Java 使用StringBuilder（）将数组解析为带有标题的CSV--标题行问题

我有一个标记数据元素的向量，如下所示：

setosa,1.0,versicolor,0.0,virginica,0.0,
1.0,0.0,0.0,
1.0,0.0,0.0,
1.0,0.0,0.0,
1.0,0.0,0.0,
1.0,0.0,0.0,
1.0,0.0,0.0,

[label1:1.1，label2:2.43，label3:0.5]

[label1:0.1，label2:2.0，label3:1.0]

可以有任意数量的元素，其中每个元素基本上对应于一行数据。我试图将其解析为带有列标题的CSV，如下所示：

setosa,1.0,versicolor,0.0,virginica,0.0,
1.0,0.0,0.0,
1.0,0.0,0.0,
1.0,0.0,0.0,
1.0,0.0,0.0,
1.0,0.0,0.0,
1.0,0.0,0.0,

我一直在使用

StringBuilder（）

构造函数，希望继续使用它，但如果必要，我可以使用其他方法

除了从第一行数字结果中分离标题外，我几乎已经实现了这一点

我有一个遍历数组元素（“行”）的外循环和一个遍历每个数组元素（“列”）的每个部分的内循环，在上面的示例中，我们有2个“行”（元素）和3个“列”（成员索引）

我的代码如下所示（下面的块创建CSV并打印到屏幕）：

---

其中setosa、versicolor和VIGINICA是标签。正如您所看到的，它从第二行开始工作，但我不知道如何修复第一行。

如果我正确理解您的问题，您将在for循环的内部同时获得第一行的标签和值，并在它们出现时进行追加。如果要分离标签，可以对内环零件进行如下更改：

StringBuilder labelRow = new StringBuilder();

    // Loop over all the prediction labels in the distribution.
    for (int predictionDistributionIndex = 0; 
         predictionDistributionIndex < predictionDistribution.length; 
         predictionDistributionIndex++)
    {
        // Get this distribution index's class label.
        String predictionDistributionIndexAsClassLabel = 
            newTest.classAttribute().value(
                predictionDistributionIndex);

        // Get the probability.
        double predictionProbability = 
            predictionDistribution[predictionDistributionIndex];

        System.out.printf("[%10s : %6.3f]", 
                          predictionDistributionIndexAsClassLabel, 
                          predictionProbability );
        if(i == 0){
            labelRow.append(predictionDistributionIndexAsClassLabel+",");

            if(predictionDistributionIndex == predictionDistribution.length){
                builder.append("\n");
            }

        }

        // Add probabilities as rows     
        builder.append(predictionProbability+",");

     }
     if(i == 0){
          builder.insert(0,labelRow.toString()+"\n");
     }

StringBuilder labelRow=new StringBuilder（）；
//在分布中的所有预测标签上循环。
对于（int-predictionDistributionIndex=0；
predictionDistributionIndex

它所做的是在一个单独的

StringBuilder

中收集标签，稍后您可以将其插入最终

builder

值的开头

StringBuilder labelRow = new StringBuilder();

    // Loop over all the prediction labels in the distribution.
    for (int predictionDistributionIndex = 0; 
         predictionDistributionIndex < predictionDistribution.length; 
         predictionDistributionIndex++)
    {
        // Get this distribution index's class label.
        String predictionDistributionIndexAsClassLabel = 
            newTest.classAttribute().value(
                predictionDistributionIndex);

        // Get the probability.
        double predictionProbability = 
            predictionDistribution[predictionDistributionIndex];

        System.out.printf("[%10s : %6.3f]", 
                          predictionDistributionIndexAsClassLabel, 
                          predictionProbability );
        if(i == 0){
            labelRow.append(predictionDistributionIndexAsClassLabel+",");

            if(predictionDistributionIndex == predictionDistribution.length){
                builder.append("\n");
            }

        }

        // Add probabilities as rows     
        builder.append(predictionProbability+",");

     }
     if(i == 0){
          builder.insert(0,labelRow.toString()+"\n");
     }