　　备忘

浏览器画图原理

Canvas
基于像素
单个html，类似于画笔在画布上画画
Echarts基于canvas画图
Svg
基于对象模型
多个图形元素
高保真

下载安装

在线定制下载echarts.min.js

快速上手

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.min.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>

Echarts.init()
初始化Echarts实例
setOption用指定数据绘图
Option对象
标题：title
图例：legend
X轴：xAxis
数据：series:[{name:’xx’, type:’xx’, data:[xxx]}]

折线图

series: [{
                name: '销量',
                type: 'bar',
                data: [5, 20, 36, 10, 10, 20]
            },{
                name: '产量',
                type: 'line',
                data: [7, 30, 50, 11, 40, 80]
            }]

常用图

标题

title: {
               show: true,
               text: 'ECharts 入门示例',
               subtext: '这是副标题知道不',
               left: 100, //或者center left这种
               borderColor: 'red',
               borderWidth: 5
           },

工具箱

toolbox: {
                show: true,
                feature: {
                    dataView: {
                        show: true
                    },
                    restore: { //还原
                        show: true
                    },
                    dataZoom: {
                        show: true
                    },
                    saveAsImage: {
                        show: true
                    },
                    magicType: {
                        type: ['line', 'bar']
                    }
                }
            },

弹窗

1
2
3

tooltip: {
    trigger: 'axis'
},

标记线和标记点

    series: [{
        name: '销量',
        type: 'bar',
        data: [5, 20, 36, 10, 10, 20],
        markPoint: {
            data: [
                {type: 'max', name: '最大值'}, 
                {type: 'min', name: '最小值', symbol:'arrow'}
                ]
        },
        markLine: {
            data: [
                {type: 'average',name: '平均值'}
                ]
        }
    }]
};

饼图

series: [{
                name: '访问来源',
                type: 'pie',
                radius:'55%',
                center:['50%', '60%'],
                data: [
                    {value:335, name:'直接访问'},
                    {value:310, name:'邮件营销'},
                    {value:234, name:'联盟广告'},
                    {value:135, name:'视频广告'},
                    {value:1548, name:'搜索引擎'}
                ]
            }
        ]
    };

仪表图

series: [
                {
                    name: '业务指标',
                    type: 'gauge',
                    detail: {formatter:'{value}%'},
                    data: [{value: 32, name:'完成率'}]
                }
            ]

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

地图

<!DOCTYPE html>
<html>

<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.min.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'));
        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]
        };

        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
            }]
        ];

        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
            }]
        ];

        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
            }]
        ];

        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';

        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([{
                        name: dataItem[0].name,
                        coord: fromCoord
                    }, {
                        name: dataItem[1].name,
                        coord: 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,
                effect: {
                    show: true,
                    period: 6,
                    trailLength: 0,
                    symbol: planePath,
                    symbolSize: 15
                },
                lineStyle: {
                    normal: {
                        color: color[i],
                        width: 1,
                        opacity: 0.4,
                        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
        };
        // 使用刚指定的配置项和数据显示图表。
        myChart.setOption(option);
    </script>
</body>

</html>

china.js

(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', {"type":"FeatureCollection","features":[{"id":"710000","geometry":{"type":"MultiPolygon","coordinates":[["@@°Ü¯Û","@@ƛĴÕƊÉɼģºðʀ\\ƎsÆNŌÔĚänÜƤɊĂǀĆĴĤǊŨxĚĮǂƺòƌâÔ®ĮXŦţƸZûÐƕƑGđ¨ĭMó·ęcëƝɉlÝƯֹÅŃ^Ó·śŃǋƏďíåɛGɉ¿IċããF¥ĘWǬÏĶñÄ","@@\\p|WoYG¿¥Ij@","@@¡@V^RqBbAnTXeQr©C","@@ÆEEkWqë I"]],"encodeOffsets":[[[122886,24033],[123335,22980],[122375,24193],[122518,24117],[124427,22618]]]},"properties":{"cp":[121.509062,25.044332],"name":"台湾","childNum":5}},{"id":"130000","geometry":{"type":"MultiPolygon","coordinates":[["@@\\aM`Ç½ÓnUKĜēs¤©yrý§uģcJ»eIP]ªrºc_ħ²G¼s`jÎŸnüsÂľP","@@U`Ts¿mÄ","@@FOhđ©OiÃ`ww^ÌkÑH«ƇǤŗĺtFu{Z}Ö@U´ʚLg®¯Oı°Ãw ^VbÉsmAê]]w§RRl£ŭuwNÁ`ÇFēÝčȻuT¡Ĺ¯Õ¯sŗő£YªhVƍ£ƅnëYNgq¼ś¿µı²UºÝUąąŖóxV@tƯJ]eR¾fe|rHA|h~Ėƍl§ÏjVë` ØoÅbbx³^zÃĶ¶Sj®AyÂhðk`«PËµEFÛ¬Y¨Ļrõqi¼Wi°§Ð±²°`[À|ĠO@ÆxO\\ta\\p_Zõ^û{ġȧXýĪÓjùÎRb^Î»j{íděYfíÙTymńŵōHim½éŅaVcř§ax¹XŻácWU£ôãºQ¨÷Ñws¥qEHÙ|šYQoŕÇyáĂ£MÃ°oťÊP¡mWO¡v{ôvîēÜISpÌhp¨ 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}));

