1
回答
echarts的多图联动,我按照官网上写的例子,但是我的出不来效果。请大家帮忙看下,谢谢啦
<html>

<head>

 <script src="js/esl.js"></script>
 </head> 
<body>
  		<div id="main" class="main" style='height:230px;margin-bottom:1px;padding-bottom:0;border-bottom-width:0'></div>
                <div id="main2" class="main" style='height:145px;margin-bottom:1px;padding:1px 10px;border-width:0 1px;'></div>
                <div id="main3" class="main" style='height:105px;padding-top:1px;border-top-width:0'></div>

</body>
<script type="text/javascript">  
           /* 
           * 按需加载 
           * 引入echart.js依赖的zrender.js, 再引入echart.js 
           */  
           require.config({  
               packages: [  
                   {  
                       name: 'zrender',  
                       location: 'zrender-2.1.0/src', // zrender与echarts在同一级目录  
                       main: 'zrender'  
                   },  
                   {  
                       name: 'echarts',  
                       location: 'echarts-2.2.7/src',  
                       main: 'echarts'  
                   }  
               ]  
           });  
         
       /***/  
	   var axisData = [
    "2013/1/24", "2013/1/25", "2013/1/28", "2013/1/29", "2013/1/30",
    "2013/1/31", "2013/2/1", "2013/2/4", "2013/2/5", "2013/2/6", 
    "2013/2/7", "2013/2/8", "2013/2/18", "2013/2/19", "2013/2/20", 
    "2013/2/21", "2013/2/22", "2013/2/25", "2013/2/26", "2013/2/27", 
    "2013/2/28", "2013/3/1", "2013/3/4", "2013/3/5", "2013/3/6", 
    "2013/3/7", "2013/3/8", "2013/3/11", "2013/3/12", "2013/3/13", 
    "2013/3/14", "2013/3/15", "2013/3/18", "2013/3/19", "2013/3/20", 
    "2013/3/21", "2013/3/22", "2013/3/25", "2013/3/26", "2013/3/27", 
    "2013/3/28", "2013/3/29", "2013/4/1", "2013/4/2", "2013/4/3", 
    "2013/4/8", "2013/4/9", "2013/4/10", "2013/4/11", "2013/4/12", 
    "2013/4/15", "2013/4/16", "2013/4/17", "2013/4/18", "2013/4/19", 
    "2013/4/22", "2013/4/23", "2013/4/24", "2013/4/25", "2013/4/26", 
    "2013/5/2", "2013/5/3", "2013/5/6", "2013/5/7", "2013/5/8", 
    "2013/5/9", "2013/5/10", "2013/5/13", "2013/5/14", "2013/5/15", 
    "2013/5/16", "2013/5/17", "2013/5/20", "2013/5/21", "2013/5/22", 
    "2013/5/23", "2013/5/24", "2013/5/27", "2013/5/28", "2013/5/29", 
    "2013/5/30", "2013/5/31", "2013/6/3", "2013/6/4", "2013/6/5", 
    "2013/6/6", "2013/6/7", "2013/6/13"
];

