echarts图形化学习
2024-06-23 02:12:27
ECharts：一个纯 Javascript 的图表库，可以流畅的运行在 PC 和移动设备上，兼容当前绝大部分浏览器（IE8/9/10/11，Chrome，Firefox，Safari等），底层依赖轻量级的 Canvas 类库 ZRender，提供直观，生动，可交互，可高度个性化定制的数据可视化图表。
本文主要以 ECharts 3 进行学习，其中加入了更多丰富的交互功能以及更多的可视化效果，并且对移动端做了深度的优化。
首先可以通过Tags找到所需各种版本：
3.6.2下载：https://github.com/apache/incubator-echarts/tree/3.6.2
开始学习ECharts 3：
1.柱状图:
<!DOCTYPE html>
<html>
<head><meta charset="utf-8"><title>bar</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 option = {// 标题title: {text: 'ECharts 入门示例'},// 工具箱toolbox: {show: true,feature: {saveAsImage: {show: true}}},// 图例legend: {data: ['销量']},// x轴xAxis: {data: ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]},yAxis: {},// 数据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>
2.线状图
<!DOCTYPE html>
<html>
<head><meta charset="utf-8"><title>line</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 option = {title: {text: 'ECharts 入门示例'},toolbox: {show: true,feature: {saveAsImage: {show: true}}},legend: {data: ['销量','产量']},xAxis: {data: ["衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]},yAxis: {},series: [{name: '销量',type: 'line',data: [5, 20, 36, 10, 10, 20]},{name: '产量',type: 'line',data: [7, 30, 50, 11, 40, 80]}]
};// 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
</script>
</body>
</html>
3.标记最大、最小、平均值
<!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 option = {title: {text: 'ECharts 入门示例',},toolbox: {show: true,feature: {dataView:{show:true},restore:{show:true},dataZoom:{show:true},saveAsImage: {show: true},magicType: {type: ['line', 'bar']}}},tooltip: {trigger: 'axis'},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: 'line',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'}]}}]
};// 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
</script>
</body>
</html>
4.标题设置
<!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 option = {title: {show:true,text: 'ECharts 入门示例',subtext:'学习ECharts就来慕课网',left:'right', // 数字就是像素值 ，也可以是 center left right这种值borderColor:'red',borderWidth:5,
// textStyle:{
// fontSize:40
// }},toolbox: {show: true,feature: {saveAsImage: {show: true}}},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>
5.toolbox设置
<!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 option = {title: {text: 'ECharts 入门示例',},toolbox: {show: true,feature: {dataView:{show:true},restore:{show:true},dataZoom:{show:true},saveAsImage: {show: true},magicType: {type: ['line', 'bar']}}},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>
6.tooltip设置 （提示框组件）
<!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 option = {title: {text: 'ECharts 入门示例',},toolbox: {show: true,feature: {dataView:{show:true},restore:{show:true},dataZoom:{show:true},saveAsImage: {show: true},magicType: {type: ['line', 'bar']}}},tooltip: {trigger: 'axis'},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>
6.迈速表
<!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 option = {tooltip : {formatter: "{a} <br/>{b} : {c}%"},toolbox: {feature: {restore: {},saveAsImage: {}}},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);
</script>
</body>
</html>
7.股票用 Kline
<!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>
8.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>
8.饼状图
<!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 option = {title : {text: '某站点用户访问来源',subtext: '纯属虚构',x:'center'},tooltip : {trigger: 'item',formatter: "{a} <br/>{b} : {c} ({d}%)"},legend: {orient: 'vertical',left: 'left',data: ['直接访问','邮件营销','联盟广告','视频广告','搜索引擎']},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'}]}]
};// 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
</script>
</body>
</html>
9.雷达
<!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>
10.空气质量分布图
<!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>
11.空气质量分布图2（数据范围控制）
<!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>
12.大数据量折线图
<!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'));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: 0,end: 1}],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>
13.销量产量 柱状、折线图
<!DOCTYPE html>
<html>
<head><meta charset="utf-8"><title>line</title><!-- 引入 echarts.js --><script src="../echarts.min.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: 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'),'dark');// 指定图表的配置项和数据
var option = {title: {text: 'ECharts 入门示例'},toolbox: {show: true,feature: {saveAsImage: {show: true}}},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]},{name: '产量',type: 'line',data: [7, 30, 50, 11, 40, 80]}]
};// 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
</script>
</body>
</html>
14.蒸发量,降水量,平均温度图
<!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 = {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>
15.百度地图查找 地点
<!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="趵突泉" 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='../china.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 locif (res.status === 0) {loc = res.result.locationchartData.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: '2016要去的地方',left: 'center',textStyle: {color: '#fff'}},tooltip: {trigger: 'item'},toolbox: {show: true,feature: {saveAsImage: {show: true}}},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;},}]}myChart.setOption(option)
}</script>
</body>
</html>
imooc的echarts3入门教程：https://github.com/shengxinjing/imooc-echarts（引用老师的）
学习文档地址：https://echarts.baidu.com/option.html
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