highcharts的基本使用(转载)
1 概述
Highcharts是一个跨浏览器的JavaScript图表控件,支持柱状图、趋势图、面积图、饼图、环形图、组合图、堆积图、散点图。 Highcharts图表的基本功能,只需要引入两个JS类库即可,一个是jquery类库,另外一个就是它本身的类库。但是如果需要支持主题和导出图表 功能,就需要引入其它相应的JS类库。
官方网站网址:http://www.highcharts.com/
参考手册网址:http://www.highcharts.com/ref/
示例网址:http://www.highcharts.com/demo/
2 Highcharts使用
2.1 概述
第一步,引入js库。引入最少js库代码如下所示。
| <script type="text/javascript" src="../js/jquery.min.js"></script>
<script type="text/javascript" src="../js/highcharts.js"></script> |
第二步,在页面中创建图表容器。示例代码如下所示。
| <div id="container" style="min-width: 400px; height: 400px; margin: 0 auto"></div> |
第三步,创建图表js对象。
2.2 图表构造参数常用属性
1 chart
1.1 renderTo:图表的页面显示容器的ID
1.2 defaultSeriesType:图表的显示类型(line,spline, scatter, splinearea bar, pie, area, column)
1.3 margin:上下左右空隙
1.4 events:事件
1.4.1 click:function(e) {}
1.4.2 load:function(e) {}
2 xAxis/yAxis
2.1 gridLineColor:网格颜色
2.2 reversed:是否反向 true ,false
2.3 gridLineWidth:网格粗细
2.4 startOnTick:是否从坐标线开始画图区域
2.5 endOnTick:是否从坐标线结束画图区域
2.6 tickmarkPlacement:坐标值与坐标线标记的对齐方式on,between
2.7 tickPosition:坐标线标记的样式 向内延伸还是向外延伸(insidel,outside)
2.8 tickPixelInterval:决定着横坐标的密度
2.9 tickColor:坐标线标记的颜色
2.10 tickWidth:坐标线标记的宽度
2.11 lineColor:基线颜色
2.12 lineWidth:基线宽度
2.13 max:固定坐标最大值
2.14 min:固定坐标最小值
2.15 plotlines:标线属性
2.16 title
2.16.1 enabled:是否显示
2.16.2 text:坐标名称
2.17 Labels:坐标轴值显示类
2.17.1 formatter:格式化函数
2.17.2 enabled:是否显示坐标轴的坐标值
2.17.3 rotation:倾斜角度
2.17.4 align:与坐标线的水平相对位置
2.17.5 x:水平偏移量
2.17.6 y:垂直偏移量
2.17.7 style
2.17.7.1 font:字体样式
2.17.7.2 color:颜色
3 Tooltip:数据点的提示框
3.1 enabled:鼠标经过时是否可动态呈现true,false
3.2 formatter:格式化提示框的内容样式
4 plotOptions:画各种图表的数据点的设置
4.1 Area类
4.1.1 lineWidth:线宽度
4.1.2 fillColor:area的填充颜色组
4.1.3 marker{}:设置动态属性
4.1.4 shadow:是否阴影 true,false
4.1.5 states:设置状态
4.2 Line类
4.2.1 dataLabels:数据显示类
4.2.1.1 enabled:是否直接显示点的数据true,false
5 series
5.1 name:该条曲线名称
5.2 data[]:该条曲线的数据项
5.3 addPoint([x,y],redraw,cover) :添加描点,redraw 是否重画,cover是否左移
5.4 setData: function(data, redraw) :重新设置Data数组,redraw是否重画
5.5 remove: function(redraw) :删除曲线
5.6 redraw: function():重画曲线
5.7 marker
5.7.1 enabled:是否显示描点
2.3 柱状图
2.3.1 图形效果
2.3.2 Js代码
| <script type="text/javascript">
var chart; $(document).ready(function() { chart = new Highcharts.Chart({ chart: { renderTo: 'container', type: 'column' }, title: { text: 'Monthly Average Rainfall' }, subtitle: { text: 'Source: WorldClimate.com' }, xAxis: { categories: [ 'Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec' ] }, yAxis: { min: 0, title: { text: 'Rainfall (mm)' } }, legend: { layout: 'vertical', backgroundColor: '#FFFFFF', align: 'left', verticalAlign: 'top', x: 100, y: 70, floating: true, shadow: true }, tooltip: { formatter: function() { return ''+this.x +': '+ this.y +' mm'; } }, plotOptions: { column: { pointPadding: 0.2, borderWidth: 0 } }, series: [{ name: 'Tokyo', data: [49.9, 71.5, 106.4, 129.2, 144.0, 176.0, 135.6, 148.5, 216.4, 194.1, 95.6, 54.4] }, { name: 'New York', data: [83.6, 78.8, 98.5, 93.4, 106.0, 84.5, 105.0, 104.3, 91.2, 83.5, 106.6, 92.3] }, { name: 'London', data: [48.9, 38.8, 39.3, 41.4, 47.0, 48.3, 59.0, 59.6, 52.4, 65.2, 59.3, 51.2] }, { name: 'Berlin', data: [42.4, 33.2, 34.5, 39.7, 52.6, 75.5, 57.4, 60.4, 47.6, 39.1, 46.8, 51.1] }] }); }); </script> |
