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I have two line charts in a grid so that I can have common zooming. Now, I want to have tooltip such that when I hover on one chart, tooltip popups in other as well. So, I can see, how the values are in both charts at the specific x-axis value.
Below is my code,
let base = +new Date(1968, 9, 3);
let oneDay = 24 * 3600 * 1000;
let date = [];
let values1 = [Math.random() * 300];
let values2 = [Math.random() * 300];
for (let i = 1; i < 20000; i++) {
var now = new Date((base += oneDay));
date.push(i)
// date.push([now.getFullYear(), now.getMonth() + 1, now.getDate()].join('/'));
values1.push(Math.round((Math.random() - 0.5) * 20 + values1[i - 1]));
values2.push(Math.round((Math.random() - 0.5) * 20 + values2[i - 1]));
}
option = {
// tooltip: {
// trigger: 'none',
// // position: function (pt) {
// // return [pt[0], '10%'];
// // }
// },
toolbox: {
feature: {
dataZoom: {
yAxisIndex: 'none'
},
restore: {},
saveAsImage: {}
}
},
grid: [
{
// left: '3%',
// right: '4%',
top: '50%',
containLabel: true,
// show: true
},
{
// left: '3%',
// right: '4%',
bottom: '50%',
containLabel: true,
// show: true
},
],
xAxis: [
{
type: 'category',
boundaryGap: false,
data: date,
gridIndex: 0,
},
{
type: 'category',
boundaryGap: false,
data: date,
gridIndex: 1,
},
],
yAxis: [
{
type: 'value',
boundaryGap: [0, '100%'],
gridIndex: 0,
},
{
type: 'value',
boundaryGap: [0, '100%'],
gridIndex: 1,
},
],
dataZoom: [
{
type: 'inside',
// start: 0,
// end: 10
xAxisIndex: [0, 1],
},
// {
// // start: 0,
// // end: 10
// xAxisIndex: [0, 1],
// }
],
series: [
{
name: 'Fake Data',
type: 'line',
symbol: 'none',
sampling: 'lttb',
itemStyle: {
color: 'rgb(255, 70, 131)'
},
areaStyle: {
color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [
{
offset: 0,
color: 'rgb(255, 158, 68)'
},
{
offset: 1,
color: 'rgb(255, 70, 131)'
}
])
},
data: values1,
gridIndex: 0,
xAxisIndex: 0,
yAxisIndex: 0,
},
{
name: 'Faker Data',
type: 'line',
symbol: 'none',
sampling: 'lttb',
itemStyle: {
color: 'rgb(255, 70, 131)'
},
areaStyle: {
color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [
{
offset: 0,
color: 'rgb(255, 158, 68)'
},
{
offset: 1,
color: 'rgb(255, 70, 131)'
}
])
},
data: values2,
gridIndex: 1,
xAxisIndex: 1,
yAxisIndex: 1,
}
]
};
The above code will render 2 charts with common zooming. I tried tooltip with item, axes and none but they didnt work.
How can I do this?
Thank you.
Solution 1
First, when using this kind of chart (with xAxis), it's recommanded to use trigger: "axis".
Then to connect the tooltip, what you actually want to do is to connect the axisPointer :
// add this to your chart option
axisPointer: {
link: [
{
xAxisIndex: 'all'
}
]
},
This being done, your 2 tooltips will be connected. But echart seems to struggle to display the tooltip on large dataset using xAxis.type = 'category' (20K points in your example). If you want to use big dataset with 'date' format on x, I recommand this :
Format you series like a list of [date, value]
Use xAxis.type = 'time'
Remove xAxis.data
Here is the full working code of your example.
