Echarts 是网页的数据可视化方面的一个非常有用的库。使用 Echarts,开发者可以创建直观的、可自定义的交互式图表,让数据的展示和分析变得十分容易。
由于 Echarts 是用普通的 JavaScript 编写的,所以 Echarts 不存在其它图表库存在的无法无缝迁移的问题。
同时,Echarts 也提供了很多官方文档供用户查看。
使用 npm 可以很容易的完成 Echarts 的安装:
npm install echarts --save
Echarts 绘制散点图代码示例:
var dom = document.getElementById("container"); var myChart = echarts.init(dom); var app = {}; option = null; option = { title: { text: 'Large-scale scatterplot' }, tooltip : { trigger: 'axis', showDelay : 0, axisPointer:{ show: true, type : 'cross', lineStyle: { type : 'dashed', width : 1 } }, zlevel: 1 }, legend: { data:['sin','cos'] }, toolbox: { show : true, feature : { mark : {show: true}, dataZoom : {show: true}, dataView : {show: true, readOnly: false}, restore : {show: true}, saveAsImage : {show: true} } }, xAxis : [ { type : 'value', scale:true } ], yAxis : [ { type : 'value', scale:true } ], series : [ { name:'sin', type:'scatter', large: true, symbolSize: 3, data: (function () { var d = []; var len = 10000; var x = 0; while (len--) { x = (Math.random() * 10).toFixed(3) - 0; d.push([ x, //Math.random() * 10 (Math.sin(x) - x * (len % 2 ? 0.1 : -0.1) * Math.random()).toFixed(3) - 0 ]); } //console.log(d) return d; })() }, { name:'cos', type:'scatter', large: true, symbolSize: 2, data: (function () { var d = []; var len = 20000; var x = 0; while (len--) { x = (Math.random() * 10).toFixed(3) - 0; d.push([ x, //Math.random() * 10 (Math.cos(x) - x * (len % 2 ? 0.1 : -0.1) * Math.random()).toFixed(3) - 0 ]); } //console.log(d) return d; })() } ] }; ; if (option && typeof option === "object") { myChart.setOption(option, true); }
NVD3
NVD3 是由 Mike Bostock 撰写的基于 D3 的 JavaScript 库。NVD3 允许用户在 Web 应用程序中创建美观的、可复用的图表。
NVD3 具有很强大的图表功能,能够很方便的创建箱形图、旭日形和烛台图等。如果用户想在 JavaScript 图表库中用到大量的能力,推荐试用 NVD3
NVD3 图表库的速度有时可能会成为一个问题,与 Fastdom 安装配合使用,速度会更快。
NVD3 绘制简单的折线图代码示例:
/*These lines are all chart setup. Pick and choose which chart features you want to utilize. */ nv.addGraph(function() { var chart = nv.models.lineChart() .margin({left: 100}) //Adjust chart margins to give the x-axis some breathing room. .useInteractiveGuideline(true) //We want nice looking tooltips and a guideline! .transitionDuration(350) //how fast do you want the lines to transition? .showLegend(true) //Show the legend, allowing users to turn on/off line series. .showYAxis(true) //Show the y-axis .showXAxis(true) //Show the x-axis ; chart.xAxis //Chart x-axis settings .axisLabel('Time (ms)') .tickFormat(d3.format(',r')); chart.yAxis //Chart y-axis settings .axisLabel('Voltage (v)') .tickFormat(d3.format('.02f')); /* Done setting the chart up? Time to render it!*/ var myData = sinAndCos(); //You need data... d3.select('#chart svg') //Select the <svg> element you want to render the chart in. .datum(myData) //Populate the <svg> element with chart data... .call(chart); //Finally, render the chart! //Update the chart when window resizes. nv.utils.windowResize(function() { chart.update() }); return chart; }); /************************************** * Simple test data generator */ function sinAndCos() { var sin = [],sin2 = [], cos = []; //Data is represented as an array of {x,y} pairs. for (var i = 0; i < 100; i++) { sin.push({x: i, y: Math.sin(i/10)}); sin2.push({x: i, y: Math.sin(i/10) *0.25 + 0.5}); cos.push({x: i, y: .5 * Math.cos(i/10)}); } //Line chart data should be sent as an array of series objects. return [ { values: sin, //values - represents the array of {x,y} data points key: 'Sine Wave', //key - the name of the series. color: '#ff7f0e' //color - optional: choose your own line color. }, { values: cos, key: 'Cosine Wave', color: '#2ca02c' }, { values: sin2, key: 'Another sine wave', color: '#7777ff', area: true //area - set to true if you want this line to turn into a filled area chart. } ]; }
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