json_decode 索引为数字时自动排序问题解决方法

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这篇文章主要介绍了使用son_encode 给前端返回数据,结果顺序不对,经debug调试,发现是json_encode 函数的问题,变成 " " + 数字即可,需要的朋友可以参考下

json_encode 索引为数字,自动排序问题

使用son_encode 给前端返回数据,结果顺序不对,经debug调试,发现是json_encode 函数的问题;

{
 "code": 0,
 "msg": "请求成功!",
 "data": {
  "2018-10": {
   "17": [
    {
     "id": 730,
     "uid": "118209",
     "is_read": false,
     "biggest_high": 0,
     "first_read_at": "",
     "stock_name": "长春燃气",
     "stock_code": "600333",
     "in_timed_at": 1539756681,
     "price": "6.4"
    }
   ],
   "18": [
    {
     "id": 735,
     "uid": "118209",
     "is_read": false,
     "biggest_high": 0,
     "first_read_at": "",
     "stock_name": "天孚通信",
     "stock_code": "300394",
     "in_timed_at": 1539828137,
     "price": "17.7"
    }
   ],
   "19": [
    {
     "id": 748,
     "uid": "118209",
     "is_read": false,
     "biggest_high": 0,
     "first_read_at": "",
     "stock_name": "科大讯飞",
     "stock_code": "002230",
     "in_timed_at": 1539941525,
     "price": "31.87"
    }
   ],
   "09": [
    {
     "id": 706,
     "uid": "118209",
     "is_read": false,
     "biggest_high": 0,
     "first_read_at": "",
     "stock_name": "温州宏丰",
     "stock_code": "300283",
     "in_timed_at": 1539048922,
     "price": "4.83"
    }
   ]
  },
  "2018-09": {
   "29": [
    {
     "id": 702,
     "uid": "118209",
     "is_read": false,
     "biggest_high": 0,
     "first_read_at": "",
     "stock_name": "新美星",
     "stock_code": "300509",
     "in_timed_at": 1538212392,
     "price": "13.36"
    }
   ]
  }
 }
}

解决办法在数字索引前加个空格。如“ 19” “ 18”完美解决问题。

解决方法变成 " " + 数字即可,例如" 18", " 19"

{
 "code": 0,
 "msg": "请求成功!",
 "data": {
  "2018-10": {
   " 19": [
    {
     "id": 748,
     "uid": "118209",
     "is_read": false,
     "biggest_high": 0,
     "first_read_at": "",
     "stock_name": "科大讯飞",
     "stock_code": "002230",
     "in_timed_at": 1539941525,
     "price": "31.87"
    }
   ],
   " 18": [
    {
     "id": 735,
     "uid": "118209",
     "is_read": false,
     "biggest_high": 0,
     "first_read_at": "",
     "stock_name": "天孚通信",
     "stock_code": "300394",
     "in_timed_at": 1539828137,
     "price": "17.7"
    }
   ],
   " 17": [
    {
     "id": 730,
     "uid": "118209",
     "is_read": false,
     "biggest_high": 0,
     "first_read_at": "",
     "stock_name": "长春燃气",
     "stock_code": "600333",
     "in_timed_at": 1539756681,
     "price": "6.4"
    }
   ],
   " 09": [
    {
     "id": 706,
     "uid": "118209",
     "is_read": false,
     "biggest_high": 0,
     "first_read_at": "",
     "stock_name": "温州宏丰",
     "stock_code": "300283",
     "in_timed_at": 1539048922,
     "price": "4.83"
    }
   ]
  },
  "2018-09": {
   " 29": [
    {
     "id": 702,
     "uid": "118209",
     "is_read": false,
     "biggest_high": 0,
     "first_read_at": "",
     "stock_name": "新美星",
     "stock_code": "300509",
     "in_timed_at": 1538212392,
     "price": "13.36"
    }
   ]
  }
 }
}

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