合併JSON數據通過重點

我想天氣數據合併幾個JSON文件，我已經和我試圖找出做到這一點的最好辦法。我發現其他幾個職位，正好連接的JSON對象或有第二個覆蓋第一個在同一個按鍵等，但沒有通過鍵將它們合併的情況。合併JSON數據通過重點

下面就是我工作的樣本，我想輸出。任何建議，這將是偉大的！

樣品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" 
      } 
     } 
    ] 
}

樣品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" 
      } 
     } 
    ] 
}

樣品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" 
      } 
     } 
    ] 
}

來源

2013-04-30 bsiddiqui

遍歷對象（http://stackoverflow.com/q/85992/218196）和合並的陣列（http://stackoverflow.com/q/1584370/218196）。 – 2013-04-30 14:47:44

有你看着小工具JS庫之一，如下劃線或Lodash：http://underscorejs.org/ http://lodash.com/docs他們有很多的採集處理功能 – djKianoosh 2013-04-30 14:50:51

你可能considor步入jQuery的延伸，獲取jQuery的未經版本化的版本，編寫代碼如$ .extend（true，{a：「a」}，{b：「b」}）;按F12並在那裏設置斷點，加載頁面並進入代碼。涉及到相當多的代碼，但它在深度複製對象方面做得很好，涉及不包含數組或函數的對象的函數是：extend，isPlainObject和type。 – HMR 2013-04-30 15:11:27

試試這個：

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/

而且你怎麼稱呼它，如：mergeJson({}, object1, object2, object3);（與任意數量的參數過去1號）

在演示中，實際調用是在JavaScript的底部，因爲我需要的首先定義「JSON」，並且它們很長。

UPDATE：

如果使用underscorejs，您可以使用類似：

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/

幸得@djKianoosh爲搞清楚了這一點：）

來源

2013-04-30 14:54:42 Ian

我調整了的jsfiddle使用下劃線的ZIP /個/扁平化的功能，看看它是否會工作使用這些：http://jsfiddle.net/4nfWp/3/ – djKianoosh 2013-04-30 15:14:32

@djKianoosh非常酷，感謝工作就可以了，並想出來的。我把它放在一起，並更新我的答案，包括小提琴，並給你信用:)我從來沒有與'underscorejs'工作，這樣的解決方案永遠不會跨過我的腦海。與此同時，你顯然也歡迎自己做出答案，因爲它有效 – Ian 2013-04-30 15:20:56

合併JSON數據通過重點

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