散点图

<!DOCTYPE html>
<html>

<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.min.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'));

        // 指定图表的配置项和数据
        var dataBJ = [
            [1, 55, 9, 56, 0.46, 18, 6, "良"],
            [2, 25, 11, 21, 0.65, 34, 9, "优"],
            [3, 56, 7, 63, 0.3, 14, 5, "良"],
            [4, 33, 7, 29, 0.33, 16, 6, "优"],
            [5, 42, 24, 44, 0.76, 40, 16, "优"],
            [6, 82, 58, 90, 1.77, 68, 33, "良"],
            [7, 74, 49, 77, 1.46, 48, 27, "良"],
            [8, 78, 55, 80, 1.29, 59, 29, "良"],
            [9, 267, 216, 280, 4.8, 108, 64, "重度污染"],
            [10, 185, 127, 216, 2.52, 61, 27, "中度污染"],
            [11, 39, 19, 38, 0.57, 31, 15, "优"],
            [12, 41, 11, 40, 0.43, 21, 7, "优"],
            [13, 64, 38, 74, 1.04, 46, 22, "良"],
            [14, 108, 79, 120, 1.7, 75, 41, "轻度污染"],
            [15, 108, 63, 116, 1.48, 44, 26, "轻度污染"],
            [16, 33, 6, 29, 0.34, 13, 5, "优"],
            [17, 94, 66, 110, 1.54, 62, 31, "良"],
            [18, 186, 142, 192, 3.88, 93, 79, "中度污染"],
            [19, 57, 31, 54, 0.96, 32, 14, "良"],
            [20, 22, 8, 17, 0.48, 23, 10, "优"],
            [21, 39, 15, 36, 0.61, 29, 13, "优"],
            [22, 94, 69, 114, 2.08, 73, 39, "良"],
            [23, 99, 73, 110, 2.43, 76, 48, "良"],
            [24, 31, 12, 30, 0.5, 32, 16, "优"],
            [25, 42, 27, 43, 1, 53, 22, "优"],
            [26, 154, 117, 157, 3.05, 92, 58, "中度污染"],
            [27, 234, 185, 230, 4.09, 123, 69, "重度污染"],
            [28, 160, 120, 186, 2.77, 91, 50, "中度污染"],
            [29, 134, 96, 165, 2.76, 83, 41, "轻度污染"],
            [30, 52, 24, 60, 1.03, 50, 21, "良"],
            [31, 46, 5, 49, 0.28, 10, 6, "优"]
        ];

