Chart.js 使用 X 轴时间动态更新图表
Chart.js Dynamically Updating Chart with X Axis Time
我正在使用 Chart.js 版本 2.7.1,当温度数据出现时,我正在动态更新我的折线图。
问题是线条没有及时通过 x 轴的中点标记。每次我更新时,图表都会自动缩放 x 轴的右侧(最大时间)以使其更远,因此我的数据永远不会接近图表的右侧。我想要的是让这条线接近右侧,每次更新时,x 轴的未来只有一小段时间。我怎样才能做到这一点?谢谢。
以下是我配置图表的方式:
var ctx = document.getElementById('tempChart').getContext('2d');
ctx.canvas.width = 320;
ctx.canvas.height = 240;
var chart = new Chart(ctx, {
type: 'line',
data: {
labels: [],
legend: {
display: true
},
datasets: [{
fill: false,
data: [],
label: 'Hot Temperature',
backgroundColor: "#FF2D00",
borderColor: "#FF2D00",
type: 'line',
pointRadius: 1,
lineTension: 2,
borderWidth: 2
},
{
fill: false,
data: [],
label: 'Cold Temperature',
backgroundColor: "#0027FF",
borderColor: "#0027FF",
type: 'line',
pointRadius: 1,
lineTension: 2,
borderWidth: 2
}]
},
options: {
animation: false,
responsive: true,
scales: {
xAxes: [{
scaleLabel: {
display: true,
labelString: 'Time ( UTC )'
},
type: 'time',
time: {
tooltipFormat: "hh:mm:ss",
displayFormats: {
hour: 'MMM D, hh:mm:ss'
}
},
ticks: {
maxRotation: 90,
minRotation: 90
}
}],
yAxes: [{
scaleLabel: {
display: true,
labelString: 'Temperature ( Celcius )'
},
}]
}
}
});
这是图表:
如您在以下代码段中所见,还要感谢 Daniel W Strimpel 创建了初始代码段,您的问题出在 hot 和 低温data
。
{ x: new Date(2019, 0, 1, 14, 1, 19, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 20, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 21, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 22, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 23, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 24, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 25, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 26, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 27, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 28, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 29, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 30, 0) }
这两个数组最后都有 n
个条目缺少 y
坐标,包括 温度值 。我通过删除冷热温度 data
的最后 5 个条目的 y
重新创建了您的场景。
chart
会将日期添加到 x axis
,但它不会添加 temperature
值并且该行不会显示。
{x: new Data(2019, 0, 14, 1, 26, 0) }
该代码片段重新创建了您的场景,您可以 运行 它以了解问题并通过将 y
值添加到 getHotTempData
和 getColdTempData
var ctx = document.getElementById('tempChart').getContext('2d');
ctx.canvas.width = 320;
ctx.canvas.height = 240;
var chart = new Chart(ctx, {
type: 'line',
data: {
labels: [],
legend: {
display: true
},
datasets: [{
fill: false,
data: getHotTempData(),
label: 'Hot Temperature',
backgroundColor: "#FF2D00",
borderColor: "#FF2D00",
type: 'line',
pointRadius: 1,
lineTension: 2,
borderWidth: 2
},
{
fill: false,
data: getColdTempData(),
label: 'Cold Temperature',
backgroundColor: "#0027FF",
borderColor: "#0027FF",
type: 'line',
pointRadius: 1,
lineTension: 2,
borderWidth: 2
}]
},
options: {
animation: false,
responsive: true,
scales: {
xAxes: [{
scaleLabel: {
display: true,
labelString: 'Time ( UTC )'
},
type: 'time',
time: {
tooltipFormat: "hh:mm:ss",
displayFormats: {
hour: 'MMM D, hh:mm:ss'
}
},
ticks: {
maxRotation: 90,
minRotation: 90
}
}],
yAxes: [{
scaleLabel: {
display: true,
labelString: 'Temperature ( Celcius )'
},
}]
}
}
});
function getHotTempData() {
return [
{ x: new Date(2019, 0, 1, 14, 1, 19, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 20, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 21, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 22, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 23, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 24, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 25, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 26, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 27, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 28, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 29, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 30, 0) }
];
}
function getColdTempData() {
return [
{ x: new Date(2019, 0, 1, 14, 1, 19, 0), y: Math.random() * 0.5 + 23.5 },
{ x: new Date(2019, 0, 1, 14, 1, 20, 0), y: Math.random() * 0.5 + 23.5 },
{ x: new Date(2019, 0, 1, 14, 1, 21, 0), y: Math.random() * 0.5 + 23.5 },
{ x: new Date(2019, 0, 1, 14, 1, 22, 0), y: Math.random() * 0.5 + 23.5 },
{ x: new Date(2019, 0, 1, 14, 1, 23, 0), y: Math.random() * 0.5 + 23.5 },
{ x: new Date(2019, 0, 1, 14, 1, 24, 0), y: Math.random() * 0.5 + 23.5 },
{ x: new Date(2019, 0, 1, 14, 1, 25, 0), y: Math.random() * 0.5 + 23.5 },
{ x: new Date(2019, 0, 1, 14, 1, 26, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 27, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 28, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 29, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 30, 0) }
];
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.24.0/moment-with-locales.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.7.3/Chart.min.js"></script>
