mirror of
https://github.com/chartjs/Chart.js.git
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ab41173d9b
Account for zero indexing of arrays when creating a name for an added dataset and remove the last dataset in the array when removing a dataset rather than removing the first.
145 lines
3.8 KiB
HTML
145 lines
3.8 KiB
HTML
<!doctype html>
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<html>
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<head>
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<title>Bar Chart</title>
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<script src="../../../dist/Chart.bundle.js"></script>
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<script src="../../utils.js"></script>
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<style>
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canvas {
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-moz-user-select: none;
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-webkit-user-select: none;
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-ms-user-select: none;
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}
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</style>
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</head>
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<body>
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<div id="container" style="width: 75%;">
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<canvas id="canvas"></canvas>
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</div>
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<button id="randomizeData">Randomize Data</button>
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<button id="addDataset">Add Dataset</button>
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<button id="removeDataset">Remove Dataset</button>
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<button id="addData">Add Data</button>
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<button id="removeData">Remove Data</button>
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<script>
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var MONTHS = ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'];
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var color = Chart.helpers.color;
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var barChartData = {
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labels: ['January', 'February', 'March', 'April', 'May', 'June', 'July'],
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datasets: [{
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label: 'Dataset 1',
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backgroundColor: color(window.chartColors.red).alpha(0.5).rgbString(),
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borderColor: window.chartColors.red,
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borderWidth: 1,
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data: [
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randomScalingFactor(),
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randomScalingFactor(),
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randomScalingFactor(),
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randomScalingFactor(),
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randomScalingFactor(),
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randomScalingFactor(),
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randomScalingFactor()
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]
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}, {
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label: 'Dataset 2',
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backgroundColor: color(window.chartColors.blue).alpha(0.5).rgbString(),
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borderColor: window.chartColors.blue,
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borderWidth: 1,
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data: [
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randomScalingFactor(),
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randomScalingFactor(),
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randomScalingFactor(),
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randomScalingFactor(),
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randomScalingFactor(),
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randomScalingFactor(),
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randomScalingFactor()
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]
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}]
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};
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window.onload = function() {
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var ctx = document.getElementById('canvas').getContext('2d');
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window.myBar = new Chart(ctx, {
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type: 'bar',
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data: barChartData,
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options: {
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responsive: true,
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legend: {
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position: 'top',
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},
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title: {
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display: true,
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text: 'Chart.js Bar Chart'
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}
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}
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});
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};
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document.getElementById('randomizeData').addEventListener('click', function() {
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var zero = Math.random() < 0.2 ? true : false;
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barChartData.datasets.forEach(function(dataset) {
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dataset.data = dataset.data.map(function() {
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return zero ? 0.0 : randomScalingFactor();
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});
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});
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window.myBar.update();
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});
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var colorNames = Object.keys(window.chartColors);
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document.getElementById('addDataset').addEventListener('click', function() {
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var colorName = colorNames[barChartData.datasets.length % colorNames.length];
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var dsColor = window.chartColors[colorName];
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var newDataset = {
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label: 'Dataset ' + (barChartData.datasets.length + 1),
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backgroundColor: color(dsColor).alpha(0.5).rgbString(),
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borderColor: dsColor,
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borderWidth: 1,
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data: []
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};
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for (var index = 0; index < barChartData.labels.length; ++index) {
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newDataset.data.push(randomScalingFactor());
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}
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barChartData.datasets.push(newDataset);
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window.myBar.update();
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});
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document.getElementById('addData').addEventListener('click', function() {
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if (barChartData.datasets.length > 0) {
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var month = MONTHS[barChartData.labels.length % MONTHS.length];
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barChartData.labels.push(month);
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for (var index = 0; index < barChartData.datasets.length; ++index) {
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// window.myBar.addData(randomScalingFactor(), index);
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barChartData.datasets[index].data.push(randomScalingFactor());
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}
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window.myBar.update();
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}
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});
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document.getElementById('removeDataset').addEventListener('click', function() {
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barChartData.datasets.pop();
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window.myBar.update();
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});
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document.getElementById('removeData').addEventListener('click', function() {
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barChartData.labels.splice(-1, 1); // remove the label first
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barChartData.datasets.forEach(function(dataset) {
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dataset.data.pop();
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});
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window.myBar.update();
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});
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</script>
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</body>
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</html>
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