private StringBuilder prettyPrint(Node root, int currentHeight, int totalHeight) {
        StringBuilder sb = new StringBuilder();
        int spaces = getSpaceCount(totalHeight-currentHeight + 1);
        if(root == null) {
            //create a 'spatial' block and return it
            String row = String.format("%"+(2*spaces+1)+"s%n", "");
            //now repeat this row space+1 times
            String block = new String(new char[spaces+1]).replace("\0", row);
            return new StringBuilder(block);
        }
        if(currentHeight==totalHeight) return new StringBuilder(root.data+"");
        int slashes = getSlashCount(totalHeight-currentHeight +1);
        sb.append(String.format("%"+(spaces+1)+"s%"+spaces+"s", root.data+"", ""));
        sb.append("\n");
        //now print / and \
        // but make sure that left and right exists
        char leftSlash = root.left == null? ' ':'/';
        char rightSlash = root.right==null? ' ':'\\';
        int spaceInBetween = 1;
        for(int i=0, space = spaces-1; i<slashes; i++, space --, spaceInBetween+=2) {
            for(int j=0; j<space; j++) sb.append(" ");
            sb.append(leftSlash);
            for(int j=0; j<spaceInBetween; j++) sb.append(" ");
            sb.append(rightSlash+"");
            for(int j=0; j<space; j++) sb.append(" ");
            sb.append("\n");
        }
        //sb.append("\n");

        //now get string representations of left and right subtrees
        StringBuilder leftTree = prettyPrint(root.left, currentHeight+1, totalHeight);
        StringBuilder rightTree = prettyPrint(root.right, currentHeight+1, totalHeight);
        // now line by line print the trees side by side
        Scanner leftScanner = new Scanner(leftTree.toString());
        Scanner rightScanner = new Scanner(rightTree.toString());
//      spaceInBetween+=1;
        while(leftScanner.hasNextLine()) {
            if(currentHeight==totalHeight-1) {
                sb.append(String.format("%-2s %2s", leftScanner.nextLine(), rightScanner.nextLine()));
                sb.append("\n");
                spaceInBetween-=2;              
            }
            else {
                sb.append(leftScanner.nextLine());
                sb.append(" ");
                sb.append(rightScanner.nextLine()+"\n");
            }
        }

        return sb;

    }
private int getSpaceCount(int height) {
        return (int) (3*Math.pow(2, height-2)-1);
    }
private int getSlashCount(int height) {
        if(height <= 3) return height -1;
        return (int) (3*Math.pow(2, height-3)-1);
    }

https://github.com/murtraja/java-binary-tree-printer

只适用于1到2位整数(我懒得让它通用)

一个Scala解决方案，改编自Vasya Novikov的答案，专门用于二叉树:

/** An immutable Binary Tree. */
case class BTree[T](value: T, left: Option[BTree[T]], right: Option[BTree[T]]) {

  /* Adapted from: http://stackoverflow.com/a/8948691/643684 */
  def pretty: String = {
    def work(tree: BTree[T], prefix: String, isTail: Boolean): String = {
      val (line, bar) = if (isTail) ("└── ", " ") else ("├── ", "│")

      val curr = s"${prefix}${line}${tree.value}"

      val rights = tree.right match {
        case None    => s"${prefix}${bar}   ├── ∅"
        case Some(r) => work(r, s"${prefix}${bar}   ", false)
      }

      val lefts = tree.left match {
        case None    => s"${prefix}${bar}   └── ∅"
        case Some(l) => work(l, s"${prefix}${bar}   ", true)
      }

      s"${curr}\n${rights}\n${lefts}"

