我如何在Java中打印一个二叉树,这样输出就像:
4
/ \
2 5
我的节点:
public class Node<A extends Comparable> {
Node<A> left, right;
A data;
public Node(A data){
this.data = data;
}
}
我如何在Java中打印一个二叉树,这样输出就像:
4
/ \
2 5
我的节点:
public class Node<A extends Comparable> {
Node<A> left, right;
A data;
public Node(A data){
this.data = data;
}
}
当前回答
我为此做了一个改进的算法,可以很好地处理不同大小的节点。它使用行自上而下地打印。
package alg;
import java.util.ArrayList;
import java.util.List;
/**
* Binary tree printer
*
* @author MightyPork
*/
public class TreePrinter
{
/** Node that can be printed */
public interface PrintableNode
{
/** Get left child */
PrintableNode getLeft();
/** Get right child */
PrintableNode getRight();
/** Get text to be printed */
String getText();
}
/**
* Print a tree
*
* @param root
* tree root node
*/
public static void print(PrintableNode root)
{
List<List<String>> lines = new ArrayList<List<String>>();
List<PrintableNode> level = new ArrayList<PrintableNode>();
List<PrintableNode> next = new ArrayList<PrintableNode>();
level.add(root);
int nn = 1;
int widest = 0;
while (nn != 0) {
List<String> line = new ArrayList<String>();
nn = 0;
for (PrintableNode n : level) {
if (n == null) {
line.add(null);
next.add(null);
next.add(null);
} else {
String aa = n.getText();
line.add(aa);
if (aa.length() > widest) widest = aa.length();
next.add(n.getLeft());
next.add(n.getRight());
if (n.getLeft() != null) nn++;
if (n.getRight() != null) nn++;
}
}
if (widest % 2 == 1) widest++;
lines.add(line);
List<PrintableNode> tmp = level;
level = next;
next = tmp;
next.clear();
}
int perpiece = lines.get(lines.size() - 1).size() * (widest + 4);
for (int i = 0; i < lines.size(); i++) {
List<String> line = lines.get(i);
int hpw = (int) Math.floor(perpiece / 2f) - 1;
if (i > 0) {
for (int j = 0; j < line.size(); j++) {
// split node
char c = ' ';
if (j % 2 == 1) {
if (line.get(j - 1) != null) {
c = (line.get(j) != null) ? '┴' : '┘';
} else {
if (j < line.size() && line.get(j) != null) c = '└';
}
}
System.out.print(c);
// lines and spaces
if (line.get(j) == null) {
for (int k = 0; k < perpiece - 1; k++) {
System.out.print(" ");
}
} else {
for (int k = 0; k < hpw; k++) {
System.out.print(j % 2 == 0 ? " " : "─");
}
System.out.print(j % 2 == 0 ? "┌" : "┐");
for (int k = 0; k < hpw; k++) {
System.out.print(j % 2 == 0 ? "─" : " ");
}
}
}
System.out.println();
}
// print line of numbers
for (int j = 0; j < line.size(); j++) {
String f = line.get(j);
if (f == null) f = "";
int gap1 = (int) Math.ceil(perpiece / 2f - f.length() / 2f);
int gap2 = (int) Math.floor(perpiece / 2f - f.length() / 2f);
// a number
for (int k = 0; k < gap1; k++) {
System.out.print(" ");
}
System.out.print(f);
for (int k = 0; k < gap2; k++) {
System.out.print(" ");
}
}
System.out.println();
perpiece /= 2;
}
}
}
要在树中使用它,让Node类实现PrintableNode。
示例输出:
2952:0
┌───────────────────────┴───────────────────────┐
1249:-1 5866:0
┌───────────┴───────────┐ ┌───────────┴───────────┐
491:-1 1572:0 4786:1 6190:0
┌─────┘ └─────┐ ┌─────┴─────┐
339:0 5717:0 6061:0 6271:0
其他回答
迈克尔。克鲁兹曼,我不得不说,这人不错。这很有用。
然而,上面的方法只适用于个位数:如果您要使用多个数字,结构将会错位,因为您使用的是空格而不是制表符。
至于我后来的代码,我需要更多的数字,所以我自己编写了一个程序。
它现在有一些bug,现在我感觉很懒去纠正它们,但它打印得非常漂亮,节点可以接受更大数量的数字。
这棵树不会像问题提到的那样,但它旋转了270度:)
public static void printBinaryTree(TreeNode root, int level){
if(root==null)
return;
printBinaryTree(root.right, level+1);
if(level!=0){
for(int i=0;i<level-1;i++)
System.out.print("|\t");
System.out.println("|-------"+root.val);
}
else
System.out.println(root.val);
printBinaryTree(root.left, level+1);
}
将此函数与您自己指定的TreeNode一起放置,并保持初始级别为0,并享受!
