JqPlot Bar and Line Chart combine - javascript

I have situation where i have to combine bar and line chart I have the below data please check if have any solution of this:
$(document).ready(function () {
var s1 = [ 59, 175, 148, 213, 19, 213, 144, 64, 229, 89, 59, 363, 5, 71, 31];//bar chart
var s2 = [66, 220, 87, 59, 15, 227, 134, 46, 139, 30, 18, 71, 2, 17, 2];
//bar chart
var line1= [98.81, 98.90, 99.00, 99.17, 99.35, 99.36, 99.46, 99.56, 99.71, 99.82, 99.87, 99.89, 99.92, 99.95,99.98];//data for line chart
var line2 = [ 99.52, 99.52, 99.52, 99.52, 99.52,99.52,99.52,99.52, 99.52, 99.52, 99.52, 99.52, 99.52, 99.52];//data for line chart
var ticks = ['Rakhine', 'Ayeyarwady', 'Magway', 'Bago', 'Kayah', 'Sagaing', 'Shan', 'Kachin', 'Yangon', 'Mon', 'Kayin', 'Mandalay',
'Chin', 'Tanintharyi', 'Naypyitaw' ];
//now i need to combine bar and line with the same plot
plot2 = $.jqplot('chart2', [s1, s2], {
seriesDefaults: {
renderer: $.jqplot.BarRenderer,show: true,
pointLabels: { show: true }
},
axes: {
xaxis: {
renderer: $.jqplot.CategoryAxisRenderer,
ticks: ticks
}
}
});
});
Description:

Related

chart.js bar chart datalabel vanishes on hovering over chart

I have a bar chart that has a label over each bar.
The problem is that when I hover on the chart, all of the labels disappear.
Before hovering:
After hovering:
and here's my code:
let barChartData = {
labels:[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29],
datasets: [{
label: 'Sessions',
backgroundColor: 'rgba(0,163,224, 0.7)',
borderColor: 'rgba(0,163,224, 1)',
borderWidth: 1,
data:[81, 69, 60, 51, 37, 35, 45, 65, 86, 58, 64, 39, 48, 29, 69, 80, 52, 61, 56, 40, 51, 31, 70, 51, 32, 51, 27, 30, 44, 59, 46]
}]
};
let ctx = document.getElementById(id).getContext("2d");
let chart = new Chart(ctx, {
type: 'bar',
data: barChartData,
options: {
responsive: true,
"animation": {
"duration": 1,
"onComplete": function () {
let chartInstance = this.chart, ctx = chartInstance.ctx;
ctx.font = Chart.helpers.fontString(Chart.defaults.global.defaultFontSize, Chart.defaults.global.defaultFontStyle, Chart.defaults.global.defaultFontFamily);
ctx.textAlign = 'center';
ctx.textBaseline = 'bottom';
ctx.fontColor = 'black'
this.data.datasets.forEach(function (dataset, i) {
let meta = chartInstance.controller.getDatasetMeta(i);
meta.data.forEach(function (bar, index) {
let data = dataset.data[index];
ctx.fillText(data, bar._model.x, bar._model.y - 5);
});
});
}
},
plugins: {
datalabels: {
color: '#000000'
}
},
legend: {
display: false
},
tooltips: {
enabled: true,
mode: 'label'
},
}
});
I removed the animation field but didn't work.
the chartjs version I'm using is 2.7.3

You can fix the problem with an update to Chart.js 2.9.3 and passing an empty hover function:
<html>
<head>
</head>
<body>
<canvas id="container"></canvas>
<script src="https://pagecdn.io/lib/chart/2.9.3/Chart.bundle.min.js"></script>
</body>
</html>
let barChartData = {
labels:[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29],
datasets: [{
label: 'Sessions',
backgroundColor: 'rgba(0,163,224, 0.7)',
borderColor: 'rgba(0,163,224, 1)',
borderWidth: 1,
data:[81, 69, 60, 51, 37, 35, 45, 65, 86, 58, 64, 39, 48, 29, 69, 80, 52, 61, 56, 40, 51, 31, 70, 51, 32, 51, 27, 30, 44, 59, 46]
}]
};
const id = 'container';
let ctx = document.getElementById(id).getContext("2d");
let chart = new Chart(ctx, {
type: 'bar',
data: barChartData,
options: {
responsive: true,
"animation": {
"duration": 1,
"onComplete": function () {
let chartInstance = this.chart, ctx = chartInstance.ctx;
ctx.font = Chart.helpers.fontString(Chart.defaults.global.defaultFontSize, Chart.defaults.global.defaultFontStyle, Chart.defaults.global.defaultFontFamily);
ctx.textAlign = 'center';
ctx.textBaseline = 'bottom';
ctx.fontColor = 'black'
this.data.datasets.forEach(function (dataset, i) {
let meta = chartInstance.controller.getDatasetMeta(i);
meta.data.forEach(function (bar, index) {
let data = dataset.data[index];
ctx.fillText(data, bar._model.x, bar._model.y - 5);
});
});
}
},
hover: () => {},
plugins: {
datalabels: {
color: '#000000'
}
},
legend: {
display: false
},
tooltips: {
enabled: true,
mode: 'label'
},
}
});
This fix doesn't work with Chart.js 2.7.3. I don't know if it's a bug or a different behavior on purpose.
Live example

SVG to Image export performance issues (using canvg / XMLSerializer / getComputedStyle)

