利用ECharts.js画K线图的方法示例_javascript技巧

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前言

最近有一个统计的项目要做,在前端的数据需要用图表的形式展示。网上搜索了一下,发现有几种统计图库。

MSChart

这个是Visual Studio里的自带控件,使用比较简单,不过数据这块需要在后台绑定。

ichartjs

是一款基于HTML5的图形库。使用纯javascript语言, 利用HTML5的canvas标签绘制各式图形。 支持饼图、环形图、折线图、面积图、柱形图、条形图等。

Chart.js

也是一款基于HTML5的图形库和ichartjs整体类似。不过Chart.js的教程文档没有ichartjs的详细。不过感觉在对于移动的适配上感觉比ichartjs要好一点。

ECharts.js

这是我准备在这个项目中使用的图形库,这也是一款基于HTML5的图形库。图形的创建也比较简单,直接引用Javascript即可。使用这个库的原因主要有三点,一个是因为这个库是百度的项目,而且一直有更新,目前最新的是EChart 3;第二个是这个库的项目文档比较详细,每个点都说明的比较清楚,而且是中文的,理解比较容易;第三点是这个库支持的图形很丰富,并且可以直接切换图形,使用起来很方便。

准备工作:

需引入echarts.js插件,开发环境建议选择源代码版本,该版本包含了常见的警告和错误提示。

官网下载地址: http://echarts.baidu.com/download.html

最新版本下载:http://en.web-program.aiseen.org/codes/262041.html

更多用法可以参考这篇文章:http://en.web-program.aiseen.org/article/120902.htm

下面是代码,注释很清楚,主要是js代码,可根据项目进行增删!

配置项说明: http://echarts.baidu.com/option.html#title

示例代码

<!DOCTYPE html>
<html>
<head>
 <meta charset="utf-8">
 <title>5分钟上手ECharts</title>
 <!-- 引入ECharts文件 -->
 <script type="text/javascript" src="./echarts.js"></script>
</head>
<body>
 <!-- 为ECharts准备一个具备大小(宽高)的DOM -->
 <div id="main" style="width: 1200px; height: 600px;"></div> 
<!-- js代码 -->
 <script type="text/javascript">

 /*基于准备好的dom,初始化echarts实例*/
 var myChart = echarts.init(document.getElementById('main'));

 // 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]
 ]);
 //切割数组,把数组中的日期和数据分离,返回数组中的日期和数据
 function splitData(rawData) {
  var categoryData = [];
  var values = [];
  
  for (var i = 0; i < rawData.length; i++) {
  //splice 返回每组数组中被删除的第一项,即返回数组中被删除的日期 
  //alert(rawData[i].splice(0, 1)[0]);
  //categoryData 日期 把返回的日期放到categoryData[]数组中
  categoryData.push(rawData[i].splice(0, 1)[0]);
  //alert(categoryData);

