【react】react使用echarts详细流程

【react】react使用echarts详细流程,第1张

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如果有不懂可以留言,我看到了应该会回复
如有错误,请多多指教

项目介绍

本项目(导航网后台,统计页)。在react+typescript使用echart的地图插件(bmap)

1.首先我们得下载echarts
npm install echarts --save
or
yarn add echarts --save

如果你跟我一样使用了typescript,就需要安装echarts的装饰器

npm install @types/echarts --save
or
yarn add @types/echarts --save
2.使用百度地图API,否者会报错BMap api is not loaded 2.1在react中的index.html加入这句话
    <script type="text/javascript" src="http://api.map.baidu.com/api?v=3.0&ak=你的百度秘钥"></script>

2.2 如何获取百度api秘钥

2.2.1 进入百度api首页
添加链接描述

2.2.2

2.2.3
https://lbsyun.baidu.com/index.php?title=jspopularGL/guide/getkey

2.2.4
创建时,因为你是本地,所以白名单ip你可以跟我一样写:127.0.0.1

3.按需加载组件
import * as echarts from 'echarts';
import 'echarts/extension/bmap/bmap';//地图
4.引入地图的数据和初始化echarts
.....
import * as echarts from 'echarts';
import 'echarts/extension/bmap/bmap';//地图
var data:{name:string,value:number}[] = [
    {name: '海门', value: 9},
    {name: '鄂尔多斯', value: 12},
    {name: '招远', value: 12},
    {name: '舟山', value: 12},
    {name: '齐齐哈尔', value: 14},
    {name: '盐城', value: 15},
    {name: '赤峰', value: 16},
    {name: '青岛', value: 18},
    {name: '乳山', value: 18},
    {name: '金昌', value: 19},
    {name: '泉州', value: 21},
    {name: '莱西', value: 21},
    {name: '日照', value: 21},
    {name: '胶南', value: 22},
    {name: '南通', value: 23},
    {name: '拉萨', value: 24},
    {name: '云浮', 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: '厦门', value: 26},
    {name: '汕尾', value: 26},
    {name: '潮州', value: 26},
    {name: '丹东', value: 27},
    {name: '太仓', value: 27},
    {name: '曲靖', value: 27},
    {name: '烟台', value: 28},
    {name: '福州', value: 29},
    {name: '瓦房店', value: 30},
    {name: '即墨', value: 30},
    {name: '抚顺', value: 31},
    {name: '玉溪', value: 31},
    {name: '张家口', value: 31},
    {name: '阳泉', value: 31},
    {name: '莱州', value: 32},
    {name: '湖州', value: 32},
    {name: '汕头', value: 32},
    {name: '昆山', value: 33},
    {name: '宁波', value: 33},
    {name: '湛江', value: 33},
    {name: '揭阳', value: 34},
    {name: '荣成', value: 34},
    {name: '连云港', value: 35},
    {name: '葫芦岛', value: 35},
    {name: '常熟', value: 36},
    {name: '东莞', value: 36},
    {name: '河源', value: 36},
    {name: '淮安', value: 36},
    {name: '泰州', value: 36},
    {name: '南宁', value: 37},
    {name: '营口', value: 37},
    {name: '惠州', value: 37},
    {name: '江阴', value: 37},
    {name: '蓬莱', value: 37},
    {name: '韶关', value: 38},
    {name: '嘉峪关', value: 38},
    {name: '广州', value: 38},
    {name: '延安', value: 38},
    {name: '太原', value: 39},
    {name: '清远', value: 39},
    {name: '中山', value: 39},
    {name: '昆明', value: 39},