2.4 趋势图
2.4.1 图形效果
2.4.2 Js代码
| <script type="text/javascript">
var chart; $(document).ready(function() { chart = new Highcharts.Chart({ chart: { renderTo: 'container', type: 'line', marginRight: 130, marginBottom: 25 }, title: { text: 'Monthly Average Temperature', x: -20 //center }, subtitle: { text: 'Source: WorldClimate.com', x: -20 }, xAxis: { categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'] }, yAxis: { title: { text: 'Temperature (¡ãC)' }, plotLines: [{ value: 0, width: 1, color: '#808080' }] }, tooltip: { formatter: function() { return '<b>'+ this.series.name +'</b><br/>'+ this.x +': '+ this.y +'¡ãC'; } }, legend: { layout: 'vertical', align: 'right', verticalAlign: 'top', x: -10, y: 100, borderWidth: 0 }, series: [{ name: 'Tokyo', data: [7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6] }, { name: 'New York', data: [-0.2, 0.8, 5.7, 11.3, 17.0, 22.0, 24.8, 24.1, 20.1, 14.1, 8.6, 2.5] }, { name: 'Berlin', data: [-0.9, 0.6, 3.5, 8.4, 13.5, 17.0, 18.6, 17.9, 14.3, 9.0, 3.9, 1.0] }, { name: 'London', data: [3.9, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8] }] }); }); </script> |
2.5 面积图
2.5.1 图形效果
2.5.2 Js代码
| <script type="text/javascript">
var chart; $(document).ready(function() { chart = new Highcharts.Chart({ chart: { renderTo: 'container', type: 'area' }, title: { text: 'US and USSR nuclear stockpiles' }, subtitle: { text: 'Source: <a href="http://thebulletin.metapress.com/content/c4120650912x74k7/fulltext.pdf">'+ 'thebulletin.metapress.com</a>' }, xAxis: { labels: { formatter: function() { return this.value; // clean, unformatted number for year } } }, yAxis: { title: { text: 'Nuclear weapon states' }, labels: { formatter: function() { return this.value / 1000 +'k'; } } }, tooltip: { formatter: function() { return this.series.name +' produced <b>'+ Highcharts.numberFormat(this.y, 0) +'</b><br/>warheads in '+ this.x; } }, plotOptions: { area: { pointStart: 1940, marker: { enabled: false, symbol: 'circle', radius: 2, states: { hover: { enabled: true } } } } }, series: [{ name: 'USA', data: [null, null, null, null, null, 6 , 11, 32, 110, 235, 369, 640, 1005, 1436, 2063, 3057, 4618, 6444, 9822, 15468, 20434, 24126, 27387, 29459, 31056, 31982, 32040, 31233, 29224, 27342, 26662, 26956, 27912, 28999, 28965, 27826, 25579, 25722, 24826, 24605, 24304, 23464, 23708, 24099, 24357, 24237, 24401, 24344, 23586, 22380, 21004, 17287, 14747, 13076, 12555, 12144, 11009, 10950, 10871, 10824, 10577, 10527, 10475, 10421, 10358, 10295, 10104 ] }, { name: 'USSR/Russia', data: [null, null, null, null, null, null, null , null , null ,null, 5, 25, 50, 120, 150, 200, 426, 660, 869, 1060, 1605, 2471, 3322, 4238, 5221, 6129, 7089, 8339, 9399, 10538, 11643, 13092, 14478, 15915, 17385, 19055, 21205, 23044, 25393, 27935, 30062, 32049, 33952, 35804, 37431, 39197, 45000, 43000, 41000, 39000, 37000, 35000, 33000, 31000, 29000, 27000, 25000, 24000, 23000, 22000, 21000, 20000, 19000, 18000, 18000, 17000, 16000] }] }); }); </script> |
