集腋成裘-08-ECharts -HelloECharts-02

其他 2018-12-24 00:41:25 阅读次数: 0

上一篇我们讲了可视化数据分析的重要性以及ECharts的一些的特性，这一篇我们继续学习一下ECharts的简单Demo

一：5 分钟上手 ECharts

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div id="main" style="width: 600px;height:400px;"></div>
    <script type="text/javascript">
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));
        // 指定图表的配置项和数据
        var option = {
            title: {
                text: 'ECharts 入门示例'
            },
            tooltip: {},
            legend: {
                data:['销量']
            },
            xAxis: {
                data: ["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]
            },
            yAxis: {},
            series: [{
                name: '销量',
                type: 'bar',
                data: [5, 20, 36, 10, 10, 20]
            }]
        };

        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);
    </script>
</body>
</html>
标签式单文件引入

二、接下来进一步介绍一下配置项

1：title配置项 

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div id="main" style="width: 600px;height:400px;"></div>
    <script type="text/javascript">
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));
        // 指定图表的配置项和数据
        var option = {
            title: {
                text: 'ECharts 入门示例',
                //设置标题链接
                link:'http://www.echartsjs.com',
                //设置副标题
                subtext:'ECharts 副标题',
                //设置标题位置
                right:10,
                //设置边框 
                borderWidth:2,
                borderColor:'#e70012',
                borderRadius:4,

            },
            tooltip: {},
            legend: {
                data:['销量']
            },
            xAxis: {
                data: ["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]
            },
            yAxis: {},
            series: [{
                name: '销量',
                type: 'bar',
                data: [5, 20, 36, 10, 10, 20]
            }]
        };

        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);
    </script>
</body>
</html>
标题配置项

2：toolbox配置项 （　2：数据视图 + 3：动态类型切换 + 5：数据区域缩放）

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div id="main" style="width: 600px;height:400px;"></div>
    <script type="text/javascript">
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));
        // 指定图表的配置项和数据
        var option = {
            title: {
                text: 'ECharts 入门示例',
                //设置标题链接
                link:'http://www.echartsjs.com',
                //设置副标题
                subtext:'ECharts 副标题',
                //设置标题位置
                left:10,
                //设置边框 
                borderWidth:2,
                borderColor:'#e70012',
                borderRadius:4,

            },
            toolbox: {
                show:true,
                feature:{
                    //保存图片功能
                    saveAsImage:{
                        show:true,
                    },
                    //复原
                    restore:{show:true},
                    //数据视图：满足用户对于原始数据进行操作的需求
                    dataView:{show:true},
                    //数据区域缩放：聚焦到你所关心的区域上
                    dataZoom:{show:true},
                    //动态类型切换，尝试不同类型的图表表现形式
                    magicType:{show:true,type:['line','bar',],}


                }

            },
            tooltip: {},
            legend: {
                data:['销量']
            },
            xAxis: {
                data: ["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]
            },
            yAxis: {},
            series: [{
                name: '销量',
                type: 'bar',
                data: [5, 20, 36, 10, 10, 20]
            }]
        };

        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);
    </script>
</body>
</html>
工具栏配置项

3：tooltip配置项  

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div id="main" style="width: 600px;height:400px;"></div>
    <script type="text/javascript">
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));
        // 指定图表的配置项和数据
        var option = {
            title: {
                text: 'ECharts 入门示例',
                //设置标题链接
                link:'http://www.echartsjs.com',
                //设置副标题
                subtext:'ECharts 副标题',
                //设置标题位置
                left:10,
                //设置边框 
                borderWidth:2,
                borderColor:'#e70012',
                borderRadius:4,

            },
            toolbox: {
                show:true,
                feature:{
                    //保存图片功能
                    saveAsImage:{
                        show:true,
                    },
                    //复原
                    restore:{show:true},
                    //数据视图：满足用户对于原始数据进行操作的需求
                    dataView:{show:true},
                    //数据区域缩放：聚焦到你所关心的区域上
                    dataZoom:{show:true},
                    //动态类型切换，尝试不同类型的图表表现形式
                    magicType:{show:true,type:['line','bar',],}
                }

            },
            tooltip: {
                //触发类型
                trigger:'axis',
                //设置背景色
                backgroundColor:"#fff",
                //设置提示窗中字体颜色
                textStyle:{
                    color:"#e70012",
                },

            },
            legend: {
                data:['销量']
            },
            xAxis: {
                data: ["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]
            },
            yAxis: {},
            series: [{
                name: '销量',
                type: 'bar',
                data: [5, 20, 36, 10, 10, 20]
            }]
        };

        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);
    </script>
</body>
</html>
提示框设置

4：markPoint和markLine配置项   

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div id="main" style="width: 600px;height:400px;"></div>
    <script type="text/javascript">
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));
        // 指定图表的配置项和数据
        var option = {
            title: {
                text: 'ECharts 入门示例',
                //设置标题链接
                link:'http://www.echartsjs.com',
                //设置副标题
                subtext:'ECharts 副标题',
                //设置标题位置
                left:10,
                //设置边框 
                borderWidth:2,
                borderColor:'#e70012',
                borderRadius:4,

            },
            toolbox: {
                show:true,
                feature:{
                    //保存图片功能
                    saveAsImage:{
                        show:true,
                    },
                    //复原
                    restore:{show:true},
                    //数据视图：满足用户对于原始数据进行操作的需求
                    dataView:{show:true},
                    //数据区域缩放：聚焦到你所关心的区域上
                    dataZoom:{show:true},
                    //动态类型切换，尝试不同类型的图表表现形式
                    magicType:{show:true,type:['line','bar',],}
                }

