echart实现数据传输动态效果


function setDataTransfer(id) {
	var chart = echarts.init(document.getElementById(id));
var items = [{
        level: 1,
        name: "传感器",
        label: 'beijing',
        value: [20, 10],
        symbol: "",
        symbolSize: [30, 30]
    },
   
    {
        level: 1,
        symbol: "",
        name: "物联中心",
        category: 0,
        active: true,
        speed: 6,
        value: [60, 35],
        belong:'传感器',
    },
    {
        level: 1,
        symbol: "",
        name: "处理器",
        category: 0,
        active: true,
        speed: 6,
        value: [20, 35],
        belong:'物联中心',
        symbolSize: [30, 30]
    }
    ,
    {
        level: 1,
        symbol: "",
        name: "GPS",
        category: 0,
        active: false,
        speed: 6,
        value: [60, 55],
        belong:'处理器',
         symbolSize: [15, 15]
    },
    {
        level: 1,
        symbol: "",
        name: "数据中心",
        category: 0,
        active: true,
        speed: 6,
        value: [20, 60],
        belong:'GPS',
        symbolSize: [30, 30]
    },
    {
        level: 1,
        symbol: "",
        name: "应用系统",
        category: 0,
        active: true,
        speed: 6,
        value: [20, 80],
        belong:'数据中心',
        symbolSize: [20, 20]
    },
    {
        level: 1,
        symbol: "",
        name: "app",
        category: 0,
        active: true,
        speed: 6,
        value: [70, 80],
        belong:'数据中心',
        symbolSize: [20, 20]
    }
];
var lineColor = [
    '#fff',
    '#f6fb05',
    '#00fcff'
];
var symbolList = [
    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tAsRO5Sg+01wLI/ESyXnDZoTvuUHcHAPklpta9nMTiSWDNcDyDugT/FEREvS3mQ0maB9wJoKebJtlWb92jqTmCKQmoWOd7DjvGeB2BuM1rm3iZ8gRGRZFsIcKsi1e9zbqUTd3WNsHcEE4GxNIZ5oF34XY5MHqD+rus5D63wMLTOa2DyXgUAfJLSlsPeDFDOJfgzVyPi0k5vIUCjAdPA2DVocWlsaMzbeNBvbeAJIXIXZLuA4SpySqnMn6gxONclmDB+at4KsLBm+Ijhf6FlWAQm6BR+4yP4zV24hqFEM3Nd4u9OqAfSVWWoS0LkuLnGtuXBAtNNDahTosvrUvQXpZRNhuZ+RmoMyM6Ecw/Cx+A0/Uept9R1JegYfvMUruFg4ud3JJ4/GgjHNVA06/GuKpNl2tMQ/kTMep8qbUJUPYtcp8rvioRzX4bj/bQ67Tb4Nz+nriWWNiWe36zI4bjqmEsPmKqAdclvalCviMa1QtBlVjoUX1jtouVeObcZx6O0evSsupZY6iSeHyPLMgCcToU506stxlajA9Vcjc9cTDh3UuSWVot2q2tJ0U4pNLvSN9YQnrxcW+NbMuH7P5G7ltUXXaTS8YRzH8Hx56nXDXMliX/zdepaYun5GpFaTDTlStzp9eBFxf+ZZhrUm0HV9RW+JZ6+pRP6An3gOV0ju/sU+etLNB2C88n1L+9YYU2zC795FUCesgVgC/cZSyX5GxC5FtpVLeUNrQG3wDnRQDKLKK53yVAEsIoK0MzXCHHZjH038lx20j6BnAaHnXcZ/kW6PLXfT9qK37gLv8m/fV9i8u7RRHN9itzTET5NUVVU3vSM/ZBMfDaR+fxpci/4bjq+qImnYUh50y6TJJNIpQo/N1OvJDKGOAu6JTLby2b2Y0imcfv3l4KPAHic6b2wRJBsEpneFwuwHkKSMAUshxOzvPOOdEFV/xo9I93wjG3TgwWmx/jFd3ABG8jdUkLygvhCHXZLkMi0dKkykVL93khpFXHfxHFvpKb5b+pO7Nm5pD0i73QGZsMWXk/C6XTNJW0EwG1B+k6YHakB684lHRb3FRtJPaUiJF9jgIYDKL7OED625zFGHmniaTyEp1EuKZWF0TZNPIwLHSZ/fUXpCRG1tpmGsPZR/FQBf+5hDEpseQOfyzUt/0WLZ6uvUoOeSkudra5T3sD3/wy513uHumH5NMiwZ7w1Dpi+xqsJrKr5LHUn6vSaXFclna90wV5sW7zvqBvScx1ncc7+RE3DQua6lJcn+CbziFoeofh6GDv51u96mFPQKhcSNcvT1Ku4o0CE49IsGih60b5+L7nEQ/eCbeIk11ehukcpXNAdqt4iAZqOAI0GlgTOeTyh+ymuRsUSC/vLMA83JSbJSpij47SyNAnTdbyGNnsax6q+