SMusatov
/
gentelella
mirror of https://github.com/ColorlibHQ/gentelella.git


			
				
					
						
						
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<!doctype html>
<html>

<head>
    <title>Combo Bar-Line Chart</title>
    <script src="http://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
    <script src="../dist/Chart.bundle.js"></script>
    <style>
    canvas {
        -moz-user-select: none;
        -webkit-user-select: none;
        -ms-user-select: none;
    }
    </style>
</head>

<body>
    <div style="width: 75%">
        <canvas id="canvas"></canvas>
    </div>
    <button id="randomizeData">Randomize Data</button>
    <script>
        var randomScalingFactor = function() {
            return (Math.random() > 0.5 ? 1.0 : -1.0) * Math.round(Math.random() * 100);
        };
        var randomColorFactor = function() {
            return Math.round(Math.random() * 255);
        };

        var barChartData = {
            labels: ["January", "February", "March", "April", "May", "June", "July"],
            datasets: [{
                type: 'bar',
                label: 'Dataset 1',
                backgroundColor: "rgba(151,187,205,0.5)",
                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
                borderColor: 'white',
                borderWidth: 2
            }, {
                type: 'line',
                label: 'Dataset 2',
                backgroundColor: "rgba(151,187,205,0.5)",
                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()],
                borderColor: 'white',
                borderWidth: 2
            }, {
                type: 'bar',
                label: 'Dataset 3',
                backgroundColor: "rgba(220,220,220,0.5)",
                data: [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()]
            }, ]

        };
        window.onload = function() {
            var ctx = document.getElementById("canvas").getContext("2d");
            window.myBar = new Chart(ctx, {
                type: 'bar',
                data: barChartData,
                options: {
                    responsive: true,
                    title: {
                        display: true,
                        text: 'Chart.js Combo Bar Line Chart'
                    },
                    animation: {
                        onComplete: function () {
                            var chartInstance = this.chart;
                            var ctx = chartInstance.ctx;
                            ctx.textAlign = "center";

                            Chart.helpers.each(this.data.datasets.forEach(function (dataset, i) {
                                var meta = chartInstance.controller.getDatasetMeta(i);
                                Chart.helpers.each(meta.data.forEach(function (bar, index) {
                                    ctx.fillText(dataset.data[index], bar._model.x, bar._model.y - 10);
                                }),this)
                            }),this);
                        }
                    }
                }
            });
        };

        $('#randomizeData').click(function() {
            $.each(barChartData.datasets, function(i, dataset) {
                dataset.backgroundColor = 'rgba(' + randomColorFactor() + ',' + randomColorFactor() + ',' + randomColorFactor() + ',.7)';
                dataset.data = [randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor(), randomScalingFactor()];

            });
            window.myBar.update();
        });
    </script>
</body>

</html>