option = {
    title : {
        text: '2013年上半年上证指数'
    },
    tooltip : {
        trigger: 'axis',
        showDelay: 0,             // 显示延迟,添加显示延迟可以避免频繁切换,单位ms
        formatter: function (params) {
            var res = params[0].name;
            res += '<br/>' + params[0].seriesName;
            res += '<br/>  开盘 : ' + params[0].value[0] + '  最高 : ' + params[0].value[3];
            res += '<br/>  收盘 : ' + params[0].value[1] + '  最低 : ' + params[0].value[2];
            return res;
        }
    },
    legend: {
        data:['上证指数','成交金额(万)','虚拟数据']
    },
    toolbox: {
        show : true,
        feature : {
            mark : {show: true},
            dataZoom : {show: true},
            magicType : {show: true, type: ['line', 'bar']},
            restore : {show: true},
            saveAsImage : {show: true}
        }
    },
    dataZoom : {
        y: 250,
        show : true,
        realtime: true,
        start : 50,
        end : 100
    },
    grid: {
        x: 80,
        y: 40,
        x2:20,
        y2:25
    },
    xAxis : [
        {
            type : 'category',
            boundaryGap : true,
            axisTick: {onGap:false},
            splitLine: {show:false},
            data : axisData
        }
    ],
    yAxis : [
        {
            type : 'value',
            scale:true,
            boundaryGap: [0.05, 0.05],
            splitArea : {show : true}
        }
    ],
    series : [
        {
            name:'上证指数',
            type:'k',
            data:[ // 开盘,收盘,最低,最高
                [2320.26,2302.6,2287.3,2362.94],
                [2300,2291.3,2288.26,2308.38],
                [2295.35,2346.5,2295.35,2346.92],
                [2347.22,2358.98,2337.35,2363.8],
                [2360.75,2382.48,2347.89,2383.76],
                [2383.43,2385.42,2371.23,2391.82],
                [2377.41,2419.02,2369.57,2421.15],
                [2425.92,2428.15,2417.58,2440.38],
                [2411,2433.13,2403.3,2437.42],
                [2432.68,2434.48,2427.7,2441.73],
                [2430.69,2418.53,2394.22,2433.89],
                [2416.62,2432.4,2414.4,2443.03],
                [2441.91,2421.56,2415.43,2444.8],
                [2420.26,2382.91,2373.53,2427.07],
                [2383.49,2397.18,2370.61,2397.94],
                [2378.82,2325.95,2309.17,2378.82],
                [2322.94,2314.16,2308.76,2330.88],
                [2320.62,2325.82,2315.01,2338.78],
                [2313.74,2293.34,2289.89,2340.71],
                [2297.77,2313.22,2292.03,2324.63],
                [2322.32,2365.59,2308.92,2366.16],
                [2364.54,2359.51,2330.86,2369.65],
                [2332.08,2273.4,2259.25,2333.54],
                [2274.81,2326.31,2270.1,2328.14],
                [2333.61,2347.18,2321.6,2351.44],
                [2340.44,2324.29,2304.27,2352.02],
                [2326.42,2318.61,2314.59,2333.67],
                [2314.68,2310.59,2296.58,2320.96],
                [2309.16,2286.6,2264.83,2333.29],
                [2282.17,2263.97,2253.25,2286.33],
                [2255.77,2270.28,2253.31,2276.22],
                [2269.31,2278.4,2250,2312.08],
                [2267.29,2240.02,2239.21,2276.05],
                [2244.26,2257.43,2232.02,2261.31],
                [2257.74,2317.37,2257.42,2317.86],
                [2318.21,2324.24,2311.6,2330.81],
                [2321.4,2328.28,2314.97,2332],
                [2334.74,2326.72,2319.91,2344.89],
                [2318.58,2297.67,2281.12,2319.99],
                [2299.38,2301.26,2289,2323.48],
                [2273.55,2236.3,2232.91,2273.55],
                [2238.49,2236.62,2228.81,2246.87],
                [2229.46,2234.4,2227.31,2243.95],
                [2234.9,2227.74,2220.44,2253.42],
                [2232.69,2225.29,2217.25,2241.34],
                [2196.24,2211.59,2180.67,2212.59],
                [2215.47,2225.77,2215.47,2234.73],
                [2224.93,2226.13,2212.56,2233.04],
                [2236.98,2219.55,2217.26,2242.48],
                [2218.09,2206.78,2204.44,2226.26],
                [2199.91,2181.94,2177.39,2204.99],
                [2169.63,2194.85,2165.78,2196.43],
                [2195.03,2193.8,2178.47,2197.51],
                [2181.82,2197.6,2175.44,2206.03],
                [2201.12,2244.64,2200.58,2250.11],
                [2236.4,2242.17,2232.26,2245.12],
                [2242.62,2184.54,2182.81,2242.62],
                [2187.35,2218.32,2184.11,2226.12],
                [2213.19,2199.31,2191.85,2224.63],
                [2203.89,2177.91,2173.86,2210.58],
                [2170.78,2174.12,2161.14,2179.65],
                [2179.05,2205.5,2179.05,2222.81],
                [2212.5,2231.17,2212.5,2236.07],
                [2227.86,2235.57,2219.44,2240.26],
                [2242.39,2246.3,2235.42,2255.21],
                [2246.96,2232.97,2221.38,2247.86],
                [2228.82,2246.83,2225.81,2247.67],
                [2247.68,2241.92,2231.36,2250.85],
                [2238.9,2217.01,2205.87,2239.93],
                [2217.09,2224.8,2213.58,2225.19],
                [2221.34,2251.81,2210.77,2252.87],
                [2249.81,2282.87,2248.41,2288.09],
                [2286.33,2299.99,2281.9,2309.39],
                [2297.11,2305.11,2290.12,2305.3],
                [2303.75,2302.4,2292.43,2314.18],
                [2293.81,2275.67,2274.1,2304.95],
                [2281.45,2288.53,2270.25,2292.59],
                [2286.66,2293.08,2283.94,2301.7],
                [2293.4,2321.32,2281.47,2322.1],
                [2323.54,2324.02,2321.17,2334.33],
                [2316.25,2317.75,2310.49,2325.72],
                [2320.74,2300.59,2299.37,2325.53],
                [2300.21,2299.25,2294.11,2313.43],
                [2297.1,2272.42,2264.76,2297.1],
                [2270.71,2270.93,2260.87,2276.86],
                [2264.43,2242.11,2240.07,2266.69],
                [2242.26,2210.9,2205.07,2250.63],
                [2190.1,2148.35,2126.22,2190.1]
            ]
        },
        {
            name:'成交金额(万)',
            type:'line',
            symbol: 'none',
            data:[]
        },
        {
            name:'虚拟数据',
            type:'bar',data:[]
        }
        