NFUFVKEuD3pZ7Si+iwuojurUMnv1B8SJMWBxqUNZ3e4CjQs4swDN7hrRjB347XBCr6GlF4H3k/j+fgBH+0RNbXRU+YW+cNm3JluCZYTc7UBsBZ58PwLteh8Jp07aep44eyc+6Kt18dWDWrZT53LiqiB/uaYEzhE4o3sStQ1hME5Qb5nJLvgoq5HN7uA+nqPLl5mkaJUjyHIXEUApAuGyywyNRTB/50eNdjnnAgwTd2S8Gf7MONWvOJdgs4CwVWAuH0gWMnOk8hgGe6ewoSk5m6fAdiHbVnzfZqJl2cCxDXNzBhrhZEKiUZvzOWjMM8J5pQo/xTq2VQ6uXv0oa3olj+H8Bw1YviIv0DXb+WGo9xsUYKhCs9gLXaDFi6vaCizSVIVmvc+Cr8T1jDvyOVW0AAf1mBD+Rrp8qeyIigg2KGeZhF9n+77IpbJTlD5xqEPiaWjIs5FZ2lATolB9rm77sVHJwgLmCWBBXax/qewfwzRULZWdoV7Nbz+WyvpqasahLbSWWG/b4hYOzXTSESrHdK9KXSq7gRa3/fAtleV0AS+VnYoFjM1kVi3G1+uT+rUYPwQe2fFgwmNiyjUIDgkSG6JPqjRDypzPmlqMLzXNu5FWDwFmudp9+FYeSN9njHrNhcZocbU8rQCYioq/27VNtonQDC1ehOZLutVt9xEKn0crAMO+4/vrtvuQfg5Pqv0UrUxDoTLRXLlM10YhmJEIR7dcIjik9pgTMpkKmJpYsxPTcj4EFp/vIk0Sv/4SIqJWWABpLcvuot5S2piWZa6O30ttWdZRUw8x1X/SjluBDjkmV+UcDKl8ky6UbosHQvpvrgysT4tobdKPlmW+Pne+lmU2dH4g7olJb4r4LszFLEdTRN9+R50AcKrqi6sW+Jd9MEFFJFBChWi++qMhx7FfTRHZuf3AcjVFtMQXyhVlbxT2ea20XaVE4NT1Z4pEoOh8ynK1XfWl/ccUYPj7uDv4/VU97foBGEucgufGzrcqsLiiJt/qyZVq7NxP0FSBZbUaO+sW8nqOyIKGZ8g/jumKVWkdz4B5K2Z/V7p1fMqOaymt42NMUQggtESgLEfreJ5d/wQAI256dba/4Zu/DWZqG63fzSnKJYBFm521sjnFSZifQ7RGNqfQguRGgtzNYL8CjG9jLZ9fE7v9TZ2NKijRPPVr+5tYrdLwOLa+6rgNKpvLRy6H4J3lvhHSnmtpg6291N1g6yD1evAvBBzhldpgq1NhmkjNpJNnHo08WmUlNtjy+S38PbzNDbdaOxwzSGtxV1nOwP4kdfd63E5pW/i1IzPEPm1Tdwu/WMAsxxZ+TXLv/Rgqq+RJy4eQfEsqbl/r2xBz/uaV0DqbHGBZrk1CU8xTbISUsgtbvzYJlaC5AG3ClZJH6g7Ietm3moXHnZtsE57tEf5MSuidug1xXcD4knGNCM0Suw2xBAk7sN+mbj3wE/2YF1uvG51vBXD6tdF5nbA7FjBLCZvX/UbnawUwOpPMDvP1YF6GMpEAmHZEZriOWaras9oXOg8lAIbLHngZyZPgw5S4AdYgAsZFtiU7F3TtRpJwiyfsLqn+zHddcxSaYS48YfM5JNOOwgdhE3N6pQX7wwoYF3Gqexf19hWQtbvDCZFTrFmKKcLWZoh9Mlnna/ceeI7S+t9lwCwzcY3HldTbkMvyJlo8YzuKgR0FYEbp8lUGHeqtB5oV7+VMPZev2h3W7IZZXJs7tdYFlQqY/xdgAN9bGCGWQfNpAAAAAElFTkSuQmCC",
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"];
var pointSymbol = [
    "image://data:image/png;base64,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",
    "image://data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAA0AAAAgCAYAAADJ2fKUAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAAZdEVYdFNvZnR3YXJlAEFkb2JlIEltYWdlUmVhZHlxyWU8AAADKGlUWHRYTUw6Y29tLmFkb2JlLnhtcAAAAAAAPD94cGFja2V0IGJlZ2luPSLvu78iIGlkPSJXNU0wTXBDZWhpSHpyZVN6TlRjemtjOWQiPz4gPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iQWRvYmUgWE1QIENvcmUgNS42LWMwNjcgNzkuMTU3NzQ3LCAyMDE1LzAzLzMwLTIzOjQwOjQyICAgICAgICAiPiA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPiA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0iIiB4bWxuczp4bXA9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC8iIHhtbG5zOnhtcE1NPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvbW0vIiB4bWxuczpzdFJlZj0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL3NUeXBlL1Jlc291cmNlUmVmIyIgeG1wOkNyZWF0b3JUb29sPSJBZG9iZSBQaG90b3Nob3AgQ0MgMjAxNSAoTWFjaW50b3NoKSIgeG1wTU06SW5zdGFuY2VJRD0ieG1wLmlpZDowQzUxNDcxOUE3Q0IxMUU4QjM0REMzOTdCMkY4RDdEQyIgeG1wTU06RG9jdW1lbnRJRD0ieG1wLmRpZDowQzUxNDcxQUE3Q0IxMUU4QjM0REMzOTdCMkY4RDdEQyI+IDx4bXBNTTpEZXJpdmVkRnJvbSBzdFJlZjppbnN0YW5jZUlEPSJ4bXAuaWlkOjBDNTE0NzE3QTdDQjExRThCMzREQzM5N0IyRjhEN0RDIiBzdFJlZjpkb2N1bWVudElEPSJ4bXAuZGlkOjBDNTE0NzE4QTdDQjExRThCMzREQzM5N0IyRjhEN0RDIi8+IDwvcmRmOkRlc2NyaXB0aW9uPiA8L3JkZjpSREY+IDwveDp4bXBtZXRhPiA8P3hwYWNrZXQgZW5kPSJyIj8+Jjx60AAAAiRJREFUOE+NlV0vA0EUhmfbUooSRAQJTSQkxC/wE9z5+S64QlHfiqod7zMzZ7uLikkeMzt73nPememO7OVixpValqBZ70uEZiIC6olGoiYI/BTDBOPcRAQ3xbRgoiUQ5uJNvIh+Gg9NhGBWLIplsSSmBNkfxE3iUbwiwhqZCd4QHbEp5sRAXIpTcSa64hHfiCYEQWti19Uah26yfewmWkd6PhBbAhdUryOi4R+fVOu4rL6fNee3s8bMnp53xLpYEIhqJrKNaIsV5/NVJtVP6i+WWSNJcZSZCItUI5M2xDNWC0dDBTaJpCQvRNZ4bjifzjH2ZLdzCwfOgDfAmXB4H3FICz1z4VBFyGIiJkaiVMnHnm0vfg3Cm71yJQJQ8IeRiSxxRWQ2ZI8gvf9HJRMieo8CYiqiEDfOngI1NapEIt7/qGQiAgY6WETM/WmPCSAg2fMI3gWJxoqSNQJVxecI+IbKonBOtLI9RK+aUgLPh6dxqGYWf1QiY/xSvax5/6Txs0BIsrEiAhTsJfZ3GvO1UnGsCBvcB/ea6WtNfKn3ac4sFiJbDy+wo3shJ7gXx0FklSobQRbWwzp6OqJr9YBFEpGwIrL1RGvOXcnauXrsmejXSiYiCBE3EKJbYSLiKpWYNFHX5cOT0MdnWxNxlWuZu48Hg/sintkItt6biMbNw+VBD9wNWKYCsBH0RSWa/QMow8K/U6yJhl/7wWLLLnyemQ/rcc65L2HyP9eIbO1cAAAAAElFTkSuQmCC"];
items.forEach(el => {
    el.symbol = symbolList[el.level - 1];
});
const curveness = -0.2;
var dataArr = [
    [],
    [],
    []
]
items.forEach(el => {
    if (el.belong) {
        items.forEach(element =>{
            if(el.belong == element.name){
                dataArr[el.level - 1].push([{
                    coord: element.value,
                },
                {
                    coord: el.value
                }
            ])
            }
        })
    }
})
var seriesOne = [{
    type: "effectScatter",
    layout: "none",
    coordinateSystem: "cartesian2d",
    symbolSize: [20, 20],
    symbolOffset: [0, -10],
    z: 3,
    circular: {
        rotateLabel: true
    },
    label: {
        normal: {
            show: true,
            position: 'bottom',
            formatter: '{b}',
            fontSize: 10,
            color: "#fff",
            textBorderColor: "#2aa4e8",
            offset: [0, 20],
        }
    },
    itemStyle: {
        normal: {
            shadowColor: "none"
        }
    },
    data: items
}, ]
var lineSeries = []
dataArr.forEach((el, index) => {
    lineSeries.push({
        name: "",
        type: "lines",
        coordinateSystem: "cartesian2d",
        z: 1,
        effect: {
            show: true,
            smooth: false,
            trailLength: 0,
            symbol: pointSymbol[index],
            symbolSize: [5, 10],
            period: 1
        },

        lineStyle: {
            width: 2,
            color: lineColor[index],
            curveness: curveness
        },
        data: el
    })
})
var seriesData = seriesOne.concat(lineSeries)
option = {
    backgroundColor:'transparent',
    legend: [], 
	grid: {
        top: '0%',
        bottom: '15%',
        left: '0%',
        right: '-20%'
    },
    xAxis: {
        show: false,
        type: "value",
        max: 100,
        min: 0
    },
    yAxis: {
        show: false,
        type: "value",
        max: 100,
        min: 0
    },
    series: seriesData
};
	chart.setOption(option);
}

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