c#迭代遍历带数组的json格式数据
【1】首先我们先创建一个带数组形式的json格式的数组
1)我们按照结构定义一个类，如下：
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Collections;
using System.IO;
namespace ceshi1
{
class Data
{
public string text
{
get;
set;
}
public int nodeType
{
get;
set;
}
public int nodeID
{
get;
set;
}
public bool leaf
{
get;
set;
}
public int devicedID
{
get;
set;
}
public List<Data> children
{
get;
set;
}
}
}
【2】我们来创造生成一个结构
//定义一个数据结构
Data data = new Data();
data.nodeType = 1;
data.nodeID = 10;
data.leaf = false;
data.devicedID = 10;
data.text = "直流监测";
data.children = new List<Data>(){
new Data(){
nodeType = 11,
nodeID = 101,
leaf = false,
devicedID = 101,
text = "广州局",
children = new List<Data>(){
new Data(){
nodeType = 111,
nodeID = 1011,
leaf = false,
devicedID = 1011,
text = "从化站",
children = new List<Data>(){
new Data(){
nodeType = 1111,
nodeID = 10111,
leaf = true,
devicedID = 10111,
text = "从化站#1主变",
children = new List<Data>(){}
},
new Data(){
nodeType = 1112,
nodeID = 10112,
leaf = true,
devicedID = 10112,
text = "从化站#2主变",
children = new List<Data>(){}
}
}
},
new Data(){
nodeType = 112,
nodeID = 1012,
leaf = false,
devicedID = 1012,
text = "板桥站",
children = new List<Data>(){
new Data(){
nodeType = 1121,
nodeID = 10121,
leaf = true,
devicedID = 1021,
text = "板桥站#1主变",
children = new List<Data>(){}
}
}
}
}
},
new Data(){
nodeType = 12,
nodeID = 102,
leaf = false,
devicedID = 102,
text = "深圳局",
children = new List<Data>(){
new Data(){
nodeType = 121,
nodeID = 1021,
leaf = false,
devicedID = 1021,
text = "福田站",
children = new List<Data>(){
new Data(){
nodeType = 1211,
nodeID = 10211,
leaf = true,
devicedID = 10211,
text = "板桥站#1主变",
children = new List<Data>(){}
}
}
}
}
},
new Data(){
nodeType = 13,
nodeID = 103,
leaf = false,
devicedID = 103,
text = "珠海局",
children = new List<Data>(){
new Data(){}
}
}
};
Console.WriteLine(data);
我们打印出来的对象为：ceshi1.Data;它是以一个对象的形式呈现；
【3】我们附加一点字符串/对象/json格式的转换方法讲解
首先引入第三方库：
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;
<a>将data序列化为json字符串
string json = JsonConvert.SerializeObject(data);
Console.WriteLine(json);
打印结果为（字符串）：
{"text":"直流监测","nodeType":1,"nodeID":10,"leaf":false,"devicedID":10,"children":[{"text":"广州局","nodeType":11,"nodeID":101,"leaf":false,"devicedID":101,"children":[{"text":"从化站","nodeType":111,"nodeID":1011,"leaf":false,"devicedID":1011,"children":[{"text":"从化站#1主变","nodeType":1111,"nodeID":10111,"leaf":true,"devicedID":10111,"children":[]},{"text":"从化站#2主变","nodeType":1112,"nodeID":10112,"leaf":true,"devicedID":10112,"children":[]}]},{"text":"板桥站","nodeType":112,"nodeID":1012,"leaf":false,"devicedID":1012,"children":[{"text":"板桥站#1主变","nodeType":1121,"nodeID":10121,"leaf":true,"devicedID":1021,"children":[]}]}]},{"text":"深圳局","nodeType":12,"nodeID":102,"leaf":false,"devicedID":102,"children":[{"text":"福田站","nodeType":121,"nodeID":1021,"leaf":false,"devicedID":1021,"children":[{"text":"板桥站#1主
变","nodeType":1211,"nodeID":10211,"leaf":true,"devicedID":10211,"children":[]}]}]},{"text":"珠海局","nodeType":13,"nodeID":103,"leaf":false,"devicedID":103,"children":[{"text":null,"nodeType":0,"nodeID":0,"leaf":false,"devicedID":0,"children":null}]}]}
<b>有序列化，肯定有反序列化，将json反序列化为data,反序列化为对象