    ]
};

option2 = {
    tooltip : {
        trigger: 'axis',
        showDelay: 0             // 显示延迟,添加显示延迟可以避免频繁切换,单位ms
    },
    legend: {
        y : -30,
        data:['上证指数','成交金额(万)','虚拟数据']
    },
    toolbox: {
        y : -30,
        show : true,
        feature : {
            mark : {show: true},
            dataZoom : {show: true},
            dataView : {show: true, readOnly: false},
            magicType : {show: true, type: ['line', 'bar']},
            restore : {show: true},
            saveAsImage : {show: true}
        }
    },
    dataZoom : {
        show : true,
        realtime: true,
        start : 50,
        end : 100
    },
    grid: {
        x: 80,
        y:5,
        x2:20,
        y2:40
    },
    xAxis : [
        {
            type : 'category',
            position:'top',
            boundaryGap : true,
            axisLabel:{show:false},
            axisTick: {onGap:false},
            splitLine: {show:false},
            data : axisData
        }
    ],
    yAxis : [
        {
            type : 'value',
            scale:true,
            splitNumber: 3,
            boundaryGap: [0.05, 0.05],
            axisLabel: {
                formatter: function (v) {
                    return Math.round(v/10000) + ' 万'
                }
            },
            splitArea : {show : true}
        }
    ],
    series : [
        {
            name:'成交金额(万)',
            type:'line',
            symbol: 'none',
            data:[
                13560434, 8026738.5, 11691637, 12491697, 12485603, 
                11620504, 12555496, 15253370, 12709611, 10458354, 
                10933507, 9896523, 10365702, 10633095, 9722230, 
                12662783, 8757982, 7764234, 10591719, 8826293, 
                11591827, 11153111, 14304651, 11672120, 12536480, 
                12608589, 8843860, 7391994.5, 10063709, 7768895.5, 
                6921859, 10157810, 8148617.5, 7551207, 11397426, 
                10478607, 8595132, 8541862, 9181132, 8570842, 
                10759351, 7335819, 6699753.5, 7759666.5, 6880135.5, 
                7366616.5, 7313504, 7109021.5, 6213270, 5619688, 
                5816217.5, 6695584.5, 5998655.5, 6188812.5, 9538301,
                8224500, 8221751.5, 7897721, 8448324, 6525151, 
                5987761, 7831570, 8162560.5, 7904092, 8139084.5, 
                9116529, 8128014, 7919148, 7566047, 6665826.5, 
                10225527, 11124881, 12884353, 11302521, 11529046, 
                11105205, 9202153, 9992016, 12035250, 11431155, 
                10354677, 10070399, 9164861, 9237718, 7114268, 
                7526158.5, 8105835, 7971452.5
            ],
            markLine : {
                symbol : 'none',
                itemStyle : {
                    normal : {
                        color:'#1e90ff',
                        label : {
                            show:false
                        }
                    }
                },
                data : [
                    {type : 'average', name: '平均值'}
                ]
            }
        }
    ]
};
myChart2 = echarts.init(document.getElementById('main2'));
myChart2.setOption(option2);