            },
            tooltip: {
                //触发类型
                trigger:'axis',
                //设置背景色
                backgroundColor:"#fff",
                //设置提示窗中字体颜色
                textStyle:{
                    color:"#e70012",
                },

            },
            legend: {
                data:['销量']
            },
            xAxis: {
                data: ["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]
            },
            yAxis: {},
            series: [{
                name: '销量',
                type: 'bar',
                data: [5, 20, 36, 10, 10, 20],
                markPoint:{
                    data:[
                    {type:'max',name:'最大值'},
                    {type:'min',name:'最大值',symbol:'circle',symbolSize:20,symbolRotate:10},
                    ]
                },
                markLine:{
                    data:[
                    {type:'average',name:'平均值'}
                    ]
                }
            }]
        };

        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);
    </script>
</body>
</html>
标记点和标记线的配置

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 5：饼状图

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div id="main" style="width: 600px;height:400px;"></div>
    <script type="text/javascript">
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));
        // 指定图表的配置项和数据
        var option = {
            title: {
                text: 'ECharts 入门示例',
                //设置标题链接
                link:'http://www.echartsjs.com',
                //设置副标题
                subtext:'ECharts 副标题',
                //设置标题位置
                left:200,
                //设置边框 
                borderWidth:2,
                borderColor:'#e70012',
                borderRadius:4,

            },
            toolbox: {
                show:true,
                feature:{
                    //保存图片功能
                    saveAsImage:{
                        show:true,
                    },
                    //复原
                    restore:{show:true},
                    //数据视图：满足用户对于原始数据进行操作的需求
                    dataView:{show:true},
                    //数据区域缩放：聚焦到你所关心的区域上
                    //dataZoom:{show:true},
                    //动态类型切换，尝试不同类型的图表表现形式
                    //magicType:{show:true,type:['line','bar',],}
                }

            },
            tooltip: {
                //触发类型,注意此处与条形图不同
                trigger:'item',
                //饼图、仪表盘、漏斗图: {a}（系列名称），{b}（数据项名称），{c}（数值）, {d}（百分比）
                formatter:"{a}<br/>{b} ：{c} ({d}%)"

            },
            legend: {
                //图例
                //图例列表的布局朝向。
                orient:'vertical',
                left:'left',
                data: ["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]
            },
           
            series: [{
                name: '销量',
                type: 'pie',
                radius:'55%',
                center:['50%','60%'],
                data: [
                    {value:5, name:'衬衫'},
                    {value:20,name:'羊毛衫'},
                    {value:36,name:'雪纺衫'},
                    {value:10,name:'裤子'},
                    {value:10,name:'高跟鞋'},
                    {value:20,name:'袜子'},
                ],
                itemStyle:{
                    //高亮的扇区和标签样式。
                    emphasis:{
                        shadowBlur:10,
                        shadowOffsetX:0,
                        shadowColor:'rgba(0,0,0,0.5)'
                    }
                }
               
            }]
        };

        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);
    </script>
</body>
</html>
饼状图

6：仪表图

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div id="main" style="width: 600px;height:400px;"></div>
    <script type="text/javascript">
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));
        // 指定图表的配置项和数据
        var option = {
            title: {
                text: 'ECharts 入门示例',
                //设置标题链接
                link:'http://www.echartsjs.com',
                //设置副标题
                subtext:'ECharts 副标题',
                //设置标题位置
                left:10,
                //设置边框 
                borderWidth:2,
                borderColor:'#e70012',
                borderRadius:4,

            },
            toolbox: {
                show:true,
                feature:{
                    //保存图片功能
                    saveAsImage:{
                        show:true,
                    },
                    //复原
                    restore:{show:true},
                }

            },
            tooltip: {
                formatter:"{a}<br/>{b} ：{c}%"
            },
            legend: {
                data:['销量']
            },
            
            series: [{
                name: '销量',
                type: 'gauge',
                data: [{value:50,name:'销售量'}],
                
            }]
        };

        // 使用刚指定的配置项和数据显示图表。
        setInterval(function(){
            option.series[0].data[0].value=(Math.random()*100).toFixed(2)-0;
            myChart.setOption(option,true);
        },2000)
    </script>
</body>
</html>
仪表图

7：地图

(function (root, factory) {
    if (typeof define === 'function' && define.amd) {
        // AMD. Register as an anonymous module.
        define(['exports', 'echarts'], factory);
    } else if (typeof exports === 'object' && typeof exports.nodeName !== 'string') {
        // CommonJS
        factory(exports, require('echarts'));
    } else {
        // Browser globals
        factory({}, root.echarts);
    }
}(this, function (exports, echarts) {
    var log = function (msg) {
        if (typeof console !== 'undefined') {
            console && console.error && console.error(msg);
        }
    }
    if (!echarts) {
        log('ECharts is not Loaded');
        return;
    }
    if (!echarts.registerMap) {
        log('ECharts Map is not loaded')
        return;
    }
    echarts.registerMap('china', 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china.js 
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            '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]
            };
            //北京数据
            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}]
            ];
            //上海数据
            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}]
            ];
            //广州数据
            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}]
            ];
            //飞机路径
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';
//把上面的格式转成echarts需要的格式
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])
            };
        })
    });
});

option = {
    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: 'single'
    },
    geo: {
        map: 'china',
        label: {
            emphasis: {
                show: false
            }
        },
        roam: true,
        itemStyle: {
            normal: {
                areaColor: '#323c48',
                borderColor: '#404a59'
            },
            emphasis: {
                areaColor: '#2a333d'
            }
        }
    },
    series: series
};
myChart.setOption(option);
    </script>
</body>
</html>
百度迁徙

