githubmirror/echarts

test/lines-remove.html
348 строк16 KB
pissang
test(visual): fix cases that using async loading
08 май 2021, 17:12
08 май 2021, 17:12f0e96fe

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<html>
    <head>
        <meta charset='utf-8'>
        <script src='lib/simpleRequire.js'></script>
        <script src='lib/config.js'></script>
        <script src='lib/jquery.min.js'></script>
        <script src='http://api.map.baidu.com/api?v=2.0&ak=KOmVjPVUAey1G2E8zNhPiuQ6QiEmAwZu'></script>
        <meta name='viewport' content='width=device-width, initial-scale=1' />
    </head>
    <body>
        <style>
            html, body, #main {
                width: 100%;
                height: 100%;
                margin: 0;
            }
        </style>
        <div id='main'></div>
        <script>

            require([
                'echarts',
                './data/map/json/china.json'
            ], function (echarts, json) {
                    echarts.registerMap('china', json);

                    var myChart = echarts.init(document.getElementById('main'));

                    var geoCoordMap = {
                        '上海': [121.4648,31.2891],
                        '东莞': [113.8953,22.901],
                        '东营': [118.7073,37.5513],
                        '中山': [113.4229,22.478],
                        '临汾': [111.4783,36.1615],
                        '临沂': [118.3118,35.2936],
                        '丹东': [124.541,40.4242],
                        '丽水': [119.5642,28.1854],
                        '乌鲁木齐': [87.9236,43.5883],
                        '佛山': [112.8955,23.1097],
                        '保定': [115.0488,39.0948],
                        '兰州': [103.5901,36.3043],
                        '包头': [110.3467,41.4899],
                        '北京': [116.4551,40.2539],
                        '北海': [109.314,21.6211],
                        '南京': [118.8062,31.9208],
                        '南宁': [108.479,23.1152],
                        '南昌': [116.0046,28.6633],
                        '南通': [121.1023,32.1625],
                        '厦门': [118.1689,24.6478],
                        '台州': [121.1353,28.6688],
                        '合肥': [117.29,32.0581],
                        '呼和浩特': [111.4124,40.4901],
                        '咸阳': [108.4131,34.8706],
                        '哈尔滨': [127.9688,45.368],
                        '唐山': [118.4766,39.6826],
                        '嘉兴': [120.9155,30.6354],
                        '大同': [113.7854,39.8035],
                        '大连': [122.2229,39.4409],
                        '天津': [117.4219,39.4189],
                        '太原': [112.3352,37.9413],
                        '威海': [121.9482,37.1393],
                        '宁波': [121.5967,29.6466],
                        '宝鸡': [107.1826,34.3433],
                        '宿迁': [118.5535,33.7775],
                        '常州': [119.4543,31.5582],
                        '广州': [113.5107,23.2196],
                        '廊坊': [116.521,39.0509],
                        '延安': [109.1052,36.4252],
                        '张家口': [115.1477,40.8527],
                        '徐州': [117.5208,34.3268],
                        '德州': [116.6858,37.2107],
                        '惠州': [114.6204,23.1647],
                        '成都': [103.9526,30.7617],
                        '扬州': [119.4653,32.8162],
                        '承德': [117.5757,41.4075],
                        '拉萨': [91.1865,30.1465],
                        '无锡': [120.3442,31.5527],
                        '日照': [119.2786,35.5023],
                        '昆明': [102.9199,25.4663],
                        '杭州': [119.5313,29.8773],
                        '枣庄': [117.323,34.8926],
                        '柳州': [109.3799,24.9774],
                        '株洲': [113.5327,27.0319],
                        '武汉': [114.3896,30.6628],
                        '汕头': [117.1692,23.3405],
                        '江门': [112.6318,22.1484],
                        '沈阳': [123.1238,42.1216],
                        '沧州': [116.8286,38.2104],
                        '河源': [114.917,23.9722],
                        '泉州': [118.3228,25.1147],
                        '泰安': [117.0264,36.0516],
                        '泰州': [120.0586,32.5525],
                        '济南': [117.1582,36.8701],
                        '济宁': [116.8286,35.3375],
                        '海口': [110.3893,19.8516],
                        '淄博': [118.0371,36.6064],
                        '淮安': [118.927,33.4039],
                        '深圳': [114.5435,22.5439],
                        '清远': [112.9175,24.3292],
                        '温州': [120.498,27.8119],
                        '渭南': [109.7864,35.0299],
                        '湖州': [119.8608,30.7782],
                        '湘潭': [112.5439,27.7075],
                        '滨州': [117.8174,37.4963],
                        '潍坊': [119.0918,36.524],
                        '烟台': [120.7397,37.5128],
                        '玉溪': [101.9312,23.8898],
                        '珠海': [113.7305,22.1155],
                        '盐城': [120.2234,33.5577],
                        '盘锦': [121.9482,41.0449],
                        '石家庄': [114.4995,38.1006],
                        '福州': [119.4543,25.9222],
                        '秦皇岛': [119.2126,40.0232],
                        '绍兴': [120.564,29.7565],
                        '聊城': [115.9167,36.4032],
                        '肇庆': [112.1265,23.5822],
                        '舟山': [122.2559,30.2234],
                        '苏州': [120.6519,31.3989],
                        '莱芜': [117.6526,36.2714],
                        '菏泽': [115.6201,35.2057],
                        '营口': [122.4316,40.4297],
                        '葫芦岛': [120.1575,40.578],
                        '衡水': [115.8838,37.7161],
                        '衢州': [118.6853,28.8666],
                        '西宁': [101.4038,36.8207],
                        '西安': [109.1162,34.2004],
                        '贵阳': [106.6992,26.7682],
                        '连云港': [119.1248,34.552],
                        '邢台': [114.8071,37.2821],
                        '邯郸': [114.4775,36.535],
                        '郑州': [113.4668,34.6234],
                        '鄂尔多斯': [108.9734,39.2487],
                        '重庆': [107.7539,30.1904],
                        '金华': [120.0037,29.1028],
                        '铜川': [109.0393,35.1947],
                        '银川': [106.3586,38.1775],
                        '镇江': [119.4763,31.9702],
                        '长春': [125.8154,44.2584],
                        '长沙': [113.0823,28.2568],
                        '长治': [112.8625,36.4746],
                        '阳泉': [113.4778,38.0951],
                        '青岛': [120.4651,36.3373],
                        '韶关': [113.7964,24.7028]
                    };