option3 = {
    tooltip : {
        trigger: 'axis',
        showDelay: 0             // 显示延迟,添加显示延迟可以避免频繁切换,单位ms
    },
    legend: {
        y : -30,
        data:['上证指数','成交金额(万)','虚拟数据']
    },
    toolbox: {
        y : -30,
        show : true,
        feature : {
            mark : {show: true},
            dataZoom : {show: true},
            dataView : {show: true, readOnly: false},
            magicType : {show: true, type: ['line', 'bar']},
            restore : {show: true},
            saveAsImage : {show: true}
        }
    },
    dataZoom : {
        y:200,
        show : true,
        realtime: true,
        start : 50,
        end : 100
    },
    grid: {
        x: 80,
        y:5,
        x2:20,
        y2:30
    },
    xAxis : [
        {
            type : 'category',
            position:'bottom',
            boundaryGap : true,
            axisTick: {onGap:false},
            splitLine: {show:false},
            data : axisData
        }
    ],
    yAxis : [
        {
            type : 'value',
            scale:true,
            splitNumber:3,
            boundaryGap: [0.05, 0.05],
            axisLabel: {
                formatter: function (v) {
                    return Math.round(v/10000) + ' 万'
                }
            },
            splitArea : {show : true}
        }
    ],
    series : [
        {
            name:'虚拟数据',
            type:'bar',
            symbol: 'none',
            data:[
                560434, 226738, 696370, 249697, 248563, 
                620504, 555496, 525337, 270968, 458354, 
                933507, 896523, 365702, 633095, 722230, 
                662783, 875798, 776423, 105979, 882629, 
                598278, 231253, 430465, 672208, 253648, 
                608589, 884386, 739994, 263709, 776889, 
                692859, 105780, 848675, 755207, 397426, 
                478607, 859532, 854862, 983288, 857084, 
                759358, 733589, 669975, 775965, 688035, 
                736666, 733504, 709025, 623270, 569688, 
                586275, 669558, 599865, 688825, 953830,
                822450, 822755, 789772, 844832, 652558, 
                598776, 783570, 862560, 794092, 839084, 
                965298, 828048, 799480, 756647, 665826, 
                102257, 248870, 288435, 302528, 529046, 
                105205, 920253, 999206, 203525, 435588, 
                103546, 703990, 964868, 923778, 742688,
                752658, 805835, 797452
            ],
            markLine : {
                symbol : 'none',
                itemStyle : {
                    normal : {
                        color:'#1e90ff',
                        label : {
                            show:false
                        }
                    }
                },
                data : [
                    {type : 'average', name: '平均值'}
                ]
            }
        }
    ]
};
myChart3 = echarts.init(document.getElementById('main3'));
myChart3.setOption(option3);