I am using canvg to convert a chart svg to an image. We have the issue that by default not all CSS attributes are applied to the image so we ended up using getComputedStyle in a loop.
This is a total mess under performance aspects if we have 10 or even 20 charts to be exported at once.
var labels = ['2018-10-01', '2018-10-02', '2018-10-03', '2018-10-04', '2018-10-05', '2018-10-06', '2018-10-07', '2018-10-08', '2018-10-09', '2018-10-10', '2018-10-11', '2018-10-12', '2018-10-13', '2018-10-14', '2018-10-15', '2018-10-16', '2018-10-17', '2018-10-18', '2018-10-19', '2018-10-20', '2018-10-21', '2018-10-22', '2018-10-23', '2018-10-24', '2018-10-25', '2018-10-26', '2018-10-27', '2018-10-28', '2018-10-29', '2018-10-30', '2018-10-31', '2018-11-01', '2018-11-02', '2018-11-03', '2018-11-04', '2018-11-05', '2018-11-06', '2018-11-07', '2018-11-08', '2018-11-09', '2018-11-10', '2018-11-11', '2018-11-12', '2018-11-13', '2018-11-14', '2018-11-15', '2018-11-16', '2018-11-17', '2018-11-18', '2018-11-19', '2018-11-20', '2018-11-21', '2018-11-22', '2018-11-23', '2018-11-24', '2018-11-25', '2018-11-26', '2018-11-27', '2018-11-28', '2018-11-29', '2018-11-30', '2018-12-01', '2018-12-02', '2018-12-03', '2018-12-04', '2018-12-05', '2018-12-06', '2018-12-07', '2018-12-08', '2018-12-09', '2018-12-10', '2018-12-11', '2018-12-12', '2018-12-13', '2018-12-14', '2018-12-15', '2018-12-16', '2018-12-17', '2018-12-18', '2018-12-19', '2018-12-20', '2018-12-21', '2018-12-22', '2018-12-23', '2018-12-24', '2018-12-25', '2018-12-26', '2018-12-27', '2018-12-28', '2018-12-29', '2018-12-30', '2018-12-31', '2019-01-01', '2019-01-02', '2019-01-03', '2019-01-04', '2019-01-05', '2019-01-06', '2019-01-07', '2019-01-08', '2019-01-09', '2019-01-10', '2019-01-11', '2019-01-12', '2019-01-13', '2019-01-14', '2019-01-15', '2019-01-16', '2019-01-17', '2019-01-18', '2019-01-19', '2019-01-20', '2019-01-21', '2019-01-22', '2019-01-23', '2019-01-24', '2019-01-25', '2019-01-26', '2019-01-27', '2019-01-28', '2019-01-29', '2019-01-30', '2019-01-31', '2019-02-01', '2019-02-02', '2019-02-03', '2019-02-04', '2019-02-05', '2019-02-06', '2019-02-07', '2019-02-08', '2019-02-09', '2019-02-10', '2019-02-11', '2019-02-12', '2019-02-13', '2019-02-14', '2019-02-15', '2019-02-16', '2019-02-17', '2019-02-18', '2019-02-19', '2019-02-20', '2019-02-21', '2019-02-22', '2019-02-23', '2019-02-24', '2019-02-25', '2019-02-26', '2019-02-27', '2019-02-28'];
var columns = ['data101', 'data2', 'data347'];
var data = [
[0, 0, 2, 2, 1, 2, 7, 3, 1, 7, 5, 5, 5, 5, 6, 6, 11, 7, 2, 7, 16, 7, 3, 5, 10, 9, 11, 7, 3, 7, 7, 10, 10, 9, 18, 10, 20, 13, 9, 19, 16, 13, 20, 18, 14, 15, 18, 20, 19, 11, 13, 13, 12, 16, 11, 12, 21, 20, 23, 19, 19, 23, 23, 24, 23, 25, 21, 23, 20, 22, 21, 23, 24, 25, 27, 29, 28, 25, 24, 17, 20, 24, 22, 27, 21, 27, 19, 26, 31, 27, 28, 27, 21, 20, 27, 22, 22, 19, 17, 21, 23, 19, 22, 20, 21, 25, 15, 19, 20, 19, 21, 28, 17, 20, 14, 18, 17, 20, 27, 21, 18, 18, 20, 16, 27, 16, 16, 9, 18, 8, 19, 13, 8, 16, 15, 16, 9, 15, 10, 13, 10, 11, 10, 13, 12, 7, 14, 16, 13, 14, 8],
[0, 0, 338, 1201, 1268, 1371, 1286, 1148, 446, 288, 228, 253, 193, 201, 283, 393, 436, 379, 421, 444, 444, 417, 513, 353, 364, 399, 238, 191, 305, 337, 365, 349, 365, 244, 101, 39, 55, 72, 151, 98, 31, 127, 114, 92, 104, 196, 307, 245, 84, 168, 41, 38, 292, 488, 536, 569, 495, 448, 408, 358, 344, 380, 328, 334, 332, 330, 345, 312, 369, 377, 356, 301, 226, 273, 237, 116, 178, 133, 114, 138, 95, 143, 74, 74, 83, 47, 75, 101, 96, 59, 46, 128, 70, 57, 93, 80, 94, 93, 63, 86, 81, 63, 70, 102, 91, 67, 69, 68, 88, 76, 79, 70, 119, 88, 74, 94, 76, 54, 82, 90, 75, 130, 67, 78, 106, 91, 81, 27, 77, 21, 104, 83, 55, 60, 62, 304, 393, 191, 292, 77, 76, 55, 125, 89, 99, 127, 60, 75, 99, 120, 56],
[0, 0, 0, 1419, 7454, 12638, 10944, 7652, 4272, 11219, 9071, 7207, 7929, 8373, 9566, 6310, 7406, 9286, 8415, 7659, 6457, 3380, 10902, 10952, 10508, 7219, 4625, 4484, 4396, 5178, 5991, 7927, 14132, 14307, 5094, 10011, 6257, 9184, 18574, 12597, 11415, 7118, 9991, 10225, 14337, 4417, 12701, 17833, 23553, 10037, 4833, 5894, 19421, 14735, 12597, 8730, 5888, 11836, 13143, 17219, 10492, 10528, 8649, 11868, 10502, 6758, 7672, 8479, 11142, 22330, 26595, 4423, 17434, 8709, 9657, 7823, 9135, 19765, 18016, 16010, 8419, 7300, 8877, 9611, 9050, 8680, 8211, 6635, 3069, 10739, 6288, 6761, 7807, 16243, 20415, 23051, 19727, 8721, 6445, 8585, 13688, 14728, 17113, 16255, 3898, 4622, 3869, 3774, 4190, 3461, 4824, 4608, 4613, 3677, 3648, 3575, 3556, 4036, 3732, 2517, 4676, 4129, 3250, 4142, 3987, 4396, 3362, 2964, 1849, 2609, 2851, 3003, 3583, 3473, 3190, 2658, 4363, 3959, 4588, 3771, 4315, 3178, 3354, 3159, 2695, 4114, 4292, 3322, 1218, 3526, 3717]
];
var colors = ['#0065A3', '#767670', '#D73648', '#7FB2CE', '#00345B'];
var padding = 5;
//prepare chart data
var columnData = [];
var chartDataColumns = [];
var chartData = [];
chartData.push([columns[0]].concat(data[0]));
chartDataColumns = [
['x'].concat(labels)
].concat(chartData);
var chart1 = c3.generate({
bindto: d3.select('#chart1'),
data: {
x: 'x',
columns: [['x'].concat(labels)].concat(chartData),
type: 'line',
onmouseover: function(d) {
chart1.focus(d.id);
chart2.focus(d.id);
},
onmouseout: function() {
chart1.revert();
chart2.revert();
}
},
legend: {
position: 'right',
show: true,
item: {
onclick: function(id) {
if (chart1) chart1.toggle(id);
if (chart2) chart2.toogle(id);
},
onmouseover: function(id) {
if (chart1) chart1.focus(id);
if (chart2) chart2.focus(id);
},
onmouseout: function(id) {
if (chart1) chart1.revert();
if (chart2) chart2.revert();
}
}
},
tooltip: {
show: true,
format: {
value: function(value) {
return d3.format(",.0f")(value);
}
}
},
zoom: {
enabled: true
},
axis: {
x: {
type: 'timeseries',
tick: {
rotate: 90,
format: '%Y-%m-%d'
}
},
y: {
label: 'sample-data',
tick: {
format: d3.format(",")
}
}
},
color: {
pattern: colors
}
});
var chart2 = c3.generate({
bindto: d3.select('#chart2'),
data: {
columns: [[columns[0]].concat(data[0])],
type: 'pie',
onmouseover: function(id) {
if (chart1) chart1.focus(id);
if (chart2) chart2.focus(id);
},
onmouseout: function(id) {
if (chart1) chart1.revert();
if (chart2) chart2.revert();
}
},
legend: {
position: 'right',
show: true,
item: {
onclick: function(id) {
if (chart1) chart1.toggle(id);
if (chart2) chart2.toogle(id);
},
onmouseover: function(id) {
if (chart1) chart1.focus(id);
if (chart2) chart2.focus(id);
},
onmouseout: function(id) {
if (chart1) chart1.revert();
if (chart2) chart2.revert();
}
}
},
color: {
pattern: colors
},
});
for (var i = 1; i < columns.length; i++) {
setTimeout(function(column) {
chart1.load({
columns: [
[columns[column]].concat(data[column])
]
});
chart2.load({
columns: [[columns[column]].concat(data[column])]
});
}, (i * 5000 / columns.length), i);
}
document.getElementById("exportButton").onclick = function() {
exportChartToImage();
};
function exportChartToImage() {
var createImagePromise = new Promise(function(resolve, reject) {
var images = [];
d3.selectAll('svg').each(function() {
if (this.parentNode) {
images.push(getSvgImage(this.parentNode, true));
}
});
if (images.length > 0)
resolve(images);
else
reject(images);
});
createImagePromise.then(function(images) {
images.forEach(function(img, n) {
img.toBlob(function(blob) {
saveAs(blob, "image_" + (n + 1) + ".png");
});
});
})
.catch(function(error) {
throw error;
});
};
/**
* Converts a SVG-Chart to a canvas and returns it.
*/
function getSvgImage(svgContainer, png) {
var svgEl = d3.select(svgContainer).select('svg').node();
var svgCopyEl = svgEl.cloneNode(true);
if (!svgCopyEl)
return;
//remove elements not for printing
lensObject = d3.selectAll(".hidden-print").remove().exit();
//add temp document objects
var emptySvgEl = d3.select(document.createElementNS("http://www.w3.org/2000/svg", "svg")).attr("id", "emptysvg")
.attr("version", 1.1)
.attr("height", 2)
.node();
var canvasComputed = d3.select(document.createElement("canvas")).attr("id", "canvasComputed").node();
var container = d3.select(document.createElement("div")).attr("style", "display: none;")
.attr("class", "c3").node();
svgContainer.append(container);
container.append(svgCopyEl);
container.append(emptySvgEl);
container.append(canvasComputed);
//apply all CSS styles to SVG
exportStyles(svgCopyEl, emptySvgEl);
// transform SVG to canvas using external canvg
canvg(canvasComputed, new XMLSerializer().serializeToString(svgCopyEl));
//remove temp document objects
canvasComputed.remove();
emptySvgEl.remove();
svgCopyEl.remove();
container.remove();
return canvasComputed;
}
function exportStyles(svg, emptySvg) {
var tree = [];
var emptySvgDeclarationComputed = getComputedStyle(emptySvg);
//d3.select(svg).selectAll().each(function() {
$(svg).find("*").each(function() {
explicitlySetStyle(this, emptySvgDeclarationComputed);
});
}
function traverse(obj, tree) {
tree.push(obj);
if (obj.hasChildNodes()) {
var child = obj.firstChild;
while (child) {
if (child.nodeType === 1 && child.nodeName != 'SCRIPT') {
traverse(child, tree);
}
child = child.nextSibling;
}
}
return tree;
}
function explicitlySetStyle(element, emptySvgDeclarationComputed) {
var cSSStyleDeclarationComputed = getComputedStyle(element);
var i, len, key, value;
var computedStyleStr = "";
for (i = 0, len = cSSStyleDeclarationComputed.length; i < len; i++) {
key = cSSStyleDeclarationComputed[i];
value = cSSStyleDeclarationComputed.getPropertyValue(key);
if (value !== emptySvgDeclarationComputed.getPropertyValue(key)) {
if (key == 'visibility' && value == 'hidden') {
computedStyleStr += 'display: none;';
} else {
computedStyleStr += key + ":" + value + ";";
}
}
}
element.setAttribute('style', computedStyleStr);
}
<link href="https://cdnjs.cloudflare.com/ajax/libs/c3/0.6.12/c3.min.css" rel="stylesheet" />
<script src="https://d3js.org/d3.v5.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/c3/0.6.12/c3.min.js"></script>
<!-- Required to convert named colors to RGB -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/canvg/1.4/rgbcolor.min.js"></script>
<!-- Optional if you want blur -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/stackblur-canvas/1.4.1/stackblur.min.js"></script>
<!-- Main canvg code -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/canvg/1.5/canvg.js"></script>
<script src="https://fastcdn.org/FileSaver.js/1.1.20151003/FileSaver.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
<div id="chart1" class "c3">
</div>
<div id="chart2" class="c3">
</div>
<button type="button" id="exportButton">
export to SVG
</button>
=> http://jsfiddle.net/gothmogg/jLt3yq75/
This sample shows exemplary how we apply the CSS styles to the SVG. If we use normal canvg without getComputedStyle the x and y axes of the c3 chart look like a total mess...
Do you know faster way to get valid images?
Is there a way to filter the CSS-styles? Maybe use "c3" styles only?