Data jsonData = JsonConvert.DeserializeObject<Data>(json);
Console.WriteLine(data);
打印结果为（对象）:
ceshi1.Data;
<c>将json字符串格式化
JObject jo = (JObject)JsonConvert.DeserializeObject(json);
Console.WriteLine(jo);
打印结果为（json格式）：
{
"text": "直流监测",
"nodeType": 1,
"nodeID": 10,
"leaf": false,
"devicedID": 10,
"children": [
{
"text": "广州局",
"nodeType": 11,
"nodeID": 101,
"leaf": false,
"devicedID": 101,
"children": [
{
"text": "从化站",
"nodeType": 111,
"nodeID": 1011,
"leaf": false,
"devicedID": 1011,
"children": [
{
"text": "从化站#1主变",
"nodeType": 1111,
"nodeID": 10111,
"leaf": true,
"devicedID": 10111,
"children": []
},
{
"text": "从化站#2主变",
"nodeType": 1112,
"nodeID": 10112,
"leaf": true,
"devicedID": 10112,
"children": []
}
]
},
{
"text": "板桥站",
"nodeType": 112,
"nodeID": 1012,
"leaf": false,
"devicedID": 1012,
"children": [
{
"text": "板桥站#1主变",
"nodeType": 1121,
"nodeID": 10121,
"leaf": true,
"devicedID": 1021,
"children": []
}
]
}
]
},
{
"text": "深圳局",
"nodeType": 12,
"nodeID": 102,
"leaf": false,
"devicedID": 102,
"children": [
{
"text": "福田站",
"nodeType": 121,
"nodeID": 1021,
"leaf": false,
"devicedID": 1021,
"children": [
{
"text": "板桥站#1主变",
"nodeType": 1211,
"nodeID": 10211,
"leaf": true,
"devicedID": 10211,
"children": []
}
]
}
]
},
{
"text": "珠海局",
"nodeType": 13,
"nodeID": 103,
"leaf": false,
"devicedID": 103,
"children": [
{
"text": null,
"nodeType": 0,
"nodeID": 0,
"leaf": false,
"devicedID": 0,
"children": null
}
]
}
]
}
到这一步，数据已经生成了，各位看官想要的三种数据形式都已经有了，接下来就是我们的重头戏了；
【4】迭代遍历取节点
需求：取出最底层的leaf = true或者Children为null的情况的节点所有的nodeType/nodeID/devicedID/text值；并以数组或者list的方式返回
a)下面我们定义一个迭代方法：
public static void FindAll(Data inputData, ref List<Data> data)
{
if (inputData.leaf)
{
data.Add(inputData);
}
else
{
if (inputData.children == null) return;
foreach (var item in inputData.children)
{
if (item.leaf)
{
data.Add(item);
}
else
{
FindAll(item,ref data);
}
}
}
}
b)我们在main函数（或者需要的地方）中调用，加上如下代码：
//序列化为json字符串
string json = JsonConvert.SerializeObject(data);
//Console.WriteLine(json);
//反序列化为对象
Data jsonData = JsonConvert.DeserializeObject<Data>(json);
//Console.WriteLine(data);
//json格式化
JObject jo = (JObject)JsonConvert.DeserializeObject(json);
//Console.WriteLine(jo);
//问题：
//取出最底层的leaf = true或者Children为空的情况的节点所有的nodeType/nodeID/devicedID/text值？
//需要迭代遍历？
var resultData = new List<Data>();
FindAll(data, ref resultData);
Console.ReadKey();
【5】检验是否正确
到这一步，我们基本上已经完成了，我们来测试一下最终的结果，遍历一下这个返回结果resultData
for (int i = 0; i < resultData.Count;i++ )
{
Console.WriteLine(JsonConvert.SerializeObject(resultData[i]));
}
输出结果如下：
{"text":"从化站#1主变","nodeType":1111,"nodeID":10111,"leaf":true,"devicedID":10111,"children":[]}
{"text":"从化站#2主变","nodeType":1112,"nodeID":10112,"leaf":true,"devicedID":10112,"children":[]}
{"text":"板桥站#1主变","nodeType":1121,"nodeID":10121,"leaf":true,"devicedID":1021,"children":[]}
{"text":"板桥站#1主变","nodeType":1211,"nodeID":10211,"leaf":true,"devicedID":10211,"children":[]}
显然，取出了全部的叶子结点
【6】结果源码
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Collections;
using System.IO;
using System.Data;
using System.Diagnostics;
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;
namespace ceshi1
{
class Program
{