8：散点图（气泡图）

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div id="main" style="width: 600px;height:400px;"></div>
    <script type="text/javascript">
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));
        var data = [
        [[28604,77,17096869,'Australia',1990],[31163,77.4,27662440,'Canada',1990],[1516,68,1154605773,'China',1990],[13670,74.7,10582082,'Cuba',1990],[28599,75,4986705,'Finland',1990],[29476,77.1,56943299,'France',1990],[31476,75.4,78958237,'Germany',1990],[28666,78.1,254830,'Iceland',1990],[1777,57.7,870601776,'India',1990],[29550,79.1,122249285,'Japan',1990],[2076,67.9,20194354,'North Korea',1990],[12087,72,42972254,'South Korea',1990],[24021,75.4,3397534,'New Zealand',1990],[43296,76.8,4240375,'Norway',1990],[10088,70.8,38195258,'Poland',1990],[19349,69.6,147568552,'Russia',1990],[10670,67.3,53994605,'Turkey',1990],[26424,75.7,57110117,'United Kingdom',1990],[37062,75.4,252847810,'United States',1990]],
        [[44056,81.8,23968973,'Australia',2015],[43294,81.7,35939927,'Canada',2015],[13334,76.9,1376048943,'China',2015],[21291,78.5,11389562,'Cuba',2015],[38923,80.8,5503457,'Finland',2015],[37599,81.9,64395345,'France',2015],[44053,81.1,80688545,'Germany',2015],[42182,82.8,329425,'Iceland',2015],[5903,66.8,1311050527,'India',2015],[36162,83.5,126573481,'Japan',2015],[1390,71.4,25155317,'North Korea',2015],[34644,80.7,50293439,'South Korea',2015],[34186,80.6,4528526,'New Zealand',2015],[64304,81.6,5210967,'Norway',2015],[24787,77.3,38611794,'Poland',2015],[23038,73.13,143456918,'Russia',2015],[19360,76.5,78665830,'Turkey',2015],[38225,81.4,64715810,'United Kingdom',2015],[53354,79.1,321773631,'United States',2015]]
        ];

        // 指定图表的配置项和数据
        var option = {
              backgroundColor: new echarts.graphic.RadialGradient(0.3, 0.3, 0.8, [{
                    offset: 0,
                    color: '#f7f8fa'
                }, {
                    offset: 1,
                    color: '#cdd0d5'
                }]),
                
            title: {
                text: '1990 与 2015 年各国家人均寿命与 GDP'
            },
            toolbox: {
                show:true,
                feature:{
                    //保存图片功能
                    saveAsImage:{
                        show:true,
                    },
                    //复原
                    restore:{show:true},
                }

            },
            tooltip: {
                formatter:"{a}<br/>{b} ：{c}%"
            },
            legend: {
                right:100,
                data:['1990','2015']
            },
            
            xAxis:{
                splitLine:{
                    lineStyle:{
                        type:'dotted'
                    }
                }
            },
            yAxis:{
                splitLine:{
                    lineStyle:{
                        type:'dashed'
                    }
                },
                scale:true
            },
            series:[{
        name: '1990',
        data: data[0],
        type: 'scatter',
        symbolSize: function (data) {
            return Math.sqrt(data[2]) / 5e2;
        },
        label: {
            emphasis: {
                show: true,
                formatter: function (param) {
                    return param.data[3];
                },
                position: 'top'
            }
        },
        itemStyle: {
            normal: {
                shadowBlur: 10,
                shadowColor: 'rgba(120, 36, 50, 0.5)',
                shadowOffsetY: 5,
                color: new echarts.graphic.RadialGradient(0.4, 0.3, 1, [{
                    offset: 0,
                    color: 'rgb(251, 118, 123)'
                }, {
                    offset: 1,
                    color: 'rgb(204, 46, 72)'
                }])
            }
        }
    }, {
        name: '2015',
        data: data[1],
        type: 'scatter',
        symbolSize: function (data) {
            return Math.sqrt(data[2]) / 5e2;
        },
        label: {
            emphasis: {
                show: true,
                formatter: function (param) {
                    return param.data[3];
                },
                position: 'top'
            }
        },
        itemStyle: {
            normal: {
                shadowBlur: 10,
                shadowColor: 'rgba(25, 100, 150, 0.5)',
                shadowOffsetY: 5,
                color: new echarts.graphic.RadialGradient(0.4, 0.3, 1, [{
                    offset: 0,
                    color: 'rgb(129, 227, 238)'
                }, {
                    offset: 1,
                    color: 'rgb(25, 183, 207)'
                }])
            }
        }
    }]
        };

        // 使用刚指定的配置项和数据显示图表。
      myChart.setOption(option,true);
    </script>
</body>
</html>
散点图

9：K线图

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div id="main" style="width: 600px;height:400px;"></div>
    <script type="text/javascript">
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));
        // 指定图表的配置项和数据
       var upColor = '#ec0000';
var upBorderColor = '#8A0000';
var downColor = '#00da3c';
var downBorderColor = '#008F28';