        var dataGZ = [
            [1, 26, 37, 27, 1.163, 27, 13, "优"],
            [2, 85, 62, 71, 1.195, 60, 8, "良"],
            [3, 78, 38, 74, 1.363, 37, 7, "良"],
            [4, 21, 21, 36, 0.634, 40, 9, "优"],
            [5, 41, 42, 46, 0.915, 81, 13, "优"],
            [6, 56, 52, 69, 1.067, 92, 16, "良"],
            [7, 64, 30, 28, 0.924, 51, 2, "良"],
            [8, 55, 48, 74, 1.236, 75, 26, "良"],
            [9, 76, 85, 113, 1.237, 114, 27, "良"],
            [10, 91, 81, 104, 1.041, 56, 40, "良"],
            [11, 84, 39, 60, 0.964, 25, 11, "良"],
            [12, 64, 51, 101, 0.862, 58, 23, "良"],
            [13, 70, 69, 120, 1.198, 65, 36, "良"],
            [14, 77, 105, 178, 2.549, 64, 16, "良"],
            [15, 109, 68, 87, 0.996, 74, 29, "轻度污染"],
            [16, 73, 68, 97, 0.905, 51, 34, "良"],
            [17, 54, 27, 47, 0.592, 53, 12, "良"],
            [18, 51, 61, 97, 0.811, 65, 19, "良"],
            [19, 91, 71, 121, 1.374, 43, 18, "良"],
            [20, 73, 102, 182, 2.787, 44, 19, "良"],
            [21, 73, 50, 76, 0.717, 31, 20, "良"],
            [22, 84, 94, 140, 2.238, 68, 18, "良"],
            [23, 93, 77, 104, 1.165, 53, 7, "良"],
            [24, 99, 130, 227, 3.97, 55, 15, "良"],
            [25, 146, 84, 139, 1.094, 40, 17, "轻度污染"],
            [26, 113, 108, 137, 1.481, 48, 15, "轻度污染"],
            [27, 81, 48, 62, 1.619, 26, 3, "良"],
            [28, 56, 48, 68, 1.336, 37, 9, "良"],
            [29, 82, 92, 174, 3.29, 0, 13, "良"],
            [30, 106, 116, 188, 3.628, 101, 16, "轻度污染"],
            [31, 118, 50, 0, 1.383, 76, 11, "轻度污染"]
        ];

        var dataSH = [
            [1, 91, 45, 125, 0.82, 34, 23, "良"],
            [2, 65, 27, 78, 0.86, 45, 29, "良"],
            [3, 83, 60, 84, 1.09, 73, 27, "良"],
            [4, 109, 81, 121, 1.28, 68, 51, "轻度污染"],
            [5, 106, 77, 114, 1.07, 55, 51, "轻度污染"],
            [6, 109, 81, 121, 1.28, 68, 51, "轻度污染"],
            [7, 106, 77, 114, 1.07, 55, 51, "轻度污染"],
            [8, 89, 65, 78, 0.86, 51, 26, "良"],
            [9, 53, 33, 47, 0.64, 50, 17, "良"],
            [10, 80, 55, 80, 1.01, 75, 24, "良"],
            [11, 117, 81, 124, 1.03, 45, 24, "轻度污染"],
            [12, 99, 71, 142, 1.1, 62, 42, "良"],
            [13, 95, 69, 130, 1.28, 74, 50, "良"],
            [14, 116, 87, 131, 1.47, 84, 40, "轻度污染"],
            [15, 108, 80, 121, 1.3, 85, 37, "轻度污染"],
            [16, 134, 83, 167, 1.16, 57, 43, "轻度污染"],
            [17, 79, 43, 107, 1.05, 59, 37, "良"],
            [18, 71, 46, 89, 0.86, 64, 25, "良"],
            [19, 97, 71, 113, 1.17, 88, 31, "良"],
            [20, 84, 57, 91, 0.85, 55, 31, "良"],
            [21, 87, 63, 101, 0.9, 56, 41, "良"],
            [22, 104, 77, 119, 1.09, 73, 48, "轻度污染"],
            [23, 87, 62, 100, 1, 72, 28, "良"],
            [24, 168, 128, 172, 1.49, 97, 56, "中度污染"],
            [25, 65, 45, 51, 0.74, 39, 17, "良"],
            [26, 39, 24, 38, 0.61, 47, 17, "优"],
            [27, 39, 24, 39, 0.59, 50, 19, "优"],
            [28, 93, 68, 96, 1.05, 79, 29, "良"],
            [29, 188, 143, 197, 1.66, 99, 51, "中度污染"],
            [30, 174, 131, 174, 1.55, 108, 50, "中度污染"],
            [31, 187, 143, 201, 1.39, 89, 53, "中度污染"]
        ];

        var schema = [{
            name: 'date',
            index: 0,
            text: '日'
        }, {
            name: 'AQIindex',
            index: 1,
            text: 'AQI指数'
        }, {
            name: 'PM25',
            index: 2,
            text: 'PM2.5'
        }, {
            name: 'PM10',
            index: 3,
            text: 'PM10'
        }, {
            name: 'CO',
            index: 4,
            text: '一氧化碳（CO）'
        }, {
            name: 'NO2',
            index: 5,
            text: '二氧化氮（NO2）'
        }, {
            name: 'SO2',
            index: 6,
            text: '二氧化硫（SO2）'
        }];