    }

    work(this, "", true)
  }
}

按行打印[大]树。

输出的例子:

z
├── c
│   ├── a
│   └── b
├── d
├── e
│   └── asdf
└── f

代码:

public class TreeNode {

    final String name;
    final List<TreeNode> children;

    public TreeNode(String name, List<TreeNode> children) {
        this.name = name;
        this.children = children;
    }

    public String toString() {
        StringBuilder buffer = new StringBuilder(50);
        print(buffer, "", "");
        return buffer.toString();
    }

    private void print(StringBuilder buffer, String prefix, String childrenPrefix) {
        buffer.append(prefix);
        buffer.append(name);
        buffer.append('\n');
        for (Iterator<TreeNode> it = children.iterator(); it.hasNext();) {
            TreeNode next = it.next();
            if (it.hasNext()) {
                next.print(buffer, childrenPrefix + "├── ", childrenPrefix + "│   ");
            } else {
                next.print(buffer, childrenPrefix + "└── ", childrenPrefix + "    ");
            }
        }
    }
}

附注:这个答案并不完全关注“二叉”树——相反，它打印了各种类型的树。解决方案的灵感来自linux中的“树”命令。

试试这个:

public static void print(int[] minHeap, int minWidth) {

    int size = minHeap.length;

    int level = log2(size);
    int maxLength = (int) Math.pow(2, level) * minWidth;
    int currentLevel = -1 ;
    int width = maxLength;

    for (int i = 0; i < size; i++) {
        if (log2(i + 1) > currentLevel) {
            currentLevel++;
            System.out.println();
            width = maxLength / (int) Math.pow(2, currentLevel);
        }
        System.out.print(StringUtils.center(String.valueOf(minHeap[i]), width));
    }
    System.out.println();
}

private static int log2(int n) {
    return (int) (Math.log(n) / Math.log(2));
}

这段代码片段的思想是用maxLength(即底线的长度)除以每一行的元素数量来得到块宽度。然后把元素放在每个块的中间。

参数minWidth表示底部行中块的长度。

用一张图片来说明想法并展示结果。

https://github.com/AharonSambol/PrettyPrintTreeJava

我知道我迟到了。但是我做了这个解决方案，不仅适用于简单的树，也适用于更复杂的树(如多行字符串)

示例输出:

与垂直表示相比，水平表示有点复杂。垂直打印只是简单的RNL(右->节点->左或镜像的顺序)遍历，以便先打印右子树，然后打印左子树。

def printFullTree(root, delim=' ', idnt=[], left=None):
    if root:
        idnt.append(delim)
        x, y = setDelims(left)
        printFullTree(root.right, x, idnt, False)
        indent2(root.val, idnt)
        printFullTree(root.left, y, idnt, True)
        idnt.pop()

def setDelims(left):
    x = ' '; y='|'
    return (y,x) if (left == True) else (x,y) if (left == False) else (x,x)

def indent2(x, idnt, width=6):
    for delim in idnt:
        print(delim + ' '*(width-1), end='')
    print('|->', x)

output:
                        |-> 15
                  |-> 14
                  |     |-> 13
            |-> 12
            |     |     |-> 11
            |     |-> 10
            |           |-> 9
      |-> 8
            |           |-> 7
            |     |-> 6
            |     |     |-> 4
            |-> 3
                  |     |-> 2
                  |-> 1
                        |-> 0

在水平表示中，显示由TreeMap的HashMap或HashMap<Integer, TreeMap<Integer, Object>> xy构建;其中HashMap包含节点的y轴/level_no作为Key, TreeMap作为value。Treemap内部保存同一级别的所有节点，按它们的x轴值排序，作为键，从最左端开始-ve，根=0，最右端=+ve。

如果使用自平衡树/Treap，则使用HashMap使算法在每个级别的O(1)查找中工作，并在O(logn)中使用TreeMap排序。

不过，在这样做的时候，不要忘记为空子存储占位符，例如' '/空格，这样树看起来就像预期的那样。

现在唯一剩下的就是计算水平节点的距离，这可以用一些数学计算来完成，

计算树的宽度和高度。 一旦完成，在显示节点时，根据计算的宽度，高度和倾斜信息(如果有的话)，以最佳距离呈现它们。