866 lines
30 KiB
JavaScript
866 lines
30 KiB
JavaScript
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/* line chart area */
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var lineChartArea = function()
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{
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new Chartist.Line('#lineChartArea',
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{
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labels: [1, 2, 3, 4, 5, 6, 7, 8],
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series: [
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[5, 9, 7, 8, 5, 3, 5, 4, ]
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]
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},
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{
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low: 0,
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showArea: true,
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fullWidth: true
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});
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}
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/* line chart area -- end */
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/* line scattered chart */
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var lineScattered = function()
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{
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var times = function(n)
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{
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return Array.apply(null, new Array(n));
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};
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var data = times(52).map(Math.random).reduce(function(data, rnd, index)
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{
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data.labels.push(index + 1);
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data.series.forEach(function(series)
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{
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series.push(Math.random() * 100)
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});
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return data;
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},
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{
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labels: [],
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series: times(4).map(function()
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{
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return new Array()
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})
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});
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var options = {
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showLine: false,
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axisX:
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{
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labelInterpolationFnc: function(value, index)
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{
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return index % 13 === 0 ? 'W' + value : null;
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}
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}
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};
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var responsiveOptions = [
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['screen and (min-width: 640px)',
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{
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axisX:
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{
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labelInterpolationFnc: function(value, index)
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{
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return index % 4 === 0 ? 'W' + value : null;
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}
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}
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}]
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];
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new Chartist.Line('#lineScattered', data, options, responsiveOptions);
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}
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/* line scattered chart -- end */
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/* using events */
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var usingEvents = function()
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{
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var chart = new Chartist.Line('#usingEvents',
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{
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labels: [1, 2, 3, 4, 5],
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series: [
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[12, 9, 7, 8, 5]
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]
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});
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// Listening for draw events that get emitted by the Chartist chart
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chart.on('draw', function(data)
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{
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// If the draw event was triggered from drawing a point on the line chart
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if (data.type === 'point')
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{
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// We are creating a new path SVG element that draws a triangle around the point coordinates
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var triangle = new Chartist.Svg('path',
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{
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d: ['M',
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data.x,
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data.y - 15,
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'L',
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data.x - 15,
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data.y + 8,
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'L',
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data.x + 15,
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data.y + 8,
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'z'
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].join(' '),
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style: 'fill-opacity: 1'
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}, 'ct-area');
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// With data.element we get the Chartist SVG wrapper and we can replace the original point drawn by Chartist with our newly created triangle
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data.element.replace(triangle);
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}
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});
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}
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/* using events -- end */
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/* bipolar */
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var bipolar = function()
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{
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new Chartist.Line('#bipolar',
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{
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labels: [1, 2, 3, 4, 5, 6, 7, 8],
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series: [
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[1, 2, 3, 1, -2, 0, 1, 0],
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[-2, -1, -2, -1, -2.5, -1, -2, -1],
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[0, 0, 0, 1, 2, 2.5, 2, 1],
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[2.5, 2, 1, 0.5, 1, 0.5, -1, -2.5]
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]
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},
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{
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high: 3,
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low: -3,
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showArea: true,
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showLine: false,
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showPoint: false,
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fullWidth: true,
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axisX:
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{
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showLabel: false,
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showGrid: false
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}
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});
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}
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/* bipolar -- end */
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/* smile animation */
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var smileAnimation = function()
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{
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var chart = new Chartist.Line('#smileAnimation',
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{
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labels: ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12'],
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series: [
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[12, 9, 7, 8, 5, 4, 6, 2, 3, 3, 4, 6],
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[4, 5, 3, 7, 3, 5, 5, 3, 4, 4, 5, 5],
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[5, 3, 4, 5, 6, 3, 3, 4, 5, 6, 3, 4],
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[3, 4, 5, 6, 7, 6, 4, 5, 6, 7, 6, 3]
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]
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},
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{
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low: 0
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});
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// Let's put a sequence number aside so we can use it in the event callbacks
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var seq = 0,
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delays = 80,
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durations = 500;
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// Once the chart is fully created we reset the sequence
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chart.on('created', function()
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{
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seq = 0;
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});
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// On each drawn element by Chartist we use the Chartist.Svg API to trigger SMIL animations
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chart.on('draw', function(data)
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{
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seq++;
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if (data.type === 'line')
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{
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// If the drawn element is a line we do a simple opacity fade in. This could also be achieved using CSS3 animations.