                    var BJData = [
                        [{name:'北京'}, {name:'上海',value:95}],
                        [{name:'北京'}, {name:'广州',value:90}],
                        [{name:'北京'}, {name:'大连',value:80}],
                        [{name:'北京'}, {name:'南宁',value:70}],
                        [{name:'北京'}, {name:'南昌',value:60}],
                        [{name:'北京'}, {name:'拉萨',value:50}],
                        [{name:'北京'}, {name:'长春',value:40}],
                        [{name:'北京'}, {name:'包头',value:30}],
                        [{name:'北京'}, {name:'重庆',value:20}],
                        [{name:'北京'}, {name:'常州',value:10}]
                    ];

                    var SHData = [
                        [{name:'上海'},{name:'包头',value:95}],
                        [{name:'上海'},{name:'昆明',value:90}],
                        [{name:'上海'},{name:'广州',value:80}],
                        [{name:'上海'},{name:'郑州',value:70}],
                        [{name:'上海'},{name:'长春',value:60}],
                        [{name:'上海'},{name:'重庆',value:50}],
                        [{name:'上海'},{name:'长沙',value:40}],
                        [{name:'上海'},{name:'北京',value:30}],
                        [{name:'上海'},{name:'丹东',value:20}],
                        [{name:'上海'},{name:'大连',value:10}]
                    ];

                    var GZData = [
                        [{name:'广州'},{name:'福州',value:95}],
                        [{name:'广州'},{name:'太原',value:90}],
                        [{name:'广州'},{name:'长春',value:80}],
                        [{name:'广州'},{name:'重庆',value:70}],
                        [{name:'广州'},{name:'西安',value:60}],
                        [{name:'广州'},{name:'成都',value:50}],
                        [{name:'广州'},{name:'常州',value:40}],
                        [{name:'广州'},{name:'北京',value:30}],
                        [{name:'广州'},{name:'北海',value:20}],
                        [{name:'广州'},{name:'海口',value:10}]
                    ];