        var itemStyle = {
            normal: {
                opacity: 0.8,
                shadowBlur: 10,
                shadowOffsetX: 0,
                shadowOffsetY: 0,
                shadowColor: 'rgba(0, 0, 0, 0.5)'
            }
        };

        option = {
            backgroundColor: '#333',
            color: [
                '#dd4444', '#fec42c', '#80F1BE'
            ],
            legend: {
                y: 'top',
                data: ['北京', '上海', '广州'],
                textStyle: {
                    color: '#fff',
                    fontSize: 16
                }
            },
            grid: {
                x: '10%',
                x2: 150,
                y: '18%',
                y2: '10%'
            },
            tooltip: {
                padding: 10,
                backgroundColor: '#222',
                borderColor: '#777',
                borderWidth: 1,
                formatter: function(obj) {
                    var value = obj.value;
                    return '<div style="border-bottom: 1px solid rgba(255,255,255,.3); font-size: 18px;padding-bottom: 7px;margin-bottom: 7px">' +
                        obj.seriesName + ' ' + value[0] + '日：' +
                        value[7] +
                        '</div>' +
                        schema[1].text + '：' + value[1] + '<br>' +
                        schema[2].text + '：' + value[2] + '<br>' +
                        schema[3].text + '：' + value[3] + '<br>' +
                        schema[4].text + '：' + value[4] + '<br>' +
                        schema[5].text + '：' + value[5] + '<br>' +
                        schema[6].text + '：' + value[6] + '<br>';
                }
            },
            xAxis: {
                type: 'value',
                name: '日期',
                nameGap: 16,
                nameTextStyle: {
                    color: '#fff',
                    fontSize: 14
                },
                max: 31,
                splitLine: {
                    show: false
                },
                axisLine: {
                    lineStyle: {
                        color: '#777'
                    }
                },
                axisTick: {
                    lineStyle: {
                        color: '#777'
                    }
                },
                axisLabel: {
                    formatter: '{value}',
                    textStyle: {
                        color: '#fff'
                    }
                }
            },
            yAxis: {
                type: 'value',
                name: 'AQI指数',
                nameLocation: 'end',
                nameGap: 20,
                nameTextStyle: {
                    color: '#fff',
                    fontSize: 16
                },
                axisLine: {
                    lineStyle: {
                        color: '#777'
                    }
                },
                axisTick: {
                    lineStyle: {
                        color: '#777'
                    }
                },
                splitLine: {
                    show: false
                },
                axisLabel: {
                    textStyle: {
                        color: '#fff'
                    }
                }
            },
            visualMap: [{
                left: 'right',
                top: '10%',
                dimension: 2,
                min: 0,
                max: 250,
                itemWidth: 30,
                itemHeight: 120,
                calculable: true,
                precision: 0.1,
                text: ['圆形大小：PM2.5'],
                textGap: 30,
                textStyle: {
                    color: '#fff'
                },
                inRange: {
                    symbolSize: [10, 70]
                },
                outOfRange: {
                    symbolSize: [10, 70],
                    color: ['rgba(255,255,255,.2)']
                },
                controller: {
                    inRange: {
                        color: ['#c23531']
                    },
                    outOfRange: {
                        color: ['#444']
                    }
                }
            }, {
                left: 'right',
                bottom: '5%',
                dimension: 6,
                min: 0,
                max: 50,
                itemHeight: 120,
                calculable: true,
                precision: 0.1,
                text: ['明暗：二氧化硫'],
                textGap: 30,
                textStyle: {
                    color: '#fff'
                },
                inRange: {
                    colorLightness: [1, 0.5]
                },
                outOfRange: {
                    color: ['rgba(255,255,255,.2)']
                },
                controller: {
                    inRange: {
                        color: ['#c23531']
                    },
                    outOfRange: {
                        color: ['#444']
                    }
                }
            }],
            series: [{
                name: '北京',
                type: 'scatter',
                itemStyle: itemStyle,
                data: dataBJ
            }, {
                name: '上海',
                type: 'scatter',
                itemStyle: itemStyle,
                data: dataSH
            }, {
                name: '广州',
                type: 'scatter',
                itemStyle: itemStyle,
                data: dataGZ
            }]
        };

        // 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

<!DOCTYPE html>
<html>

<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.min.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'));

