我们在使用litjson时它的编码方式是unicode的,所以我将json转成string输出时显示的是unicode的编码。这样我们显示或者保存中文时不是很方便。我们可以将中文的unicode转成能识别的GBK编码。

 using UnityEngine;
using System.Collections.Generic;
using Utils;
using LitJson;
using System;
using System.Text.RegularExpressions; public class Script1 : MonoBehaviour
{
public void OnTestJson()
{
JsonData sData = new JsonData();
JsonData data1 = new JsonData();
JsonData data2 = new JsonData(); data1["等级"] = "";
data1["位置"] = "m=1000,x=33,y=21"; //新手村 data2["等级"] = "";
data2["位置"] = "m=1001,x=58,y=97"; //桃园镇 sData["张三"] = data1;
sData["李四"] = data2; string jsonStr = sData.ToJson(); Regex reg = new Regex(@"(?i)\\[uU]([0-9a-f]{4})");
var ss = reg.Replace(jsonStr, delegate(Match m) { return ((char)Convert.ToInt32(m.Groups[].Value, )).ToString(); }); print(ss);
}
}

显示如下

aaarticlea/png;base64,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" alt="" />

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