<canvas id="tempChart"></canvas>
我正在使用 Chart.js 版本 2.7.1,当温度数据出现时,我正在动态更新我的折线图。
问题是线条没有及时通过 x 轴的中点标记。每次我更新时,图表都会自动缩放 x 轴的右侧(最大时间)以使其更远,因此我的数据永远不会接近图表的右侧。我想要的是让这条线接近右侧,每次更新时,x 轴的未来只有一小段时间。我怎样才能做到这一点?谢谢。
以下是我配置图表的方式:
var ctx = document.getElementById('tempChart').getContext('2d');
ctx.canvas.width = 320;
ctx.canvas.height = 240;
var chart = new Chart(ctx, {
type: 'line',
data: {
labels: [],
legend: {
display: true
},
datasets: [{
fill: false,
data: [],
label: 'Hot Temperature',
backgroundColor: "#FF2D00",
borderColor: "#FF2D00",
type: 'line',
pointRadius: 1,
lineTension: 2,
borderWidth: 2
},
{
fill: false,
data: [],
label: 'Cold Temperature',
backgroundColor: "#0027FF",
borderColor: "#0027FF",
type: 'line',
pointRadius: 1,
lineTension: 2,
borderWidth: 2
}]
},
options: {
animation: false,
responsive: true,
scales: {
xAxes: [{
scaleLabel: {
display: true,
labelString: 'Time ( UTC )'
},
type: 'time',
time: {
tooltipFormat: "hh:mm:ss",
displayFormats: {
hour: 'MMM D, hh:mm:ss'
}
},
ticks: {
maxRotation: 90,
minRotation: 90
}
}],
yAxes: [{
scaleLabel: {
display: true,
labelString: 'Temperature ( Celcius )'
},
}]
}
}
});
这是图表:
如您在以下代码段中所见,还要感谢 Daniel W Strimpel 创建了初始代码段,您的问题出在 hot 和 低温data
。
{ x: new Date(2019, 0, 1, 14, 1, 19, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 20, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 21, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 22, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 23, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 24, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 25, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 26, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 27, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 28, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 29, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 30, 0) }
这两个数组最后都有 n
个条目缺少 y
坐标,包括 温度值 。我通过删除冷热温度 data
的最后 5 个条目的 y
重新创建了您的场景。
chart
会将日期添加到 x axis
,但它不会添加 temperature
值并且该行不会显示。
{x: new Data(2019, 0, 14, 1, 26, 0) }
该代码片段重新创建了您的场景,您可以 运行 它以了解问题并通过将 y
值添加到 getHotTempData
和 getColdTempData
var ctx = document.getElementById('tempChart').getContext('2d');
ctx.canvas.width = 320;
ctx.canvas.height = 240;
var chart = new Chart(ctx, {
type: 'line',
data: {
labels: [],
legend: {
display: true
},
datasets: [{
fill: false,
data: getHotTempData(),
label: 'Hot Temperature',
backgroundColor: "#FF2D00",
borderColor: "#FF2D00",
type: 'line',
pointRadius: 1,
lineTension: 2,
borderWidth: 2
},
{
fill: false,
data: getColdTempData(),
label: 'Cold Temperature',
backgroundColor: "#0027FF",
borderColor: "#0027FF",
type: 'line',
pointRadius: 1,
lineTension: 2,
borderWidth: 2
}]
},
options: {
animation: false,
responsive: true,
scales: {
xAxes: [{
scaleLabel: {
display: true,
labelString: 'Time ( UTC )'
},
type: 'time',
time: {
tooltipFormat: "hh:mm:ss",
displayFormats: {
hour: 'MMM D, hh:mm:ss'
}
},
ticks: {
maxRotation: 90,
minRotation: 90
}
}],
yAxes: [{
scaleLabel: {
display: true,
labelString: 'Temperature ( Celcius )'
},
}]
}
}
});
function getHotTempData() {
return [
{ x: new Date(2019, 0, 1, 14, 1, 19, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 20, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 21, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 22, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 23, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 24, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 25, 0), y: Math.random() * 0.5 + 35 },
{ x: new Date(2019, 0, 1, 14, 1, 26, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 27, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 28, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 29, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 30, 0) }
];
}
function getColdTempData() {
return [
{ x: new Date(2019, 0, 1, 14, 1, 19, 0), y: Math.random() * 0.5 + 23.5 },
{ x: new Date(2019, 0, 1, 14, 1, 20, 0), y: Math.random() * 0.5 + 23.5 },
{ x: new Date(2019, 0, 1, 14, 1, 21, 0), y: Math.random() * 0.5 + 23.5 },
{ x: new Date(2019, 0, 1, 14, 1, 22, 0), y: Math.random() * 0.5 + 23.5 },
{ x: new Date(2019, 0, 1, 14, 1, 23, 0), y: Math.random() * 0.5 + 23.5 },
{ x: new Date(2019, 0, 1, 14, 1, 24, 0), y: Math.random() * 0.5 + 23.5 },
{ x: new Date(2019, 0, 1, 14, 1, 25, 0), y: Math.random() * 0.5 + 23.5 },
{ x: new Date(2019, 0, 1, 14, 1, 26, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 27, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 28, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 29, 0) },
{ x: new Date(2019, 0, 1, 14, 1, 30, 0) }
];
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.24.0/moment-with-locales.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.7.3/Chart.min.js"></script>
<canvas id="tempChart"></canvas>