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react + echarts 绘制中国地图_react echarts中国地图

作者：从前慢现在也慢 | 2024-02-18 15:32:51

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react echarts中国地图

 首先要下载

npm install echarts
  1. import china from '@/utils/China.json';
  2. import * as echarts from 'echarts'; //全局引入 ，可按需引入
  3. import { useEffect, useRef } from 'react';
  4.  
  5. const Map = (props) => {
  6.   const chartRef = useRef();
  7.   const topNumber = props.data[0].value;
  8.   const bottomNumber = props.data[props.data.length - 1].value;
  9.  
  10.   const echartsMapClick = () => {
  11.     //点击地图模块逻辑事件
  12.   };
  13.  
  14.   const mapOption = (mapName, data) => {
  15.     const myChart = echarts.init(chartRef.current);
  16.  
  17.     echarts.registerMap(mapName, data);
  18.     const option = {
  19.       tooltip: {
  20.         backgroundColor: 'rgba(21, 24, 45, 0.9)', // 提示框浮层的背景颜色。
  21.         textStyle: {
  22.           // 提示框浮层的文本样式。
  23.           color: '#fff',
  24.           fontSize: 14,
  25.         },
  26.         extraCssText: 'border-color: rgba(21, 24, 45, 0.9);',
  27.         formatter: function (params) {
  28.           //数据格式化
  29.           const val = params.value ? params.value : 0;
  30.           if (params.value) {
  31.             return (
  32.               params.name + '<br />' + params.seriesName + '：' + val + '%'
  33.             );
  34.           } else {
  35.             return '暂无数据';
  36.           }
  37.         },
  38.       },
  39.       visualMap: {
  40.         min: 0,
  41.         max: topNumber,
  42.         left: 'left',
  43.         top: 'bottom',
  44.         text: [topNumber + '%', bottomNumber + '%'], //取值范围的文字
  45.         inRange: {
  46.           color: ['#D2DDFF', '#6E92FF'], //取值范围的颜色
  47.         },
  48.         show: true, //图注
  49.       },
  50.       geo: {
  51.         map: 'china',
  52.         roam: false, //不开启缩放和平移
  53.         zoom: 1.23, //视角缩放比例
  54.         label: {
  55.           normal: {
  56.             show: true,
  57.             fontSize: '10',
  58.             color: 'rgba(0,0,0,0.7)',
  59.           },
  60.         },
  61.         itemStyle: {
  62.           normal: {
  63.             borderColor: 'rgba(0, 0, 0, 0.2)',
  64.           },
  65.           emphasis: {
  66.             areaColor: '#4BD6C7', //鼠标选择区域颜色
  67.             shadowOffsetX: 0,
  68.             shadowOffsetY: 0,
  69.             shadowBlur: 20,
  70.             borderWidth: 0,
  71.             shadowColor: 'rgba(0, 0, 0, 0.5)',
  72.           },
  73.         },
  74.       },
  75.       series: [
  76.         {
  77.           name:'人口',
  78.           type: 'map',
  79.           geoIndex: 0,
  80.           data: props.data,
  81.         },
  82.       ],
  83.     };
  84.     myChart.setOption(option); //绘图
  85.     //点击画布内还是画布外
  86.     myChart.getZr().on('click', (params) => {
  87.       if (params.target) {
  88.         myChart.on('click', echartsMapClick); //增加点击事件
  89.       }
  90.     });
  91.   };
  92.   const loadingChina = () => {
  93.     mapOption('china', china); //初始化-创建中国地图
  94.   };
  95.  
  96.   useEffect(() => {
  97.     loadingChina();
  98.   }, [props.data]);
  99.  
  100.   return <div style={{ width: '100%', minHeight: '500px' }} ref={chartRef} />;
  101. };
  102. export default Map;