I have managed to solve the performance problems of exporting C3 SVG charts to PNG by avoiding to use getComputedStyle.
Browsing the issues in C3 I found issue #313
https://github.com/c3js/c3/issues/313
For others http://www.nihilogic.dk/labs/canvas2image/ might also be a good place to look at but I found a solution at https://gist.github.com/aendrew/1ad2eed6afa29e30d52e#file-exportchart-js-L29.
I have changed the code from using angular to d3 and now it works (for me).
Hopefully this might help others having the same issue.
Here the working code. Please note: the css styles are only examined and inlined once.
var labels = ['2018-10-01', '2018-10-02', '2018-10-03', '2018-10-04', '2018-10-05', '2018-10-06', '2018-10-07', '2018-10-08', '2018-10-09', '2018-10-10', '2018-10-11', '2018-10-12', '2018-10-13', '2018-10-14', '2018-10-15', '2018-10-16', '2018-10-17', '2018-10-18', '2018-10-19', '2018-10-20', '2018-10-21', '2018-10-22', '2018-10-23', '2018-10-24', '2018-10-25', '2018-10-26', '2018-10-27', '2018-10-28', '2018-10-29', '2018-10-30', '2018-10-31', '2018-11-01', '2018-11-02', '2018-11-03', '2018-11-04', '2018-11-05', '2018-11-06', '2018-11-07', '2018-11-08', '2018-11-09', '2018-11-10', '2018-11-11', '2018-11-12', '2018-11-13', '2018-11-14', '2018-11-15', '2018-11-16', '2018-11-17', '2018-11-18', '2018-11-19', '2018-11-20', '2018-11-21', '2018-11-22', '2018-11-23', '2018-11-24', '2018-11-25', '2018-11-26', '2018-11-27', '2018-11-28', '2018-11-29', '2018-11-30', '2018-12-01', '2018-12-02', '2018-12-03', '2018-12-04', '2018-12-05', '2018-12-06', '2018-12-07', '2018-12-08', '2018-12-09', '2018-12-10', '2018-12-11', '2018-12-12', '2018-12-13', '2018-12-14', '2018-12-15', '2018-12-16', '2018-12-17', '2018-12-18', '2018-12-19', '2018-12-20', '2018-12-21', '2018-12-22', '2018-12-23', '2018-12-24', '2018-12-25', '2018-12-26', '2018-12-27', '2018-12-28', '2018-12-29', '2018-12-30', '2018-12-31', '2019-01-01', '2019-01-02', '2019-01-03', '2019-01-04', '2019-01-05', '2019-01-06', '2019-01-07', '2019-01-08', '2019-01-09', '2019-01-10', '2019-01-11', '2019-01-12', '2019-01-13', '2019-01-14', '2019-01-15', '2019-01-16', '2019-01-17', '2019-01-18', '2019-01-19', '2019-01-20', '2019-01-21', '2019-01-22', '2019-01-23', '2019-01-24', '2019-01-25', '2019-01-26', '2019-01-27', '2019-01-28', '2019-01-29', '2019-01-30', '2019-01-31', '2019-02-01', '2019-02-02', '2019-02-03', '2019-02-04', '2019-02-05', '2019-02-06', '2019-02-07', '2019-02-08', '2019-02-09', '2019-02-10', '2019-02-11', '2019-02-12', '2019-02-13', '2019-02-14', '2019-02-15', '2019-02-16', '2019-02-17', '2019-02-18', '2019-02-19', '2019-02-20', '2019-02-21', '2019-02-22', '2019-02-23', '2019-02-24', '2019-02-25', '2019-02-26', '2019-02-27', '2019-02-28'];
var columns = ['data101', 'data2', 'data347'];
var data = [
[0, 0, 2, 2, 1, 2, 7, 3, 1, 7, 5, 5, 5, 5, 6, 6, 11, 7, 2, 7, 16, 7, 3, 5, 10, 9, 11, 7, 3, 7, 7, 10, 10, 9, 18, 10, 20, 13, 9, 19, 16, 13, 20, 18, 14, 15, 18, 20, 19, 11, 13, 13, 12, 16, 11, 12, 21, 20, 23, 19, 19, 23, 23, 24, 23, 25, 21, 23, 20, 22, 21, 23, 24, 25, 27, 29, 28, 25, 24, 17, 20, 24, 22, 27, 21, 27, 19, 26, 31, 27, 28, 27, 21, 20, 27, 22, 22, 19, 17, 21, 23, 19, 22, 20, 21, 25, 15, 19, 20, 19, 21, 28, 17, 20, 14, 18, 17, 20, 27, 21, 18, 18, 20, 16, 27, 16, 16, 9, 18, 8, 19, 13, 8, 16, 15, 16, 9, 15, 10, 13, 10, 11, 10, 13, 12, 7, 14, 16, 13, 14, 8],
[0, 0, 338, 1201, 1268, 1371, 1286, 1148, 446, 288, 228, 253, 193, 201, 283, 393, 436, 379, 421, 444, 444, 417, 513, 353, 364, 399, 238, 191, 305, 337, 365, 349, 365, 244, 101, 39, 55, 72, 151, 98, 31, 127, 114, 92, 104, 196, 307, 245, 84, 168, 41, 38, 292, 488, 536, 569, 495, 448, 408, 358, 344, 380, 328, 334, 332, 330, 345, 312, 369, 377, 356, 301, 226, 273, 237, 116, 178, 133, 114, 138, 95, 143, 74, 74, 83, 47, 75, 101, 96, 59, 46, 128, 70, 57, 93, 80, 94, 93, 63, 86, 81, 63, 70, 102, 91, 67, 69, 68, 88, 76, 79, 70, 119, 88, 74, 94, 76, 54, 82, 90, 75, 130, 67, 78, 106, 91, 81, 27, 77, 21, 104, 83, 55, 60, 62, 304, 393, 191, 292, 77, 76, 55, 125, 89, 99, 127, 60, 75, 99, 120, 56],
[0, 0, 0, 1419, 7454, 12638, 10944, 7652, 4272, 11219, 9071, 7207, 7929, 8373, 9566, 6310, 7406, 9286, 8415, 7659, 6457, 3380, 10902, 10952, 10508, 7219, 4625, 4484, 4396, 5178, 5991, 7927, 14132, 14307, 5094, 10011, 6257, 9184, 18574, 12597, 11415, 7118, 9991, 10225, 14337, 4417, 12701, 17833, 23553, 10037, 4833, 5894, 19421, 14735, 12597, 8730, 5888, 11836, 13143, 17219, 10492, 10528, 8649, 11868, 10502, 6758, 7672, 8479, 11142, 22330, 26595, 4423, 17434, 8709, 9657, 7823, 9135, 19765, 18016, 16010, 8419, 7300, 8877, 9611, 9050, 8680, 8211, 6635, 3069, 10739, 6288, 6761, 7807, 16243, 20415, 23051, 19727, 8721, 6445, 8585, 13688, 14728, 17113, 16255, 3898, 4622, 3869, 3774, 4190, 3461, 4824, 4608, 4613, 3677, 3648, 3575, 3556, 4036, 3732, 2517, 4676, 4129, 3250, 4142, 3987, 4396, 3362, 2964, 1849, 2609, 2851, 3003, 3583, 3473, 3190, 2658, 4363, 3959, 4588, 3771, 4315, 3178, 3354, 3159, 2695, 4114, 4292, 3322, 1218, 3526, 3717]
];
var colors = ['#0065A3', '#767670', '#D73648', '#7FB2CE', '#00345B'];
var padding = 5;
//prepare chart data
var columnData = [];
var chartDataColumns = [];
var chartData = [];
var C3Styles = null;
chartData.push([columns[0]].concat(data[0]));
chartDataColumns = [
['x'].concat(labels)
].concat(chartData);
var chart1 = c3.generate({
bindto: d3.select('#chart1'),
data: {
x: 'x',
columns: [
['x'].concat(labels)
].concat(chartData),
type: 'line',
onmouseover: function(d) {
chart1.focus(d.id);
chart2.focus(d.id);
},
onmouseout: function() {
chart1.revert();
chart2.revert();
}
},
legend: {
position: 'right',
show: true,
item: {
onclick: function(id) {
if (chart1) chart1.toggle(id);
if (chart2) chart2.toogle(id);
