Java-根据列将CSV解析为数组

问题描述

我想寻求有关此任务的帮助:我有这样的CSV例如:

column1$column2$column3
123$xyz$321
456$zyx$654

我想通过Java将其解析为列/标题的Arrays/Array列表->例如

ArrayList column1 = [123,456]
ArrayList column2 = [xyz,zyx]
ArrayList column3 = [321,654]

谢谢大家.

解决方案

这就是我要这样做的方式...，请注意要将列放在另一个List中的方法，以减少代码并提高动态性.

>

public static void main(String[] args) {
    ArrayList<ArrayList<String>> columns = new ArrayList<ArrayList<String>>();
    BufferedReader br = null;
    try {
        String sCurrentLine;
        br = new BufferedReader(new FileReader("testing.cvs"));

        while ((sCurrentLine = br.readLine()) != null) {
            String[] fields = sCurrentLine.split("\\$");
            for (int i = 0; i < fields.length; i++) {
                if (columns.size()<=i){
                    columns.add(new ArrayList<String>());
                }
                columns.get(i).add(fields[i]);
            }
        }

    } catch (IOException e) {
        e.printStackTrace();
    } finally {
        try {
            if (br != null)br.close();
        } catch (IOException ex) {
            ex.printStackTrace();
        }
    }
}

I would like to ask for help with this task:I have CSV for example like this:

column1$column2$column3
123$xyz$321
456$zyx$654

And I would like to parse it by Java to Arrays / Array lists by columns / headers -> for example

ArrayList column1 = [123,456]
ArrayList column2 = [xyz,zyx]
ArrayList column3 = [321,654]

Thanks everyone.

解决方案

This is how I would have done this..., note the metod to put the columns in another List for less code and to be more dynamic.

public static void main(String[] args) {
    ArrayList<ArrayList<String>> columns = new ArrayList<ArrayList<String>>();
    BufferedReader br = null;
    try {
        String sCurrentLine;
        br = new BufferedReader(new FileReader("testing.cvs"));

        while ((sCurrentLine = br.readLine()) != null) {
            String[] fields = sCurrentLine.split("\\$");
            for (int i = 0; i < fields.length; i++) {
                if (columns.size()<=i){
                    columns.add(new ArrayList<String>());
                }
                columns.get(i).add(fields[i]);
            }
        }

    } catch (IOException e) {
        e.printStackTrace();
    } finally {
        try {
            if (br != null)br.close();
        } catch (IOException ex) {
            ex.printStackTrace();
        }
    }
}

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