本章节我们将为大家介绍 Highcharts 的散点图。

配置

chart 配置

配置 chart 的 type 为 'scatter' 。chart.type 描述了图表类型。默认值为 "line"。

chart.zoomType 属性可配置图表放大 ,通过拖动鼠标进行缩放,沿x轴或y轴进行缩放,可以设置为:'x','y','xy'。

var chart = {type: 'scatter',zoomType: 'xy'
};

实例

文件名:highcharts_scatter_basic.htm

<html><head><meta charset="UTF-8" /><title>Highcharts 教程 | 菜鸟教程(runoob.com)</title><script src="(document).ready(function() {  var chart = {type: 'scatter',      zoomType: 'xy'};var title = {text: 'Height Versus Weight of 507 Individuals by Gender'   };var subtitle = {text: 'Source: Heinz  2003'  };var xAxis = {title: {enabled: true,text: 'Height (cm)'},startOnTick: true,endOnTick: true,showLastLabel: true};var yAxis = {title: {text: 'Weight (kg)'}};var legend = {   layout: 'vertical',align: 'left',verticalAlign: 'top',x: 100,y: 70,floating: true,backgroundColor: (Highcharts.theme && Highcharts.theme.legendBackgroundColor) || '#FFFFFF',borderWidth: 1}  var plotOptions = {scatter: {marker: {radius: 5,states: {hover: {enabled: true,lineColor: 'rgb(100,100,100)'}}},states: {hover: {marker: {enabled: false}}},tooltip: {headerFormat: '<b>{series.name}</b><br>',pointFormat: '{point.x} cm, {point.y} kg'}}};var 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]]      }];     var json = {};   json.chart = chart; json.title = title;   json.subtitle = subtitle; json.legend = legend;json.xAxis = xAxis;json.yAxis = yAxis;  json.series = series;json.plotOptions = plotOptions;$('#container').highcharts(json);});</script></body></html>

Highcharts 散点图介绍相关推荐

  1. Highcharts 散点图上添加回归线

    一 代码 <html> <head> <meta charset="UTF-8" /> <title>Highcharts 散点图上 ...

  2. HighCharts详细介绍

     HighCharts中文网:http://www.hcharts.cn/ HighCharts官网:http://www.highcharts.com/download HighCharts入门 ...

  3. Qt开发技术:Q3D图表开发笔记(一):Q3DScatter三维散点图介绍、Demo以及代码详解

    若该文为原创文章,转载请注明原文出处 本文章博客地址:https://blog.csdn.net/qq21497936/article/details/129520187 各位读者,知识无穷而人力有穷 ...

  4. (转)基于MVC4+EasyUI的Web开发框架经验总结(4)--使用图表控件Highcharts

    http://www.cnblogs.com/wuhuacong/p/3736564.html 在我们做各种应用的时候,我们可能都会使用到图表统计,以前接触过一些不同的图表控件,在无意中发现了图表控件 ...

  5. 数据分析-Jupyter,Matplotlib介绍-Matplotlib绘制图形

    数据分析 Jupyter介绍 Jupyter Notebook是以网页的形式打开,可以在网页页面中直接编写代码和运行代码,代码的运行结果也会直接在代码块下显示的程序.如在编程过程中需要编写说明文档,可 ...

  6. Qt开发技术:Q3D图表开发笔记(二):Q3DBar三维柱状图介绍、Demo以及代码详解

    若该文为原创文章,转载请注明原文出处 本文章博客地址:https://hpzwl.blog.csdn.net/article/details/130150728 各位读者,知识无穷而人力有穷,要么改需 ...

  7. BDP数据可视化 - 散点图

    散点图在工作中很常用,如何在数据可视化工具BDP中制作出好看又直观的散点图呢? 1.散点图介绍  散点图表示因变量(Y轴数值)随自变量(X轴数值)变化的大致趋势,从而选择合适的函数对数据点进行拟合:散 ...

  8. Python:Matplotlib(折线图/散点图/条形图/直方图/饼图)

    Python:Matplotlib Matplotlib介绍 1)折线图 折线图介绍: 画折线图的具体案例: 2)散点图 散点图介绍: 画散点图的具体案例: 3)条形图 条形图介绍: 画条形图的具体案 ...

  9. Python数据可视化之散点图(基础篇---图文并茂详细版!!!)

    Python数据可视化之散点图 介绍 准备工作 所需的库 虚拟环境 简单散点图 总结 两种不同颜色和图例的散点图 总结 介绍 •数据可视化的应用十分广泛,几乎可以应用于自然科学.工程技术.金融.通信和 ...

最新文章

  1. BusyBox telnet配置
  2. 静态优先权和动态优先权
  3. Linux本地无法登录,远程却可以登录
  4. 如何在柱状图中点连线_如何快速掌握MSA
  5. MySQL Config--参数system_time_zone和参数time_zone
  6. 简易JTAG烧写程序的执行逻辑和流程
  7. toString()和valueOf()重写的区别
  8. IEEE Access投稿(Latex模板)——参考文献的生成
  9. OpenGL编程指南-理解入门笔记
  10. 光棍节程序员闯关秀-解密
  11. coji 编程机器人_娃喜欢就行—“编程机器人”COJI
  12. 【Unity 自学之路】2 - 素材编辑
  13. 分享个强大的抓包工具
  14. 数学史思维导图_趣谈数学历史:数学发展简史思维导图——中国、外国数学发展...
  15. 全网最全测试工程师 学习网站汇总(测试必备 抓紧收藏)
  16. gamit如何添加新的天线类型
  17. cfree 上面工具栏消失解决办法(不用重下!!!!!)
  18. stc15流水灯c语言,STC89C52单片机流水灯
  19. arm开发板与PC通讯及访问外网
  20. Python不是内部或外部命令的(完美解决)

热门文章

  1. 全称是什么_JDK,JRE和JVM是什么?三者有什么关系?二分钟搞定!!!
  2. 福州java培训哪里好_福州自学考试培训班哪里比较好
  3. java poi 如何合并多个sheet 为一个sheet_Java POI组件实现多个Excel文件整合成一个多Sheet的Excel文件...
  4. qt mysql 注册码_QT连接Oracle数据库并实现登录验证的操作步骤
  5. ECshop二次开发 ECSHOP首页显示积分商城里的商品
  6. vscode去除控制台ES6报错
  7. JAVA中的变量和常量
  8. mongodb--find高级用法
  9. 自定义PopupWindow弹出后背景灰色状态
  10. android stuido 在线安装svn插件,添加版本库无响应