},
onmouseover: function(id) {
if (chart1) chart1.focus(id);
if (chart2) chart2.focus(id);
},
onmouseout: function(id) {
if (chart1) chart1.revert();
if (chart2) chart2.revert();
}
}
},
tooltip: {
show: true,
format: {
value: function(value) {
return d3.format(",.0f")(value);
}
}
},
zoom: {
enabled: true
},
axis: {
x: {
type: 'timeseries',
tick: {
rotate: 90,
format: '%Y-%m-%d'
}
},
y: {
label: 'sample-data',
tick: {
format: d3.format(",")
}
}
},
color: {
pattern: colors
}
});
var chart2 = c3.generate({
bindto: d3.select('#chart2'),
data: {
columns: [
[columns[0]].concat(data[0])
],
type: 'pie',
onmouseover: function(id) {
if (chart1) chart1.focus(id);
if (chart2) chart2.focus(id);
},
onmouseout: function(id) {
if (chart1) chart1.revert();
if (chart2) chart2.revert();
}
},
legend: {
position: 'right',
show: true,
item: {
onclick: function(id) {
if (chart1) chart1.toggle(id);
if (chart2) chart2.toogle(id);
},
onmouseover: function(id) {
if (chart1) chart1.focus(id);
if (chart2) chart2.focus(id);
},
onmouseout: function(id) {
if (chart1) chart1.revert();
if (chart2) chart2.revert();
}
}
},
color: {
pattern: colors
},
});
for (var i = 1; i < columns.length; i++) {
setTimeout(function(column) {
chart1.load({
columns: [
[columns[column]].concat(data[column])
]
});
chart2.load({
columns: [
[columns[column]].concat(data[column])
]
});
}, (i * 5000 / columns.length), i);
}
document.getElementById("exportButton").onclick = function() {
exportChartToImage();
};
function exportChartToImage() {
var createImagePromise = new Promise(function(resolve, reject) {
var images = [];
d3.selectAll('svg').each(function() {
if (this.parentNode) {
images.push(getSvgImage(this.parentNode, true));
}
});
if (images.length > 0)
resolve(images);
else
reject(images);
});
createImagePromise.then(function(images) {
images.forEach(function(img, n) {
img.toBlob(function(blob) {
saveAs(blob, "image_" + (n + 1) + ".png");
});
});
})
.catch(function(error) {
throw error;
});
};
/**
* Converts a SVG-Chart to a canvas and returns it.
*/
function getSvgImage(svgContainer, png) {
var svgEl = d3.select(svgContainer).select('svg').node();
var svgCopyEl = svgEl.cloneNode(true);
if (!svgCopyEl)
return;
//remove elements not for printing
lensObject = d3.selectAll(".hidden-print").remove().exit();
//add temp document objects
var canvasComputed = d3.select(document.createElement("canvas")).attr("id", "canvasComputed").node();
var container = d3.select(document.createElement("div")).attr("style", "display: none;")
.attr("class", "c3").node();
svgContainer.append(container);
container.append(svgCopyEl);
container.append(canvasComputed);
/* taken from https://gist.github.com/aendrew/1ad2eed6afa29e30d52e#file-exportchart-js
and changed from, angular to D3 functions
*/
/* Take styles from CSS and put as inline SVG attributes so that Canvg
can properly parse them. */
var chartStyle;
if (!C3Styles) {
// Get rules from c3.css
var styleSheets = document.styleSheets;
for (var i = 0; i <= styleSheets.length - 1; i++) {
if (styleSheets[i].href && (styleSheets[i].href.indexOf('c3.min.css') !== -1 || styleSheets[i].href.indexOf('c3.css') !== -1)) {
try {
if (styleSheets[i].rules !== undefined) {
chartStyle = styleSheets[i].rules;
} else {
chartStyle = styleSheets[i].cssRules;
}
break;
}
//Note that SecurityError exception is specific to Firefox.
catch (e) {
if (e.name == 'SecurityError') {
console.log("SecurityError. Cant read: " + styleSheets[i].href);
continue;
}
}
}
if (chartStyle !== null && chartStyle !== undefined) {
C3Styles = {};
var selector;
// Inline apply all the CSS rules as inline
for (i = 0; i < chartStyle.length; i++) {
if (chartStyle[i].type === 1) {
selector = chartStyle[i].selectorText;
var styleDec = chartStyle[i].style;
for (var s = 0; s < styleDec.length; s++) {
C3Styles[styleDec[s]] = styleDec[styleDec[s]];
}
}
}
}
}
}
if (C3Styles)
d3.select(svgCopyEl).selectAll('.c3:not(.c3-chart):not(path)').style(C3Styles);
// SVG doesn't use CSS visibility and opacity is an attribute, not a style property. Change hidden stuff to "display: none"
d3.select(svgCopyEl).selectAll('*')
.filter(function(d) {
return d && d.style && (d.style('visibility') === 'hidden' || d.style('opacity') === '0');
})
.style('display', 'none');
//fix weird back fill
d3.select(svgCopyEl).selectAll("path").attr("fill", "none");
//fix no axes
d3.select(svgCopyEl).selectAll("path.domain").attr("stroke", "black");
//fix no tick
d3.select(svgCopyEl).selectAll(".tick line").attr("stroke", "black");
// transform SVG to canvas using external canvg
canvg(canvasComputed, new XMLSerializer().serializeToString(svgCopyEl));
//remove temp document objects
canvasComputed.remove();
svgCopyEl.remove();
container.remove();
return canvasComputed;
}
<link href="https://cdnjs.cloudflare.com/ajax/libs/c3/0.6.12/c3.min.css" rel="stylesheet" />
<script src="https://d3js.org/d3.v5.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/c3/0.6.12/c3.min.js"></script>
<!-- Required to convert named colors to RGB -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/canvg/1.4/rgbcolor.min.js"></script>
<!-- Optional if you want blur -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/stackblur-canvas/1.4.1/stackblur.min.js"></script>
<!-- Main canvg code -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/canvg/1.5/canvg.js"></script>
<script src="https://fastcdn.org/FileSaver.js/1.1.20151003/FileSaver.min.js"></script>
<div id="chart1" class "c3">
</div>
<div id="chart2" class="c3">
</div>
<button type="button" id="exportButton">
export to SVG
</button>
Unfortunately
document.styleSheets[i].rules
can't be accessed in the script here. It worked in my environment though.
Any idea why this does not work here?