// 数据意义：开盘(open)，收盘(close)，最低(lowest)，最高(highest)
var data0 = splitData([
    ['2013/1/24', 2320.26,2320.26,2287.3,2362.94],
    ['2013/1/25', 2300,2291.3,2288.26,2308.38],
    ['2013/1/28', 2295.35,2346.5,2295.35,2346.92],
    ['2013/1/29', 2347.22,2358.98,2337.35,2363.8],
    ['2013/1/30', 2360.75,2382.48,2347.89,2383.76],
    ['2013/1/31', 2383.43,2385.42,2371.23,2391.82],
    ['2013/2/1', 2377.41,2419.02,2369.57,2421.15],
    ['2013/2/4', 2425.92,2428.15,2417.58,2440.38],
    ['2013/2/5', 2411,2433.13,2403.3,2437.42],
    ['2013/2/6', 2432.68,2434.48,2427.7,2441.73],
    ['2013/2/7', 2430.69,2418.53,2394.22,2433.89],
    ['2013/2/8', 2416.62,2432.4,2414.4,2443.03],
    ['2013/2/18', 2441.91,2421.56,2415.43,2444.8],
    ['2013/2/19', 2420.26,2382.91,2373.53,2427.07],
    ['2013/2/20', 2383.49,2397.18,2370.61,2397.94],
    ['2013/2/21', 2378.82,2325.95,2309.17,2378.82],
    ['2013/2/22', 2322.94,2314.16,2308.76,2330.88],
    ['2013/2/25', 2320.62,2325.82,2315.01,2338.78],
    ['2013/2/26', 2313.74,2293.34,2289.89,2340.71],
    ['2013/2/27', 2297.77,2313.22,2292.03,2324.63],
    ['2013/2/28', 2322.32,2365.59,2308.92,2366.16],
    ['2013/3/1', 2364.54,2359.51,2330.86,2369.65],
    ['2013/3/4', 2332.08,2273.4,2259.25,2333.54],
    ['2013/3/5', 2274.81,2326.31,2270.1,2328.14],
    ['2013/3/6', 2333.61,2347.18,2321.6,2351.44],
    ['2013/3/7', 2340.44,2324.29,2304.27,2352.02],
    ['2013/3/8', 2326.42,2318.61,2314.59,2333.67],
    ['2013/3/11', 2314.68,2310.59,2296.58,2320.96],
    ['2013/3/12', 2309.16,2286.6,2264.83,2333.29],
    ['2013/3/13', 2282.17,2263.97,2253.25,2286.33],
    ['2013/3/14', 2255.77,2270.28,2253.31,2276.22],
    ['2013/3/15', 2269.31,2278.4,2250,2312.08],
    ['2013/3/18', 2267.29,2240.02,2239.21,2276.05],
    ['2013/3/19', 2244.26,2257.43,2232.02,2261.31],
    ['2013/3/20', 2257.74,2317.37,2257.42,2317.86],
    ['2013/3/21', 2318.21,2324.24,2311.6,2330.81],
    ['2013/3/22', 2321.4,2328.28,2314.97,2332],
    ['2013/3/25', 2334.74,2326.72,2319.91,2344.89],
    ['2013/3/26', 2318.58,2297.67,2281.12,2319.99],
    ['2013/3/27', 2299.38,2301.26,2289,2323.48],
    ['2013/3/28', 2273.55,2236.3,2232.91,2273.55],
    ['2013/3/29', 2238.49,2236.62,2228.81,2246.87],
    ['2013/4/1', 2229.46,2234.4,2227.31,2243.95],
    ['2013/4/2', 2234.9,2227.74,2220.44,2253.42],
    ['2013/4/3', 2232.69,2225.29,2217.25,2241.34],
    ['2013/4/8', 2196.24,2211.59,2180.67,2212.59],
    ['2013/4/9', 2215.47,2225.77,2215.47,2234.73],
    ['2013/4/10', 2224.93,2226.13,2212.56,2233.04],
    ['2013/4/11', 2236.98,2219.55,2217.26,2242.48],
    ['2013/4/12', 2218.09,2206.78,2204.44,2226.26],
    ['2013/4/15', 2199.91,2181.94,2177.39,2204.99],
    ['2013/4/16', 2169.63,2194.85,2165.78,2196.43],
    ['2013/4/17', 2195.03,2193.8,2178.47,2197.51],
    ['2013/4/18', 2181.82,2197.6,2175.44,2206.03],
    ['2013/4/19', 2201.12,2244.64,2200.58,2250.11],
    ['2013/4/22', 2236.4,2242.17,2232.26,2245.12],
    ['2013/4/23', 2242.62,2184.54,2182.81,2242.62],
    ['2013/4/24', 2187.35,2218.32,2184.11,2226.12],
    ['2013/4/25', 2213.19,2199.31,2191.85,2224.63],
    ['2013/4/26', 2203.89,2177.91,2173.86,2210.58],
    ['2013/5/2', 2170.78,2174.12,2161.14,2179.65],
    ['2013/5/3', 2179.05,2205.5,2179.05,2222.81],
    ['2013/5/6', 2212.5,2231.17,2212.5,2236.07],
    ['2013/5/7', 2227.86,2235.57,2219.44,2240.26],
    ['2013/5/8', 2242.39,2246.3,2235.42,2255.21],
    ['2013/5/9', 2246.96,2232.97,2221.38,2247.86],
    ['2013/5/10', 2228.82,2246.83,2225.81,2247.67],
    ['2013/5/13', 2247.68,2241.92,2231.36,2250.85],
    ['2013/5/14', 2238.9,2217.01,2205.87,2239.93],
    ['2013/5/15', 2217.09,2224.8,2213.58,2225.19],
    ['2013/5/16', 2221.34,2251.81,2210.77,2252.87],
    ['2013/5/17', 2249.81,2282.87,2248.41,2288.09],
    ['2013/5/20', 2286.33,2299.99,2281.9,2309.39],
    ['2013/5/21', 2297.11,2305.11,2290.12,2305.3],
    ['2013/5/22', 2303.75,2302.4,2292.43,2314.18],
    ['2013/5/23', 2293.81,2275.67,2274.1,2304.95],
    ['2013/5/24', 2281.45,2288.53,2270.25,2292.59],
    ['2013/5/27', 2286.66,2293.08,2283.94,2301.7],
    ['2013/5/28', 2293.4,2321.32,2281.47,2322.1],
    ['2013/5/29', 2323.54,2324.02,2321.17,2334.33],
    ['2013/5/30', 2316.25,2317.75,2310.49,2325.72],
    ['2013/5/31', 2320.74,2300.59,2299.37,2325.53],
    ['2013/6/3', 2300.21,2299.25,2294.11,2313.43],
    ['2013/6/4', 2297.1,2272.42,2264.76,2297.1],
    ['2013/6/5', 2270.71,2270.93,2260.87,2276.86],
    ['2013/6/6', 2264.43,2242.11,2240.07,2266.69],
    ['2013/6/7', 2242.26,2210.9,2205.07,2250.63],
    ['2013/6/13', 2190.1,2148.35,2126.22,2190.1]
]);