        // 指定图表的配置项和数据
        // 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
            },
            tooltip: {
                trigger: 'axis',
                axisPointer: {
                    type: 'line'
                }
            },
            legend: {
                data: ['日K', 'MA5', 'MA10', 'MA20', 'MA30']
            },
            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,
                    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>

雷达图

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.min.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'));

// 指定图表的配置项和数据
option = {
    title: {
        text: '基础雷达图'
    },
    tooltip: {},
    legend: {
        data: ['预算分配（Allocated Budget）', '实际开销（Actual Spending）']
    },
    radar: {
        // shape: 'circle',
        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>

高级使用

多个坐标轴

两个图标合并展示
设置两个y轴
配置多个yaxis属性

<!DOCTYPE html>
<html>

<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.min.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'));

        // 指定图表的配置项和数据
        option = {
            tooltip: {
                trigger: 'axis'
            },
            toolbox: {
                feature: {
                    dataView: {
                        show: true,
                        readOnly: false
                    },
                    magicType: {
                        show: true,
                        type: ['line', 'bar']
                    },
                    restore: {
                        show: true
                    },
                    saveAsImage: {
                        show: true
                    }
                }
            },
            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']
            }],
            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>

dataZoom

x轴可以控制区域
区间显示
缩放显示
常用于大数据

<!DOCTYPE html>
<html>

<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.min.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'));

        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) {
                    return [pt[0], '10%'];
                }
            },
            title: {
                left: 'center',
                text: '大数据量折线图',
            },
            legend: {
                top: 'bottom',
                data: ['意向']
            },
            toolbox: {
                show: true,
                feature: {
                    dataView: {
                        show: true,
                        readOnly: false
                    },
                    magicType: {
                        show: true,
                        type: ['line', 'bar', 'stack', 'tiled']
                    },
                    restore: {
                        show: true
                    },
                    saveAsImage: {
                        show: true
                    }
                }
            },
            xAxis: {
                type: 'category',
                boundaryGap: false,
                data: date
            },
            yAxis: {
                type: 'value',
                boundaryGap: [0, '100%']
            },
            dataZoom: [{
                type: 'slider',
                start: 10,
                end: 40
            }],
            series: [{
                name: '模拟数据',
                type: 'line',
                smooth: true,
                symbol: 'none',
                sampling: 'average',
                itemStyle: {
                    normal: {
                        color: 'rgb(255, 70, 131)'
                    }
                },
                areaStyle: {
                    normal: {
                        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>

值域选择

<!DOCTYPE html>
<html>

<head>
    <meta charset="utf-8">
    <title>ECharts</title>
    <!-- 引入 echarts.js -->
    <script src="echarts.min.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'));