Solution 2
Another solution would be to create 2 separate charts and to connect them (zoom, tooltip ...) using
echarts.connect([chart1, chart2]);
Here is what the code would look like with this method :
var myChart1 = echarts.init(document.getElementById('main1'));
var myChart2 = echarts.init(document.getElementById('main2'));
let base = +new Date(1968, 9, 3);
let oneDay = 24 * 3600 * 1000;
let date = [];
let values1 = [Math.random() * 300];
let values2 = [Math.random() * 300];
for (let i = 1; i < 200; i++) {
var now = new Date((base += oneDay));
date.push(i)
// date.push([now.getFullYear(), now.getMonth() + 1, now.getDate()].join('/'));
values1.push(Math.round((Math.random() - 0.5) * 20 + values1[i - 1]));
values2.push(Math.round((Math.random() - 0.5) * 20 + values2[i - 1]));
}
var option1 = {
tooltip: {
trigger: 'axis',
},
xAxis: [
{
type: 'category',
boundaryGap: false,
data: date
}
],
yAxis: [
{
type: 'value',
boundaryGap: [0, '100%'],
},
],
dataZoom: [
{
type: 'inside',
},
],
series: [
{
name: 'Fake Data',
type: 'line',
symbol: 'none',
sampling: 'lttb',
itemStyle: {
color: 'rgb(255, 70, 131)'
},
areaStyle: {
color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [
{
offset: 0,
color: 'rgb(255, 158, 68)'
},
{
offset: 1,
color: 'rgb(255, 70, 131)'
}
])
},
data: values1,
},
]
};
var option2 = {
tooltip: {
trigger: 'axis',
},
xAxis: [
{
type: 'category',
boundaryGap: false,
data: date
}
],
yAxis: [
{
type: 'value',
boundaryGap: [0, '100%'],
},
],
dataZoom: [
{
type: 'inside',
},
],
series: [
{
name: 'Faker Data',
type: 'line',
symbol: 'none',
sampling: 'lttb',
itemStyle: {
color: 'rgb(255, 70, 131)'
},
areaStyle: {
color: new echarts.graphic.LinearGradient(0, 0, 0, 1, [
{
offset: 0,
color: 'rgb(255, 158, 68)'
},
{
offset: 1,
color: 'rgb(255, 70, 131)'
}
])
},
data: values2,
},
]
};
myChart1.setOption(option1)
myChart2.setOption(option2)
echarts.connect([myChart1, myChart2]);
<html>
<body>
<script src="https://cdnjs.cloudflare.com/ajax/libs/echarts/5.3.2/echarts.min.js"></script>
<div id="main1" style="width: 600px; height:200px;"></div>
<div id="main2" style="width: 600px; height:200px;"></div>
</body>
</html>
I want to plot the variance of multiple signals in a chart (or basically fillup the space between an upper and a lower signal).
Is it possible to create such kind of charts?
I saw the confidence-band example (https://echarts.apache.org/examples/en/editor.html?c=confidence-band) , however this seems to work only for one signal in a chart.
Another solution would be to draw thousands of small rectangles using markArea around the signals but this slows down the performance of the chart (e.g. when scrolling the x-axisis) and doesnt look very smooth.
As I know the common practice in Echarts community draw usual chart type (bar, line, ...) with series (read docs) and write visual logic by custom series for unique. Also Echarts has some API methods (undocumented) like registerVisual, registerLayout that can be used for redefine layouts, computation and so on.
For described task you need to use custom series for calculate bands coordinates. It's not very simple because (it seems to me) mandatory requirements with confidence band is rare.
About performance. Echarts by default use Canvas for render visual parts. Usually Canvas has no many parts in HTML for display chart, it's just imageData rendered by browser and it almost doesn't matter how many data point need to display. In other words, we see PNG, and not a lot of div, svg, g and others layers with geometric primitives as in SVG but heavy computation complex business logic may affect the responsiveness of UI as in other charts.