function splitData(rawData) {
    var categoryData = [];
    var values = []
    for (var i = 0; i < rawData.length; i++) {
        categoryData.push(rawData[i].splice(0, 1)[0]);
        values.push(rawData[i])
    }
    return {
        categoryData: categoryData,
        values: values
    };
}

function calculateMA(dayCount) {
    var result = [];
    for (var i = 0, len = data0.values.length; i < len; i++) {
        if (i < dayCount) {
            result.push('-');
            continue;
        }
        var sum = 0;
        for (var j = 0; j < dayCount; j++) {
            sum += data0.values[i - j][1];
        }
        result.push(sum / dayCount);
    }
    return result;
}



option = {
    title: {
        text: '上证指数',
        left: 0
    },
    //提示框控件
    tooltip: {
        trigger: 'axis',
        //配置坐标轴指示器
        axisPointer: {
            type: 'cross'
        }
    },
    //图例
    legend: {
        data: ['日K', 'MA5', 'MA10', 'MA20', 'MA30']
    },
    //图标配置
    grid: {
        left: '10%',
        right: '10%',
        bottom: '15%'
    },
    xAxis: {
        type: 'category',
        data: data0.categoryData,
        scale: true,
        boundaryGap : false,
        axisLine: {onZero: false},
        splitLine: {show: false},
        splitNumber: 20,
        min: 'dataMin',
        max: 'dataMax'
    },
    yAxis: {
        scale: true,
        splitArea: {
            show: true
        }
    },
    dataZoom: [
        {
            type: 'inside',
            start: 50,
            end: 100
        },
        {
            show: true,
            type: 'slider',
            y: '90%',
            start: 50,
            end: 100
        }
    ],
    series: [
        {
            name: '日K',
            type: 'candlestick',
            data: data0.values,
            itemStyle: {
                normal: {
                    color: upColor,
                    color0: downColor,
                    borderColor: upBorderColor,
                    borderColor0: downBorderColor
                }
            },
            markPoint: {
                label: {
                    normal: {
                        formatter: function (param) {
                            return param != null ? Math.round(param.value) : '';
                        }
                    }
                },
                data: [
                    {
                        name: 'XX标点',
                        coord: ['2013/5/31', 2300],
                        value: 2300,
                        itemStyle: {
                            normal: {color: 'rgb(41,60,85)'}
                        }
                    },
                    {
                        name: 'highest value',
                        type: 'max',
                        valueDim: 'highest'
                    },
                    {
                        name: 'lowest value',
                        type: 'min',
                        valueDim: 'lowest'
                    },
                    {
                        name: 'average value on close',
                        type: 'average',
                        valueDim: 'close'
                    }
                ],
                tooltip: {
                    formatter: function (param) {
                        return param.name + '<br>' + (param.data.coord || '');
                    }
                }
            },
            markLine: {
                symbol: ['none', 'none'],
                data: [
                    [
                        {
                            name: 'from lowest to highest',
                            type: 'min',
                            valueDim: 'lowest',
                            symbol: 'circle',
                            symbolSize: 10,
                            label: {
                                normal: {show: false},
                                emphasis: {show: false}
                            }
                        },
                        {
                            type: 'max',
                            valueDim: 'highest',
                            symbol: 'circle',
                            symbolSize: 10,
                            label: {
                                normal: {show: false},
                                emphasis: {show: false}
                            }
                        }
                    ],
                    {
                        name: 'min line on close',
                        type: 'min',
                        valueDim: 'close'
                    },
                    {
                        name: 'max line on close',
                        type: 'max',
                        valueDim: 'close'
                    }
                ]
            }
        },
        {
            name: 'MA5',
            type: 'line',
            data: calculateMA(5),
            smooth: true,
            lineStyle: {
                normal: {opacity: 0.5}
            }
        },
        {
            name: 'MA10',
            type: 'line',
            data: calculateMA(10),
            smooth: true,
            lineStyle: {
                normal: {opacity: 0.5}
            }
        },
        {
            name: 'MA20',
            type: 'line',
            data: calculateMA(20),
            smooth: true,
            lineStyle: {
                normal: {opacity: 0.5}
            }
        },
        {
            name: 'MA30',
            type: 'line',
            data: calculateMA(30),
            smooth: true,
            lineStyle: {
                normal: {opacity: 0.5}
            }
        },

    ]
};

        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);
    </script>
</body>
</html>
K线图