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data.element.animate(
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{
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opacity:
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{
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// The delay when we like to start the animation
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begin: seq * delays + 2000,
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// Duration of the animation
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dur: durations,
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// The value where the animation should start
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from: 0,
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// The value where it should end
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to: 1
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}
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});
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}
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else if (data.type === 'label' && data.axis === 'x')
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{
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data.element.animate(
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{
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y:
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{
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begin: seq * delays,
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dur: durations,
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from: data.y + 100,
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to: data.y,
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// We can specify an easing function from Chartist.Svg.Easing
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easing: 'easeOutQuart'
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}
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});
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}
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else if (data.type === 'label' && data.axis === 'y')
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{
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data.element.animate(
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{
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x:
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{
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begin: seq * delays,
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dur: durations,
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from: data.x - 100,
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to: data.x,
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easing: 'easeOutQuart'
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}
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});
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}
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else if (data.type === 'point')
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{
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data.element.animate(
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{
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x1:
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{
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begin: seq * delays,
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dur: durations,
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from: data.x - 10,
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to: data.x,
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easing: 'easeOutQuart'
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},
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x2:
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{
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begin: seq * delays,
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dur: durations,
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from: data.x - 10,
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to: data.x,
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easing: 'easeOutQuart'
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},
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opacity:
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{
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begin: seq * delays,
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dur: durations,
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from: 0,
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to: 1,
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easing: 'easeOutQuart'
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}
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});
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}
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else if (data.type === 'grid')
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{
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// Using data.axis we get x or y which we can use to construct our animation definition objects
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var pos1Animation = {
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begin: seq * delays,
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dur: durations,
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from: data[data.axis.units.pos + '1'] - 30,
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to: data[data.axis.units.pos + '1'],
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easing: 'easeOutQuart'
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};
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var pos2Animation = {
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begin: seq * delays,
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dur: durations,
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from: data[data.axis.units.pos + '2'] - 100,
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to: data[data.axis.units.pos + '2'],
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easing: 'easeOutQuart'
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};
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var animations = {};
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animations[data.axis.units.pos + '1'] = pos1Animation;
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animations[data.axis.units.pos + '2'] = pos2Animation;
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animations['opacity'] = {
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begin: seq * delays,
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dur: durations,
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from: 0,
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to: 1,
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easing: 'easeOutQuart'
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};
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data.element.animate(animations);
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}
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});
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// For the sake of the example we update the chart every time it's created with a delay of 10 seconds
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chart.on('created', function()
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{
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if (window.__exampleAnimateTimeout)
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{
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clearTimeout(window.__exampleAnimateTimeout);
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window.__exampleAnimateTimeout = null;
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}
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window.__exampleAnimateTimeout = setTimeout(chart.update.bind(chart), 12000);
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});
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}
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/* smile animation -- end */
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/* path animation */
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var pathAnimation = function()
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{
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var chart = new Chartist.Line('#pathAnimation',
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{
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labels: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'],
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series: [
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[1, 5, 2, 5, 4, 3],
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[2, 3, 4, 8, 1, 2],
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[5, 4, 3, 2, 1, 0.5]
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]
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},
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{
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low: 0,
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showArea: true,
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showPoint: false,
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fullWidth: true
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});
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chart.on('draw', function(data)
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{
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if (data.type === 'line' || data.type === 'area')
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{
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data.element.animate(
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{
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d:
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{
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begin: 2000 * data.index,
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dur: 2000,
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from: data.path.clone().scale(1, 0).translate(0, data.chartRect.height()).stringify(),
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to: data.path.clone().stringify(),
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easing: Chartist.Svg.Easing.easeOutQuint
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}
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});
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}
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});
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}
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/* path animation -- end */
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/* line interpolation */
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var lineInterpolation = function()
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{
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var chart = new Chartist.Line('#lineInterpolation',
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{
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labels: [1, 2, 3, 4, 5],
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series: [
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[1, 5, 10, 0, 1],
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[10, 15, 0, 1, 2]
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]
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},
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{
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// Remove this configuration to see that chart rendered with cardinal spline interpolation
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// Sometimes, on large jumps in data values, it's better to use simple smoothing.