2.6 饼图
2.6.1 图形效果
2.6.2 Js代码
| <script type="text/javascript">
var chart; $(document).ready(function() { chart = new Highcharts.Chart({ chart: { renderTo: 'container', plotBackgroundColor: null, plotBorderWidth: null, plotShadow: false }, title: { text: 'Browser market shares at a specific website, 2010' }, tooltip: { formatter: function() { return '<b>'+ this.point.name +'</b>: '+ this.percentage +' %'; } }, plotOptions: { pie: { allowPointSelect: true, cursor: 'pointer', dataLabels: { enabled: true, color: '#000000', connectorColor: '#000000', formatter: function() { return '<b>'+ this.point.name +'</b>: '+ this.percentage +' %'; } } } }, series: [{ type: 'pie', name: 'Browser share', data: [ ['Firefox', 45.0], ['IE', 26.8], { name: 'Chrome', y: 12.8, sliced: true, selected: true }, ['Safari', 8.5], ['Opera', 6.2], ['Others', 0.7] ] }] }); }); </script> |
2.7 环形图
2.7.1 图形效果
2.7.2 Js代码
| <script type="text/javascript">
var chart; $(document).ready(function() { var colors = Highcharts.getOptions().colors, categories = ['MSIE', 'Firefox', 'Chrome', 'Safari', 'Opera'], name = 'Browser brands', data = [{ y: 55.11, color: colors[0], drilldown: { name: 'MSIE versions', categories: ['MSIE 6.0', 'MSIE 7.0', 'MSIE 8.0', 'MSIE 9.0'], data: [10.85, 7.35, 33.06, 2.81], color: colors[0] } }, { y: 21.63, color: colors[1], drilldown: { name: 'Firefox versions', categories: ['Firefox 2.0', 'Firefox 3.0', 'Firefox 3.5', 'Firefox 3.6', 'Firefox 4.0'], data: [0.20, 0.83, 1.58, 13.12, 5.43], color: colors[1] } }, { y: 11.94, color: colors[2], drilldown: { name: 'Chrome versions', categories: ['Chrome 5.0', 'Chrome 6.0', 'Chrome 7.0', 'Chrome 8.0', 'Chrome 9.0', 'Chrome 10.0', 'Chrome 11.0', 'Chrome 12.0'], data: [0.12, 0.19, 0.12, 0.36, 0.32, 9.91, 0.50, 0.22], color: colors[2] } }, { y: 7.15, color: colors[3], drilldown: { name: 'Safari versions', categories: ['Safari 5.0', 'Safari 4.0', 'Safari Win 5.0', 'Safari 4.1', 'Safari/Maxthon', 'Safari 3.1', 'Safari 4.1'], data: [4.55, 1.42, 0.23, 0.21, 0.20, 0.19, 0.14], color: colors[3] } }, { y: 2.14, color: colors[4], drilldown: { name: 'Opera versions', categories: ['Opera 9.x', 'Opera 10.x', 'Opera 11.x'], data: [ 0.12, 0.37, 1.65], color: colors[4] } }]; // Build the data arrays var browserData = []; var versionsData = []; for (var i = 0; i < data.length; i++) { // add browser data browserData.push({ name: categories[i], y: data[i].y, color: data[i].color }); // add version data for (var j = 0; j < data[i].drilldown.data.length; j++) { var brightness = 0.2 - (j / data[i].drilldown.data.length) / 5 ; versionsData.push({ name: data[i].drilldown.categories[j], y: data[i].drilldown.data[j], color: Highcharts.Color(data[i].color).brighten(brightness).get() }); } } // Create