 10 雷达图

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div id="main" style="width: 600px;height:400px;"></div>
    <script type="text/javascript">
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));
        // 指定图表的配置项和数据
        var option = {
            title: {
                text: '基础雷达图'
            },
            tooltip: {},
            legend: {
                data:['预算分配（Allocated Budget）', '实际开销（Actual Spending）']
            },
            radar:{
                name:{
                    textStyle:{
                        color:'#fff',
                        backgroundColor:'#999',
                        borderRadius:3,
                        padding:[3,5]
                    }
                },
                indicator:[
                    { name: '销售（sales）', max: 6500},
                   { name: '管理（Administration）', max: 16000},
                   { name: '信息技术（Information Techology）', max: 30000},
                   { name: '客服（Customer Support）', max: 38000},
                   { name: '研发（Development）', max: 52000},
                   { name: '市场（Marketing）', max: 25000}
                ]
            },
            series: [{
                name: '预算 vs 开销（Budget vs spending）',
                type: 'radar',
                // areaStyle: {normal: {}},
                data : [
                    {
                        value : [4300, 10000, 28000, 35000, 50000, 19000],
                        name : '预算分配（Allocated Budget）'
                    },
                     {
                        value : [5000, 14000, 28000, 31000, 42000, 21000],
                        name : '实际开销（Actual Spending）'
                    }
                ]
            }]
        };

        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);
    </script>
</body>
</html>
雷达图

 11：多个坐标系配合

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div id="main" style="width: 600px;height:400px;"></div>
    <script type="text/javascript">
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));
        // 指定图表的配置项和数据
        var option = {
            title: {
                text: 'ECharts 入门示例'
            },
            tooltip: {
                trigger:'axis',
                axisPointer:{
                    type:'cross',
                    crossStyle:{
                        color:'red'
                    }
                }
            },
            legend: {
                data:['蒸发量','降水量','平均温度']
            },
            xAxis: {
                type:'category',
                data: ['1月','2月','3月','4月','5月','6月','7月','8月','9月','10月','11月','12月'],
                axisPointer:{
                    type:'shadow'
                }
            },
            yAxis: [
                {
                    type:'value',
                    name:'水量',
                    min:0,
                    max:250,
                    interval:50,
                    axisLabel:{
                        formatter:'{value} ml'
                    }
                },
                {
                    type:'value',
                    name:'温度',
                    min:0,
                    max:25,
                    interval:5,
                    axisLabel:{
                        formatter:'{value} °C'
                    }
                }
            ],
            series: [ 
            {
                name:'蒸发量',
                type:'bar',
                data:[2.0, 4.9, 7.0, 23.2, 25.6, 76.7, 135.6, 162.2, 32.6, 20.0, 6.4, 3.3]
            },
            {
                name:'降水量',
                type:'bar',
                data:[2.6, 5.9, 9.0, 26.4, 28.7, 70.7, 175.6, 182.2, 48.7, 18.8, 6.0, 2.3]
            },
            {
                name:'平均温度',
                type:'line',
                yAxisIndex: 1,
                data:[2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3, 23.4, 23.0, 16.5, 12.0, 6.2]
            }]
        };

        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);
    </script>
</body>
</html>
多个Y轴

 12：数据区域缩放：聚焦到你所关心的数据上

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div id="main" style="width: 600px;height:400px;"></div>
    <script type="text/javascript">
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));
        var base = +new Date(1968, 9, 3);
        var oneDay = 24 * 3600 * 1000;
        var date = [];

        var data = [Math.random() * 300];

        for (var i = 1; i < 20000; i++) {
            var now = new Date(base += oneDay);
            date.push([now.getFullYear(), now.getMonth() + 1, now.getDate()].join('/'));
            data.push(Math.round((Math.random() - 0.5) * 20 + data[i - 1]));
        }

        option={
            tooltip:{
                trigger:'axis',
                position:function(pt){
                    // 相对位置，放置在容器正中间
                    return [pt[0],'10%'];
                }
            },
            title:{
                left:'center',
                text:'大数据量面积图'
            },

/*坐标轴两边留白策略，类目轴和非类目轴的设置和表现不一样。

类目轴中 boundaryGap 可以配置为 true 和 false。默认为 true，这时候刻度只是作为分隔线，标签和数据点都会在两个刻度之间的带(band)中间。

非类目轴，包括时间，数值，对数轴，boundaryGap是一个两个值的数组，分别表示数据最小值和最大值的延伸范围，可以直接设置数值或者相对的百分比，在设置 min 和 max 后无效。 示例：

boundaryGap: ['20%', '20%'] 
*/
            toolbox:{
                feature:{
                    dataZoom:{
                        yAxisIndex:'none'
                    },
                    restore:{},
                    saveAsImage:{},
                },
            },
            xAxis: {
                type: 'category',
                boundaryGap: false,
                data: date
            },
            yAxis: {
                type: 'value',
                boundaryGap: [0, '100%']
            },
            dataZoom: [{
                type: 'inside',
                start: 0,
                end: 10
            }, {
                start: 0,
                end: 10,
                handleIcon: 'M10.7,11.9v-1.3H9.3v1.3c-4.9,0.3-8.8,4.4-8.8,9.4c0,5,3.9,9.1,8.8,9.4v1.3h1.3v-1.3c4.9-0.3,8.8-4.4,8.8-9.4C19.5,16.3,15.6,12.2,10.7,11.9z M13.3,24.4H6.7V23h6.6V24.4z M13.3,19.6H6.7v-1.4h6.6V19.6z',
                handleSize: '80%',
                handleStyle: {
                    color: '#fff',
                    shadowBlur: 3,
                    shadowColor: 'red',
                    shadowOffsetX: 2,
                    shadowOffsetY: 2
                }
            }],
            series: [
            {
                name:'模拟数据',
                type:'line',
                smooth:true,
                symbol: 'none',
                sampling: 'average',
                itemStyle: {
                    color: 'rgb(255, 70, 131)'
                },
                areaStyle: {
                    color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [{
                        offset: 0,
                        color: 'rgb(255, 158, 68)'
                    }, {
                        offset: 1,
                        color: 'rgb(255, 70, 131)'
                    }])
                },
                data: data
            }
        ]
        }
        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);
    </script>
</body>
</html>
数据区域缩放