Create combo bar chart and line chart with value "0" starting in the middle of the vertical line GOOGLE CHARTS

Is it possible to create a chart like the one below using google charts?
I have no idea how to go about this, so I decided to try using candlesticks chart.
with this basic starter code:
google.charts.load('current', {'packages':['corechart']});
google.charts.setOnLoadCallback(candleChart);
/*CANDEL CHART*/
function candleChart() {
var data = google.visualization.arrayToDataTable([
['Jan', 20, 28, 38, 45],
['Feb', 31, 38, 55, 66],
['Mar', 50, 55, 77, 80],
['Apr', 77, 77, 66, 50],
['May', 68, 66, 22, 15],
['jun', 68, 66, 22, 15],
['Jul', 68, 66, 22, 15],
['Aug', 68, 66, 22, 15],
['Sep', 68, 66, 22, 15],
['Oct', 68, 66, 22, 15],
['Nov', 68, 66, 22, 15],
['Dec', 68, 66, 22, 15]
// Treat first row as data as well.
], true);
var options = {
legend:'none'
};
var chart = new google.visualization.CandlestickChart(document.getElementById('candle_chart'));
chart.draw(data, options);
}
But this is not what I want, I don't know where to start and I couldn't find any documentation on how to make it like the chart in the image.
The vertical line needs 0 as the center like in the image with positive numbers increasing below it and positive numbers increasing above it.
The bottom blue bar would be total number of competitors that did not get accepted. The green bar being total of competitors that did get accepted.
the line will represent where the user placed in that number.
Please help I have no clue where to begin. Thank you in advance!