//public ArrayList al = new ArrayList();
//public void GetAllDirList(string strBaseDir)
//{
// DirectoryInfo di = new DirectoryInfo(strBaseDir);
// DirectoryInfo[] dirA = di.GetDirectories();
// for (int i = 0; i < dirA.Length; i++)
// {
// al.Add(dirA[i].FullName);
// Console.WriteLine(dirA[i]);
// Console.WriteLine(dirA[i].FullName);
// GetAllDirList(dirA[i].FullName);
// }
//}
static void Main(string[] args)
{
//定义一个数据结构
Data data = new Data();
data.nodeType = 1;
data.nodeID = 10;
data.leaf = false;
data.devicedID = 10;
data.text = "直流监测";
data.children = new List<Data>()
{
new Data()
{
nodeType = 11,
nodeID = 101,
leaf = false,
devicedID = 101,
text = "广州局",
children = new List<Data>()
{
new Data()
{
nodeType = 111,
nodeID = 1011,
leaf = false,
devicedID = 1011,
text = "从化站",
children = new List<Data>()
{
new Data()
{
nodeType = 1111,
nodeID = 10111,
leaf = true,
devicedID = 10111,
text = "从化站#1主变",
children = new List<Data>() {}
},
new Data()
{
nodeType = 1112,
nodeID = 10112,
leaf = true,
devicedID = 10112,
text = "从化站#2主变",
children = new List<Data>() {}
}
}
},
new Data()
{
nodeType = 112,
nodeID = 1012,
leaf = false,
devicedID = 1012,
text = "板桥站",
children = new List<Data>()
{
new Data()
{
nodeType = 1121,
nodeID = 10121,
leaf = true,
devicedID = 1021,
text = "板桥站#1主变",
children = new List<Data>() {}
}
}
}
}
},
new Data()
{
nodeType = 12,
nodeID = 102,
leaf = false,
devicedID = 102,
text = "深圳局",
children = new List<Data>()
{
new Data()
{
nodeType = 121,
nodeID = 1021,
leaf = false,
devicedID = 1021,
text = "福田站",
children = new List<Data>()
{
new Data()
{
nodeType = 1211,
nodeID = 10211,
leaf = true,
devicedID = 10211,
text = "板桥站#1主变",
children = new List<Data>() {}
}
}
}
}
},
new Data()
{
nodeType = 13,
nodeID = 103,
leaf = false,
devicedID = 103,
text = "珠海局",
children = new List<Data>()
{
new Data() {}
}
}
};
//序列化为json字符串
string json = JsonConvert.SerializeObject(data);
//Console.WriteLine(json);
//反序列化为对象
Data jsonData = JsonConvert.DeserializeObject<Data>(json);
//Console.WriteLine(data);
//json格式化
JObject jo = (JObject)JsonConvert.DeserializeObject(json);
//Console.WriteLine(jo);
//问题：
//取出最底层的leaf = true或者Children为空的情况的节点所有的nodeType/nodeID/devicedID/text值？
//需要迭代遍历？
var resultData = new List<Data>();
FindAll(data, ref resultData);
//Console.WriteLine(resultData);
for (int i = 0; i < resultData.Count;i++ )
{
Console.WriteLine(JsonConvert.SerializeObject(resultData[i]));
}
Console.ReadKey();
}
public static void FindAll(Data inputData, ref List<Data> data)
{
if (inputData.leaf)
{
data.Add(inputData);
}
else
{
if (inputData.children == null) return;
foreach (var item in inputData.children)
{
if (item.leaf)
{
data.Add(item);
}
else
{
FindAll(item,ref data);
}
}
}
}
}
}
【6】监测过程源码
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Collections;
using System.IO;
using System.Data;
using System.Diagnostics;
using Newtonsoft.Json;
using Newtonsoft.Json.Linq;
namespace ceshi1
{
class Program
{
//public ArrayList al = new ArrayList();
//public void GetAllDirList(string strBaseDir)
//{
// DirectoryInfo di = new DirectoryInfo(strBaseDir);
// DirectoryInfo[] dirA = di.GetDirectories();
// for (int i = 0; i < dirA.Length; i++)