the chart chart = new Highcharts.Chart({ chart: { renderTo: 'container', type: 'pie' }, title: { text: 'Browser market share, April, 2011' }, yAxis: { title: { text: 'Total percent market share' } }, plotOptions: { pie: { shadow: false } }, tooltip: { formatter: function() { return '<b>'+ this.point.name +'</b>: '+ this.y +' %'; } }, series: [{ name: 'Browsers', data: browserData, size: '60%', dataLabels: { formatter: function() { return this.y > 5 ? this.point.name : null; }, color: 'white', distance: -30 } }, { name: 'Versions', data: versionsData, innerSize: '60%', dataLabels: { formatter: function() { // display only if larger than 1 return this.y > 1 ? '<b>'+ this.point.name +':</b> '+ this.y +'%' : null; } } }] }); }); </script> |
2.8 组合图
2.8.1 图形效果
2.8.2 Js代码
| <script type="text/javascript">
var chart; $(document).ready(function() { chart = new Highcharts.Chart({ chart: { renderTo: 'container' }, title: { text: 'Combination chart' }, xAxis: { categories: ['Apples', 'Oranges', 'Pears', 'Bananas', 'Plums'] }, tooltip: { formatter: function() { var s; if (this.point.name) { // the pie chart s = ''+ this.point.name +': '+ this.y +' fruits'; } else { s = ''+ this.x +': '+ this.y; } return s; } }, labels: { items: [{ html: 'Total fruit consumption', style: { left: '40px', top: '8px', color: 'black' } }] }, series: [{ type: 'column', name: 'Jane', data: [3, 2, 1, 3, 4] }, { type: 'column', name: 'John', data: [2, 3, 5, 7, 6] }, { type: 'column', name: 'Joe', data: [4, 3, 3, 9, 0] }, { type: 'spline', name: 'Average', data: [3, 2.67, 3, 6.33, 3.33] }, { type: 'pie', name: 'Total consumption', data: [{ name: 'Jane', y: 13, color: '#4572A7' // Jane's color }, { name: 'John', y: 23, color: '#AA4643' // John's color }, { name: 'Joe', y: 19, color: '#89A54E' // Joe's color }], center: [100, 80], size: 100, showInLegend: false, dataLabels: { enabled: false } }] }); }); </script> |
2.9 堆积图
2.9.1 图形效果
2.9.2 Js代码
| <script type="text/javascript">
var chart; $(document).ready(function() { chart = new Highcharts.Chart({ chart: { renderTo: 'container', type: 'column' }, title: { text: 'Stacked column chart' }, xAxis: { categories: ['Apples', 'Oranges', 'Pears', 'Grapes', 'Bananas'] }, yAxis: { min: 0, title: { text: 'Total fruit consumption' }, stackLabels: { enabled: true, style: { fontWeight: 'bold', color: (Highcharts.theme && Highcharts.theme.textColor) || 'gray' } } }, legend: { align: 'right', x: -100, verticalAlign: 'top', y: 20, floating: true, backgroundColor: (Highcharts.theme && Highcharts.theme.legendBackgroundColorSolid) || 'white', borderColor: '#CCC', borderWidth: 1, shadow: false }, tooltip: { formatter: function() { return '<b>'+ this.x +'</b><br/>'+ this.series.name +': '+ this.y +'<br/>'+ 'Total: '+ this.point.stackTotal; } }, plotOptions: { column: { stacking: 'normal', dataLabels: { enabled: true, color: (Highcharts.theme && Highcharts.theme.dataLabelsColor) || 'white' } } }, series: [{ name: 'John', data: [5, 3, 4, 7, 2] }, { name: 'Jane', data: [2, 2, 3, 2, 1] }, { name: 'Joe', data: [3, 4, 4, 2, 5] }] }); }); </script> |