    {name: '寿光', value: 40},
    {name: '盘锦', value: 40},
    {name: '长治', value: 41},
    {name: '深圳', value: 41},
    {name: '珠海', value: 42},
    {name: '宿迁', value: 43},
    {name: '咸阳', value: 43},
    {name: '铜川', value: 44},
    {name: '平度', value: 44},
    {name: '佛山', value: 44},
    {name: '海口', value: 44},
    {name: '江门', value: 45},
    {name: '章丘', value: 45},
    {name: '肇庆', value: 46},
    {name: '大连', value: 47},
    {name: '临汾', value: 47},
    {name: '吴江', value: 47},
    {name: '石嘴山', value: 49},
    {name: '沈阳', value: 50},
    {name: '苏州', value: 50},
    {name: '茂名', value: 50},
    {name: '嘉兴', value: 51},
    {name: '长春', value: 51},
    {name: '胶州', value: 52},
    {name: '银川', value: 52},
    {name: '张家港', value: 52},
    {name: '三门峡', value: 53},
    {name: '锦州', value: 54},
    {name: '南昌', value: 54},
    {name: '柳州', value: 54},
    {name: '三亚', value: 54},
    {name: '自贡', value: 56},
    {name: '吉林', value: 56},
    {name: '阳江', value: 57},
    {name: '泸州', value: 57},
    {name: '西宁', value: 57},
    {name: '宜宾', value: 58},
    {name: '呼和浩特', value: 58},
    {name: '成都', value: 58},
    {name: '大同', value: 58},
    {name: '镇江', value: 59},
    {name: '桂林', value: 59},
    {name: '张家界', value: 59},
    {name: '宜兴', value: 59},
    {name: '北海', value: 60},
    {name: '西安', value: 61},
    {name: '金坛', value: 62},
    {name: '东营', value: 62},
    {name: '牡丹江', value: 63},
    {name: '遵义', value: 63},
    {name: '绍兴', value: 63},
    {name: '扬州', value: 64},
    {name: '常州', value: 64},
    {name: '潍坊', value: 65},
    {name: '重庆', value: 66},
    {name: '台州', value: 67},
    {name: '南京', value: 67},
    {name: '滨州', value: 70},
    {name: '贵阳', value: 71},
    {name: '无锡', value: 71},
    {name: '本溪', value: 71},
    {name: '克拉玛依', value: 72},
    {name: '渭南', value: 72},
    {name: '马鞍山', value: 72},
    {name: '宝鸡', 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: '包头', value: 80},
    {name: '绵阳', value: 80},
    {name: '乌鲁木齐', value: 84},
    {name: '枣庄', value: 84},
    {name: '杭州', value: 84},
    {name: '淄博', value: 85},
    {name: '鞍山', value: 86},
    {name: '溧阳', value: 86},
    {name: '库尔勒', value: 86},
    {name: '安阳', value: 90},
    {name: '开封', value: 90},
    {name: '济南', value: 92},
    {name: '德阳', value: 93},
    {name: '温州', value: 95},
    {name: '九江', value: 96},
    {name: '邯郸', value: 98},
    {name: '临安', value: 99},
    {name: '兰州', value: 99},
    {name: '沧州', value: 100},
    {name: '临沂', value: 103},
    {name: '南充', value: 104},
    {name: '天津', value: 105},
    {name: '富阳', value: 106},
    {name: '泰安', value: 112},
    {name: '诸暨', value: 112},
    {name: '郑州', value: 113},