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lineSmooth: Chartist.Interpolation.simple(
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{
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divisor: 2
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}),
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fullWidth: true,
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chartPadding:
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{
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right: 20
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},
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low: 0
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});
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}
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/* line interpolation -- end */
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/* series overrides */
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var seriesOverrides = function()
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{
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var chart = new Chartist.Line('#seriesOverrides',
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{
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labels: ['1', '2', '3', '4', '5', '6', '7', '8'],
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// Naming the series with the series object array notation
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series: [
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{
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name: 'series-1',
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data: [5, 2, -4, 2, 0, -2, 5, -3]
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},
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{
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name: 'series-2',
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data: [4, 3, 5, 3, 1, 3, 6, 4]
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},
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{
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name: 'series-3',
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data: [2, 4, 3, 1, 4, 5, 3, 2]
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}]
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},
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{
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fullWidth: true,
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// Within the series options you can use the series names
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// to specify configuration that will only be used for the
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// specific series.
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series:
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{
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'series-1':
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{
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lineSmooth: Chartist.Interpolation.step()
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},
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'series-2':
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{
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lineSmooth: Chartist.Interpolation.simple(),
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showArea: true
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},
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'series-3':
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{
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showPoint: false
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}
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}
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}, [
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// You can even use responsive configuration overrides to
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// customize your series configuration even further!
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['screen and (max-width: 320px)',
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{
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series:
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{
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'series-1':
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{
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lineSmooth: Chartist.Interpolation.none()
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},
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'series-2':
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{
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lineSmooth: Chartist.Interpolation.none(),
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showArea: false
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},
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'series-3':
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{
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lineSmooth: Chartist.Interpolation.none(),
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showPoint: true
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}
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}
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}]
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]);
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}
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/* series overrides -- end */
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/* bar chart */
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var barChart = function()
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{
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var data = {
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labels: ['W1', 'W2', 'W3', 'W4', 'W5', 'W6', 'W7', 'W8', 'W9', 'W10'],
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series: [
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[1, 2, 4, 8, 6, -2, -1, -4, -6, -2]
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]
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};
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var options = {
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high: 10,
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low: -10,
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axisX:
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{
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labelInterpolationFnc: function(value, index)
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{
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return index % 2 === 0 ? value : null;
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}
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}
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};
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new Chartist.Bar('#barChart', data, options);
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}
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/* bar chart end */