                    var planePath = 'path://M1705.06,1318.313v-89.254l-319.9-221.799l0.073-208.063c0.521-84.662-26.629-121.796-63.961-121.491c-37.332-0.305-64.482,36.829-63.961,121.491l0.073,208.063l-319.9,221.799v89.254l330.343-157.288l12.238,241.308l-134.449,92.931l0.531,42.034l175.125-42.917l175.125,42.917l0.531-42.034l-134.449-92.931l12.238-241.308L1705.06,1318.313z';

                    var convertData = function (data) {
                        var res = [];
                        for (var i = 0; i < data.length; i++) {
                            var dataItem = data[i];
                            var fromCoord = geoCoordMap[dataItem[0].name];
                            var toCoord = geoCoordMap[dataItem[1].name];
                            if (fromCoord && toCoord) {
                                res.push({
                                    fromName: dataItem[0].name,
                                    toName: dataItem[1].name,
                                    coords: [fromCoord, toCoord]
                                });
                            }
                        }
                        return res;
                    };

                    var color = ['#a6c84c', '#ffa022', '#46bee9'];
                    var series = [];
                    [['北京', BJData], ['上海', SHData], ['广州', GZData]].forEach(function (item, i) {
                        series.push({
                            name: item[0] + ' Top10',
                            type: 'lines',
                            zlevel: 1,
                            effect: {
                                show: true,
                                period: 6,
                                trailLength: 0.7,
                                color: '#fff',
                                symbolSize: 3
                            },
                            lineStyle: {
                                normal: {
                                    color: color[i],
                                    width: 0,
                                    curveness: 0.2
                                }
                            },
                            data: convertData(item[1])
                        },
                        {
                            name: item[0] + ' Top10',
                            type: 'lines',
                            zlevel: 2,
                            symbol: ['none', 'arrow'],
                            symbolSize: 10,
                            effect: {
                                show: true,
                                period: 6,
                                trailLength: 0,
                                symbol: planePath,
                                symbolSize: 15
                            },
                            lineStyle: {
                                normal: {
                                    color: color[i],
                                    width: 1,
                                    opacity: 0.6,
                                    curveness: 0.2
                                }
                            },
                            data: convertData(item[1])
                        },
                        {
                            name: item[0] + ' Top10',
                            type: 'effectScatter',
                            coordinateSystem: 'geo',
                            zlevel: 2,
                            rippleEffect: {
                                brushType: 'stroke'
                            },
                            label: {
                                normal: {
                                    show: true,
                                    position: 'right',
                                    formatter: '{b}'
                                }
                            },
                            symbolSize: function (val) {
                                return val[2] / 8;
                            },
                            itemStyle: {
                                normal: {
                                    color: color[i]
                                }
                            },
                            data: item[1].map(function (dataItem) {
                                return {
                                    name: dataItem[1].name,
                                    value: geoCoordMap[dataItem[1].name].concat([dataItem[1].value])
                                };
                            })
                        });
                    });

                    myChart.setOption({
                        backgroundColor: '#404a59',
                        title : {
                            text: '模拟迁徙',
                            subtext: '数据纯属虚构',
                            left: 'center',
                            textStyle : {
                                color: '#fff'
                            }
                        },
                        tooltip : {
                            trigger: 'item'
                        },
                        legend: {
                            orient: 'vertical',
                            top: 'bottom',
                            left: 'right',
                            data:['北京 Top10', '上海 Top10', '广州 Top10'],
                            textStyle: {
                                color: '#fff'
                            },
                            selectedMode: true,
                        },
                        geo: {
                            map: 'china',
                            label: {
                                emphasis: {
                                    show: false
                                }
                            },
                            roam: true,
                            itemStyle: {
                                normal: {
                                    areaColor: '#323c48',
                                    borderColor: '#404a59'
                                },
                                emphasis: {
                                    areaColor: '#2a333d'
                                }
                            }
                        },
                        series: series
                    });
            });

        </script>
    </body>
</html>