    {name: '哈尔滨', value: 114},
    {name: '聊城', value: 116},
    {name: '芜湖', value: 117},
    {name: '唐山', value: 119},
    {name: '平顶山', value: 119},
    {name: '邢台', value: 119},
    {name: '德州', value: 120},
    {name: '济宁', value: 120},
    {name: '荆州', value: 127},
    {name: '宜昌', value: 130},
    {name: '义乌', value: 132},
    {name: '丽水', value: 133},
    {name: '洛阳', value: 134},
    {name: '秦皇岛', value: 136},
    {name: '株洲', value: 143},
    {name: '石家庄', value: 147},
    {name: '莱芜', value: 148},
    {name: '常德', value: 152},
    {name: '保定', value: 153},
    {name: '湘潭', value: 154},
    {name: '金华', value: 157},
    {name: '岳阳', value: 169},
    {name: '长沙', value: 175},
    {name: '衢州', value: 177},
    {name: '廊坊', value: 193},
    {name: '菏泽', value: 194},
    {name: '合肥', value: 229},
    {name: '武汉', value: 273},
    {name: '大庆', value: 279}
];
var geoCoordMap:any = {
   '海门':[121.15,31.89],
   '鄂尔多斯':[109.781327,39.608266],
   '招远':[120.38,37.35],
   '舟山':[122.207216,29.985295],
   '齐齐哈尔':[123.97,47.33],
   '盐城':[120.13,33.38],
   '赤峰':[118.87,42.28],
   '青岛':[120.33,36.07],
   '乳山':[121.52,36.89],
   '金昌':[102.188043,38.520089],
   '泉州':[118.58,24.93],
   '莱西':[120.53,36.86],
   '日照':[119.46,35.42],
   '胶南':[119.97,35.88],
   '南通':[121.05,32.08],
   '拉萨':[91.11,29.97],
   '云浮':[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],
   '厦门':[118.1,24.46],
   '汕尾':[115.375279,22.786211],
   '潮州':[116.63,23.68],
   '丹东':[124.37,40.13],
   '太仓':[121.1,31.45],
   '曲靖':[103.79,25.51],
   '烟台':[121.39,37.52],
   '福州':[119.3,26.08],
   '瓦房店':[121.979603,39.627114],
   '即墨':[120.45,36.38],
   '抚顺':[123.97,41.97],
   '玉溪':[102.52,24.35],
   '张家口':[114.87,40.82],
   '阳泉':[113.57,37.85],
   '莱州':[119.942327,37.177017],
   '湖州':[120.1,30.86],
   '汕头':[116.69,23.39],
   '昆山':[120.95,31.39],
   '宁波':[121.56,29.86],
   '湛江':[110.359377,21.270708],
   '揭阳':[116.35,23.55],
   '荣成':[122.41,37.16],
   '连云港':[119.16,34.59],
   '葫芦岛':[120.836932,40.711052],
   '常熟':[120.74,31.64],
   '东莞':[113.75,23.04],
   '河源':[114.68,23.73],
   '淮安':[119.15,33.5],
   '泰州':[119.9,32.49],
   '南宁':[108.33,22.84],
   '营口':[122.18,40.65],
   '惠州':[114.4,23.09],
   '江阴':[120.26,31.91],
   '蓬莱':[120.75,37.8],
   '韶关':[113.62,24.84],
   '嘉峪关':[98.289152,39.77313],
   '广州':[113.23,23.16],
   '延安':[109.47,36.6],
   '太原':[112.53,37.87],
   '清远':[113.01,23.7],
   '中山':[113.38,22.52],
   '昆明':[102.73,25.04],
   '寿光':[118.73,36.86],
   '盘锦':[122.070714,41.119997],
   '长治':[113.08,36.18],
   '深圳':[114.07,22.62],
   '珠海':[113.52,22.3],
   '宿迁':[118.3,33.96],
   '咸阳':[108.72,34.36],
   '铜川':[109.11,35.09],
   '平度':[119.97,36.77],
   '佛山':[113.11,23.05],
   '海口':[110.35,20.02],
   '江门':[113.06,22.61],