2.10 散点图
2.10.1 图形效果
2.10.2 Js代码
<script type="text/javascript">
var chart;
$(document).ready(function() {
chart = new Highcharts.Chart({
chart: {
renderTo: 'container',
type: 'scatter',
zoomType: 'xy'
},
title: {
text: 'Height Versus Weight of 507 Individuals by Gender'
},
subtitle: {
text: 'Source: Heinz 2003'
},
xAxis: {
title: {
enabled: true,
text: 'Height (cm)'
},
startOnTick: true,
endOnTick: true,
showLastLabel: true
},
yAxis: {
title: {
text: 'Weight (kg)'
}
},
tooltip: {
formatter: function() {
return ''+
this.x +' cm, '+ this.y +' kg';
}
},
legend: {
layout: 'vertical',
align: 'left',
verticalAlign: 'top',
x: 100,
y: 70,
floating: true,
backgroundColor: '#FFFFFF',
borderWidth: 1
},
plotOptions: {
scatter: {
marker: {
radius: 5,
states: {
hover: {
enabled: true,
lineColor: 'rgb(100,100,100)'
}
}
},
states: {
hover: {
marker: {
enabled: false
}
}
}
}
},
series: [{
name: 'Female',
color: 'rgba(223, 83, 83, .5)',
data: [[161.2, 51.6], [167.5, 59.0], [159.5, 49.2], [157.0, 63.0], [155.8, 53.6],
[170.0, 59.0], [159.1, 47.6], [166.0, 69.8], [176.2, 66.8], [160.2, 75.2],
[172.5, 55.2], [170.9, 54.2], [172.9, 62.5], [153.4, 42.0], [160.0, 50.0],
[147.2, 49.8], [168.2, 49.2], [175.0, 73.2], [157.0, 47.8], [167.6, 68.8],
[159.5, 50.6], [175.0, 82.5], [166.8, 57.2], [176.5, 87.8], [170.2, 72.8],
[174.0, 54.5], [173.0, 59.8], [179.9, 67.3], [170.5, 67.8], [160.0, 47.0],
[154.4, 46.2], [162.0, 55.0], [176.5, 83.0], [160.0, 54.4], [152.0, 45.8],
[162.1, 53.6], [170.0, 73.2], [160.2, 52.1], [161.3, 67.9], [166.4, 56.6],
[168.9, 62.3], [163.8, 58.5], [167.6, 54.5], [160.0, 50.2], [161.3, 60.3],
[167.6, 58.3], [165.1, 56.2], [160.0, 50.2], [170.0, 72.9], [157.5, 59.8],
[167.6, 61.0], [160.7, 69.1], [163.2, 55.9], [152.4, 46.5], [157.5, 54.3],
[168.3, 54.8], [180.3, 60.7], [165.5, 60.0], [165.0, 62.0], [164.5, 60.3],
[156.0, 52.7], [160.0, 74.3], [163.0, 62.0], [165.7, 73.1], [161.0, 80.0],
[162.0, 54.7], [166.0, 53.2], [174.0, 75.7], [172.7, 61.1], [167.6, 55.7],
[151.1, 48.7], [164.5, 52.3], [163.5, 50.0], [152.0, 59.3], [169.0, 62.5],
[164.0, 55.7], [161.2, 54.8], [155.0, 45.9], [170.0, 70.6], [176.2, 67.2],
[170.0, 69.4], [162.5, 58.2], [170.3, 64.8], [164.1, 71.6], [169.5, 52.8],
[163.2, 59.8], [154.5, 49.0], [159.8, 50.0], [173.2, 69.2], [170.0, 55.9],
[161.4, 63.4], [169.0, 58.2], [166.2, 58.6], [159.4, 45.7], [162.5, 52.2],
[159.0, 48.6], [162.8, 57.8], [159.0, 55.6], [179.8, 66.8], [162.9, 59.4],
[161.0, 53.6], [151.1, 73.2], [168.2, 53.4], [168.9, 69.0], [173.2, 58.4],
[171.8, 56.2], [178.0, 70.6], [164.3, 59.8], [163.0, 72.0], [168.5, 65.2],
[166.8, 56.6], [172.7, 105.2], [163.5, 51.8], [169.4, 63.4], [167.8, 59.0],
[159.5, 47.6], [167.6, 63.0], [161.2, 55.2], [160.0, 45.0], [163.2, 54.0],
[162.2, 50.2], [161.3, 60.2], [149.5, 44.8], [157.5, 58.8], [163.2, 56.4],