 13：值域漫游

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div id="main" style="width: 600px;height:400px;"></div>
    <script type="text/javascript">
        // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));
        // 指定图表的配置项和数据
         option = {
    tooltip : {
        trigger: 'item'
    },
    toolbox: {
        show : true,
        feature : {
            mark : {show: true},
            dataZoom : {show: true},
            dataView : {show: true, readOnly: false},
            restore : {show: true},
            saveAsImage : {show: true}
        }
    },
    dataRange: {
        min: 0,
        max: 100,
        y: 'center',
        text:['高','低'],           // 文本，默认为数值文本
        color:['lightgreen','yellow'],
        calculable : true
    },
    xAxis : [
        {
            type : 'value',
            scale : true
        }
    ],
    yAxis : [
        {
            type : 'value',
            position:'right',
            scale : true
        }
    ],
    animation: false,
    series : [
        {
            name:'scatter1',
            type:'scatter',
            symbolSize:5,
            data: (function () {
                var d = [];
                var len = 500;
                var value;
                while (len--) {
                    value = (Math.random()*100).toFixed(2) - 0;
                    d.push([
                        (Math.random()*value + value).toFixed(2) - 0,
                        (Math.random()*value).toFixed(2) - 0,
                        value
                    ]);
                }
                return d;
            })()
        }
    ]
};
                    

        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);
    </script>
</body>
</html>
Demo1 

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.js"></script>
    <script src="china.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div id="main" style="width: 900px;height:600px;"></div>
    <script type="text/javascript">
     // 基于准备好的dom，初始化echarts实例
        var myChart = echarts.init(document.getElementById('main'));
        //定义经纬度数据
        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]
            };
           
           

        //把上面的格式转成echarts需要的格式
        var convertData = function (data) {
            var res = [];
            for (var i = 0; i < data.length; i++) {
               
                var geoCoord = geoCoordMap[data[i].name];
                if (geoCoord) {
                    res.push({
                        name: data[i].name,
                        value:geoCoord.concat(data[i].value)
                    });
                }
            }
            return res;
        };
               
       
 
option = {
    backgroundColor: '#404a59',
    title : {
        text: '全国主要城市空气质量',
        subtext:'data from PM25.in',
        sublink:"http://www.pm25.in",
        x: 'center',
        textStyle : {
            color: '#fff'
        }
    },
    tooltip : {
        trigger: 'item',
        formatter:function(params){
            return params.name + ' ：'+params.value[2];
        }
    },
    legend: {
        orient: 'vertical',
        y: 'bottom',
        x:'right',
        data:['pm2.5'],
        textStyle: {
            color: '#fff'
        },
    },
    dataRange:{
        min:0,
        max:300,
        calculable:true,
        //渐变的颜色区间
        color:['#d94e5d','#eac736','#50a3ba'],
        //字体颜色
        textStyle: {
            color: '#fff'
        },
    },
    geo: {
        map: 'china',
        label: {
            emphasis: {
                show: false
            }
        },
        itemStyle: {
            normal: {
                areaColor: '#323c48',
                borderColor: '#111'
            },
            emphasis: {
                areaColor: '#2a333d'
            }
        }
    },
    series: [{
        name:'pm2.5',
        type:'scatter',
        coordinateSystem:'geo',
        data:convertData([
             {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}
        ]),
        symbolSize:12,
        label:{
            normal:{
                show:false
            },
            emphasis:{
                show:false
            }
        },
        itemStyle: {
            normal: {
                color: "#fff",
                borderWidth:1
            }
        },
         
    }]
};
myChart.setOption(option);
    </script>
</body>
</html>
Demo2

14：主题设置

我们仅需要在ECharts初始化的时候把引入的js主题，配置到该方法上即可。

(function (root, factory) {
    if (typeof define === 'function' && define.amd) {
        // AMD. Register as an anonymous module.
        define(['exports', 'echarts'], factory);
    } else if (typeof exports === 'object' && typeof exports.nodeName !== 'string') {
        // CommonJS
        factory(exports, require('echarts'));
    } else {
        // Browser globals
        factory({}, root.echarts);
    }
}(this, function (exports, echarts) {
    var log = function (msg) {
        if (typeof console !== 'undefined') {
            console && console.error && console.error(msg);
        }
    };
    if (!echarts) {
        log('ECharts is not Loaded');
        return;
    }
    var contrastColor = '#eee';
    var axisCommon = function () {
        return {
            axisLine: {
                lineStyle: {
                    color: contrastColor
                }
            },
            axisTick: {
                lineStyle: {
                    color: contrastColor
                }
            },
            axisLabel: {
                textStyle: {
                    color: contrastColor
                }
            },
            splitLine: {
                lineStyle: {
                    type: 'dashed',
                    color: '#aaa'
                }
            },
            splitArea: {
                areaStyle: {
                    color: contrastColor
                }
            }
        };
    };

