我在项目中将Polymer与HighCharts结合使用。 我正在使用的代码是:
HTML:
<div class="container" layout vertical center>
<paper-shadow z="1" class="span-shadow">
<post-card id="card1">
<img width="70" height="70" src="../images/graphex.jpg">
<h2>Some Graph</h2>
<div id="container2" style="min-width: 310px; height: 400px; margin: 0 auto"></div>
</post-card>
</paper-shadow>
和JS:
$(function () {
$('#container2').highcharts({
title: {
text: 'Monthly Average Temperature',
x: -20 //center
},
subtitle: {
text: 'Source: WorldClimate.com',
x: -20
},
xAxis: {
categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun',
'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
},
yAxis: {
title: {
text: 'Temperature (°C)'
},
plotLines: [{
value: 0,
width: 1,
color: '#808080'
}]
},
tooltip: {
valueSuffix: '°C'
},
legend: {
layout: 'vertical',
align: 'right',
verticalAlign: 'middle',
borderWidth: 0
},
series: [{
name: 'Tokyo',
data: [7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6]
}, {
name: 'New York',
data: [-0.2, 0.8, 5.7, 11.3, 17.0, 22.0, 24.8, 24.1, 20.1, 14.1, 8.6, 2.5]
}, {
name: 'Berlin',
data: [-0.9, 0.6, 3.5, 8.4, 13.5, 17.0, 18.6, 17.9, 14.3, 9.0, 3.9, 1.0]
}, {
name: 'London',
data: [3.9, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8]
}]
});
});
但是当卡片生成正确时,其中的图形不可见,我收到此错误:
TypeError:undefined不是对象(评估 'HighchartsAdapter.addEvent')(匿名 function)highcharts.js:304:237(匿名 function)highcharts.js:306:162全局codehighcharts.js:322 exporting.js:9
和
ReferenceError:找不到变量:$
如何解决此错误?
谢谢!
答案 0 :(得分:2)
Highcharts
,因此请将Highcharts脚本放在页面顶部。然后使用:
var chart = new Highcharts.Chart({
chart: {
renderTo: 'container2'
}
而不是:
$('#container2').highcharts({ .. });
这是工作fiddle
答案 1 :(得分:1)
您可以使用Highcharts-Chart,它允许您执行相同的操作但管理您的依赖项。 并且还支持数据绑定和事件支持。
对于你的问题:
<head>
<link rel="import" href="bower_components/highcharts-chart/highcharts-chart.html">
</head>
<body>
<template is="dom-bind" id="app">
<highcharts-chart id="Chart" x-axis='{"categories": [[arr2str(chartInfo.categories)]]}' type="spline" title="Monthly Average Temperature" subtitle="Source: WorldClimate.com" x-label="Months" tooltip-options='{"valueSuffix": "°C"}' on-after-print="getData" y-label="Average"></highcharts-chart>
</template>
<script>
var app = document.querySelector("#app")
app.chartInfo = {
categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],
data: [
{name: "Tokyo", series: [7.0, 6.9, 9.5, 14.5, 18.2, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6]},
{name: "New York", series: [-0.2, 0.8, 5.7, 11.3, 17.0, 22.0, 24.8, 24.1, 20.1, 14.1, 8.6, 2.5]},
{name: "Berlin", series: [-0.9, 0.6, 3.5, 8.4, 13.5, 17.0, 18.6, 17.9, 14.3, 9.0, 3.9, 1.0]},
{name: "London", series: [3.9, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8]},
]
}
app.arr2str = (arr)=>{return JSON.stringify(arr)}
app.async(()=>{
app.$.Chart._chart.xAxis[0].update({categories: app.chartInfo.categories})
app.chartInfo.data.forEach((el)=>{
app.$.Chart.addSeries(el.name,el.series)
})
},500)
</script>
</body>
那就是它!更多示例here。
以下是新的更优化的方法:
<base href="https://user-content-dot-custom-elements.appspot.com/avdaredevil/highcharts-chart/v2.0.1/highcharts-chart/">
<link rel="import" href="highcharts-chart.html">
<body>
<template is="dom-bind" id="app">
<highcharts-chart id="Chart" x-axis='[[makeCategorical]]' type="spline" title="Monthly Average Temperature" subtitle="Source: WorldClimate.com" x-label="Months" tooltip-options='{"valueSuffix": "°C"}' data="[[chartData]]" y-label="Average"></highcharts-chart>
</template>
<script>
var app = document.querySelector("#app")
app.makeCategorical = {categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']}
app.chartData = [
{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>
</body>
&#13;
点击运行代码段以查看图表!