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如何让我的Chart.JS条形图在每个条形图上堆叠两个数据值,并在每个条形图上打印计算值?

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我正在创建一个Chart.js条形图,如下所示:

HTML

<canvas id="priceComplianceBarChart" width="540" height="360"></canvas>

JQUERY

var barChartData = {
    labels: ["Bix Produce", "Capitol City", "Charlies Portland", "Costa Fruit and Produce", "Get Fresh Sales", "Loffredo East", "Loffredo West", "Paragon", "Piazza Produce"],
    datasets: [
        {
            fillColor: "rgba(220,220,220,0.5)",
            strokeColor: "rgba(220,220,220,0.8)",
            highlightFill: "rgba(220,220,220,0.75)",
            highlightStroke: "rgba(220,220,220,1)",
            data: [17724, 5565, 3806, 5925, 5721, 6635, 14080, 9027, 25553]
        },
        {
            fillColor: "rgba(151,187,205,0.5)",
            strokeColor: "rgba(151,187,205,0.8)",
            highlightFill: "rgba(151,187,205,0.75)",
            highlightStroke: "rgba(151,187,205,1)",
            data: [17, 1, 18, 14, 3, 1, 5, 10, 1]
        }
    ]
}

var ctxBarChart = document.getElementById("priceComplianceBarChart").getContext("2d");
var myBarChart = new Chart(ctxBarChart).Bar(barChartData);

这会生成一个如下所示的图表:

enter image description here

但是,我想要的是两个并排的值,它们以不同的颜色叠加在同一个条上,然后是一个计算值(占主要颜色所代表的总数的百分比) . 每个栏上都有一个标签,也附在传说上(例如,“Bix Produce - 99.9%”) .

将val附加到条形下方的图例标签我可以弄清楚自己,我敢肯定,但是如何将两个值堆叠到一个条上,以及如何将标签添加到条形图中 - 我不知道如何实现这些目标 .

更新

我正在尝试Sergiu M的代码,但必须做错了,因为我的图表应该出现的div现在完全是空白的 . 这是我的新代码:

HTML

<div class="topright">
    <h2 class="sectiontext">Price Compliance</h2>
    <div class="graph_container">
        <canvas id="priceComplianceBarChart" width="400" height="400"></canvas>
    </div>
</div>

CSS

.topright {
    margin-top: -4px;
    margin-right: 16px;
    margin-bottom: 16px;
    margin-left: -12px;
    padding: 16px;
    border: 1px solid black;
}

.sectiontext {
    font-size: 1.5em;
    font-weight: bold;
    font-family: Candara, Calibri, Cambria, serif;
    color: green;
    margin-top: -4px;
}

JQUERY

var ctxBarChart = document.getElementById("priceComplianceBarChart").getContext("2d");
var priceBarChart = new Chart(ctxBarChart, {
    type: 'bar',
    data: {
        labels: ["Bix Produce", "Capitol City", "Charlies Portland", "Costa Fruit and Produce", "Get Fresh Sales", "Loffredo East", "Loffredo West", "Paragon", "Piazza Produce"],
        datasets: [{
            label: 'Some Values',
            backgroundColor: 'rgba(97, 188, 109, 0.2)',
            borderColor: 'rgba(97, 188, 109, .8)',
            data: [7000, 5565, 3806, 5925, 5721, 6635, 14080, 9027, 25553]
            //data: [17724, 2565, 1506, 3625, 3721, 4635, 7080, 4027, 12553]
        }, {
            label: 'Other Values',
            backgroundColor: 'rgba(236, 107, 86, 0.2)',
            borderColor: 'rgba(236, 107, 86, .8)',
            data: [17724, 2565, 1506, 3625, 3721, 4635, 7080, 4027, 12553]
            //data: [17, 1, 18, 14, 3, 1, 5, 10, 1]
        }]
    },
    options: {
        tooltips: {
            enabled: false
        },
        animation: {
            duration: 0,
            onComplete: function () {
                if (this.data.datasets.length === 2) {
                    // render the value of the chart above the bar
                    var ctx = this.chart.ctx;
                    ctx.font = Chart.helpers.fontString(Chart.defaults.global.defaultFontSize, 'normal', Chart.defaults.global.defaultFontFamily);
                    ctx.fillStyle = this.chart.config.options.defaultFontColor;
                    ctx.textAlign = 'center';
                    ctx.textBaseline = 'bottom';
                    var firstDataSet = this.data.datasets[0];
                    var secondDataSet = this.data.datasets[1];
                    if (firstDataSet.length === secondDataSet.length) {
                        for (var i = 0; i < firstDataSet.data.length; i++) {
                            var firstModel = firstDataSet._meta[Object.keys(firstDataSet._meta)[0]].data[i]._model;
                            var secondModel = secondDataSet._meta[Object.keys(secondDataSet._meta)[0]].data[i]._model;
                            var total = firstDataSet.data[i] + secondDataSet.data[i];
                            if (firstDataSet.data[i] >= secondDataSet.data[i]) {
                                ctx.fillText((firstDataSet.data[i] * 100 / total).toFixed(2) + '%', firstModel.x, firstModel.y + 30);
                            } else {
                                ctx.fillText((secondDataSet.data[i] * 100 / total).toFixed(2) + '%', secondModel.x, secondModel.y + 30);
                            }
                        }
                    }
                }
            }
        },
        scales: {
            yAxes: [{
                ticks: {
                    beginAtZero: true
                },
                stacked: true
            }],
            xAxes: [{
                stacked: true,
            }]
        }
    }
});

