Chart.js/samples/scatter/scatter-multi-axis.html
etimberg 9ad9cd2154 Reorganized sample files into sub directories. Added a helper containing colours that should be used by all samples.
I added new samples to explain behaviour and modified all samples to have consistent styling. In updating the samples,
I removed the use of jQuery and instead use standard methods.

For the custom tooltip samples, I updated the styling to show color boxes like the regular tooltips.
2016-10-23 16:33:25 -05:00

144 lines
3.4 KiB
HTML

<!doctype html>
<html>
<head>
<title>Scatter Chart Multi Axis</title>
<script src="../../dist/Chart.bundle.js"></script>
<script src="../chartColors.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 color = Chart.helpers.color;
var scatterChartData = {
datasets: [{
label: "My First dataset",
xAxisID: "x-axis-1",
yAxisID: "y-axis-1",
borderColor: window.chartColors.red,
backgroundColor: color(window.chartColors.red).alpha(0.2).rgbString(),
data: [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}]
}, {
label: "My Second dataset",
xAxisID: "x-axis-1",
yAxisID: "y-axis-2",
borderColor: window.chartColors.blue,
backgroundColor: color(window.chartColors.blue).alpha(0.2).rgbString(),
data: [{
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}, {
x: randomScalingFactor(),
y: randomScalingFactor(),
}]
}]
};
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myScatter = Chart.Scatter(ctx, {
data: scatterChartData,
options: {
responsive: true,
hoverMode: 'nearest',
intersect: true,
title: {
display: true,
text: 'Chart.js Scatter Chart - Multi Axis'
},
scales: {
xAxes: [{
position: "bottom",
gridLines: {
zeroLineColor: "rgba(0,0,0,1)"
}
}],
yAxes: [{
type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
display: true,
position: "left",
id: "y-axis-1",
}, {
type: "linear", // only linear but allow scale type registration. This allows extensions to exist solely for log scale for instance
display: true,
position: "right",
reverse: true,
id: "y-axis-2",
// grid line settings
gridLines: {
drawOnChartArea: false, // only want the grid lines for one axis to show up
},
}],
}
}
});
};
document.getElementById('randomizeData').addEventListener('click', function() {
scatterChartData.datasets.forEach(function(dataset) {
dataset.data = dataset.data.map(function() {
return {
x: randomScalingFactor(),
y: randomScalingFactor()
};
});
});
window.myScatter.update();
});
</script>
</body>
</html>