use a ComboChart with 3 series / y-axis columns.
for the first two series use stacked columns. the first being the negative values, the second positive.
isStacked: true,
seriesType: 'bars',
for the third, change the series type to line.
series: {
2: {
type: 'line'
}
},
data should look similar to following.
['x', 'y0', 'y1', 'y2'],
['Jan', -125, 100, -10],
['Feb', -100, 125, 5],
['Mar', -200, 415, 205],
see following working snippet...
google.charts.load('current', {
packages: ['corechart']
}).then(function () {
var data = google.visualization.arrayToDataTable([
['x', 'y0', 'y1', 'y2'],
['Jan', -125, 100, -10],
['Feb', -100, 125, 5],
['Mar', -200, 415, 205],
['Apr', -375, 180, -190],
['May', -180, 240, 100],
['Jun', -160, 100, -205],
['Jul', -125, 80, -12],
['Aug', -175, 110, -25],
['Sep', -100, 220, 150],
['Oct', -110, 390, 240],
['05 Nov', -10, 25, 30],
])
var options = {
chartArea: {
height: '100%',
width: '100%',
top: 16,
right: 16,
bottom: 60,
left: 60
},
colors: ['#03a9f4', '#cddc39', '#616161'],
hAxis: {
title: 'FY 18'
},
height: '100%',
isStacked: true,
legend: {
position: 'none'
},
pointSize: 6,
series: {
2: {
type: 'line'
}
},
seriesType: 'bars',
vAxis: {
ticks: [
{v: -400, f: '400'},
{v: -200, f: '200'},
0,
200,
400
],
title: 'Amount'
},
width: '100%'
}
var chart = new google.visualization.ComboChart(document.getElementById('chart'))
chart.draw(data, options)
});
#chart {
height: 320px;
}
<script src="https://www.gstatic.com/charts/loader.js"></script>
<div id="chart"></div>