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/* overlap bar mobile */
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var overlapBarMobile = function()
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{
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var data = {
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labels: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'],
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series: [
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[5, 4, 3, 7, 5, 10, 3, 4, 8, 10, 6, 8],
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[3, 2, 9, 5, 4, 6, 4, 6, 7, 8, 7, 4]
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]
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};
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var options = {
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seriesBarDistance: 10
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};
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var responsiveOptions = [
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['screen and (max-width: 640px)',
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{
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seriesBarDistance: 5,
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axisX:
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{
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labelInterpolationFnc: function(value)
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{
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return value[0];
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}
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}
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}]
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];
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new Chartist.Bar('#overlapBarMobile', data, options, responsiveOptions);
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}
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/* overlap bar mobile -- end */
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/* peak circles */
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var peakCircles = function()
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{
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// Create a simple bi-polar bar chart
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var chart = new Chartist.Bar('#peakCircles',
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{
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labels: ['W1', 'W2', 'W3', 'W4', 'W5', 'W6', 'W7', 'W8', 'W9', 'W10'],
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series: [
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[1, 2, 4, 8, 6, -2, -1, -4, -6, -2]
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]
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},
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{
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high: 10,
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low: -10,
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axisX:
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{
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labelInterpolationFnc: function(value, index)
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{
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return index % 2 === 0 ? value : null;
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}
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}
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});
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// Listen for draw events on the bar chart
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chart.on('draw', function(data)
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{
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// If this draw event is of type bar we can use the data to create additional content
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if (data.type === 'bar')
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{
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// We use the group element of the current series to append a simple circle with the bar peek coordinates and a circle radius that is depending on the value
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data.group.append(new Chartist.Svg('circle',
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{
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cx: data.x2,
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cy: data.y2,
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r: Math.abs(Chartist.getMultiValue(data.value)) * 2 + 5
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}, 'ct-slice-pie'));
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}
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});
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}
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/* peak circles -- end */
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/* multi line labels */
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var multiLineLabels = function()
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{
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new Chartist.Bar('#multiLineLabels',
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{
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labels: ['First quarter of the year', 'Second quarter of the year', 'Third quarter of the year', 'Fourth quarter of the year'],
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series: [
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[60000, 40000, 80000, 70000],
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[40000, 30000, 70000, 65000],
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[8000, 3000, 10000, 6000]
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]
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},
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{
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seriesBarDistance: 10,
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axisX:
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{
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offset: 60
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},
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axisY:
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{
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offset: 80,
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labelInterpolationFnc: function(value)
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{
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return value + ' CHF'
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},
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scaleMinSpace: 15
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}
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});
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}
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/* multi line labels -- end */
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/* stacked bar */