        // 指定图表的配置项和数据
        var geoCoordMap = {
            "海门": [121.15, 31.89],
            "鄂尔多斯": [109.781327, 39.608266],
            "招远": [120.38, 37.35],
            "舟山": [122.207216, 29.985295],
            "齐齐哈尔": [123.97, 47.33],
            "盐城": [120.13, 33.38],
            "赤峰": [118.87, 42.28],
            "青岛": [120.33, 36.07],
            "乳山": [121.52, 36.89],
            "金昌": [102.188043, 38.520089],
            "泉州": [118.58, 24.93],
            "莱西": [120.53, 36.86],
            "日照": [119.46, 35.42],
            "胶南": [119.97, 35.88],
            "南通": [121.05, 32.08],
            "拉萨": [91.11, 29.97],
            "云浮": [112.02, 22.93],
            "梅州": [116.1, 24.55],
            "文登": [122.05, 37.2],
            "上海": [121.48, 31.22],
            "攀枝花": [101.718637, 26.582347],
            "威海": [122.1, 37.5],
            "承德": [117.93, 40.97],
            "厦门": [118.1, 24.46],
            "汕尾": [115.375279, 22.786211],
            "潮州": [116.63, 23.68],
            "丹东": [124.37, 40.13],
            "太仓": [121.1, 31.45],
            "曲靖": [103.79, 25.51],
            "烟台": [121.39, 37.52],
            "福州": [119.3, 26.08],
            "瓦房店": [121.979603, 39.627114],
            "即墨": [120.45, 36.38],
            "抚顺": [123.97, 41.97],
            "玉溪": [102.52, 24.35],
            "张家口": [114.87, 40.82],
            "阳泉": [113.57, 37.85],
            "莱州": [119.942327, 37.177017],
            "湖州": [120.1, 30.86],
            "汕头": [116.69, 23.39],
            "昆山": [120.95, 31.39],
            "宁波": [121.56, 29.86],
            "湛江": [110.359377, 21.270708],
            "揭阳": [116.35, 23.55],
            "荣成": [122.41, 37.16],
            "连云港": [119.16, 34.59],
            "葫芦岛": [120.836932, 40.711052],
            "常熟": [120.74, 31.64],
            "东莞": [113.75, 23.04],
            "河源": [114.68, 23.73],
            "淮安": [119.15, 33.5],
            "泰州": [119.9, 32.49],
            "南宁": [108.33, 22.84],
            "营口": [122.18, 40.65],
            "惠州": [114.4, 23.09],
            "江阴": [120.26, 31.91],
            "蓬莱": [120.75, 37.8],
            "韶关": [113.62, 24.84],
            "嘉峪关": [98.289152, 39.77313],
            "广州": [113.23, 23.16],
            "延安": [109.47, 36.6],
            "太原": [112.53, 37.87],
            "清远": [113.01, 23.7],
            "中山": [113.38, 22.52],
            "昆明": [102.73, 25.04],
            "寿光": [118.73, 36.86],
            "盘锦": [122.070714, 41.119997],
            "长治": [113.08, 36.18],
            "深圳": [114.07, 22.62],
            "珠海": [113.52, 22.3],
            "宿迁": [118.3, 33.96],
            "咸阳": [108.72, 34.36],
            "铜川": [109.11, 35.09],
            "平度": [119.97, 36.77],
            "佛山": [113.11, 23.05],
            "海口": [110.35, 20.02],
            "江门": [113.06, 22.61],
            "章丘": [117.53, 36.72],
            "肇庆": [112.44, 23.05],
            "大连": [121.62, 38.92],
            "临汾": [111.5, 36.08],
            "吴江": [120.63, 31.16],
            "石嘴山": [106.39, 39.04],
            "沈阳": [123.38, 41.8],
            "苏州": [120.62, 31.32],
            "茂名": [110.88, 21.68],
            "嘉兴": [120.76, 30.77],
            "长春": [125.35, 43.88],
            "胶州": [120.03336, 36.264622],
            "银川": [106.27, 38.47],
            "张家港": [120.555821, 31.875428],
            "三门峡": [111.19, 34.76],
            "锦州": [121.15, 41.13],
            "南昌": [115.89, 28.68],
            "柳州": [109.4, 24.33],
            "三亚": [109.511909, 18.252847],
            "自贡": [104.778442, 29.33903],
            "吉林": [126.57, 43.87],
            "阳江": [111.95, 21.85],
            "泸州": [105.39, 28.91],
            "西宁": [101.74, 36.56],
            "宜宾": [104.56, 29.77],
            "呼和浩特": [111.65, 40.82],
            "成都": [104.06, 30.67],
            "大同": [113.3, 40.12],
            "镇江": [119.44, 32.2],
            "桂林": [110.28, 25.29],
            "张家界": [110.479191, 29.117096],
            "宜兴": [119.82, 31.36],
            "北海": [109.12, 21.49],
            "西安": [108.95, 34.27],
            "金坛": [119.56, 31.74],
            "东营": [118.49, 37.46],
            "牡丹江": [129.58, 44.6],
            "遵义": [106.9, 27.7],
            "绍兴": [120.58, 30.01],
            "扬州": [119.42, 32.39],
            "常州": [119.95, 31.79],
            "潍坊": [119.1, 36.62],
            "重庆": [106.54, 29.59],
            "台州": [121.420757, 28.656386],
            "南京": [118.78, 32.04],
            "滨州": [118.03, 37.36],
            "贵阳": [106.71, 26.57],
            "无锡": [120.29, 31.59],
            "本溪": [123.73, 41.3],
            "克拉玛依": [84.77, 45.59],
            "渭南": [109.5, 34.52],
            "马鞍山": [118.48, 31.56],
            "宝鸡": [107.15, 34.38],
            "焦作": [113.21, 35.24],
            "句容": [119.16, 31.95],
            "北京": [116.46, 39.92],
            "徐州": [117.2, 34.26],
            "衡水": [115.72, 37.72],
            "包头": [110, 40.58],
            "绵阳": [104.73, 31.48],
            "乌鲁木齐": [87.68, 43.77],
            "枣庄": [117.57, 34.86],
            "杭州": [120.19, 30.26],
            "淄博": [118.05, 36.78],
            "鞍山": [122.85, 41.12],
            "溧阳": [119.48, 31.43],
            "库尔勒": [86.06, 41.68],
            "安阳": [114.35, 36.1],
            "开封": [114.35, 34.79],
            "济南": [117, 36.65],
            "德阳": [104.37, 31.13],
            "温州": [120.65, 28.01],
            "九江": [115.97, 29.71],
            "邯郸": [114.47, 36.6],
            "临安": [119.72, 30.23],
            "兰州": [103.73, 36.03],
            "沧州": [116.83, 38.33],
            "临沂": [118.35, 35.05],
            "南充": [106.110698, 30.837793],
            "天津": [117.2, 39.13],
            "富阳": [119.95, 30.07],
            "泰安": [117.13, 36.18],
            "诸暨": [120.23, 29.71],
            "郑州": [113.65, 34.76],
            "哈尔滨": [126.63, 45.75],
            "聊城": [115.97, 36.45],
            "芜湖": [118.38, 31.33],
            "唐山": [118.02, 39.63],
            "平顶山": [113.29, 33.75],
            "邢台": [114.48, 37.05],
            "德州": [116.29, 37.45],
            "济宁": [116.59, 35.38],
            "荆州": [112.239741, 30.335165],
            "宜昌": [111.3, 30.7],
            "义乌": [120.06, 29.32],
            "丽水": [119.92, 28.45],
            "洛阳": [112.44, 34.7],
            "秦皇岛": [119.57, 39.95],
            "株洲": [113.16, 27.83],
            "石家庄": [114.48, 38.03],
            "莱芜": [117.67, 36.19],
            "常德": [111.69, 29.05],
            "保定": [115.48, 38.85],
            "湘潭": [112.91, 27.87],
            "金华": [119.64, 29.12],
            "岳阳": [113.09, 29.37],
            "长沙": [113, 28.21],
            "衢州": [118.88, 28.97],
            "廊坊": [116.7, 39.53],
            "菏泽": [115.480656, 35.23375],
            "合肥": [117.27, 31.86],
            "武汉": [114.31, 30.52],
            "大庆": [125.03, 46.58]
        };