    var colorPalette = ['#dd6b66','#759aa0','#e69d87','#8dc1a9','#ea7e53','#eedd78','#73a373','#73b9bc','#7289ab', '#91ca8c','#f49f42'];
    var theme = {
        color: colorPalette,
        backgroundColor: '#333',
        tooltip: {
            axisPointer: {
                lineStyle: {
                    color: contrastColor
                },
                crossStyle: {
                    color: contrastColor
                }
            }
        },
        legend: {
            textStyle: {
                color: contrastColor
            }
        },
        textStyle: {
            color: contrastColor
        },
        title: {
            textStyle: {
                color: contrastColor
            }
        },
        toolbox: {
            iconStyle: {
                normal: {
                    borderColor: contrastColor
                }
            }
        },
        dataZoom: {
            textStyle: {
                color: contrastColor
            }
        },
        timeline: {
            lineStyle: {
                color: contrastColor
            },
            itemStyle: {
                normal: {
                    color: colorPalette[1]
                }
            },
            label: {
                normal: {
                    textStyle: {
                        color: contrastColor
                    }
                }
            },
            controlStyle: {
                normal: {
                    color: contrastColor,
                    borderColor: contrastColor
                }
            }
        },
        timeAxis: axisCommon(),
        logAxis: axisCommon(),
        valueAxis: axisCommon(),
        categoryAxis: axisCommon(),

        line: {
            symbol: 'circle'
        },
        graph: {
            color: colorPalette
        },
        gauge: {
            title: {
                textStyle: {
                    color: contrastColor
                }
            }
        },
        candlestick: {
            itemStyle: {
                normal: {
                    color: '#FD1050',
                    color0: '#0CF49B',
                    borderColor: '#FD1050',
                    borderColor0: '#0CF49B'
                }
            }
        }
    };
    theme.categoryAxis.splitLine.show = false;
    echarts.registerTheme('dark', theme);
}));
dark.js 
<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.js"></script>
    <script src="dark.js"></script>
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div id="main" style="width: 600px;height:400px;"></div>
    <script type="text/javascript">
        // 基于准备好的dom，初始化echarts实例的时候引入主题文件
        var myChart = echarts.init(document.getElementById('main'),'dark');
        // 指定图表的配置项和数据
        var option = {
            title: {
                text: 'ECharts 入门示例'
            },
            tooltip: {},
            legend: {
                data:['销量']
            },
            xAxis: {
                data: ["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]
            },
            yAxis: {},
            series: [{
                name: '销量',
                type: 'bar',
                data: [5, 20, 36, 10, 10, 20]
            }]
        };

        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);
    </script>
</body>
</html>
主题设置

 三、ECharts抛砖引玉 

1:地图标记

涉及知识点：a：异步请求数据，b：

需要准备：需要获取百度地图开发api的秘钥

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <link rel="stylesheet" href="bootstrap.min.css">
    <!-- 引入 echarts.js -->
    <script src="echarts.min.js"></script>
    <script src="china.js"></script>
    <script src="jquery-3.3.1.min.js"></script>
    <style>
        body{
            padding-top: 80px;
        }
        #add-btn{
            margin-top: 20px;
        }
    </style>
    
</head>
<body>
    <!-- 为ECharts准备一个具备大小（宽高）的Dom -->
    <div class="container">
        <div class="row">
            <div class="col-md-3 col-md-offset-3">
                <form class="form-horizontal">
                    <input type="text" id="place-input" class="form-control" 
                    value="故宫博物院" placeholder="请输入地址">
                    <button type="button" id="search-btn" class="btn btn-success">
                        查询
                    </button>
                </form>
            </div>
            <div class="col-md-6">
                <div id="main" style="height:500px"></div>
            </div>
        </div>
    </div>




    <script type="text/javascript">
         var token = 'wcHL3b45H15NA7j4akCCbhtfd2FNFyTA'

        var url='http://api.map.baidu.com/geocoder/v2/?output=json&ak='+token+'&address='
        var ePlaceInput=$('#place-input')
        var eSearchBtn=$('#search-btn')
        var myChart=echarts.init(document.getElementById('main'))
        var chartData=[]
        eSearchBtn.click(function(){
            var place=ePlaceInput.val()
            if (place) {
                $.getJSON(url+place+'&callback=?',function(res){
                    if (res.status===0) {
                        loc=res.result.location;
                        chartData.push({
                        name:name,
                        value:[loc.lng,loc.lat]
                    })
                        drawMap(place)
                    }else{
                        alert('百度没有找到地址信息 ')
                    }
                })
            }
        });
        function drawMap(name){
            var option = {
                backgroundColor:'#404a59',
                title: {
                    text: '地址搜索',
                    left:'center',
                    textStyle:{
                        color:'#fff'
                    }
                },
                tooltip: {
                    trigger:'item'
                },
                toolbox:{
                    show:true,
                    feature:{
                        saveAsImage:{
                            show:true
                        }
                    }
                },
                legend: {
                    data:['销量']
                },
                geo:{
                    map:'china',
                    label:{
                        emphasis:{
                            show:false
                        }
                    },
                    roam:true,
                    itemStyle:{
                        normal:{
                            areaColor:'#323c48',
                            borderColor:'#111'
                        },
                        emphasis:{
                            areaColor:'#2a333d'
                        }
                    }
                },
                series: [{
                    name: '地址',
                    type: 'scatter',
                    coordinateSystem:'geo',
                    data:chartData,
                    symbolSize:function(val){
                        return 10;
                    },
                }]
            }
            // 使用刚指定的配置项和数据显示图表。
            myChart.setOption(option);
        };

       
        
    </script>
</body>
</html>
地址搜索

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