// {
// al.Add(dirA[i].FullName);
// Console.WriteLine(dirA[i]);
// Console.WriteLine(dirA[i].FullName);
// GetAllDirList(dirA[i].FullName);
// }
//}
static void Main(string[] args)
{
//定义一个数据结构
Data data = new Data();
data.nodeType = 1;
data.nodeID = 10;
data.leaf = false;
data.devicedID = 10;
data.text = "直流监测";
data.children = new List<Data>(){
new Data(){
nodeType = 11,
nodeID = 101,
leaf = false,
devicedID = 101,
text = "广州局",
children = new List<Data>(){
new Data(){
nodeType = 111,
nodeID = 1011,
leaf = false,
devicedID = 1011,
text = "从化站",
children = new List<Data>(){
new Data(){
nodeType = 1111,
nodeID = 10111,
leaf = true,
devicedID = 10111,
text = "从化站#1主变",
children = new List<Data>(){}
},
new Data(){
nodeType = 1112,
nodeID = 10112,
leaf = true,
devicedID = 10112,
text = "从化站#2主变",
children = new List<Data>(){}
}
}
},
new Data(){
nodeType = 112,
nodeID = 1012,
leaf = false,
devicedID = 1012,
text = "板桥站",
children = new List<Data>(){
new Data(){
nodeType = 1121,
nodeID = 10121,
leaf = true,
devicedID = 1021,
text = "板桥站#1主变",
children = new List<Data>(){}
}
}
}
}
},
new Data(){
nodeType = 12,
nodeID = 102,
leaf = false,
devicedID = 102,
text = "深圳局",
children = new List<Data>(){
new Data(){
nodeType = 121,
nodeID = 1021,
leaf = false,
devicedID = 1021,
text = "福田站",
children = new List<Data>(){
new Data(){
nodeType = 1211,
nodeID = 10211,
leaf = true,
devicedID = 10211,
text = "板桥站#1主变",
children = new List<Data>(){}
}
}
}
}
},
new Data(){
nodeType = 13,
nodeID = 103,
leaf = false,
devicedID = 103,
text = "珠海局",
children = new List<Data>(){
new Data(){}
}
}
};
//序列化为json字符串
string json = JsonConvert.SerializeObject(data);
// Console.WriteLine(json);
//反序列化为对象
Data jsonData = JsonConvert.DeserializeObject<Data>(json);
//取出最底层的leaf = true或者Children为空的情况的节点所有的nodeType/nodeID/devicedID/text值？
FindAll(jsonData);
Console.ReadKey();
}
public static void FindAll(Data inputData)
{
if (inputData.leaf)
{
Console.WriteLine("leaf:{0}, nodeType：{1}, nodeID:{2}, devicedID：{3}, text: {4}, children is null:{5}"
, inputData.leaf
, inputData.nodeType
, inputData.nodeID
, inputData.devicedID
, inputData.text
, inputData.children == null);
}
else
{
if (inputData.children == null) return;
foreach (var item in inputData.children)
{
if (item.leaf)
{
Console.WriteLine(
"leaf:{0}, nodeType：{1}, nodeID:{2}, devicedID：{3}, text: {4}, children is null:{5}"
, item.leaf
, item.nodeType
, item.nodeID
, item.devicedID
, item.text
, item.children == null);
//我想把取出来结果以对象的方式放到数组或者一个List集合里面去，然后再返回这个集合或者数组（最好用数组），谢谢
//数组类似于：[{leaf:True, nodeType：1111, nodeID:10111, devicedID：10111,
text: 从化站#1主变, children is null:False}，{leaf:True, nodeType：1112,
nodeID:10112, devicedID：10112, text: 从化站#2主变, children is null:False}]
}
else
{
FindAll(item);
}
}
}
}
}
}
本文源于zhuxiaoge(http://www.cnblogs.com/zhuxiaoge/p/7090544.html),如有转载请标明出处，不甚感激！！！
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估计很多人都是用惯了Visual Studio的主,怎么也不适应Linux的一套编辑器,比如vim.source insight这些东西,可视化的eclipse效果还好点,但一般以远程共享一台Linu ...
- Data Structure Graph: strong connectivity
如果为undirected graph就是dfs或者bfs,如果都能visit则为连通O(V+E). 如果为directed graph就先dfs或者bfs,再reverse direct,再dfs或 ...