China.json

  1. {
  2.   "type": "FeatureCollection",
  3.   "features": [
  4.     {
  5.       "type": "Feature",
  6.       "id": "xin_jiang",
  7.       "properties": {
  8.         "name": "新疆",
  9.         "cp": [84.9023, 41.748],
  10.         "childNum": 18
  11.       },
  12.       "geometry": {
  13.         "type": "Polygon",
  14.         "coordinates": [
  15.           [
  16.             [96.416, 42.7588],
  17.             [96.416, 42.7148],
  18.             [95.9766, 42.4951],
  19.             [96.0645, 42.3193],
  20.             [96.2402, 42.2314],
  21.             [95.9766, 41.9238],
  22.             [95.2734, 41.6162],
  23.             [95.1855, 41.792],
  24.             [94.5703, 41.4844],
  25.             [94.043, 41.0889],
  26.             [93.8672, 40.6934],
  27.             [93.0762, 40.6494],
  28.             [92.6367, 39.6387],
  29.             [92.373, 39.3311],
  30.             [92.373, 39.1113],
  31.             [92.373, 39.0234],
  32.             [90.1758, 38.4961],
  33.             [90.3516, 38.2324],
  34.             [90.6152, 38.3203],
  35.             [90.5273, 37.8369],
  36.             [91.0547, 37.4414],
  37.             [91.3184, 37.0898],
  38.             [90.7031, 36.7822],
  39.             [90.791, 36.6064],
  40.             [91.0547, 36.5186],
  41.             [91.0547, 36.0791],
  42.             [90.8789, 36.0352],
  43.             [90, 36.2549],
  44.             [89.9121, 36.0791],
  45.             [89.7363, 36.0791],
  46.             [89.209, 36.2988],
  47.             [88.7695, 36.3428],
  48.             [88.5938, 36.4746],
  49.             [87.3633, 36.4307],
  50.             [86.2207, 36.167],
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  53.             [85.0781, 35.7275],
  54.             [84.1992, 35.376],
  55.             [83.1445, 35.4199],
  56.             [82.8809, 35.6836],
  57.             [82.4414, 35.7275],
  58.             [82.002, 35.332],
  59.             [81.6504, 35.2441],
  60.             [80.4199, 35.4199],
  61.             [80.2441, 35.2881],
  62.             [80.332, 35.1563],
  63.             [80.2441, 35.2002],
  64.             [79.8926, 34.8047],
  65.             [79.8047, 34.4971],
  66.             [79.1016, 34.4531],
  67.             [79.0137, 34.3213],
  68.             [78.2227, 34.7168],
  69.             [78.0469, 35.2441],
  70.             [78.0469, 35.5078],
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  77.             [75.8496, 36.6943],
  78.             [75.498, 36.7383],
  79.             [75.4102, 36.958],
  80.             [75.0586, 37.002],
  81.             [74.8828, 36.9141],
  82.             [74.7949, 37.0459],
  83.             [74.5313, 37.0898],
  84.             [74.5313, 37.2217],
  85.             [74.8828, 37.2217],
  86.             [75.1465, 37.4414],
  87.             [74.8828, 37.5732],
  88.             [74.9707, 37.749],
  89.             [74.8828, 38.4521],
  90.             [74.3555, 38.6719],
  91.             [74.1797, 38.6719],
  92.             [74.0918, 38.54],
  93.             [73.8281, 38.584],
  94.             [73.7402, 38.8477],
  95.             [73.8281, 38.9795],
  96.             [73.4766, 39.375],
  97.             [73.916, 39.5068],
  98.             [73.916, 39.6826],
  99.             [73.8281, 39.7705],
  100.             [74.0039, 40.0342],
  101.             [74.8828, 40.3418],
  102.             [74.7949, 40.5176],
  103.             [75.2344, 40.4297],
  104.             [75.5859, 40.6494],
  105.             [75.7617, 40.2979],
  106.             [76.377, 40.3857],
  107.             [76.9043, 41.001],
  108.             [77.6074, 41.001],
  109.             [78.1348, 41.2207],
  110.             [78.1348, 41.3965],
  111.             [80.1563, 42.0557],
  112.             [80.2441, 42.2754],
  113.             [80.1563, 42.627],
  114.             [80.2441, 42.8467],
  115.             [80.5078, 42.8906],
  116.             [80.4199, 43.0664],
  117.             [80.7715, 43.1982],
  118.             [80.4199, 44.165],
  119.             [80.4199, 44.6045],
  120.             [79.9805, 44.8242],
  121.             [79.9805, 44.9561],
  122.             [81.7383, 45.3955],
  123.             [82.0898, 45.2197],
  124.             [82.5293, 45.2197],
  125.             [82.2656, 45.6592],
  126.             [83.0566, 47.2412],
  127.             [83.6719, 47.0215],
  128.             [84.7266, 47.0215],
  129.             [84.9023, 46.8896],
  130.             [85.5176, 47.0654],
  131.             [85.6934, 47.2852],
  132.             [85.5176, 48.1201],
  133.             [85.7813, 48.4277],
  134.             [86.5723, 48.5596],
  135.             [86.8359, 48.8232],
  136.             [86.748, 48.9551],
  137.             [86.8359, 49.1309],
  138.             [87.8027, 49.1748],
  139.             [87.8906, 48.999],
  140.             [87.7148, 48.9111],
  141.             [88.0664, 48.7354],
  142.             [87.9785, 48.6035],
  143.             [88.5059, 48.3838],
  144.             [88.6816, 48.1641],
  145.             [89.1211, 47.9883],
  146.             [89.5605, 48.0322],
  147.             [89.7363, 47.8564],
  148.             [90.0879, 47.8564],
  149.             [90.3516, 47.6807],
  150.             [90.5273, 47.2412],
  151.             [90.8789, 46.9775],
  152.             [91.0547, 46.582],
  153.             [90.8789, 46.3184],
  154.             [91.0547, 46.0107],
  155.             [90.7031, 45.7471],
  156.             [90.7031, 45.5273],
  157.             [90.8789, 45.2197],
  158.             [91.582, 45.0879],
  159.             [93.5156, 44.9561],
  160.             [94.7461, 44.3408],
  161.             [95.3613, 44.2969],
  162.             [95.3613, 44.0332],
  163.             [95.5371, 43.9014],
  164.             [95.8887, 43.2422],
  165.             [96.3281, 42.9346],
  166.             [96.416, 42.7588]
  167.           ]
  168.         ]
  169.       }
  170.     },
  171.     {
  172.       "type": "Feature",
  173.       "id": "xi_zang",
  174.       "properties": {
  175.         "name": "西藏",
  176.         "cp": [88.7695, 31.6846],
  177.         "childNum": 7
  178.       },
  179.       "geometry": {
  180.         "type": "Polygon",
  181.         "coordinates": [
  182.           [
  183.             [79.0137, 34.3213],
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  187.             [80.2441, 35.2002],
  188.             [80.332, 35.1563],
  189.             [80.2441, 35.2881],
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  330.           ]
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  332.       }
  333.     },
  334.     {
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  1. // 使用 Map
  2. <Map data={dataList} />

dataList数据格式：

[{"name":"北京","value":2000},{"name":"福建","value":4000}]

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