[172.7, 62.0], [155.0, 49.2], [156.5, 67.2], [164.0, 53.8], [160.9, 54.4],
[162.8, 58.0], [167.0, 59.8], [160.0, 54.8], [160.0, 43.2], [168.9, 60.5],
[158.2, 46.4], [156.0, 64.4], [160.0, 48.8], [167.1, 62.2], [158.0, 55.5],
[167.6, 57.8], [156.0, 54.6], [162.1, 59.2], [173.4, 52.7], [159.8, 53.2],
[170.5, 64.5], [159.2, 51.8], [157.5, 56.0], [161.3, 63.6], [162.6, 63.2],
[160.0, 59.5], [168.9, 56.8], [165.1, 64.1], [162.6, 50.0], [165.1, 72.3],
[166.4, 55.0], [160.0, 55.9], [152.4, 60.4], [170.2, 69.1], [162.6, 84.5],
[170.2, 55.9], [158.8, 55.5], [172.7, 69.5], [167.6, 76.4], [162.6, 61.4],
[167.6, 65.9], [156.2, 58.6], [175.2, 66.8], [172.1, 56.6], [162.6, 58.6],
[160.0, 55.9], [165.1, 59.1], [182.9, 81.8], [166.4, 70.7], [165.1, 56.8],
[177.8, 60.0], [165.1, 58.2], [175.3, 72.7], [154.9, 54.1], [158.8, 49.1],
[172.7, 75.9], [168.9, 55.0], [161.3, 57.3], [167.6, 55.0], [165.1, 65.5],
[175.3, 65.5], [157.5, 48.6], [163.8, 58.6], [167.6, 63.6], [165.1, 55.2],
[165.1, 62.7], [168.9, 56.6], [162.6, 53.9], [164.5, 63.2], [176.5, 73.6],
[168.9, 62.0], [175.3, 63.6], [159.4, 53.2], [160.0, 53.4], [170.2, 55.0],
[162.6, 70.5], [167.6, 54.5], [162.6, 54.5], [160.7, 55.9], [160.0, 59.0],
[157.5, 63.6], [162.6, 54.5], [152.4, 47.3], [170.2, 67.7], [165.1, 80.9],
[172.7, 70.5], [165.1, 60.9], [170.2, 63.6], [170.2, 54.5], [170.2, 59.1],
[161.3, 70.5], [167.6, 52.7], [167.6, 62.7], [165.1, 86.3], [162.6, 66.4],
[152.4, 67.3], [168.9, 63.0], [170.2, 73.6], [175.2, 62.3], [175.2, 57.7],
[160.0, 55.4], [165.1, 104.1], [174.0, 55.5], [170.2, 77.3], [160.0, 80.5],
[167.6, 64.5], [167.6, 72.3], [167.6, 61.4], [154.9, 58.2], [162.6, 81.8],
[175.3, 63.6], [171.4, 53.4], [157.5, 54.5], [165.1, 53.6], [160.0, 60.0],
[174.0, 73.6], [162.6, 61.4], [174.0, 55.5], [162.6, 63.6], [161.3, 60.9],
[156.2, 60.0], [149.9, 46.8], [169.5, 57.3], [160.0, 64.1], [175.3, 63.6],
[169.5, 67.3], [160.0, 75.5], [172.7, 68.2], [162.6, 61.4], [157.5, 76.8],
[176.5, 71.8], [164.4, 55.5], [160.7, 48.6], [174.0, 66.4], [163.8, 67.3]]
}, {
name: 'Male',
color: 'rgba(119, 152, 191, .5)',
data: [[174.0, 65.6], [175.3, 71.8], [193.5, 80.7], [186.5, 72.6], [187.2, 78.8],
[181.5, 74.8], [184.0, 86.4], [184.5, 78.4], [175.0, 62.0], [184.0, 81.6],
[180.0, 76.6], [177.8, 83.6], [192.0, 90.0], [176.0, 74.6], [174.0, 71.0],
[184.0, 79.6], [192.7, 93.8], [171.5, 70.0], [173.0, 72.4], [176.0, 85.9],
[176.0, 78.8], [180.5, 77.8], [172.7, 66.2], [176.0, 86.4], [173.5, 81.8],
[178.0, 89.6], [180.3, 82.8], [180.3, 76.4], [164.5, 63.2], [173.0, 60.9],
[183.5, 74.8], [175.5, 70.0], [188.0, 72.4], [189.2, 84.1], [172.8, 69.1],
[170.0, 59.5], [182.0, 67.2], [170.0, 61.3], [177.8, 68.6], [184.2, 80.1],
[186.7, 87.8], [171.4, 84.7], [172.7, 73.4], [175.3, 72.1], [180.3, 82.6],
[182.9, 88.7], [188.0, 84.1], [177.2, 94.1], [172.1, 74.9], [167.0, 59.1],
[169.5, 75.6], [174.0, 86.2], [172.7, 75.3], [182.2, 87.1], [164.1, 55.2],
[163.0, 57.0], [171.5, 61.4], [184.2, 76.8], [174.0, 86.8], [174.0, 72.2],