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var stackedBar = function()
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{
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new Chartist.Bar('#stackedBar',
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{
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labels: ['Q1', 'Q2', 'Q3', 'Q4'],
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series: [
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[800000, 1200000, 1400000, 1300000],
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[200000, 400000, 500000, 300000],
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[100000, 200000, 400000, 600000]
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]
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},
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{
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stackBars: true,
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axisY:
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{
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labelInterpolationFnc: function(value)
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{
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return (value / 1000) + 'k';
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}
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}
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}).on('draw', function(data)
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{
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if (data.type === 'bar')
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{
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data.element.attr(
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{
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style: 'stroke-width: 30px'
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});
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}
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});
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}
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/* stacked bar -- end */
|
|
|
|
/* horizontal bar */
|
|
var horizontalBar = function()
|
|
{
|
|
new Chartist.Bar('#horizontalBar',
|
|
{
|
|
labels: ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'],
|
|
series: [
|
|
[5, 4, 3, 7, 5, 10, 3],
|
|
[3, 2, 9, 5, 4, 6, 4]
|
|
]
|
|
},
|
|
{
|
|
seriesBarDistance: 10,
|
|
reverseData: true,
|
|
horizontalBars: true,
|
|
axisY:
|
|
{
|
|
offset: 70
|
|
}
|
|
});
|
|
}
|
|
/* horizontal bar -- end */
|
|
|
|
/* extream responsive */
|
|
var extreamResponsive = function()
|
|
{
|
|
new Chartist.Bar('#extreamResponsive',
|
|
{
|
|
labels: ['Quarter 1', 'Quarter 2', 'Quarter 3', 'Quarter 4'],
|
|
series: [
|
|
[5, 4, 3, 7],
|
|
[3, 2, 9, 5],
|
|
[1, 5, 8, 4],
|
|
[2, 3, 4, 6],
|
|
[4, 1, 2, 1]
|
|
]
|
|
},
|
|
{
|
|
// Default mobile configuration
|
|
stackBars: true,
|
|
axisX:
|
|
{
|
|
labelInterpolationFnc: function(value)
|
|
{
|
|
return value.split(/\s+/).map(function(word)
|
|
{
|
|
return word[0];
|
|
}).join('');
|
|
}
|
|
},
|
|
axisY:
|
|
{
|
|
offset: 20
|
|
}
|
|
}, [
|
|
// Options override for media > 400px
|
|
['screen and (min-width: 400px)',
|
|
{
|
|
reverseData: true,
|
|
horizontalBars: true,
|
|
axisX:
|
|
{
|
|
labelInterpolationFnc: Chartist.noop
|
|
},
|
|
axisY:
|
|
{
|
|
offset: 60
|
|
}
|
|
}],
|
|
// Options override for media > 800px
|
|
['screen and (min-width: 800px)',
|
|
{
|
|
stackBars: false,
|
|
seriesBarDistance: 10
|
|
}],
|
|
// Options override for media > 1000px
|
|
['screen and (min-width: 1000px)',
|
|
{
|
|
reverseData: false,
|
|
horizontalBars: false,
|
|
seriesBarDistance: 15
|
|
}]
|
|
]);
|
|
}
|
|
/* extream responsive -- end */
|
|
|
|
/* distributed series */
|
|
var distributedSeries = function()
|
|
{
|
|
new Chartist.Bar('#distributedSeries',
|
|
{
|
|
labels: ['XS', 'S', 'M', 'L', 'XL', 'XXL', 'XXXL'],
|
|
series: [20, 60, 120, 200, 180, 20, 10]
|
|
},
|
|
{
|
|
distributeSeries: true
|
|
});
|
|
}
|
|
/* distributed series -- end */
|
|
|
|
/* label palcement */
|
|
var labelPlacement = function()
|
|
{
|
|
new Chartist.Bar('#labelPlacement',
|
|
{
|
|
labels: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'],
|
|
series: [
|
|
[5, 4, 3, 7, 5, 10, 3],
|
|
[3, 2, 9, 5, 4, 6, 4]
|
|
]
|
|
},
|
|
{
|
|
axisX:
|
|
{
|
|
// On the x-axis start means top and end means bottom
|
|
position: 'start'
|
|
},
|
|
axisY:
|
|
{
|
|
// On the y-axis start means left and end means right
|
|
position: 'end'
|
|
}
|
|
});
|
|
}
|
|
/* label palcement -- end */
|
|
|
|
/* pie chart */
|
|
var pieChart = function()
|
|
{
|
|
var data = {
|
|
series: [5, 3, 4]
|
|
};
|
|
|
|
var sum = function(a, b)
|
|
{
|
|
return a + b
|
|
};
|
|
|
|
new Chartist.Pie('#pieChart', data,
|
|
{
|
|
labelInterpolationFnc: function(value)
|
|
{
|
|
return Math.round(value / data.series.reduce(sum) * 100) + '%';
|
|
}
|
|
});
|
|
}
|
|
/* pie chart -- end */
|
|
|
|
/* pie chart labels */
|
|
var pieChartLabels = function()
|
|
{
|
|
var data = {
|
|
labels: ['Bananas', 'Apples', 'Grapes'],
|
|
series: [20, 15, 40]
|
|
};
|
|
|
|
var options = {
|
|
labelInterpolationFnc: function(value)
|
|
{
|
|
return value[0]
|
|
}
|
|
};
|
|
|
|
var responsiveOptions = [
|
|
['screen and (min-width: 640px)',
|
|
{
|
|
chartPadding: 30,
|
|
labelOffset: 100,
|
|
labelDirection: 'explode',
|
|
labelInterpolationFnc: function(value)
|
|
{
|
|
return value;
|
|
}
|
|
}],
|
|
['screen and (min-width: 1024px)',
|
|
{
|
|
labelOffset: 80,
|
|
chartPadding: 20
|
|
}]
|
|
];
|
|
|
|
new Chartist.Pie('#pieChartLabels', data, options, responsiveOptions);
|
|
}
|
|
/* pie chart labels -- end */
|
|
|
|
/* guage chart */
|
|
var gaugeChart = function()
|
|
{
|
|
new Chartist.Pie('#gaugeChart',
|
|
{
|
|
series: [20, 10, 30, 40]
|
|
},
|
|
{
|
|
donut: true,
|
|
donutWidth: 60,
|
|
startAngle: 270,
|
|
total: 200,
|
|
showLabel: false
|
|
});
|
|
}
|
|
/* guage chart -- end */
|
|
|
|
/* donut fill */
|
|
var donutFill = function()
|
|
{
|
|
new Chartist.Pie('#donutFill',
|
|
{
|
|
series: [20, 10, 30, 40]
|
|
},
|
|
{
|
|
donut: true,
|
|
donutWidth: 60,
|
|
donutSolid: true,
|
|
startAngle: 270,
|
|
showLabel: true
|
|
});
|
|
}
|
|
/* donut fill -- end */
|
|
|
|
/* guage chart fill */
|
|
var gaugeChartFill = function()
|
|
{
|
|
new Chartist.Pie('#gaugeChartFill',
|
|
{
|
|
series: [20, 10, 30, 40]
|
|
},
|
|
{
|
|
donut: true,
|
|
donutWidth: 60,
|
|
donutSolid: true,
|
|
startAngle: 270,
|
|
total: 200,
|
|
showLabel: true
|
|
});
|
|
}
|
|
/* guage chart fill -- end */
|
|
|
|
/* initilize all charts on DOM ready */
|
|
$(document).ready(function()
|
|
{
|
|
lineChartArea();
|
|
lineScattered();
|
|
usingEvents();
|
|
bipolar();
|
|
smileAnimation();
|
|
pathAnimation();
|
|
lineInterpolation();
|
|
seriesOverrides();
|
|
barChart();
|
|
overlapBarMobile();
|
|
peakCircles();
|
|
multiLineLabels();
|
|
stackedBar();
|
|
horizontalBar();
|
|
extreamResponsive();
|
|
distributedSeries();
|
|
labelPlacement();
|
|
pieChart();
|
|
pieChartLabels();
|
|
gaugeChart();
|
|
donutFill();
|
|
gaugeChartFill();
|
|
});
|
|
|
|
|