i = 1; i < y.length; i++) {
    	      y[i] = y[i - 1] + Math.random() - .5;
    	    }
    	    return y;
    	  }
    	 
    }

## 七、自定义图表 ##

### 1. 基本自定义选项 ###

![d109d161da87434689cb7af124e6359a.png][]

package plot;
    
    import java.awt.Color;
    import java.awt.Font;
    import java.text.DateFormat;
    import java.text.ParseException;
    import java.text.SimpleDateFormat;
    import java.util.ArrayList;
    import java.util.Date;
    import java.util.List;
    import java.util.Locale;
    
    import org.knowm.xchart.SwingWrapper;
    import org.knowm.xchart.XYChart;
    import org.knowm.xchart.XYChartBuilder;
    import org.knowm.xchart.XYSeries;
    import org.knowm.xchart.style.Styler.LegendPosition;
    import org.knowm.xchart.style.colors.XChartSeriesColors;
    import org.knowm.xchart.style.lines.SeriesLines;
    import org.knowm.xchart.style.markers.SeriesMarkers;
    
    public class Example {
    	public static void main(String[] args) {
    		// 创建Chart对象
    	    XYChart chart = new XYChartBuilder().width(800).height(600).title("图表属性演示").xAxisTitle("X").yAxisTitle("Y").build();
    	 
    	    //=====================自定义图表对象=====================
    	    
    	    // 设置图表背景色
    	    chart.getStyler().setPlotBackgroundColor(Color.white);
    	    // 设置图表网格线是否可见
    	    chart.getStyler().setPlotGridLinesVisible(true);
    	    // 设置图表网格线颜色
    	    chart.getStyler().setPlotGridLinesColor(Color.black);
    	    // 设置图形背景色
    	    chart.getStyler().setChartBackgroundColor(Color.gray);
    	    // 设置图例背景色
    	    chart.getStyler().setLegendBackgroundColor(Color.red);
    	    // 设置图形字体颜色
    	    chart.getStyler().setChartFontColor(Color.orange);
    	    // 设置图形标题方框背景色
    	    chart.getStyler().setChartTitleBoxBackgroundColor(Color.green);
    	    // 设置图形标题方框是否可见
    	    chart.getStyler().setChartTitleBoxVisible(true);
    	    // 设置图形标题方框边缘颜色
    	    chart.getStyler().setChartTitleBoxBorderColor(new Color(210, 2, 0));
    	    
    	    // 设置坐标轴刻度与图表的距离
    	    chart.getStyler().setAxisTickPadding(10);
    	    chart.getStyler().setAxisTickMarkLength(10);
    	    // 设置绘图边框
    	    chart.getStyler().setPlotMargin(10);
    	 
    	    // 设置图表标题字体
    	    chart.getStyler().setChartTitleFont(new Font(Font.MONOSPACED, Font.BOLD, 24));
    	    // 设置图例字体
    	    chart.getStyler().setLegendFont(new Font(Font.SERIF, Font.PLAIN, 18));
    	    // 设置图例位置
    	    chart.getStyler().setLegendPosition(LegendPosition.InsideSE);
    	    // 设置图例线条长度
    	    chart.getStyler().setLegendSeriesLineLength(20);
    	    // 设置坐标轴字体
    	    chart.getStyler().setAxisTitleFont(new Font(Font.SANS_SERIF, Font.ITALIC, 18));
    	    // 设置坐标轴刻度字体
    	    chart.getStyler().setAxisTickLabelsFont(new Font(Font.SERIF, Font.PLAIN, 11));
    	    // 设置日期样式
    	    chart.getStyler().setDatePattern("dd-MMM");
    	    // 设置十进制样式
    	    chart.getStyler().setDecimalPattern("#0.000");
    	    // 设置区域
    	    chart.getStyler().setLocale(Locale.GERMAN);
    	 
    	    // 生成数据
    	    List<Date> xData = new ArrayList<Date>();
    	    List<Double> yData = new ArrayList<Double>();
    	 
    	    DateFormat sdf = new SimpleDateFormat("dd.MM.yyyy");
    	    Date date = null;
    	    for (int i = 1; i <= 10; i++) {
    	 
    	      try {
    	        date = sdf.parse(i + ".10.2008");
    	      } catch (ParseException e) {
    	        e.printStackTrace();
    	      }
    	      xData.add(date);
    	      yData.add(Math.random() * i);
    	    }
    	 
    	    // 设置数据样式
    	    XYSeries series = chart.addSeries("Fake Data", xData, yData);
    	    series.setLineColor(XChartSeriesColors.BLUE);
    	    series.setMarkerColor(Color.ORANGE);
    	    series.setMarker(SeriesMarkers.CIRCLE);
    	    series.setLineStyle(SeriesLines.SOLID);
    	 
    	    // 显示图表
    	    new SwingWrapper<XYChart>(chart).displayChart();
    	}
    }

### 2. Matlab风格 ###

![f7af0d69b812457fb39f6867d34fe818.png][]

package plot;
    
    import java.util.ArrayList;
    import java.util.Arrays;
    import java.util.List;
    
    import org.knowm.xchart.SwingWrapper;
    import org.knowm.xchart.XYChart;
    import org.knowm.xchart.XYChartBuilder;
    import org.knowm.xchart.XYSeries;
    import org.knowm.xchart.style.Styler.ChartTheme;
    import org.knowm.xchart.style.markers.SeriesMarkers;
    
    public class Example {
    
    	public static void main(String[] args) {
    
    		// 创建Chart
    		XYChart chart = new XYChartBuilder()
    				.width(800).height(600)
    				.theme(ChartTheme.Matlab)
    				.title("Matlab Theme")
    				.xAxisTitle("X").yAxisTitle("Y").build();
    
