Highcharts特性:
兼容性 - 支持所有主流浏览器和移动平台(android、iOS等)。
多设备 - 支持多种设备,如手持设备 iPhone/iPad、平板等
免费使用 - 开源免费
轻量 - highcharts.js 内核库大小只有 35KB 左右
配置简单 - 使用 json 格式配置
动态 - 可以在图表生成后修改
多维 - 支持多维图表
配置提示工具 - 鼠标移动到图表的某一点上有提示信息
时间轴 - 可以精确到毫秒
导出 - 表格可导出为 PDF/ PNG/ JPG / SVG 格式
输出 - 网页输出图表
可变焦 - 选中图表部分放大,近距离观察图表
外部数据 - 从服务器载入动态数据
文字旋转 - 支持在任意方向的标签旋转
HighCharts支持的图表类型:
1,曲线图
2,区域图
3,饼图
4,散点图
5,气泡图
6,动态图标
7,组合图标
8,3D图
9,测量图
10,树状图(Treemap)
Highcharts 环境配置
Highcharts 依赖于 jQuery,所以在加载 Highcharts 前必须先加载 jQuery 库
安装 jQuery
、访问 jquery.com 下载jQuery包。
、使用本站静态资源库的jQuery资源:
http://cdn.static.runoob.com/libs/jquery/2.1.4/jquery.min.js
、使用百度静态资源库的jQuery资源:
http://apps.bdimg.com/libs/jquery/2.1.4/jquery.min.js
使用下载的方式
使用下载的方式,在 HTML 页面引入 jQuery 代码:
<head>
<script src="/jquery/jquery.min.js"></script>
</head>
安装 Highcharts
Highcharts 安装可以使用以下方式:
访问 highcharts.com 下载 Highcharts 包。
<head>
<script src="/highcharts/highcharts.js"></script>
</head>
第一步:创建 HTML 页面
创建一个 HTML 页面,引入 jQuery 和 Highcharts 库:
文件名:HighchartsTest.htm
<html>
<head>
<title>Highcharts 教程</title>
<script src="http://apps.bdimg.com/libs/jquery/2.1.4/jquery.min.js"></script>
<script src="/try/demo_source/highcharts.js"></script>
</head>
<body>
<div id="container" style="width: 550px; height: 400px; margin: 0 auto"></div>
<script language="JavaScript">
$(document).ready(function() { });
</script>
</body>
</html>
实例中 id 为 container 的 div 用于包含 Highcharts 绘制的图表。
第二步: 创建配置文件
Highcharts 库使用 json 格式来配置。
$('#container').highcharts(json);
这里 json 表示使用 json 数据格式和 json 格式的配置来绘制图表。步骤如下:
标题
为图表配置标题:
var title = {
text: '月平均气温'
};
副标题
为图表配置副标题:
var subtitle = {
text: 'Source: runoob.com'
};
X 轴
配置要在 X 轴显示的项。
var xAxis = {
categories: ['一月', '二月', '三月', '四月', '五月', '六月'
,'七月', '八月', '九月', '十月', '十一月', '十二月']
};
Y 轴
配置要在 Y 轴显示的项。
var yAxis = {
title: {
text: 'Temperature (\xB0C)'
},
plotLines: [{
value: ,
width: ,
color: '#808080'
}]
};
提示信息
配置提示信息:
var tooltip = {
valueSuffix: '\xB0C'
}
展示方式
配置图表向右对齐:
var legend = {
layout: 'vertical',
align: 'right',
verticalAlign: 'middle',
borderWidth:
};
数据
配置图表要展示的数据。每个系列是个数组,每一项在图片中都会生成一条曲线。
var 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]
}
];
第三步: 创建 json 数据
组合是由配置信息:
var json = {}; json.title = title;
json.subtitle = subtitle;
json.xAxis = xAxis;
json.yAxis = yAxis;
json.tooltip = tooltip;
json.legend = legend;
json.series = series;
Step : Draw the chart
$('#container').highcharts(json);
以下为完整的实例(HighchartsTest.htm):
<html>
<head>
<meta charset="UTF-8" />
<title>Highcharts 教程 </title>
<script src="http://apps.bdimg.com/libs/jquery/2.1.4/jquery.min.js"></script>
<script src="http://code.highcharts.com/highcharts.js"></script>
</head>
<body>
<div id="container" style="width: 550px; height: 400px; margin: 0 auto"></div>
<script language="JavaScript">
$(document).ready(function() {
var title = {
text: '月平均气温'
};
var subtitle = {
text: 'Source: runoob.com'
};
var xAxis = {
categories: ['一月', '二月', '三月', '四月', '五月', '六月'
,'七月', '八月', '九月', '十月', '十一月', '十二月']
};
var yAxis = {
title: {
text: 'Temperature (\xB0C)'
},
plotLines: [{
value: ,
width: ,
color: '#808080'
}]
}; var tooltip = {
valueSuffix: '\xB0C'
} var legend = {
layout: 'vertical',
align: 'right',
verticalAlign: 'middle',
borderWidth:
}; var 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]
}
]; var json = {}; json.title = title;
json.subtitle = subtitle;
json.xAxis = xAxis;
json.yAxis = yAxis;
json.tooltip = tooltip;
json.legend = legend;
json.series = series; $('#container').highcharts(json);
});
</script>
</body>
</html>

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" 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