[177.0, 71.6], [186.0, 84.8], [167.0, 68.2], [171.8, 66.1], [182.0, 72.0],
[167.0, 64.6], [177.8, 74.8], [164.5, 70.0], [192.0, 101.6], [175.5, 63.2],
[171.2, 79.1], [181.6, 78.9], [167.4, 67.7], [181.1, 66.0], [177.0, 68.2],
[174.5, 63.9], [177.5, 72.0], [170.5, 56.8], [182.4, 74.5], [197.1, 90.9],
[180.1, 93.0], [175.5, 80.9], [180.6, 72.7], [184.4, 68.0], [175.5, 70.9],
[180.6, 72.5], [177.0, 72.5], [177.1, 83.4], [181.6, 75.5], [176.5, 73.0],
[175.0, 70.2], [174.0, 73.4], [165.1, 70.5], [177.0, 68.9], [192.0, 102.3],
[176.5, 68.4], [169.4, 65.9], [182.1, 75.7], [179.8, 84.5], [175.3, 87.7],
[184.9, 86.4], [177.3, 73.2], [167.4, 53.9], [178.1, 72.0], [168.9, 55.5],
[157.2, 58.4], [180.3, 83.2], [170.2, 72.7], [177.8, 64.1], [172.7, 72.3],
[165.1, 65.0], [186.7, 86.4], [165.1, 65.0], [174.0, 88.6], [175.3, 84.1],
[185.4, 66.8], [177.8, 75.5], [180.3, 93.2], [180.3, 82.7], [177.8, 58.0],
[177.8, 79.5], [177.8, 78.6], [177.8, 71.8], [177.8, 116.4], [163.8, 72.2],
[188.0, 83.6], [198.1, 85.5], [175.3, 90.9], [166.4, 85.9], [190.5, 89.1],
[166.4, 75.0], [177.8, 77.7], [179.7, 86.4], [172.7, 90.9], [190.5, 73.6],
[185.4, 76.4], [168.9, 69.1], [167.6, 84.5], [175.3, 64.5], [170.2, 69.1],
[190.5, 108.6], [177.8, 86.4], [190.5, 80.9], [177.8, 87.7], [184.2, 94.5],
[176.5, 80.2], [177.8, 72.0], [180.3, 71.4], [171.4, 72.7], [172.7, 84.1],
[172.7, 76.8], [177.8, 63.6], [177.8, 80.9], [182.9, 80.9], [170.2, 85.5],
[167.6, 68.6], [175.3, 67.7], [165.1, 66.4], [185.4, 102.3], [181.6, 70.5],
[172.7, 95.9], [190.5, 84.1], [179.1, 87.3], [175.3, 71.8], [170.2, 65.9],
[193.0, 95.9], [171.4, 91.4], [177.8, 81.8], [177.8, 96.8], [167.6, 69.1],
[167.6, 82.7], [180.3, 75.5], [182.9, 79.5], [176.5, 73.6], [186.7, 91.8],
[188.0, 84.1], [188.0, 85.9], [177.8, 81.8], [174.0, 82.5], [177.8, 80.5],
[171.4, 70.0], [185.4, 81.8], [185.4, 84.1], [188.0, 90.5], [188.0, 91.4],
[182.9, 89.1], [176.5, 85.0], [175.3, 69.1], [175.3, 73.6], [188.0, 80.5],
[188.0, 82.7], [175.3, 86.4], [170.5, 67.7], [179.1, 92.7], [177.8, 93.6],
[175.3, 70.9], [182.9, 75.0], [170.8, 93.2], [188.0, 93.2], [180.3, 77.7],
[177.8, 61.4], [185.4, 94.1], [168.9, 75.0], [185.4, 83.6], [180.3, 85.5],
[174.0, 73.9], [167.6, 66.8], [182.9, 87.3], [160.0, 72.3], [180.3, 88.6],
[167.6, 75.5], [186.7, 101.4], [175.3, 91.1], [175.3, 67.3], [175.9, 77.7],
[175.3, 81.8], [179.1, 75.5], [181.6, 84.5], [177.8, 76.6], [182.9, 85.0],
[177.8, 102.5], [184.2, 77.3], [179.1, 71.8], [176.5, 87.9], [188.0, 94.3],
[174.0, 70.9], [167.6, 64.5], [170.2, 77.3], [167.6, 72.3], [188.0, 87.3],
[174.0, 80.0], [176.5, 82.3], [180.3, 73.6], [167.6, 74.1], [188.0, 85.9],
[180.3, 73.2], [167.6, 76.3], [183.0, 65.9], [183.0, 90.9], [179.1, 89.1],
[170.2, 62.3], [177.8, 82.7], [179.1, 79.1], [190.5, 98.2], [177.8, 84.1],
[180.3, 83.2], [180.3, 83.2]]
}]
});
});
</script>
highcharts的基本使用(转载)的更多相关文章
- HighCharts使用心得(转载)
转载自:http://www.cnblogs.com/Olive116/p/3777021.html 1. 准备工作------下载HighCharts插件 跟ECharts一样,HighChart ...