It's this:
var options = {vAxis: { ticks: [-80,-40,0,40,80] }}
Read through the documentation! Every page on the google charts site lists all the configuration options for that chart type: super useful stuff.
Working JS fiddle cribbed from a gcharts example here.

Stacked bar plot using javascript

Hi all I am trying to plot stacked bar using canvasJS for following nested list:
pepidstat=[[[2016, 61, 'Feb'], [2011, 367, 'Feb'], [2013, 83, 'Feb'], [2014, 89, 'Feb'], [2015, 106, 'Feb']], [[2016, 43, 'Jan'], [2011, 128, 'Jan'], [2013, 150, 'Jan'], [2014, 74, 'Jan'], [2015, 121, 'Jan']]]
And my workable javascript is:
<script type="text/javascript">
window.onload = function () {
var chartbar = new CanvasJS.Chart("chartContainerBar",
{
title:{
text: "Yearly Growth of Total Peptides"
},
animationEnabled: true,
axisX: {
interval: 1,
labelFontSize: 10,
lineThickness: 0
},
data:pepiddata
});
chartbar.render();
chartbar={};
}
var pepidstatlist = {{ pepidstat|safe }};
var pepiddata = [];var pepiddataSeries = { type: "stackedBar",showInLegend: "true" };
var pepidname= [];
var pepiddataPoints = [];
for (pi = 0; pi < pepidstatlist.length;pi++) {
piname = pepidstatlist[pi][0][2];
for (pj = 0; pj < pepidstatlist[pi].length;pj++) {
pidx=pepidstatlist[pi][pj][0];
pidy=pepidstatlist[pi][pj][1];
pepiddataPoints.push({
x:pidx,
y: pidy,
label: pidx,
name:piname,
toolTipContent: "{name}-{label}:{y}",
});
}
pepiddataSeries.name = piname; // here I want pass each month name
}
pepiddataSeries.dataPoints = pepiddataPoints;
pepiddata.push(pepiddataSeries);
</script>
This script is working perfectly except I can't assign each month name in data series. Can you please suggest where do I need to modify my script?
Thanks

You are just creating a single dataSeries. Create two dataSeries and push it to data. And everything else just works fine.
pepidstat=[[[2011, 61, 'Feb'], [2012, 367, 'Feb'], [2013, 83, 'Feb'], [2014, 89, 'Feb'], [2015, 106, 'Feb']], [[2011, 43, 'Jan'], [2012, 128, 'Jan'], [2013, 150, 'Jan'], [2014, 74, 'Jan'], [2015, 121, 'Jan']]]
var pepidstatlist = pepidstat;
var pepiddata = [];
var pepidname= [];
for (pi = 0; pi < pepidstatlist.length;pi++) {
piname = pepidstatlist[pi][0][2]; //month
var pepiddataPoints = [];
for (pj = 0; pj < pepidstatlist[pi].length;pj++) {
pidx=pepidstatlist[pi][pj][0]; //Year
pidy=pepidstatlist[pi][pj][1]; //value
pepiddataPoints.push({
x:pidx,
y: pidy,
label: pidx,
name:piname,
toolTipContent: "{name}-{label}:{y}",
});
}
var pepiddataSeries = { type: "stackedBar", showInLegend: "true" };
pepiddataSeries.name = piname; // here I want pass each month name
pepiddataSeries.dataPoints = pepiddataPoints;
pepiddata.push(pepiddataSeries);
}
var chartbar = new CanvasJS.Chart("chartContainer",
{
title:{
text: "Yearly Growth of Total Peptides"
},
animationEnabled: true,
axisX: {
interval: 1,
labelFontSize: 10,
lineThickness: 0
},
data: pepiddata,
});
chartbar.render();
<script src="http://canvasjs.com/assets/script/canvasjs.min.js"></script>
<br/><!-- Just so that JSFiddle's Result label doesn't overlap the Chart -->
<div id="chartContainer" style="height: 360px; width: 100%;"></div>
Tips: Sort your array based on year value inside your array.

