我正在生成一个 chart.js 画布条形图.我想要做的是,在标签数组中,添加与每个标签一起使用的图像,而不仅仅是文本标签本身.这是图表的代码:我从中获取数据的 json 对象有一个我想用来显示图片的图像 url:
I am generating a chart.js canvas bar chart. What I am trying to do is, inside of the labels array, add images that go with each label, as opposed to just the text label itself. Here is the code for the chart: The json object that I am getting data from has an image url that I want to use to display the picture:
$.ajax({
method: "get",
url: "http://localhost:3000/admin/stats/show",
dataType: "json",
error: function() {
console.log("Sorry, something went wrong");
},
success: function(response) {
console.log(response)
var objectToUse = response.top_dogs
var updateLabels = [];
var updateData = [];
for (var i = 0; i < objectToUse.length; i+=1) {
updateData.push(objectToUse[i].win_percentage * 100);
updateLabels.push(objectToUse[i].title);
}
var data = {
labels: updateLabels,
datasets: [
{
label: "Top Winners Overall",
fillColor: get_random_color(),
strokeColor: "rgba(220,220,220,0.8)",
highlightFill: get_random_color(),
highlightStroke: "rgba(220,220,220,1)",
data: updateData
}
]
};
var options = {
//Boolean - Whether the scale should start at zero, or an order of magnitude down from the lowest value
scaleBeginAtZero : true,
//Boolean - Whether grid lines are shown across the chart
scaleShowGridLines : true,
//String - Colour of the grid lines
scaleGridLineColor : "rgba(0,0,0,.05)",
//Number - Width of the grid lines
scaleGridLineWidth : 1,
//Boolean - Whether to show horizontal lines (except X axis)
scaleShowHorizontalLines: true,
//Boolean - Whether to show vertical lines (except Y axis)
scaleShowVerticalLines: true,
//Boolean - If there is a stroke on each bar
barShowStroke : true,
//Number - Pixel width of the bar stroke
barStrokeWidth : 2,
//Number - Spacing between each of the X value sets
barValueSpacing : 5,
//Number - Spacing between data sets within X values
barDatasetSpacing : 2,
};
var loadNewChart = new Chart(barChart).Bar(data, options);
}
});
如果有人有解决方案,将不胜感激!
If anyone has a solution it would be greatly appreciated!
我知道这是一个旧帖子,但由于它已经被查看了很多次,我将描述一个适用于当前图表的解决方案.js 版本 2.9.3.
I'm aware that this is an old post but since it has been viewed so many times, I'll describe a solution that works with the current Chart.js version 2.9.3.
插件核心 API 提供了一个可用于执行自定义代码的一系列钩子.您可以通过 afterDraw 挂钩直接在画布上绘制图像(图标)" rel="noreferrer">CanvasRenderingContext2D
.
The Plugin Core API offers a range of hooks that may be used for performing custom code. You can use the afterDraw
hook to draw images (icons) directly on the canvas using CanvasRenderingContext2D
.
plugins: [{
afterDraw: chart => {
var ctx = chart.chart.ctx;
var xAxis = chart.scales['x-axis-0'];
var yAxis = chart.scales['y-axis-0'];
xAxis.ticks.forEach((value, index) => {
var x = xAxis.getPixelForTick(index);
var image = new Image();
image.src = images[index],
ctx.drawImage(image, x - 12, yAxis.bottom + 10);
});
}
}],
标签的位置必须通过 xAxes.ticks.padding
定义如下:
The position of the labels will have to be defined through the xAxes.ticks.padding
as follows:
xAxes: [{
ticks: {
padding: 30
}
}],
请查看以下可运行的代码片段.
Please have a look at the following runnable code snippet.
const labels = ['Red Vans', 'Blue Vans', 'Green Vans', 'Gray Vans'];
const images = ['https://i.stack.imgur.com/2RAv2.png', 'https://i.stack.imgur.com/Tq5DA.png', 'https://i.stack.imgur.com/3KRtW.png', 'https://i.stack.imgur.com/iLyVi.png'];
const values = [48, 56, 33, 44];
new Chart(document.getElementById("myChart"), {
type: "bar",
plugins: [{
afterDraw: chart => {
var ctx = chart.chart.ctx;
var xAxis = chart.scales['x-axis-0'];
var yAxis = chart.scales['y-axis-0'];
xAxis.ticks.forEach((value, index) => {
var x = xAxis.getPixelForTick(index);
var image = new Image();
image.src = images[index],
ctx.drawImage(image, x - 12, yAxis.bottom + 10);
});
}
}],
data: {
labels: labels,
datasets: [{
label: 'My Dataset',
data: values,
backgroundColor: ['red', 'blue', 'green', 'lightgray']
}]
},
options: {
responsive: true,
legend: {
display: false
},
scales: {
yAxes: [{
ticks: {
beginAtZero: true
}
}],
xAxes: [{
ticks: {
padding: 30
}
}],
}
}
});
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.9.3/Chart.min.js"></script>
<canvas id="myChart" height="90"></canvas>
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