以下是一些输出示例:
| | |-------11
| |-------10
| | |-------9
|-------8
| | |-------7
| |-------6
| | |-------5
4
| |-------3
|-------2
| |-------1
| | | |-------10
| | |-------9
| |-------8
| | |-------7
|-------6
| |-------5
4
| |-------3
|-------2
| |-------1
唯一的问题是延伸的分支;我会尽快解决这个问题,但在此之前你也可以使用它。
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。
我为此做了一个改进的算法,可以很好地处理不同大小的节点。它使用行自上而下地打印。
package alg;
import java.util.ArrayList;
import java.util.List;
/**
* Binary tree printer
*
* @author MightyPork
*/
public class TreePrinter
{
/** Node that can be printed */
public interface PrintableNode
{
/** Get left child */
PrintableNode getLeft();
/** Get right child */
PrintableNode getRight();
/** Get text to be printed */
String getText();
}
/**
* Print a tree
*
* @param root
* tree root node
*/
public static void print(PrintableNode root)
{
List<List<String>> lines = new ArrayList<List<String>>();
List<PrintableNode> level = new ArrayList<PrintableNode>();
List<PrintableNode> next = new ArrayList<PrintableNode>();
level.add(root);
int nn = 1;
int widest = 0;
while (nn != 0) {
List<String> line = new ArrayList<String>();
nn = 0;
for (PrintableNode n : level) {
if (n == null) {
line.add(null);
next.add(null);
next.add(null);
} else {
String aa = n.getText();
line.add(aa);
if (aa.length() > widest) widest = aa.length();
next.add(n.getLeft());
next.add(n.getRight());
if (n.getLeft() != null) nn++;
if (n.getRight() != null) nn++;
}
}
if (widest % 2 == 1) widest++;
lines.add(line);
List<PrintableNode> tmp = level;
level = next;
next = tmp;
next.clear();
}
int perpiece = lines.get(lines.size() - 1).size() * (widest + 4);
for (int i = 0; i < lines.size(); i++) {
List<String> line = lines.get(i);
int hpw = (int) Math.floor(perpiece / 2f) - 1;
if (i > 0) {
for (int j = 0; j < line.size(); j++) {
// split node
char c = ' ';
if (j % 2 == 1) {
if (line.get(j - 1) != null) {
c = (line.get(j) != null) ? '┴' : '┘';
} else {
if (j < line.size() && line.get(j) != null) c = '└';
}
}
System.out.print(c);
// lines and spaces
if (line.get(j) == null) {
for (int k = 0; k < perpiece - 1; k++) {
System.out.print(" ");
}
} else {
for (int k = 0; k < hpw; k++) {
System.out.print(j % 2 == 0 ? " " : "─");
}
System.out.print(j % 2 == 0 ? "┌" : "┐");
for (int k = 0; k < hpw; k++) {
System.out.print(j % 2 == 0 ? "─" : " ");
}
}
}
System.out.println();
}
// print line of numbers
for (int j = 0; j < line.size(); j++) {
String f = line.get(j);
if (f == null) f = "";
int gap1 = (int) Math.ceil(perpiece / 2f - f.length() / 2f);
int gap2 = (int) Math.floor(perpiece / 2f - f.length() / 2f);
// a number
for (int k = 0; k < gap1; k++) {
System.out.print(" ");
}
System.out.print(f);
for (int k = 0; k < gap2; k++) {
System.out.print(" ");
}
}
System.out.println();
perpiece /= 2;
}
}
}
要在树中使用它,让Node类实现PrintableNode。
示例输出:
2952:0
┌───────────────────────┴───────────────────────┐
1249:-1 5866:0
┌───────────┴───────────┐ ┌───────────┴───────────┐
491:-1 1572:0 4786:1 6190:0
┌─────┘ └─────┐ ┌─────┴─────┐
339:0 5717:0 6061:0 6271:0
下面是可视化树的另一种方法:将节点保存为xml文件,然后让浏览器显示层次结构:
class treeNode{
int key;
treeNode left;
treeNode right;
public treeNode(int key){
this.key = key;
left = right = null;
}
public void printNode(StringBuilder output, String dir){
output.append("<node key='" + key + "' dir='" + dir + "'>");
if(left != null)
left.printNode(output, "l");
if(right != null)
right.printNode(output, "r");
output.append("</node>");
}
}
class tree{
private treeNode treeRoot;
public tree(int key){
treeRoot = new treeNode(key);
}
public void insert(int key){
insert(treeRoot, key);
}
private treeNode insert(treeNode root, int key){
if(root == null){
treeNode child = new treeNode(key);
return child;
}
if(key < root.key)
root.left = insert(root.left, key);
else if(key > root.key)
root.right = insert(root.right, key);
return root;
}
public void saveTreeAsXml(){
StringBuilder strOutput = new StringBuilder();
strOutput.append("<?xml version=\"1.0\" encoding=\"UTF-8\"?>");
treeRoot.printNode(strOutput, "root");
try {
PrintWriter writer = new PrintWriter("C:/tree.xml", "UTF-8");
writer.write(strOutput.toString());
writer.close();
}
catch (FileNotFoundException e){
}
catch(UnsupportedEncodingException e){
}
}
}
下面是测试它的代码:
tree t = new tree(1);
t.insert(10);
t.insert(5);
t.insert(4);
t.insert(20);
t.insert(40);
t.insert(30);
t.insert(80);
t.insert(60);
t.insert(50);
t.saveTreeAsXml();
输出如下所示:
using map...
{
Map<Integer,String> m = new LinkedHashMap<>();
tn.printNodeWithLvl(node,l,m);
for(Entry<Integer, String> map :m.entrySet()) {
System.out.println(map.getValue());
}
then....method
private void printNodeWithLvl(Node node,int l,Map<Integer,String> m) {
if(node==null) {
return;
}
if(m.containsKey(l)) {
m.put(l, new StringBuilder(m.get(l)).append(node.value).toString());
}else {
m.put(l, node.value+"");
}
l++;
printNodeWithLvl( node.left,l,m);
printNodeWithLvl(node.right,l,m);
}
}