Apply pagination on column chart using Highcharts

I am drawing a column chart (see image below) using Highcharts.
So far, I am successfully able to draw the chart, but I'm facing issues with pagination (next-previous buttons).
One idea would be to use a separate <div> element just below my chart and write a logic to show buttons, but in my requirements, I need to show the next and previous buttons in the chart area itself.
<div id="chart-2" class="graph"></div>
<div id="buttons"></div>
The following is the code to draw a chart - I have 12 categories (Jan - Dec), I want to display (Jan - Jun) on one page and (Aug - Dec) on another page.
$('#chart-2').highcharts({
chart :{
backgroundColor: '#3f3b53',
type:'column'
},
legend : {
symbolHeight : 8,
symbolWidth : 8,
symbolRadius : 4,
margin: 15,
backgroundColor: '#FFFFFF',
layout:'horizontal',
itemDistance:25,
symbolMargin:10,
itemStyle: {
color: 'black',
fontWeight: 'normal'
}
},
title: {
text: ''
},
xAxis: {
categories: [
'JAN',
'FEB',
'MAR',
'APR',
'MAY',
'JUN',
'JUL',
'AUG',
'SEP',
'OCT',
'NOV',
'DEC'
],
labels: {
style: {
color: '#FFFFFF'
}
}
},
yAxis: {
min: 0,
title: {
text: ''
}
},
tooltip: {
backgroundColor: '#FFFFFF',
borderColor: '#FFFFFF',
borderRadius: 0,
borderWidth: 5,
formatter: function() {
return ' <b>' + this.y + '</b><br><b>'+this.series.name+'</b>';
}
},
plotOptions: {
column: {
pointPadding: 0.2,
borderWidth: 0
}
},
series: [{
name: 'Physical Medicine',
color: '#0099ff',
data: [90, 80, 85, 70, 80, 50, 88, 85, 20, 30, 40, 50]
},{
name: 'Phychiatry',
color: '#ff3399',
data: [80, 70, 85, 60, 50, 70, 38, 89, 70, 40, 20, 50]
},{
name: 'Otrhopedic Surgery',
color: '#cc0000',
data: [88, 79, 81, 50, 40, 76, 31, 81, 65, 30, 29, 59]
},{
name: 'Nephrology',
color: '#ff5c33',
data: [88, 89, 61, 60, 70, 36, 21, 51, 69, 39, 21, 51]
},{
name: 'Cardiology',
color: '#ffa64d',
data: [18, 29, 31, 50, 40, 46, 81, 31, 89, 39, 81, 31]
},{
name: 'General Surgery',
color: '#ffe066',
data: [28, 59, 61, 59, 49, 41, 31, 41, 81, 31, 87, 38]
},{
name: 'General Practise',
color: '#a64dff',
data: [78, 69, 41, 89, 29, 81, 21, 11, 41, 35, 92, 89]
},{
name: 'Pulmanory Diesease',
color: '#0066ff',
data: [58, 39, 49, 89, 39, 61, 25, 45, 23, 76, 42, 89]
}]
}, function(chart) { // on complete
//chart.renderer.button("abc", 100, 100, function() {}, {}, {}, {}).add();
chart.renderer.button('Reset zoom', null, null, chart.resetZoom, {
zIndex: 20
}).attr({
align: 'right',
title: 'Reset zoom level 1:1'
}).add(chart.zoomGroupButton).align({
align: 'right',
x: -10,
y: 10
}, false, null);
});

If I understand you correctly, you can use chart.renderer.button for adding new buttons to your chart, that will change the extremes of your xAxis.
function(chart) { // on complete
chart.renderer.button('<', chart.plotLeft - 60, chart.plotHeight + chart.plotTop).addClass('left').add();
chart.renderer.button('>', chart.plotLeft + chart.plotWidth + 30, chart.plotHeight + chart.plotTop).addClass('right').add();
$('.left').click(function() {
chart.xAxis[0].setExtremes(0, 5);
});
$('.right').click(function() {
chart.xAxis[0].setExtremes(6, 11);
})
}
When you will change you xAxis extremes you will be able to show the half of your points on left button click, and the second half on right button click.
You can find options I have used in Highcharts API:
http://api.highcharts.com/highcharts
And here you can find an example how it can work:
http://jsfiddle.net/1dtt1Lph/2/

However, The Accepted Answer is true for Jan to Dec. If there are some different cases then above code will get only two screen. I have made a some customization to the accepted answer hope it will surely help others for different scenerio.
function (chart) {
var x=6;
var max_plot=12;
chart.renderer.button('<', chart.plotLeft - 60, chart.plotHeight + chart.plotTop).addClass('left').add();
chart.renderer.button('>', chart.plotLeft + chart.plotWidth + 30, chart.plotHeight + chart.plotTop).addClass('right').add();
$('.left').click(function() {
if (x < 0) {
x = 0;
} else {
console.log('fsafg');
chart.xAxis[0].setExtremes(x-6, x-1);
x=x-6;
}
});
$('.right').click(function() {
if (x > max_plot) {
x = max_plot;
} else {
chart.xAxis[0].setExtremes(x+1, x+6);
x=x+6;
}
});
}

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