   '章丘':[117.53,36.72],
   '肇庆':[112.44,23.05],
   '大连':[121.62,38.92],
   '临汾':[111.5,36.08],
   '吴江':[120.63,31.16],
   '石嘴山':[106.39,39.04],
   '沈阳':[123.38,41.8],
   '苏州':[120.62,31.32],
   '茂名':[110.88,21.68],
   '嘉兴':[120.76,30.77],
   '长春':[125.35,43.88],
   '胶州':[120.03336,36.264622],
   '银川':[106.27,38.47],
   '张家港':[120.555821,31.875428],
   '三门峡':[111.19,34.76],
   '锦州':[121.15,41.13],
   '南昌':[115.89,28.68],
   '柳州':[109.4,24.33],
   '三亚':[109.511909,18.252847],
   '自贡':[104.778442,29.33903],
   '吉林':[126.57,43.87],
   '阳江':[111.95,21.85],
   '泸州':[105.39,28.91],
   '西宁':[101.74,36.56],
   '宜宾':[104.56,29.77],
   '呼和浩特':[111.65,40.82],
   '成都':[104.06,30.67],
   '大同':[113.3,40.12],
   '镇江':[119.44,32.2],
   '桂林':[110.28,25.29],
   '张家界':[110.479191,29.117096],
   '宜兴':[119.82,31.36],
   '北海':[109.12,21.49],
   '西安':[108.95,34.27],
   '金坛':[119.56,31.74],
   '东营':[118.49,37.46],
   '牡丹江':[129.58,44.6],
   '遵义':[106.9,27.7],
   '绍兴':[120.58,30.01],
   '扬州':[119.42,32.39],
   '常州':[119.95,31.79],
   '潍坊':[119.1,36.62],
   '重庆':[106.54,29.59],
   '台州':[121.420757,28.656386],
   '南京':[118.78,32.04],
   '滨州':[118.03,37.36],
   '贵阳':[106.71,26.57],
   '无锡':[120.29,31.59],
   '本溪':[123.73,41.3],
   '克拉玛依':[84.77,45.59],
   '渭南':[109.5,34.52],
   '马鞍山':[118.48,31.56],
   '宝鸡':[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],
   '包头':[110,40.58],
   '绵阳':[104.73,31.48],
   '乌鲁木齐':[87.68,43.77],
   '枣庄':[117.57,34.86],
   '杭州':[120.19,30.26],
   '淄博':[118.05,36.78],
   '鞍山':[122.85,41.12],
   '溧阳':[119.48,31.43],
   '库尔勒':[86.06,41.68],
   '安阳':[114.35,36.1],
   '开封':[114.35,34.79],
   '济南':[117,36.65],
   '德阳':[104.37,31.13],
   '温州':[120.65,28.01],
   '九江':[115.97,29.71],
   '邯郸':[114.47,36.6],
   '临安':[119.72,30.23],
   '兰州':[103.73,36.03],
   '沧州':[116.83,38.33],
   '临沂':[118.35,35.05],
   '南充':[106.110698,30.837793],
   '天津':[117.2,39.13],
   '富阳':[119.95,30.07],
   '泰安':[117.13,36.18],
   '诸暨':[120.23,29.71],
   '郑州':[113.65,34.76],
   '哈尔滨':[126.63,45.75],
   '聊城':[115.97,36.45],
   '芜湖':[118.38,31.33],
   '唐山':[118.02,39.63],
   '平顶山':[113.29,33.75],
   '邢台':[114.48,37.05],
   '德州':[116.29,37.45],
   '济宁':[116.59,35.38],
   '荆州':[112.239741,30.335165],
   '宜昌':[111.3,30.7],
   '义乌':[120.06,29.32],
   '丽水':[119.92,28.45],
   '洛阳':[112.44,34.7],
   '秦皇岛':[119.57,39.95],
   '株洲':[113.16,27.83],
   '石家庄':[114.48,38.03],
   '莱芜':[117.67,36.19],
   '常德':[111.69,29.05],
   '保定':[115.48,38.85],
   '湘潭':[112.91,27.87],
   '金华':[119.64,29.12],
   '岳阳':[113.09,29.37],
   '长沙':[113,28.21],
   '衢州':[118.88,28.97],
   '廊坊':[116.7,39.53],
   '菏泽':[115.480656,35.23375],
   '合肥':[117.27,31.86],
   '武汉':[114.31,30.52],
   '大庆':[125.03,46.58]
};