myChart.connect([myChart2, myChart3]);
myChart2.connect([myChart, myChart3]);
myChart3.connect([myChart, myChart2]);
 /* 
           *按需加载 
           */  
           require(  
                [  
                    'echarts',  
                    'echarts/chart/line',  
                    'echarts/chart/bar'  
                ],  
                //渲染ECharts图表  
                function DrawEChart(ec) {  
                    //图表渲染的容器对象  
                    var chartContainer = document.getElementById("main");  
                    //加载图表  
                    var myChart = ec.init(chartContainer);  
                    myChart.setOption(option);  
					 window.onresize = function () {
        myChart.resize();
        myChart2.resize();
        myChart3.resize();
    }
                }  
            ); 
			
			
        </script>  

</html>
 


举报
共有1个答案 最后回答: 3年前

看上去,你的应该是echart类库没有加载进来。给你一个例子:

<!DOCTYPE html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
</head>
<body>
    <!-- 为ECharts准备一个具备大小(宽高)的Dom -->
    <div id="main1" style="height:200px"></div>
    <div id="main2" style="height:200px"></div>
    <div id="main3" style="height:200px"></div>
    <div id="main4" style="height:200px"></div>
    <!-- ECharts单文件引入 -->
    <script src="http://echarts.baidu.com/build/dist/echarts.js"></script>
    <script type="text/javascript">
        // 路径配置
        require.config({
            paths: {
                echarts: 'http://echarts.baidu.com/build/dist'
            }
        });
        
        // 使用
        require(
            [
                'echarts',
                'echarts/chart/bar', // 使用柱状图就加载bar模块,按需加载
                'echarts/chart/line'
            ],
            function (ec) {
                // 基于准备好的dom,初始化echarts图表
                var myChart1 = ec.init(document.getElementById('main1')); 
                var myChart2 = ec.init(document.getElementById('main2')); 
                var myChart3 = ec.init(document.getElementById('main3')); 
                var myChart4 = ec.init(document.getElementById('main4')); 

                myChart1.setTheme("macarons");
                myChart2.setTheme("macarons");
                myChart3.setTheme("macarons");
                myChart4.setTheme("macarons");
                
                var option1 = {
                    title : {
                        text: '温度状况',
                        subtext: '纯属虚构'
                    },
                    tooltip : {
                        trigger: 'axis'
                    },
                    legend: {
                        data:['设定温度','进水温度','出水温度','环境温度']
                    },
                    toolbox: {
                        show : true,
                        feature : {
                            mark : {show: true},
                            dataView : {show: true, readOnly: false},
                            magicType : {show: true, type: ['line', 'bar', 'stack', 'tiled']},
                            restore : {show: true},
                            saveAsImage : {show: true}
                        }
                    },
                    xAxis : [
                        {
                            type : 'category', //x轴为类目类型
                            axisLabel:{
                                show:true,
                                interval:0,
                                rotate:45
                            },
                            data : ['00:00:00','00:05:00','00:10:00','00:15:00','00:20:00','00:25:00','00:30:00','00:35:00','00:40:00','00:45:00']

                    }],
                    yAxis : [
                        {
                            type : 'value'  //y轴为值类型
                        }
                    ],
                    series : [{  
                        name:'设定温度',
                        type:'line',
                        smooth:true,
                        data:[55,55,55,55,55,55,55,55,55,55]
                    }]
                }

            var option2 = {
                    tooltip : {
                        trigger: 'axis'
                    },
                    legend: {
                        y:-30,
                        data:['设定温度','进水温度','出水温度','环境温度']
                    },
                    toolbox: {
                        y : -30,
                        show : true,
                        feature : {
                            mark : {show: true},
                            dataView : {show: true, readOnly: false},
                            magicType : {show: true, type: ['line', 'bar', 'stack', 'tiled']},
                            restore : {show: true},
                            saveAsImage : {show: true}
                        }
                    },
                    xAxis : [
                        {
                            type : 'category', //x轴为类目类型
                            axisLabel:{
                                show:true,
                                interval:0,
                                rotate:45
                            },
                            data : ['00:00:00','00:05:00','00:10:00','00:15:00','00:20:00','00:25:00','00:30:00','00:35:00','00:40:00','00:45:00']