1 回答

  • 3

    为了实现带有图表js的堆积条形图,您可以使用此代码http://codepen.io/anon/pen/ozzyJy . 我已经用一些更大的值替换了第二个数据值数组,以便说明堆叠的条形图,但它可以适用于任何值:

    var ctx = document.getElementById("myChart");
    var myChart = new Chart(ctx, {
        type: 'bar',
        data: {
            labels: ["Bix Produce", "Capitol City", "Charlies Portland", "Costa Fruit and Produce", "Get Fresh Sales", "Loffredo East", "Loffredo West", "Paragon", "Piazza Produce"],
            datasets: [{
                backgroundColor: 'rgba(97, 188, 109, 0.2)',
                borderColor: 'rgba(97, 188, 109, .8)',
                data: [7000, 5565, 3806, 5925, 5721, 6635, 14080, 9027, 25553]
            }, {
                backgroundColor: 'rgba(236, 107, 86, 0.2)',
                borderColor: 'rgba(236, 107, 86, .8)',
                data: [17724, 2565, 1506, 3625, 3721, 4635, 7080, 4027, 12553]
                //data: [17, 1, 18, 14, 3, 1, 5, 10, 1]
            }]
        },
        options: {
            tooltips: {
                enabled: false
            },
            animation: {
                duration: 0,
                onComplete: function() {
                    if (this.data.datasets.length === 2) {
                        var ctx = this.chart.ctx;
                        ctx.font = Chart.helpers.fontString(Chart.defaults.global.defaultFontSize, 'normal', Chart.defaults.global.defaultFontFamily);
                        ctx.fillStyle = this.chart.config.options.defaultFontColor;
                        ctx.textAlign = 'center';
                        ctx.textBaseline = 'bottom';
                        var firstDataSet = this.data.datasets[0];
                        var secondDataSet = this.data.datasets[1];
                        if (firstDataSet.length === secondDataSet.length) {
                            for (var i = 0; i < firstDataSet.data.length; i++) {
                                var firstModel = firstDataSet._meta[Object.keys(firstDataSet._meta)[0]].data[i]._model;
                                var secondModel = secondDataSet._meta[Object.keys(secondDataSet._meta)[0]].data[i]._model;
                                var total = firstDataSet.data[i] + secondDataSet.data[i];
                                if (firstDataSet.data[i] >= secondDataSet.data[i]) {
                                    ctx.fillText((firstDataSet.data[i] * 100 / total).toFixed(2) + '%', firstModel.x, firstModel.y + 30);
                                }else{
                                    ctx.fillText((secondDataSet.data[i] * 100 / total).toFixed(2) + '%', secondModel.x, secondModel.y + 30);
                                }
                            }
                        }
                    }
                }
            },
            scales: {
                yAxes: [{
                    ticks: {
                        beginAtZero: true
                    },
                    stacked: true
                }],
                xAxes: [{
                    stacked: true,
                }]
            }
        }
     });
    

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