我正在开发一个可以生成一些图表的应用程序，我正在使用chartjs绘制图表。
我面临的问题是：图表将由动态数据生成。应用程序最多可以生成9个数据集，而且它们很少具有相同的大小。当数据集大小不匹配时，如何使chartjs前进或填充值？
我在stackoverflow甚至chartjs github页面上看到了一些例子，但它们并没有起到作用。
这是我目前所拥有的一个例子：https://jsfiddle.net/camarrone/49onz8no/1/
两个具有不同数据数组的数据集。第二个数据集的第一个值不存在，因此它应该为零或NULL。像这样：https://jsfiddle.net/camarrone/d39a0qgw/
这是供参考的“失败”代码：
<html>
<head>
<script type='text/javascript' src='https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.7.2/Chart.min.js'></script>
</head>
<body>
<div style="width: 900px; height: 500px">
<canvas id="chart1"></canvas>
</div>
<script>
let chart1 = new Chart(document.getElementById("chart1"), {
type: 'line',
data: {
labels: ["2018-04-21T16:00:00", "2018-04-21T18:00:00", "2018-04-21T20:00:00", "2018-04-23T12:00:00", "2018-04-23T13:00:00"],
datasets: [
{
type: 'line',
fill: false,
label: 'Label_1',
borderColor:"hsl(181.40751321285697,45.9256727159548%,27.54659126333186%)",
data: [7,3,11,2,3]
},
{
type: 'line',
fill: false,
label: 'Label_2',
borderColor:"hsl(181.91996173600447,39.046658571489985%,65.63412032509264%)",
data: [1,6,1,2]
},
],
},
options: {
animation: {
duration: 0
},
title: {
display: false,
text: ''
},
legend: {
labels: {
useLineStyle: true
},
position: 'bottom',
},
}
});
</script>
</body>
</html>
最佳答案
对于那些面临同样问题和未来的参考。这是我的工作代码：
<html>
<head>
<script type='text/javascript' src='./momentjs-with-locales.js'></script>
<script type='text/javascript' src='https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.7.2/Chart.min.js'></script>
</head>
<body>
<div style="width: 900px; height: 500px">
<canvas id="chart1"></canvas>
</div>
<script>
let chart1 = new Chart(document.getElementById("chart1"), {
type: 'line',
data: {
labels: ["2018-04-21T16:00:00", "2018-04-21T18:00:00", "2018-04-21T20:00:00", "2018-04-23T12:00:00", "2018-04-23T13:00:00"],
datasets: [
{
fill: false,
label: 'Page View',
borderColor: "hsl(226.15793242887034,78.48665583019744%,62.177112879909686%)",
data: [
{
labels: ["2018-04-21T16:00:00", "2018-04-21T18:00:00", "2018-04-21T20:00:00", "2018-04-23T12:00:00", "2018-04-23T13:00:00"],
},
{
x: new Date('2018-04-21T16:00:00'),
y: 7
},
{
x: new Date("2018-04-21T18:00:00"),
y: 3
},
{
x: new Date("2018-04-21T20:00:00"),
y: 11
},
{
x: new Date("2018-04-23T12:00:00"),
y: 2
},
{
x: new Date("2018-04-23T13:00:00"),
y: 3
}
],
},
//dataset 2
{
fill: false,
label: 'View Content',
borderColor: "hsl(232.84952363040048,93.45575469963681%,28.844243872178236%)",
data: [
{
labels: ["2018-04-21T17:00:00", "2018-04-21T20:00:00", "2018-04-23T12:00:00", "2018-04-23T13:00:00"],
},
{
x: new Date("2018-04-21T17:00:00"),
y: 1
},
{
x: new Date("2018-04-21T20:00:00"),
y: 6
},
{
x: new Date("2018-04-23T12:00:00"),
y: 1
},
{
x: new Date("2018-04-23T13:00:00"),
y: 2
}
],
},
],
},
options: {
animation: {
duration: 0
},
title: {
display: false,
text: ''
},
legend: {
labels: {
useLineStyle: true
},
position: 'bottom',
},
scales: {
xAxes: [
{
type:'time',
distribution: 'series',
time: {
unit: 'day',
displayFormat: {
day: 'DD/MM/YYYY'
}
},
}
],
yAxes: [
{
ticks: {
beginAtZero: true,
},
}
]
}
}
});
</script>
</body>
</html>