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數據合並處理concat

pan cti 1.2 海口 桂林 杭州 6.4 拉薩 con

var data = [
     {name: ‘海門‘, value: 9},
     {name: ‘鄂爾多斯‘, value: 12},
     {name: ‘招遠‘, value: 12},
     {name: ‘舟山‘, value: 12},
     {name: ‘齊齊哈爾‘, value: 14},
     {name: ‘鹽城‘, value: 15},
     {name: ‘赤峰‘, value: 16},
     {name: ‘青島‘, value: 18},
     {name: ‘乳山‘, value: 18},
     {name: 
‘金昌‘, value: 19}, {name: ‘泉州‘, value: 21}, {name: ‘萊西‘, value: 21}, {name: ‘日照‘, value: 21}, {name: ‘膠南‘, value: 22}, {name: ‘南通‘, value: 23}, {name: ‘拉薩‘, value: 24}, {name: ‘雲浮‘, value: 24}, {name: ‘梅州‘, value: 25}, {name: ‘文登‘, value: 25}, {name:
‘上海‘, value: 25}, {name: ‘攀枝花‘, value: 25}, {name: ‘威海‘, value: 25}, {name: ‘承德‘, value: 25}, {name: ‘廈門‘, value: 26}, {name: ‘汕尾‘, value: 26}, {name: ‘潮州‘, value: 26}, {name: ‘丹東‘, value: 27}, {name: ‘太倉‘, value: 27}, {name: ‘曲靖‘, value: 27}, {name:
‘煙臺‘, value: 28}, {name: ‘福州‘, value: 29}, {name: ‘瓦房店‘, value: 30}, {name: ‘即墨‘, value: 30}, {name: ‘撫順‘, value: 31}, {name: ‘玉溪‘, value: 31}, {name: ‘張家口‘, value: 31}, {name: ‘陽泉‘, value: 31}, {name: ‘萊州‘, value: 32}, {name: ‘湖州‘, value: 32}, {name: ‘汕頭‘, value: 32}, {name: ‘昆山‘, value: 33}, {name: ‘寧波‘, value: 33}, {name: ‘湛江‘, value: 33}, {name: ‘揭陽‘, value: 34}, {name: ‘榮成‘, value: 34}, {name: ‘連雲港‘, value: 35}, {name: ‘葫蘆島‘, value: 35}, {name: ‘常熟‘, value: 36}, {name: ‘東莞‘, value: 36}, {name: ‘河源‘, value: 36}, {name: ‘淮安‘, value: 36}, {name: ‘泰州‘, value: 36}, {name: ‘南寧‘, value: 37}, {name: ‘營口‘, value: 37}, {name: ‘惠州‘, value: 37}, {name: ‘江陰‘, value: 37}, {name: ‘蓬萊‘, value: 37}, {name: ‘韶關‘, value: 38}, {name: ‘嘉峪關‘, value: 38}, {name: ‘廣州‘, value: 38}, {name: ‘延安‘, value: 38}, {name: ‘太原‘, value: 39}, {name: ‘清遠‘, value: 39}, {name: ‘中山‘, value: 39}, {name: ‘昆明‘, value: 39}, {name: ‘壽光‘, value: 40}, {name: ‘盤錦‘, value: 40}, {name: ‘長治‘, value: 41}, {name: ‘深圳‘, value: 41}, {name: ‘珠海‘, value: 42}, {name: ‘宿遷‘, value: 43}, {name: ‘鹹陽‘, value: 43}, {name: ‘銅川‘, value: 44}, {name: ‘平度‘, value: 44}, {name: ‘佛山‘, value: 44}, {name: ‘海口‘, value: 44}, {name: ‘江門‘, value: 45}, {name: ‘章丘‘, value: 45}, {name: ‘肇慶‘, value: 46}, {name: ‘大連‘, value: 47}, {name: ‘臨汾‘, value: 47}, {name: ‘吳江‘, value: 47}, {name: ‘石嘴山‘, value: 49}, {name: ‘沈陽‘, value: 50}, {name: ‘蘇州‘, value: 50}, {name: ‘茂名‘, value: 50}, {name: ‘嘉興‘, value: 51}, {name: ‘長春‘, value: 51}, {name: ‘膠州‘, value: 52}, {name: ‘銀川‘, value: 52}, {name: ‘張家港‘, value: 52}, {name: ‘三門峽‘, value: 53}, {name: ‘錦州‘, value: 54}, {name: ‘南昌‘, value: 54}, {name: ‘柳州‘, value: 54}, {name: ‘三亞‘, value: 54}, {name: ‘自貢‘, value: 56}, {name: ‘吉林‘, value: 56}, {name: ‘陽江‘, value: 57}, {name: ‘瀘州‘, value: 57}, {name: ‘西寧‘, value: 57}, {name: ‘宜賓‘, value: 58}, {name: ‘呼和浩特‘, value: 58}, {name: ‘成都‘, value: 58}, {name: ‘大同‘, value: 58}, {name: ‘鎮江‘, value: 59}, {name: ‘桂林‘, value: 59}, {name: ‘張家界‘, value: 59}, {name: ‘宜興‘, value: 59}, {name: ‘北海‘, value: 60}, {name: ‘西安‘, value: 61}, {name: ‘金壇‘, value: 62}, {name: ‘東營‘, value: 62}, {name: ‘牡丹江‘, value: 63}, {name: ‘遵義‘, value: 63}, {name: ‘紹興‘, value: 63}, {name: ‘揚州‘, value: 64}, {name: ‘常州‘, value: 64}, {name: ‘濰坊‘, value: 65}, {name: ‘重慶‘, value: 66}, {name: ‘臺州‘, value: 67}, {name: ‘南京‘, value: 67}, {name: ‘濱州‘, value: 70}, {name: ‘貴陽‘, value: 71}, {name: ‘無錫‘, value: 71}, {name: ‘本溪‘, value: 71}, {name: ‘克拉瑪依‘, value: 72}, {name: ‘渭南‘, value: 72}, {name: ‘馬鞍山‘, value: 72}, {name: ‘寶雞‘, value: 72}, {name: ‘焦作‘, value: 75}, {name: ‘句容‘, value: 75}, {name: ‘北京‘, value: 79}, {name: ‘徐州‘, value: 79}, {name: ‘衡水‘, value: 80}, {name: ‘包頭‘, value: 80}, {name: ‘綿陽‘, value: 80}, {name: ‘烏魯木齊‘, value: 84}, {name: ‘棗莊‘, value: 84}, {name: ‘杭州‘, value: 84}, {name: ‘淄博‘, value: 85}, {name: ‘鞍山‘, value: 86}, {name: ‘溧陽‘, value: 86}, {name: ‘庫爾勒‘, value: 86}, {name: ‘安陽‘, value: 90}, {name: ‘開封‘, value: 90}, {name: ‘濟南‘, value: 92}, {name: ‘德陽‘, value: 93}, {name: ‘溫州‘, value: 95}, {name: ‘九江‘, value: 96}, {name: ‘邯鄲‘, value: 98}, {name: ‘臨安‘, value: 99}, {name: ‘蘭州‘, value: 99}, {name: ‘滄州‘, value: 100}, {name: ‘臨沂‘, value: 103}, {name: ‘南充‘, value: 104}, {name: ‘天津‘, value: 105}, {name: ‘富陽‘, value: 106}, {name: ‘泰安‘, value: 112}, {name: ‘諸暨‘, value: 112}, {name: ‘鄭州‘, value: 113}, {name: ‘哈爾濱‘, value: 114}, {name: ‘聊城‘, value: 116}, {name: ‘蕪湖‘, value: 117}, {name: ‘唐山‘, value: 119}, {name: ‘平頂山‘, value: 119}, {name: ‘邢臺‘, value: 119}, {name: ‘德州‘, value: 120}, {name: ‘濟寧‘, value: 120}, {name: ‘荊州‘, value: 127}, {name: ‘宜昌‘, value: 130}, {name: ‘義烏‘, value: 132}, {name: ‘麗水‘, value: 133}, {name: ‘洛陽‘, value: 134}, {name: ‘秦皇島‘, value: 136}, {name: ‘株洲‘, value: 143}, {name: ‘石家莊‘, value: 147}, {name: ‘萊蕪‘, value: 148}, {name: ‘常德‘, value: 152}, {name: ‘保定‘, value: 153}, {name: ‘湘潭‘, value: 154}, {name: ‘金華‘, value: 157}, {name: ‘嶽陽‘, value: 169}, {name: ‘長沙‘, value: 175}, {name: ‘衢州‘, value: 177}, {name: ‘廊坊‘, value: 193}, {name: ‘菏澤‘, value: 194}, {name: ‘合肥‘, value: 229}, {name: ‘武漢‘, value: 273}, {name: ‘大慶‘, value: 279} ]; var geoCoordMap = { ‘海門‘:[121.15,31.89], ‘鄂爾多斯‘:[109.781327,39.608266], ‘招遠‘:[120.38,37.35], ‘舟山‘:[122.207216,29.985295], ‘齊齊哈爾‘:[123.97,47.33], ‘鹽城‘:[120.13,33.38], ‘赤峰‘:[118.87,42.28], ‘青島‘:[120.33,36.07], ‘乳山‘:[121.52,36.89], ‘金昌‘:[102.188043,38.520089], ‘泉州‘:[118.58,24.93], ‘萊西‘:[120.53,36.86], ‘日照‘:[119.46,35.42], ‘膠南‘:[119.97,35.88], ‘南通‘:[121.05,32.08], ‘拉薩‘:[91.11,29.97], ‘雲浮‘:[112.02,22.93], ‘梅州‘:[116.1,24.55], ‘文登‘:[122.05,37.2], ‘上海‘:[121.48,31.22], ‘攀枝花‘:[101.718637,26.582347], ‘威海‘:[122.1,37.5], ‘承德‘:[117.93,40.97], ‘廈門‘:[118.1,24.46], ‘汕尾‘:[115.375279,22.786211], ‘潮州‘:[116.63,23.68], ‘丹東‘:[124.37,40.13], ‘太倉‘:[121.1,31.45], ‘曲靖‘:[103.79,25.51], ‘煙臺‘:[121.39,37.52], ‘福州‘:[119.3,26.08], ‘瓦房店‘:[121.979603,39.627114], ‘即墨‘:[120.45,36.38], ‘撫順‘:[123.97,41.97], ‘玉溪‘:[102.52,24.35], ‘張家口‘:[114.87,40.82], ‘陽泉‘:[113.57,37.85], ‘萊州‘:[119.942327,37.177017], ‘湖州‘:[120.1,30.86], ‘汕頭‘:[116.69,23.39], ‘昆山‘:[120.95,31.39], ‘寧波‘:[121.56,29.86], ‘湛江‘:[110.359377,21.270708], ‘揭陽‘:[116.35,23.55], ‘榮成‘:[122.41,37.16], ‘連雲港‘:[119.16,34.59], ‘葫蘆島‘:[120.836932,40.711052], ‘常熟‘:[120.74,31.64], ‘東莞‘:[113.75,23.04], ‘河源‘:[114.68,23.73], ‘淮安‘:[119.15,33.5], ‘泰州‘:[119.9,32.49], ‘南寧‘:[108.33,22.84], ‘營口‘:[122.18,40.65], ‘惠州‘:[114.4,23.09], ‘江陰‘:[120.26,31.91], ‘蓬萊‘:[120.75,37.8], ‘韶關‘:[113.62,24.84], ‘嘉峪關‘:[98.289152,39.77313], ‘廣州‘:[113.23,23.16], ‘延安‘:[109.47,36.6], ‘太原‘:[112.53,37.87], ‘清遠‘:[113.01,23.7], ‘中山‘:[113.38,22.52], ‘昆明‘:[102.73,25.04], ‘壽光‘:[118.73