  //数据数组,即数组中除日期外的数据
  // alert(rawData[i]);
  values.push(rawData[i])
  }
  return {
  categoryData: categoryData, //数组中的日期 x轴对应的日期
  values: values  //数组中的数据 y轴对应的数据
  };
 }
 //计算MA平均线,N日移动平均线=N日收盘价之和/N dayCount要计算的天数(5,10,20,30)
 function calculateMA(dayCount) {
  var result = [];
  for (var i = 0, len = data0.values.length; i < len; i++) {
  if (i < dayCount) {
   result.push('-');
   //alert(result);
   continue; //结束单次循环,即不输出本次结果
  }
  var sum = 0;
  for (var j = 0; j < dayCount; j++) {
   //收盘价总和
   sum += data0.values[i - j][1];
   //alert(sum);
  }
  result.push(sum / dayCount);
  // alert(result);
  }
  return result;
 }
 option = {
  title: { //标题
  text: '上证指数',
  left: 0
  },
  tooltip: { //提示框
  trigger: 'axis', //触发类型:坐标轴触发
  axisPointer: { //坐标轴指示器配置项
   type: 'cross' //指示器类型,十字准星
  }
  },
  legend: { //图例控件,点击图例控制哪些系列不现实
  data: ['日K', 'MA5', 'MA10', 'MA20', 'MA30']
  },
  grid: { //直角坐标系
  show:true,
  left: '10%', //grid组件离容器左侧的距离
  right: '10%',
  bottom: '15%',
  //backgroundColor:'#ccc'
  },
  xAxis: {
  type: 'category', //坐标轴类型,类目轴
  data: data0.categoryData,
  //scale: true, //只在数字轴中有效
  boundaryGap : false, //刻度作为分割线,标签和数据点会在两个刻度上
  axisLine: {onZero: false},
  splitLine: {show: false}, //是否显示坐标轴轴线
  //splitNumber: 20, //坐标轴的分割段数,预估值,在类目轴中无效
  min: 'dataMin', //特殊值,数轴上的最小值作为最小刻度
  max: 'dataMax' //特殊值,数轴上的最大值作为最大刻度
  },
  yAxis: {
  scale: true, //坐标刻度不强制包含零刻度
  splitArea: {
   show: true //显示分割区域
  }
  },
  dataZoom: [ //用于区域缩放
  {
   filterMode:'filter', //当前数据窗口外的数据被过滤掉来达到数据窗口缩放的效果 默认值filter
   type: 'inside', //内置型数据区域缩放组件
   start: 50, //数据窗口范围的起始百分比
   end: 100 //数据窗口范围的结束百分比
  },
  {
   show: true,
   type: 'slider', //滑动条型数据区域缩放组件
   y: '90%',
   start: 50,
   end: 100
  }
  ],
  series: [ //图表类型
  {
   name: '日K',
   type: 'candlestick', //K线图
   data: data0.values, //y轴对应的数据
 ////////////////////////图标标注/////////////////////////////
   markPoint: { //图表标注
   label: { //标注的文本
    normal: { //默认不显示标注
    show:true,
    //position:['20%','30%'],
    formatter: function (param) { //标签内容控制器
     return param != null ? Math.round(param.value) : '';
    }
    }
   },
   data: [ //标注的数据数组
    {
    name: 'XX标点',
    coord: ['2013/5/31', 2300], //指定数据的坐标位置
    value: 2300,
    itemStyle: { //图形样式
     normal: {color: 'rgb(41,60,85)'}
    }
    },
    {
    name: 'highest value',
    type: 'max', //最大值
    valueDim: 'highest' //在highest维度上的最大值 最高价
    },
    {
    name: 'lowest value',
    type: 'min',
    valueDim: 'lowest' //最低价
    },
    {
    name: 'average value on close',
    type: 'average',
    valueDim: 'close' //收盘价
    }
   ],
   tooltip: { //提示框
    formatter: function (param) {
    return param.name + '<br>' + (param.data.coord || '');
    }
   }
   },
/////////////////////////////////图标标线///////////////////////////
   markLine: {
   symbol: ['none', 'none'], //标线两端的标记类型
   data: [
    [
    {
     name: 'from lowest to highest',
     type: 'min', //设置该标线为最小值的线
     valueDim: 'lowest', //指定在哪个维度上的最小值
     symbol: 'circle',
     symbolSize: 10, //起点标记的大小
     label: { //normal默认,emphasis高亮
     normal: {show: false}, //不显示标签
     emphasis: {show: false} //不显示标签
     }
    },
    {
     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'
    }
   ]

   }

  },

  { //MA5 5天内的收盘价之和/5
   name: 'MA5',
   type: 'line',
   data: calculateMA(5),
   smooth: true,
   lineStyle: {
   normal: {opacity: 0.5}
   }
  },
  {
   name: 'MA10',
   type: 'line',
   data: calculateMA(10),
   smooth: true,
   lineStyle: { //标线的样式
   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>

运行结果:

总结

以上就是这篇文章的全部内容了,希望本文的内容对大家的学习或者工作具有一定的参考学习价值,如果有疑问大家可以留言交流,谢谢大家对脚本之家的支持。

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