初识echarts

show一个demo而已

aaarticlea/png;base64,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" alt="" />

<!DOCTYPE html>

<html lang="en">

<head>

    <meta charset="utf-8">

    <title>statistics step</title>

</head>

<body>

<hr>

<p>模型简述:统计男生，女生在周一至周五所走的步数<br>

数据是（1000-2000）的随机数

</p>

<button id="girlBut">GIRL</button> <span style="margin:5px 10px"></span> <button id="boyBut">BOY</button>

<hr>

    <!--Step:1 Prepare a dom for ECharts which (must) has size (width & hight)-->

    <!--Step:1 为ECharts准备一个具备大小（宽高）的Dom-->

    <div id="main" style="height:500px;border:1px solid #ccc;padding:10px;"></div>

    <!--  jquery js  -->

    <script type="text/javascript" src="./jquery-1.12.1.js"></script>

    <!--Step:2 Import echarts.js-->

    <!--Step:2 引入echarts.js-->

    <script src="../source/echarts.js"></script>

    <script type="text/javascript">

    //start-------------------------------------

      //全局变量

    var charts = {

            girlBar:[0,0,0,0,0],

            boyBar:[0,0,0,0,0]

    }

    var setTime;

    var setTime2;

    var i1 = 5;

    var i2 = 5;

    var myChart;

    $(function(){

        //console.log(122434);

   $("#girlBut").click(function(){

       //每次点击之后先画一个空的表

       charts.girlBar = [0,0,0,0,0];

       myChart.setSeries([{data:charts.girlBar},{data:charts.boyBar}]);

       charts.girlBar = [];

       setTimeDrawGirlbar(5);

       console.log("执行完之后打印数组");

       console.log(charts.girlBar);

   });

   $("#boyBut").click(function(){

       //每次点击之后先画一个空的表

       charts.boyBar = [0,0,0,0,0];

       myChart.setSeries([{data:charts.girlBar},{data:charts.boyBar}]);

       charts.boyBar = [];

       setTimeDrawBoybar(5);

   });

    })

    /**定时画一个柱子

    **/

    function setTimeDrawGirlbar(i)

    {

        console.log("girls---start");

        console.log(charts.girlBar);

        console.log(charts.boyBar);

        console.log("girls---end");

        //这里用的是全局变量，思维上可能和局部的不一样

        //获得一个1000-2000的数字

        var random = (new Date()).getTime()%1997;

        random = random < 1000 ? (1000 + random) : random;

        //每一次画之前

         charts.girlBar.push(random);

        myChart.setSeries([{data:charts.girlBar},{data:charts.boyBar}]);

        if(i1>1)

            {

console.log(i);

            setTime = setTimeout('setTimeDrawGirlbar('+i1+')', 2000);

            i1--;

            }

        else

            {

            i1=5;

            clearTimeout(setTime);

            }

    }

    function setTimeDrawBoybar(i)

    {

        console.log("boy---start");

        console.log(charts.girlBar);

        console.log(charts.boyBar);

        console.log("boy---end");

        //这里用的是全局变量，思维上可能和局部的不一样

        //获得一个1000-2000的数字

        var random = (new Date()).getTime()%1997;

        random = random < 1000 ? (1000 + random) : random;

        charts.boyBar.push(random);

        myChart.setSeries([{data:charts.girlBar},{data:charts.boyBar}]);

        if(i2>1)

            {

            setTime2 = setTimeout('setTimeDrawBoybar('+i2+')', 2000);

            i2--

            }

        else

            {

            i2=5;

            clearTimeout(setTime2);

            }

    }

    //end--------------------------------------

    // Step:3 conifg ECharts's path, link to echarts.js from current page.

    // Step:3 为模块加载器配置echarts的路径，从当前页面链接到echarts.js，定义所需图表路径

    require.config({

        paths: {

            echarts: '../source'

        }

    });

    // Step:4 require echarts and use it in the callback.

    // Step:4 动态加载echarts然后在回调函数中开始使用，注意保持按需加载结构定义图表路径

    require(

        [

            'echarts',

            'echarts/chart/bar'

        ],

        function (ec) {

            //--- 折柱 ---

            myChart = ec.init(document.getElementById('main'));

            var options = {

                    tooltip : {

                        trigger: 'axis'

                    },

                    legend: {

                        data:['GIRL','BOY']

                    },

                    toolbox: {

                        show : true,

                        feature : {

                            mark : {show: true},

                            dataView : {show: true, readOnly: false},

                            magicType : {show: true, type: ['line', 'bar']},

                            restore : {show: true},

                            saveAsImage : {show: true}

                        }

                    },

                    calculable : true,

                    xAxis : [

                        {

                            type : 'category',

                            data : ['MON','TWE','WED','THU','FRI']

                        }

                    ],

                    yAxis : [

                        {

                            type : 'value',

                            splitArea : {show : true}

                        }

                    ],

                    series : [

                        {

                            name:'GIRL',

                            type:'bar',

                            data:charts.girlBar

                        },

                        {

                            name:'BOY',

                            type:'bar',

                            data:charts.boyBar

                        }

                    ]

                }

            myChart.setOption(options);

        }

    );

    </script>

</body>

</html>

核心的就是这些了，这个东西很早就做出来了，趁着整理博客发出来

巴特西

初识echarts

最新文章

热门文章