- Highcharts纯js图表库,以后可以跟客户说,你跟阿里云ECS用的图表库是同款
Highcharts是一款纯javascript编写的图表库,能够很简便的在Web网站或Web应用中添加交互性的图表,Highcharts目前支持直线图.曲线图.面积图.柱状图.饼图.散点图等多达18 ...
- 【转载】Highcharts使用指南
另附几个较好的图形组件库: 基于HTML5的开源画图组件:http://www.ichartjs.com/gettingstarted/ 图表Echarts: http://echarts.baidu ...
- 《Learning Highcharts》中文翻译
在highcarts的官方网站上推荐了一本书,由于highchart在平时工作中会用到,所以我们尝试将其翻译成中文,仅作为学习highchart工具的一种方式,以方便日后查阅. 翻译图书作为学习笔记, ...
- FusionCharts和highcharts 饼图区别!
FusionCharts ---------------脚本--------------- <script src="../../../fashioncharts/js/FusionC ...
- Highcharts——让你的网页上图表画的飞起
Highcharts是一款纯javascript编写的图表库,能够很简单便捷的在Web网站或Web应用中添加交互性的图表,Highcharts目前支持直线图.曲线图.面积图.柱状图.饼图.散点图等多达 ...
- Highcharts指南
摘要 Highcharts图表控件是目前使用最为广泛的图表控件.本文将从零开始逐步为你介绍Highcharts图表控件.通过本文,你将学会如何配置Highcharts以及动态生成Highchart图表 ...
- highcharts插件使用总结和开发中遇到的问题及解决办法
这里使用的highchart是2014-01-09从官网下载的版本,版本号是3.0.8, 当过了几天后,发现版本号变成了3.0.9,不由得的感叹highchart的版本更新之快. 在jsp中使用hig ...
- Java导出Highcharts生成的图表为图片源码
本文转载自:http://blog.csdn.net/dengsilinming/article/details/7352054 需要的jar包: 需要的js文件:(可以通过http://www.hi ...
随机推荐
- ubuntu go 开发环境搭建
访问:https://golang.org/dl/ 下载 go1.12.4.linux-amd64.tar.gz wget https://dl.google.com/go/go1.12.4.linu ...
- CTF—攻防练习之HTTP—SQL注入(X-forwarded-For)
主机:192.168.32.152 靶机:192.168.32.162 nmap,dirb扫ip,扫目录 在后台发现一个login,登录界面 然后直接上扫描器AVWS,发现存在X—Forwarded— ...
- Postman接口测试:自动获取登录后的cookie并设置环境变量
在对网站进行接口测试的时候,很多请求往往是需要带登录的cookie才能请求成功的,一般来说,可以用抓包软件(fiddler,浏览器的F12)来查看登录后的cookie,并把它设置到postman的环境 ...
- PHP define defined const
define 定义常量,常量一旦被定义,在脚本执行期间就不能再改变或者取消定义 常量默认大小写敏感.通常常量标识符总是大写的 与变量的区别: 1.常量前面没有美元符号($) 2.常量只能通过defin ...
- Java架构师 -- 知识库
1,CSDN知识库: http://lib.csdn.net/base/architecture 2,淘宝
- 再谈js对象数据结构底层实现原理-object array map set
如果有java基础的同学,可以回顾下<再谈Java数据结构—分析底层实现与应用注意事项>:java把内存分两种:一种是栈内存,另一种是堆内存.基本类型(即int,short,long,by ...
- CentOS7修改内核启动顺序
CentOS7修改内核启动顺序: 1.首先查看当前系统有几个内核 cat /boot/grub2/grub.cfg |grep menuentry 2.查看当前默认内核 grub2-editenv ...
- Swagger中paramType
paramType:表示参数放在哪个地方 header-->请求参数的获取:@RequestHeader(代码中接收注解) query-->请求参数的获取:@RequestPa ...
- 2019牛客暑期多校训练营(第三场)- H Magic Line (计算几何)
题目链接:https://ac.nowcoder.com/acm/contest/883/H 题意:给定n个点(n为偶数),求一条直线使得n个点平均分散在直线两端,即每端n/2个点. 思路:把n个点按 ...
- Oracle块,区,段
数据块(Block) 数据块Block是Oracle存储数据信息的最小单位.注意,这里说的是Oracle环境下的最小单位.Oracle也就是通过数据块来屏蔽不同操作系统存储结构的差异.无论是Windo ...