                    }],
                    yAxis : [
                        {
                            type : 'value'  //y轴为值类型
                        }
                    ],
                    series : [{  
                        name:'进水温度',
                        type:'line',
                        smooth:true,
                        data:[15,15,16,18,18,19,19,19,19,19]
                    }]
                }

            var option3 = {
                    tooltip : {
                        trigger: 'axis'
                    },
                    legend: {
                        y : -30,
                        data:['设定温度','进水温度','出水温度','环境温度']
                    },
                    toolbox: {
                        y : -30,
                        show : true,
                        feature : {
                            mark : {show: true},
                            dataView : {show: true, readOnly: false},
                            magicType : {show: true, type: ['line', 'bar', 'stack', 'tiled']},
                            restore : {show: true},
                            saveAsImage : {show: true}
                        }
                    },
                    xAxis : [
                        {
                            type : 'category', //x轴为类目类型
                            axisLabel:{
                                show:true,
                                interval:0,
                                rotate:45
                            },
                            data : ['00:00:00','00:05:00','00:10:00','00:15:00','00:20:00','00:25:00','00:30:00','00:35:00','00:40:00','00:45:00']

                    }],
                    yAxis : [
                        {
                            type : 'value'  //y轴为值类型
                        }
                    ],
                    series : [{  
                        name:'出水温度',
                        type:'line',
                        smooth:true,
                        data:[20,25,30,35,38,44,46,48,53,56]
                    }]
                }

            var option4 = {
                    tooltip : {
                        trigger: 'axis'
                    },
                    legend: {
                        y : -30,
                        data:['设定温度','进水温度','出水温度','环境温度']
                    },
                    toolbox: {
                        y : -30,
                        show : true,
                        feature : {
                            mark : {show: true},
                            dataView : {show: true, readOnly: false},
                            magicType : {show: true, type: ['line', 'bar', 'stack', 'tiled']},
                            restore : {show: true},
                            saveAsImage : {show: true}
                        }
                    },
                    xAxis : [
                        {
                            type : 'category', //x轴为类目类型
                            axisLabel:{
                                show:true,
                                interval:0,
                                rotate:45
                            },
                            data : ['00:00:00','00:05:00','00:10:00','00:15:00','00:20:00','00:25:00','00:30:00','00:35:00','00:40:00','00:45:00']

                    }],
                    yAxis : [
                        {
                            type : 'value'  //y轴为值类型
                        }
                    ],
                    series : [{  
                        name:'环境温度',
                        type:'line',
                        smooth:true,
                        data:[15,15,15,15,15,15,15,15,15,15]
                    }]
                }

            // 为echarts对象加载数据 
            myChart1.setOption(option1); 
            myChart2.setOption(option2);
            myChart3.setOption(option3);
            myChart4.setOption(option4);
            //联动配置
            myChart1.connect([myChart2, myChart3,myChart4]);
            myChart2.connect([myChart1, myChart3,myChart4]);
            myChart3.connect([myChart2, myChart1,myChart4]);
            myChart4.connect([myChart2, myChart3,myChart1]);
            }
        );
    </script>
</body>



使用联动的时候,需要注意:

(1)x轴的类目每个图表要一致

(2)x轴为category类型,y轴为value类型


--- 共有 1 条评论 ---
简简单单生活@莫铭 真的非常谢谢你啊。212121 3年前 回复
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