Ion*_*zău 5 javascript chart.js
简而言之,我有包含数据 ( y) 和时间戳 ( t) 的事件,我想在图表上显示它们。
目前,如果我有三个事件:
10:00 AM: 4211:00 AM: 4311:20 AM: 44该图表不会显示数据之间存在差距(我指的是一小时的差距),而只是将它们连接起来。
例如,在以下示例中,晚上 10 点和早上 5 点之间存在间隔。
0如果两点之间的差距超过X秒,是否有自动显示值的选项?
var ctx = document.getElementById('chart').getContext("2d");
var data = [
{
"y": "0.58",
"t": 1565665819571
},
{
"y": "0.84",
"t": 1565665218436
},
{
"y": "1.69",
"t": 1565664625228
},
{
"y": "0.24",
"t": 1565640019245
},
{
"y": "0.24",
"t": 1565639418937
},
{
"y": "0.25",
"t": 1565638819713
},
{
"y": "0.25",
"t": 1565638219190
},
{
"y": "0.23",
"t": 1565637619961
},
{
"y": "0.24",
"t": 1565637018574
},
{
"y": "0.24",
"t": 1565636426432
},
{
"y": "0.24",
"t": 1565635825187
},
{
"y": "0.25",
"t": 1565635218607
},
{
"y": "0.25",
"t": 1565634618853
},
{
"y": "0.26",
"t": 1565634020604
},
{
"y": "0.26",
"t": 1565633419088
},
{
"y": "0.27",
"t": 1565632819216
},
{
"y": "0.27",
"t": 1565632218830
},
{
"y": "0.28",
"t": 1565631620692
},
{
"y": "0.29",
"t": 1565631019620
},
{
"y": "0.29",
"t": 1565630418738
},
{
"y": "0.30",
"t": 1565629818050
},
{
"y": "0.31",
"t": 1565629218872
},
{
"y": "0.33",
"t": 1565628126871
}
]
var chart = new Chart(ctx, {
"type": "line",
"data": {
"datasets": [
{
"label": "Foo",
"backgroundColor": "lightblue",
"borderColor": "blue",
"data": data,
"type": "line",
"pointRadius": 0,
"fill": false,
"lineTension": 0,
"borderWidth": 2,
"spanGaps": false
}
]
},
"options": {
"scales": {
"xAxes": [
{
"type": "time",
"distribution": "series",
"ticks": {
"source": "data",
"autoSkip": true
}
}
],
"yAxes": [
{
"scaleLabel": {
"display": true,
"labelString": "Y"
}
}
]
},
"tooltips": {
"intersect": false,
"mode": "index",
"callbacks": {}
}
}
});Run Code Online (Sandbox Code Playgroud)
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.7.2/Chart.bundle.min.js"></script>
<canvas id="chart"></canvas>Run Code Online (Sandbox Code Playgroud)
由于 v3 Chart.js 能够将 spanGap 设置为数字,从而确定要跨越的最大间隙。因此,在这种情况下,可以使用 1 小时的间隙来保持数据点连接,但同时在晚上 11 点和凌晨 5 点之间有一个间隙
文档:https ://www.chartjs.org/docs/latest/charts/line.html#line-styling
官方示例:https ://www.chartjs.org/docs/latest/samples/scales/time-max-span.html
这是调整后的代码:
const ctx = document.getElementById('chart');
const data = [{
"y": "0.58",
"x": 1565665819571,
},
{
"y": "0.84",
"x": 1565665218436,
},
{
"y": "1.69",
"x": 1565664625228
},
{
"y": "0.24",
"x": 1565640019245
},
{
"y": "0.24",
"x": 1565639418937
},
{
"y": "0.25",
"x": 1565638819713
},
{
"y": "0.25",
"x": 1565638219190
},
{
"y": "0.23",
"x": 1565637619961
},
{
"y": "0.24",
"x": 1565637018574
},
{
"y": "0.24",
"x": 1565636426432
},
{
"y": "0.24",
"x": 1565635825187
},
{
"y": "0.25",
"x": 1565635218607
},
{
"y": "0.25",
"x": 1565634618853
},
{
"y": "0.26",
"x": 1565634020604
},
{
"y": "0.26",
"x": 1565633419088
},
{
"y": "0.27",
"x": 1565632819216
},
{
"y": "0.27",
"x": 1565632218830
},
{
"y": "0.28",
"x": 1565631620692
},
{
"y": "0.29",
"x": 1565631019620
},
{
"y": "0.29",
"x": 1565630418738
},
{
"y": "0.30",
"x": 1565629818050
},
{
"y": "0.31",
"x": 1565629218872
},
{
"y": "0.33",
"x": 1565628126871
}
]
const chart = new Chart(ctx, {
"type": "line",
"data": {
datasets: [{
label: 'Foo',
backgroundColor: "lightblue",
borderColor: "blue",
fill: false,
data: data,
pointRadius: 0,
spanGaps: 1000 * 60 * 60, // 1 hour
}]
},
options: {
responsive: true,
scales: {
xAxis: {
type: "time"
}
},
"tooltips": {
"intersect": false,
"mode": "index",
"callbacks": {}
}
}
});Run Code Online (Sandbox Code Playgroud)
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/4.2.0/chart.umd.js"></script>
<script src="https://cdn.jsdelivr.net/npm/luxon@^2"></script>
<script src="https://cdn.jsdelivr.net/npm/chartjs-adapter-luxon@^1"></script>
<canvas id="chart"></canvas>Run Code Online (Sandbox Code Playgroud)
| 归档时间: |
|
| 查看次数: |
504 次 |
| 最近记录: |