我正在尝试合并我在天气数据上的几个JSON文件，并试图找出最佳方法。我发现其他几个帖子只是连接JSON对象，或者第二个帖子在同一个键的情况下覆盖第一个，但没有任何东西按键合并它们。
以下是我正在使用的示例以及我想要的输出。对此有任何建议都很棒！
示例JSON0.json
{
"1948": [
{
"Seattle": {
"city": "Seattle",
"data": {
"avg_dew_point": "34",
"avg_gust_wind": "",
"avg_max_temp": "45",
"avg_min_temp": "35",
"avg_precipitation": "0.00",
"avg_sea_level_pressure": "30.22",
"avg_temp": "40",
"avg_wind": "8"
},
"month": "1",
"state": "WA"
}
},
{
"Chicago": {
"city": "Chicago",
"data": {
"avg_dew_point": "10",
"avg_gust_wind": "",
"avg_max_temp": "25",
"avg_min_temp": "11",
"avg_precipitation": "0.00",
"avg_sea_level_pressure": "30.17",
"avg_temp": "18",
"avg_wind": "12"
},
"month": "1",
"state": "IL"
}
}
],
"1949": [
{
"Houston": {
"city": "Houston",
"data": {
"avg_dew_point": "45",
"avg_gust_wind": "",
"avg_max_temp": "61",
"avg_min_temp": "44",
"avg_precipitation": "0.00",
"avg_sea_level_pressure": "30.15",
"avg_temp": "53",
"avg_wind": "12"
},
"month": "1",
"state": "TX"
}
},
{
"Seattle": {
"city": "Seattle",
"data": {
"avg_dew_point": "25",
"avg_gust_wind": "",
"avg_max_temp": "38",
"avg_min_temp": "25",
"avg_precipitation": "0.00",
"avg_sea_level_pressure": "30.32",
"avg_temp": "31",
"avg_wind": "7"
},
"month": "1",
"state": "WA"
}
}
]
}
示例JSON1.json
{
"1948": [
{
"Jacksonville": {
"city": "Jacksonville",
"data": {
"avg_dew_point": "45",
"avg_gust_wind": "",
"avg_max_temp": "61",
"avg_min_temp": "44",
"avg_precipitation": "0.00",
"avg_sea_level_pressure": "30.13",
"avg_temp": "53",
"avg_wind": "8"
},
"month": "1",
"state": "FL"
}
},
{
"Indianapolis": {
"city": "Indianapolis",
"data": {
"avg_dew_point": "13",
"avg_gust_wind": "",
"avg_max_temp": "34",
"avg_min_temp": "13",
"avg_precipitation": "0.00",
"avg_sea_level_pressure": "30.17",
"avg_temp": "24",
"avg_wind": "12"
},
"month": "1",
"state": "IN"
}
}
],
"1949": [
{
"San Jose": {
"city": "San Jose",
"data": {
"avg_dew_point": "",
"avg_gust_wind": "",
"avg_max_temp": "52",
"avg_min_temp": "33",
"avg_precipitation": "0.02",
"avg_sea_level_pressure": "",
"avg_temp": "43",
"avg_wind": ""
},
"month": "1",
"state": "CA"
}
},
{
"Jacksonville": {
"city": "Jacksonville",
"data": {
"avg_dew_point": "55",
"avg_gust_wind": "",
"avg_max_temp": "73",
"avg_min_temp": "54",
"avg_precipitation": "0.00",
"avg_sea_level_pressure": "30.21",
"avg_temp": "63",
"avg_wind": "5"
},
"month": "1",
"state": "FL"
}
}
]
}
示例combinedJSON.json
{
"1948": [
{
"Seattle": {
"city": "Seattle",
"data": {
"avg_dew_point": "34",
"avg_gust_wind": "",
"avg_max_temp": "45",
"avg_min_temp": "35",
"avg_precipitation": "0.00",
"avg_sea_level_pressure": "30.22",
"avg_temp": "40",
"avg_wind": "8"
},
