本章节我们将为大家介绍 Highcharts 的散点图。
我们在前面的章节已经了解了 Highcharts 配置语法。接下来让我们来看下 Highcharts 的其他配置。
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'
};
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="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 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;
$('#container').highcharts(json);
});
</script>
</body>
</html>
以上实例输出结果为：
我正在尝试显示数据标签。但DATALABEL未显示黑条。为什么？http://jsfiddle.net/o4pt855e/其他栏显示良好。我借此机会问我如何提出条件？。如果值小于5，则DATALABEL显示在左侧，否则显示在右侧。$(function(){$('#container').highcharts({chart:{type:'bar'},title:{text:'MiEPS'},xAxis:{//categories:["number1","number2","number3","number4","number5"],title:{text:null},labels:{//
我有下面的图表，其中有两条线http://jsfiddle.net/gh/get/jquery/1.9.1/highslide-software/highcharts.com/tree/master/samples/highcharts/demo/line-basic/series:[{name:'Tokyo',data:[7.0,6.9,9.5,14.5,18.2,21.5,25.2,26.5,23.3,18.3,13.9,9.6]},{name:'London',data:[3.9,4.2,5.7,8.5,11.9,15.2,17.0,16.6,14.2,10.3,6.6,4.8]
如何使用highchartsrangeselector获得有效的jQuery日期选择器？这个fiddle是一个有问题的旧例子(来自highcharts作者)。http://jsfiddle.net/BWEm5/更改结束日期会将开始日期重置为数据的开头。$(function(){$.getJSON('http://www.highcharts.com/samples/data/jsonp.php?filename=aapl-c.json&callback=?',function(data){//Createthechartwindow.chart=newHighcharts.StockC
我正在使用自定义可视化组件和Highcharts在JaspersoftStudio6.4中开发一份报告。长话短说，在绘制气泡图或面积图时，plotOptions.fillColor-attribute无法正常工作，但会使气泡内部或堆积面积图的内部变黑。黑色通常表示未找到颜色，但面积图中的气泡线/线可以正常工作。下面是面积图的Highcharts脚本:define(['jquery_hc','hchart'],function($,Highcharts){ returnfunction(instanceData){ //Creatingthechart varconfig={chart
我需要我的yAxis类别为0=“差”、0.25=“低于平均水平”、0.75=“平均水平”1="好"我正确设置了类别，但Highcharts似乎将我绘制的每个点解释为等于y轴上的“1”步。参见http://jsfiddle.net/54cFG/理想情况下，该图表应始终在y轴上显示4个标签，并且标绘点应在“低于平均水平”和“平均水平”处对齐。是否有我缺少的设置？我想我在http://www.highcharts.com/ref/几乎尝试了一切 最佳答案 您始终可以使用绘图带在Y轴上显示类别。这样你仍然可以保留实际值。我已经用你的代码证明
这是我正在使用的:http://jsfiddle.net/josip0423/prJjY/171/在过去的几个小时里，我一直在努力解决这个问题，但一无所获。我是javascript的新手，今天才发现highcharts。默认情况下，堆栈标签显示两个系列的总数(this.total)。我想要做的是显示其中一个系列的百分比(“完整”系列的值/this.total*100)。我不知道如何提取“完整”系列的值。yAxis:{stackLabels:{style:{color:'black'},enabled:true,formatter:function(){**returnthis.tota
在下面的HighCharts示例中，系列A和B具有相同的数据。只有B的线在图表绘图区域中可见，因为它直接绘制在A上。终端用户不可能知道A在B后面。我们可以在配置对象中设置tooltip.shared=true以在悬停在任何系列上时显示给定x轴点的所有数据值。但是，在我的真实示例中，我在图表上绘制了多达50个系列，这是不合适的。是否可以保持tooltip.shared=false的行为，但是当用户将鼠标悬停在与一个或多个系列重叠的系列上时，显示所有(且仅)工具提示中的重叠系列值？或者是否有任何其他用户友好的方式来指示在给定的x值处有2个以上相同的y值？http://jsfiddle.ne
我正在使用以下逻辑创建一个highcharts图表系列:this.series=[];for(variinheaderData){varheader=headerData[i];this.series.push({name:header.name,data:[],yAxis:parseInt(header.axis),id:header.id,type:'column',zIndex:1,events:{mouseOver:function(e){console.log('Point:',e.point);}}});}我read该点是事件e的属性，但在我的例子中e.point是unde
我正在尝试绘制一个分类的多轴排名柱形图。排名第一的应该是最高的列，最低的排名应该是最短的。基本上我希望条形的高度是倒数。非常接近:varplayer_name_array=["AaronRodgers","AndrewLuck","DrewBrees","RussellWilson","PeytonManning","RyanTannehill","TonyRomo","MattRyan","CamNewton","BenRoethlisberger","EliManning","PhilipRivers","ColinKaepernick","TeddyBridgewater","M
我看过Highcharts的文档，但找不到任何仅向图表添加一个可点击点的示例。没有意义或所有这些都是可点击的。是否可以只绑定(bind)一点点击？提前致谢! 最佳答案 这不是很明显。您知道可以将数据作为Point对象数组传递给图表，如下所示:series:[{data:[{name:'Point1',x:0,y:1},{name:'Point2',x:1,y:5}]}]但是你可能不知道任何Point都可以有自己的事件。所以你可以这样做:series:[{data:[{name:'Point1',x:0,y:1,events:{cli