        var convertData = function(data) {
            var res = [];
            for (var i = 0; i < data.length; i++) {
                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: 200,
                calculable: true,
                color: ['#d94e5d', '#eac736', '#50a3ba'],
                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: {
                    emphasis: {
                        borderColor: '#fff',
                        borderWidth: 1
                    }
                }
            }]
        }

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

</html>

小项目

申请百度地图开发api
异步加载数据，获取经纬度
绘图，在地图上持续做标记
可导出图片
（可扩展手机号来源地查询，ip地址查询等）

<!DOCTYPE html>
<html lang="en">

<head>
    <meta charset="UTF-8">
    <title>Document</title>
    <link rel="stylesheet" href="bootstrap.min.css">
    <style>
        body {
            padding-top: 80px
        }
        
        #search-btn {
            margin-top: 20px;
        }
    </style>
</head>

<body>

    <div class="container">
        <div class="row">
            <div class="col-md-3 col-md-offset-3">
                <form class="form-horizontal">
                    <input id="place-input" type="text" class="form-control" value="故宫" 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 src='jquery.min.js'></script>
    <script src='echarts.min.js'></script>
    <script src='beijing.js'></script>
    <script>
        // 百度地图的开发者秘钥
        var token = 'fHrNQj6DHTjZtfTvfqbsuvTzKc5V9SBl'
        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) {
                    var loc
                    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: '2020要去的地方',
                    left: 'center',
                    textStyle: {
                        color: '#fff'
                    }
                },
                tooltip: {
                    trigger: 'item'
                },
                toolbox: {
                    show: true,
                    feature: {
                        saveAsImage: {
                            show: true
                        }
                    }
                },
                geo: {
                    map: '北京',
                    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;
                    },
                }]
            }
            myChart.setOption(option)
        }
    </script>
</body>

</html>

参考

https://github.com/shengxinjing/imooc-echarts

ECharts笔记

浏览器画图原理

下载安装

快速上手

常用图

标题

工具箱

弹窗

标记线和标记点

饼图

仪表图

地图

散点图

K线图

雷达图

高级使用

多个坐标轴

dataZoom

值域选择

小项目

参考