"month": "1",
"state": "WA"
}
},
{
"Chicago": {
"city": "Chicago",
"data": {
"avg_dew_point": "10",
"avg_gust_wind": "",
"avg_max_temp": "25",
"avg_min_temp": "11",
"avg_precipitation": "0.00",
"avg_sea_level_pressure": "30.17",
"avg_temp": "18",
"avg_wind": "12"
},
"month": "1",
"state": "IL"
}
},
{
"Jacksonville": {
"city": "Jacksonville",
"data": {
"avg_dew_point": "45",
"avg_gust_wind": "",
"avg_max_temp": "61",
"avg_min_temp": "44",
"avg_precipitation": "0.00",
"avg_sea_level_pressure": "30.13",
"avg_temp": "53",
"avg_wind": "8"
},
"month": "1",
"state": "FL"
}
},
{
"Indianapolis": {
"city": "Indianapolis",
"data": {
"avg_dew_point": "13",
"avg_gust_wind": "",
"avg_max_temp": "34",
"avg_min_temp": "13",
"avg_precipitation": "0.00",
"avg_sea_level_pressure": "30.17",
"avg_temp": "24",
"avg_wind": "12"
},
"month": "1",
"state": "IN"
}
}
],
"1949": [
{
"Houston": {
"city": "Houston",
"data": {
"avg_dew_point": "45",
"avg_gust_wind": "",
"avg_max_temp": "61",
"avg_min_temp": "44",
"avg_precipitation": "0.00",
"avg_sea_level_pressure": "30.15",
"avg_temp": "53",
"avg_wind": "12"
},
"month": "1",
"state": "TX"
}
},
{
"Seattle": {
"city": "Seattle",
"data": {
"avg_dew_point": "25",
"avg_gust_wind": "",
"avg_max_temp": "38",
"avg_min_temp": "25",
"avg_precipitation": "0.00",
"avg_sea_level_pressure": "30.32",
"avg_temp": "31",
"avg_wind": "7"
},
"month": "1",
"state": "WA"
}
},
{
"San Jose": {
"city": "San Jose",
"data": {
"avg_dew_point": "",
"avg_gust_wind": "",
"avg_max_temp": "52",
"avg_min_temp": "33",
"avg_precipitation": "0.02",
"avg_sea_level_pressure": "",
"avg_temp": "43",
"avg_wind": ""
},
"month": "1",
"state": "CA"
}
},
{
"Jacksonville": {
"city": "Jacksonville",
"data": {
"avg_dew_point": "55",
"avg_gust_wind": "",
"avg_max_temp": "73",
"avg_min_temp": "54",
"avg_precipitation": "0.00",
"avg_sea_level_pressure": "30.21",
"avg_temp": "63",
"avg_wind": "5"
},
"month": "1",
"state": "FL"
}
}
]
}
答案 0 :(得分：2)
试试这个：
function mergeJson(target) {
for (var argi = 1; argi < arguments.length; argi++) {
var source = arguments[argi];
for (var key in source) {
if (!(key in target)) {
target[key] = [];
}
for (var i = 0; i < source[key].length; i++) {
target[key].push(source[key][i]);
}
}
}
return target;
}
DEMO： http://jsfiddle.net/4nfWp/1/
你称之为：mergeJson({}, object1, object2, object3);（在第一个之后有任意数量的参数）
在演示中，实际调用位于Javascript的底部，因为我需要首先定义“JSON”，并且它们很长。
<强>更新
如果使用underscorejs，您可以使用以下内容：
var finalJson = {};
_.each(_.keys(json0,json1), function(key) {
finalJson[key] = _.flatten(_.zip(json0[key], json1[key]));
});
console.log(finalJson);
DEMO： http://jsfiddle.net/4nfWp/4/
归功于 @djKianoosh 以确定这一点：）