,36.86], ‘盤錦‘:[122.070714,41.119997], ‘長治‘:[113.08,36.18], ‘深圳‘:[114.07,22.62], ‘珠海‘:[113.52,22.3], ‘宿遷‘:[118.3,33.96], ‘鹹陽‘:[108.72,34.36], ‘銅川‘:[109.11,35.09], ‘平度‘:[119.97,36.77], ‘佛山‘:[113.11,23.05], ‘海口‘:[110.35,20.02], ‘江門‘:[113.06,22.61], ‘章丘‘:[117.53,36.72], ‘肇慶‘:[112.44,23.05], ‘大連‘:[121.62,38.92], ‘臨汾‘:[111.5,36.08], ‘吳江‘:[120.63,31.16], ‘石嘴山‘:[106.39,39.04], ‘沈陽‘:[123.38,41.8], ‘蘇州‘:[120.62,31.32], ‘茂名‘:[110.88,21.68], ‘嘉興‘:[120.76,30.77], ‘長春‘:[125.35,43.88], ‘膠州‘:[120.03336,36.264622], ‘銀川‘:[106.27,38.47], ‘張家港‘:[120.555821,31.875428], ‘三門峽‘:[111.19,34.76], ‘錦州‘:[121.15,41.13], ‘南昌‘:[115.89,28.68], ‘柳州‘:[109.4,24.33], ‘三亞‘:[109.511909,18.252847], ‘自貢‘:[104.778442,29.33903], ‘吉林‘:[126.57,43.87], ‘陽江‘:[111.95,21.85], ‘瀘州‘:[105.39,28.91], ‘西寧‘:[101.74,36.56], ‘宜賓‘:[104.56,29.77], ‘呼和浩特‘:[111.65,40.82], ‘成都‘:[104.06,30.67], ‘大同‘:[113.3,40.12], ‘鎮江‘:[119.44,32.2], ‘桂林‘:[110.28,25.29], ‘張家界‘:[110.479191,29.117096], ‘宜興‘:[119.82,31.36], ‘北海‘:[109.12,21.49], ‘西安‘:[108.95,34.27], ‘金壇‘:[119.56,31.74], ‘東營‘:[118.49,37.46], ‘牡丹江‘:[129.58,44.6], ‘遵義‘:[106.9,27.7], ‘紹興‘:[120.58,30.01], ‘揚州‘:[119.42,32.39], ‘常州‘:[119.95,31.79], ‘濰坊‘:[119.1,36.62], ‘重慶‘:[106.54,29.59], ‘臺州‘:[121.420757,28.656386], ‘南京‘:[118.78,32.04], ‘濱州‘:[118.03,37.36], ‘貴陽‘:[106.71,26.57], ‘無錫‘:[120.29,31.59], ‘本溪‘:[123.73,41.3], ‘克拉瑪依‘:[84.77,45.59], ‘渭南‘:[109.5,34.52], ‘馬鞍山‘:[118.48,31.56], ‘寶雞‘:[107.15,34.38], ‘焦作‘:[113.21,35.24], ‘句容‘:[119.16,31.95], ‘北京‘:[116.46,39.92], ‘徐州‘:[117.2,34.26], ‘衡水‘:[115.72,37.72], ‘包頭‘:[110,40.58], ‘綿陽‘:[104.73,31.48], ‘烏魯木齊‘:[87.68,43.77], ‘棗莊‘:[117.57,34.86], ‘杭州‘:[120.19,30.26], ‘淄博‘:[118.05,36.78], ‘鞍山‘:[122.85,41.12], ‘溧陽‘:[119.48,31.43], ‘庫爾勒‘:[86.06,41.68], ‘安陽‘:[114.35,36.1], ‘開封‘:[114.35,34.79], ‘濟南‘:[117,36.65], ‘德陽‘:[104.37,31.13], ‘溫州‘:[120.65,28.01], ‘九江‘:[115.97,29.71], ‘邯鄲‘:[114.47,36.6], ‘臨安‘:[119.72,30.23], ‘蘭州‘:[103.73,36.03], ‘滄州‘:[116.83,38.33], ‘臨沂‘:[118.35,35.05], ‘南充‘:[106.110698,30.837793], ‘天津‘:[117.2,39.13], ‘富陽‘:[119.95,30.07], ‘泰安‘:[117.13,36.18], ‘諸暨‘:[120.23,29.71], ‘鄭州‘:[113.65,34.76], ‘哈爾濱‘:[126.63,45.75], ‘聊城‘:[115.97,36.45], ‘蕪湖‘:[118.38,31.33], ‘唐山‘:[118.02,39.63], ‘平頂山‘:[113.29