var convertData = function (data: string | any[]) {
    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;
};
class Home extends Component{
 	componentDidMount(): void {
        this.handleRenderMap();
    }
	handleRenderMap(){
        let main = document.getElementById("echartsmap");
        var myChart = echarts.init(main as HTMLDivElement);
        let option:any={
            title: {
                text: '全国主要城市空气质量 - 百度地图',
                subtext: 'data from PM25.in',
                sublink: 'http://www.pm25.in',
                left: 'center'
            },
            tooltip : {
                trigger: 'item'
            },
            bmap: {
                center: [104.114129, 37.550339],
                zoom: 5,
                roam: true,
                mapStyle: {
                    styleJson: [{
                        'featureType': 'water',
                        'elementType': 'all',
                        'stylers': {
                            'color': '#d1d1d1'
                        }
                    }, {
                        'featureType': 'land',
                        'elementType': 'all',
                        'stylers': {
                            'color': '#f3f3f3'
                        }
                    }, {
                        'featureType': 'railway',
                        'elementType': 'all',
                        'stylers': {
                            'visibility': 'off'
                        }
                    }, {
                        'featureType': 'highway',
                        'elementType': 'all',
                        'stylers': {
                            'color': '#fdfdfd'
                        }
                    }, {
                        'featureType': 'highway',
                        'elementType': 'labels',
                        'stylers': {
                            'visibility': 'off'
                        }
                    }, {
                        'featureType': 'arterial',
                        'elementType': 'geometry',
                        'stylers': {
                            'color': '#fefefe'
                        }
                    }, {
                        'featureType': 'arterial',
                        'elementType': 'geometry.fill',
                        'stylers': {
                            'color': '#fefefe'
                        }
                    }, {
                        'featureType': 'poi',
                        'elementType': 'all',
                        'stylers': {
                            'visibility': 'off'
                        }
                    }, {
                        'featureType': 'green',
                        'elementType': 'all',
                        'stylers': {
                            'visibility': 'off'
                        }
                    }, {
                        'featureType': 'subway',
                        'elementType': 'all',
                        'stylers': {
                            'visibility': 'off'
                        }
                    }, {
                        'featureType': 'manmade',
                        'elementType': 'all',
                        'stylers': {
                            'color': '#d1d1d1'
                        }
                    }, {
                        'featureType': 'local',
                        'elementType': 'all',
                        'stylers': {
                            'color': '#d1d1d1'
                        }
                    }, {
                        'featureType': 'arterial',
                        'elementType': 'labels',
                        'stylers': {
                            'visibility': 'off'
                        }
                    }, {
                        'featureType': 'boundary',
                        'elementType': 'all',
                        'stylers': {
                            'color': '#fefefe'
                        }
                    }, {
                        'featureType': 'building',
                        'elementType': 'all',
                        'stylers': {
                            'color': '#d1d1d1'
                        }
                    }, {
                        'featureType': 'label',
                        'elementType': 'labels.text.fill',
                        'stylers': {
                            'color': '#999999'
                        }
                    }]
                }
            },
            series : [
                {
                    name: 'pm2.5',
                    type: 'scatter',
                    coordinateSystem: 'bmap',
                    data: convertData(data),
                    symbolSize: function (val: number[]) {
                        return val[2] / 10;
                    },
                    encode: {
                        value: 2
                    },
                    label: {
                        formatter: '{b}',
                        position: 'right',
                        show: false
                    },
                    itemStyle: {
                        color: 'purple'
                    },
                    emphasis: {
                        label: {
                            show: true
                        }
                    }
                },
                {
                    name: 'Top 5',
                    type: 'effectScatter',
                    coordinateSystem: 'bmap',
                    data: convertData(data.sort(function (a, b) {
                        return b.value - a.value;
                    }).slice(0, 6)),
                    symbolSize: function (val: number[]) {
                        return val[2] / 10;
                    },
                    encode: {
                        value: 2
                    },
                    showEffectOn: 'render',
                    rippleEffect: {
                        brushType: 'stroke'
                    },
                    hoverAnimation: true,
                    label: {
                        formatter: '{b}',
                        position: 'right',
                        show: true
                    },
                    itemStyle: {
                        color: 'purple',
                        shadowBlur: 10,
                        shadowColor: '#333'
                    },
                    zlevel: 1
                }
            ]
        };
        myChart.setOption(option);
    }
    render(){
		return (<>
			<div id="echartsmap" style={{ width: '80vw', height: "80vh" }}></div>
		</>)
	}
}

数据配置参考echarts的官方文档
https://echarts.apache.org/v4/examples/zh/editor.html?c=effectScatter-bmap

参考网站:
https://echarts.apache.org/v4/examples/zh/editor.html?c=effectScatter-bmap

欢迎分享,转载请注明来源:内存溢出

原文地址: http://outofmemory.cn/langs/870933.html

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