githubmirror/echarts

test/touch-slide.html
817 строк27 KB
pissang
test: use require to replace original jquery loading
10 май 2021, 09:02
10 май 2021, 09:02f07de0b

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<html>
    <head>
        <meta charset="utf-8">
        <meta name="viewport" content="width=device-width, initial-scale=1" />
        <script src="lib/simpleRequire.js"></script>
        <script src="lib/config.js"></script>
        <script src="lib/facePrint.js"></script>
    </head>
    <body>
        <style>
            .main {
                margin: 0 auto;
                width: 85%;
                height: 300px;
                border: 10px solid rgba(0,0,0,0.5);
            }
            h2, h3, h4 {
                color: red;
                margin-top: 0;
                margin-bottom: 3px;
            }
        </style>

        <h1>Test touch slide on Mobile!</h1>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>

        <h3>This page should be able to scroll when sliding on pie!</h3>
        <div class="main" id="main1"></div>

        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>

        <h3>Tooltip should be move smoothly when sliding in grid!</h3>
        <h3>This page should be able to scroll when sliding out of grid!</h3>
        <div class="main" id="main2"></div>

        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>

        <h3>DataZoom should be smooth when sliding or pinching on line!</h3>
        <h3>This page should be able to scroll when sliding out of grid!</h3>
        <div class="main" id="main3"></div>

        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text

        <h3>Touch move on map, page should be moved!</h3>
        <div class="main" id="main4"></div>

        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text<br>
        some text










        <script>

        require([
            'echarts'
        ], function (echarts) {

            var el = document.getElementById('main1');
            if (!el) {
                return;
            }
            var chart = echarts.init(el);

            var data = [
                {value:335, name:'直接访问'},
                {value:310, name:'邮件营销'},
                {value:234, name:'联盟广告'},
                {value:135, name:'视频广告'},
                {value:1548, name:'搜索引擎'},
                {value:1548, name:'搜索引擎2'},
                {value:1548, name:'搜索引擎3'},
                {value:1548, name:'搜索引擎4'},
                {value:1548, name:'搜索引擎5'},
                {value:1548, name:'搜索引擎6'},
                {value:1548, name:'搜索引擎7'},
                {value:1548, name:'搜索引擎8'},
                {value:1548, name:'搜索引擎9'},
                {value:1548, name:'搜索引擎10'}
            ];
            chart.setOption({
                legend: {
                    type: 'scroll',
                    right: 0,
                    orient: 'vertical',
                    data: echarts.util.map(data, function (item) {
                        return item.name;
                    })
                },
                toolbox: {
                    left: 'left',
                    feature: {
                        dataView: {},
                        saveAsImage: {}
                    }
                },
                tooltip: {
                    confine: true
                },
                series: [{
                    name: 'pie',
                    type: 'pie',
                    data: data
                }]
            });
        })

        </script>


















        <script>

        require([
            'echarts'
        ], function (echarts) {

            var el = document.getElementById('main2');
            if (!el) {
                return;
            }
            var chart = echarts.init(el);
            var data = [];
            var baseTime = +new Date();
            var day = 3600 * 60 * 24 * 1000;

            for (var i = 0; i < 100; i++) {
                baseTime += day;
                data.push([baseTime, Math.random() * 10]);
            }

            chart.setOption({
                tooltip: {
                    trigger: 'axis',
                    confine: true,
                    axisPointer: {
                        animation: false
                    }
                },
                xAxis: {
                    type: 'time',
                    splitLine: {
                        show: false
                    }
                },
                yAxis: {
                    type: 'value',
                    boundaryGap: [0, '100%'],
                    splitLine: {
                        show: false
                    }
                },
                grid: {
                    show: true,
                    backgroundColor: 'rgba(0,0,0,0.3)',
                    top: 90,
                    bottom: 90
                },
                series: [{
                    name: '模拟数据',
                    type: 'line',
                    showSymbol: false,
                    hoverAnimation: false,
                    data: data
                }]
            });

        });

        </script>









        <script>

        require([
            'echarts'
        ], function (echarts) {

            var el = document.getElementById('main3');
            if (!el) {
                return;
            }
            var chart = echarts.init(el);
            var data = [];
            var baseTime = +new Date();
            var day = 3600 * 60 * 24 * 1000;

            for (var i = 0; i < 100; i++) {
                baseTime += day;
                data.push([baseTime, Math.random() * 10]);
            }

            chart.setOption({
                tooltip: {
                    triggerOn: 'none',
                    confine: true
                },
                xAxis: {
                    type: 'time',
                    splitLine: {
                        show: false
                    },
                    axisPointer: {
                        handle: {show: true}
                    }
                },
                yAxis: {
                    type: 'value',
                    boundaryGap: [0, '100%'],
                    splitLine: {
                        show: false
                    }
                },
                grid: {
                    show: true,
                    backgroundColor: 'rgba(0,0,0,0.3)',
                    top: 90,
                    bottom: 90
                },
                dataZoom: {
                    type: 'inside',
                    start: 30,
                    end: 70,
                    preventDefaultMouseMove: false
                },
                series: [{
                    name: '模拟数据',
                    type: 'line',
                    showSymbol: false,
                    hoverAnimation: false,
                    data: data
                }]
            });

        });

        </script>








        <script>

           var data = [
               {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 = {
               '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) {
               var res = [];
               for (var i = 0; i < data.length; i++) {
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                   if (geoCoord) {
                       res.push({
                           name: data[i].name,
                           value: geoCoord.concat(data[i].value)
                       });
                   }
               }
               return res;
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                        left: 'left',
                        top: 'bottom',
                        text: ['High', 'Low'],
                        seriesIndex: [1, 2, 3],
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                        calculable: true
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                    geo: {
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                    series: [
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