,33.75], ‘邢臺‘:[114.48,37.05], ‘德州‘:[116.29,37.45], ‘濟寧‘:[116.59,35.38], ‘荊州‘:[112.239741,30.335165], ‘宜昌‘:[111.3,30.7], ‘義烏‘:[120.06,29.32], ‘麗水‘:[119.92,28.45], ‘洛陽‘:[112.44,34.7], ‘秦皇島‘:[119.57,39.95], ‘株洲‘:[113.16,27.83], ‘石家莊‘:[114.48,38.03], ‘萊蕪‘:[117.67,36.19], ‘常德‘:[111.69,29.05], ‘保定‘:[115.48,38.85], ‘湘潭‘:[112.91,27.87], ‘金華‘:[119.64,29.12], ‘嶽陽‘:[113.09,29.37], ‘長沙‘:[113,28.21], ‘衢州‘:[118.88,28.97], ‘廊坊‘:[116.7,39.53], ‘菏澤‘:[115.480656,35.23375], ‘合肥‘:[117.27,31.86], ‘武漢‘:[114.31,30.52], ‘大慶‘:[125.03,46.58] }; var convertData = function (data) { var res = []; for (var i = 0; i < data.length; i++) { var geoCoord = geoCoordMap[data[i].name]; if (geoCoord) { res.push({ name: data[i].name, value: geoCoord.concat(data[i].value) }); } } return res; }; console.log(convertData(data))

打印:

(190) [{…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, {…}, …]

  1. [0 … 99]
    1. 0:
      1. name:"海門"
      2. value:Array(3)
        1. 0:121.15
        2. 1:31.89
        3. 2:9
        4. length:3
        5. __proto__:Array(0)
      3. __proto__:Object
    2. 1:
      1. name:"鄂爾多斯"
      2. value:Array(3)
        1. 0:109.781327
        2. 1:39.608266
        3. 2:12
        4. length:3
        5. __proto__:Array(0)
      3. __proto__:Object
    3. 2:
      1. name:"招遠"
      2. value:Array(3)
        1. 0:120.38
        2. 1:37.35
        3. 2:12
        4. length:3
        5. __proto__:Array(0)
      3. __proto__:Object
    4. 3:{name: "舟山", value: Array(3)}
    5. 4:{name: "齊齊哈爾", value: Array(3)}
    6. 5:{name: "鹽城", value: Array(3)}
    7. 6:{name: "赤峰", value: Array(3)}
    8. 7:{name: "青島", value: Array(3)}
    9. 8:{name: "乳山", value: Array(3)}
    10. 9:{name: "金昌", value: Array(3)}
    11. 10:{name: "泉州", value: Array(3)}
    12. 11:{name: "萊西", value: Array(3)}
    13. 12:{name: "日照", value: Array(3)}
    14. 13:{name: "膠南", value: Array(3)}
    15. 14:{name: "南通", value: Array(3)}
    16. 15:{name: "拉薩", value: Array(3)}
    17. 16:{name: "雲浮", value: Array(3)}
    18. 17:{name: "梅州", value: Array(3)}
    19. 18:{name: "文登", value: Array(3)}
    20. 19:{name: "上海", value: Array(3)}

數據合並處理concat