    		// 添加数据源
    		chart.getStyler().setPlotGridLinesVisible(false);
    		chart.getStyler().setXAxisTickMarkSpacingHint(100);
    
    		// Series
    		List<Integer> xData = new ArrayList<Integer>();
    		for (int i = 0; i < 640; i++) {
    			xData.add(i);
    		}
    		List<Double> y1Data = getYAxis(xData, 320, 160);
    		List<Double> y2Data = getYAxis(xData, 320, 320);
    		List<Double> y3Data = new ArrayList<Double>(xData.size());
    		for (int i = 0; i < 640; i++) {
    			y3Data.add(y1Data.get(i) - y2Data.get(i));
    		}
    
    		XYSeries series = chart.addSeries("Gaussian 1", xData, y1Data);
    		series.setMarker(SeriesMarkers.NONE);
    		series = chart.addSeries("Gaussian 2", xData, y2Data);
    		series.setMarker(SeriesMarkers.NONE);
    		series = chart.addSeries("Difference", xData, y3Data);
    		series.setMarker(SeriesMarkers.NONE);
    
    		// 进行展示
    		new SwingWrapper<XYChart>(chart).displayChart();
    
    	}
    
    	private static List<Double> getYAxis(List<Integer> xData, double mean, double std) {
    
    		List<Double> yData = new ArrayList<Double>(xData.size());
    
    		for (int i = 0; i < xData.size(); i++) {
    			yData.add((1 / (std * Math.sqrt(2 * Math.PI)))
    					* Math.exp(-(((xData.get(i) - mean) * (xData.get(i) - mean)) / ((2 * std * std)))));
    		}
    		return yData;
    	}
    
    }

## 八、保存图片到本地 ##

BitmapEncoder.saveBitmap(chart, "./Sample_Chart", BitmapFormat.PNG);
    BitmapEncoder.saveBitmap(chart, "./Sample_Chart", BitmapFormat.JPG);
    BitmapEncoder.saveJPGWithQuality(chart, "./Sample_Chart_With_Quality.jpg", 0.95f);
    BitmapEncoder.saveBitmap(chart, "./Sample_Chart", BitmapFormat.BMP);
    BitmapEncoder.saveBitmap(chart, "./Sample_Chart", BitmapFormat.GIF);
    
    BitmapEncoder.saveBitmapWithDPI(chart, "./Sample_Chart_300_DPI", BitmapFormat.PNG, 300);
    BitmapEncoder.saveBitmapWithDPI(chart, "./Sample_Chart_300_DPI", BitmapFormat.JPG, 300);
    BitmapEncoder.saveBitmapWithDPI(chart, "./Sample_Chart_300_DPI", BitmapFormat.GIF, 300);
    
    VectorGraphicsEncoder.saveVectorGraphic(chart, "./Sample_Chart", VectorGraphicsFormat.EPS);
    VectorGraphicsEncoder.saveVectorGraphic(chart, "./Sample_Chart", VectorGraphicsFormat.PDF);
    VectorGraphicsEncoder.saveVectorGraphic(chart, "./Sample_Chart", VectorGraphicsFormat.SVG);

[https_download.csdn.net_download_hfy1237_86508408]: https://download.csdn.net/download/hfy1237/86508408
[https_download.csdn.net_download_hfy1237_86508849]: https://download.csdn.net/download/hfy1237/86508849
[cc9bcc25409646e8b6c19ab28d803ec7.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/07/7be5774d2c5a4dd29e3920c324664934.png
[1ab054d09a19438396c9e9966add87b9.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/07/7d40cf87007b477c81657c9dc577b16d.png
[64b11e638c8c4b0989113bfb0054fc38.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/07/eb0b20e0bcfe4b5f9f070e319fc80fc4.png
[617d54fb655b425aa796fc574a25b846.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/07/b98510c840fc4f25ae9220f7a3394b17.png
[39484b958d304b9dbd9d8c5dd80dbed3.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/07/8bd460d2f51e42e3a43cb6758007d3cb.png
[cccbac16a3d94da2b1fc88648461365a.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/07/1e089bc048d54ec998d8a4500bd66cf6.png
[65c0807e4b6f4fbf805104e0254685f9.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/07/3222bb98acb441d483053e3aa11a59c3.png
[004164b1faa64d0c9a3a61016c3c196c.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/07/de16fb03d7a14e79a877a0270f64a70f.png
[51ca301f4eea4922b49484c101e41c00.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/07/a4d3c1c77a134f38812dcdd7554ef987.png
[c70269caed3a4d58a85c1e866f25e770.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/07/d445a65f7ffa49668d77d8348f092bab.png
[2d2ad70a67f340378fbf56c2214302b0.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/07/be045b4448084a34a44bdcb8dd7ca228.png
[7449112b540d4d62a1b93bd9cd0434ab.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/07/79b2d36a96d8453ebb3807f2ca2b95da.png
[d109d161da87434689cb7af124e6359a.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/07/860ea17bdc2b4d9d90b6089e735e7bb1.png
[f7af0d69b812457fb39f6867d34fe818.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/07/720e23ad86374cc996231c7dfa9d983d.png