Below example how would I implement this feature. I'm not sure that's the right way but it work and can be tuned.
var dates = ['2020-01-03','2020-01-31','2020-02-17','2020-02-18','2020-03-13','2020-04-10','2020-05-01','2020-05-19','2020-05-22','2020-05-25'];
var sensor1 = [0.6482086334797242, 0.9121368038482911, 0.3205730196548609, 0.8712238348969002, 0.4487714576177558, 0.9895025457815625, 0.0415490306934774, 0.1592908349676395, 0.5356690594518069, 0.9949108727912939];
var sensor2 = [0.8278430459565170, 0.5700757488718124, 0.9803575576802187, 0.0770264671179814,0.2843735619252158,0.8140209568127250,0.6055633547296827,0.9554255125528607,0.1703504100638565,0.5653245914197297];
// Calculate fake bands coordinates
function calcContourCoords(seriesData, ctx){
var addNoise = idx => Math.round(Math.random() * 8 * idx);
var pixelCoords = seriesData.map((dataPoint, idx) => {
return [
ctx.convertToPixel({ xAxisIndex: 0 }, idx) + addNoise(idx),
ctx.convertToPixel({ yAxisIndex: 0 }, dataPoint) + addNoise(idx)
]
});
var polyfilltype = ClipperLib.PolyFillType.pftEvenOdd;
var linePath = new ClipperLib.Path();
var delta = 15;
var scale = 1;
for (var i = 0; i < pixelCoords.length; i++){
var point = new ClipperLib.IntPoint(...pixelCoords[i]);
linePath.push(point);
}
var co = new ClipperLib.ClipperOffset(1.0, 0.25);
co.AddPath(linePath, ClipperLib.JoinType.jtRound, ClipperLib.EndType.etOpenSquare);
co.Execute(linePath, delta * scale);
return co.m_destPoly.map(c => [c.X, c.Y])
}
// Render visual by calculated coords
function renderItem(params, api){
// Prevent multiple call
if (params.context.rendered) return;
params.context.rendered = true;
// Get stored in series data for band
var series = myChart.getModel().getSeriesByName(params.seriesName)[0];
var seriesData = series.get('data');
// Calculate band coordinates for series
var bandCoords = calcContourCoords(seriesData, myChart);
// Draw band
return {
type: 'polygon',
shape: {
points: echarts.graphic.clipPointsByRect(bandCoords, {
x: params.coordSys.x,
y: params.coordSys.y,
width: params.coordSys.width,
height: params.coordSys.height
})
},
style: api.style({
fill: series.option.itemStyle.color
})
};
}
// =============
var option = {
tooltip: {},
legend: {
data:['Label']
},
xAxis: [
{ name: 'x0', data: dates, boundaryGap: true },
{ name: 'x1', data: dates, boundaryGap: true, show: false },
],
yAxis: [
{ name: 'y0' },
{ name: 'y1', show: false },
],
series: [
// First line
{
name: 'Sensor1',
type: 'line',
data: sensor1,
itemStyle: { color: 'rgba(69, 170, 242, 1)' },
yAxisIndex: 0,
xAxisIndex: 0,
},
{
name: 'BandSensor1',
type: 'custom',
data: sensor1,
itemStyle: { color: 'rgba(69, 170, 242, 0.2)' },
renderItem: renderItem,
yAxisIndex: 0,
xAxisIndex: 0,
},
// Second line
{
name: 'Sensor2',
type: 'line',
data: sensor2,
itemStyle: { color: 'rgba(253, 151, 68, 1)' },
yAxisIndex: 1,
xAxisIndex: 1,
},
{
name: 'BandSensor2',
type: 'custom',
data: sensor2,
itemStyle: { color: 'rgba(253, 151, 68, 0.2)' },
renderItem: renderItem,
yAxisIndex: 1,
xAxisIndex: 1,
},
]
};
var myChart = echarts.init(document.getElementById('main'));
myChart.setOption(option);
<script src="https://cdn.jsdelivr.net/npm/clipper-lib#6.4.2/clipper.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/echarts/4.7.0/echarts.min.js"></script>
<div id="main" style="width: 800px;height:600px;"></div>
Improved version of #Sergey Fedorov- this solution takes into account min,max values or. dynamic border thicness of the band
var dates = ['2020-01-03', '2020-01-31', '2020-02-17', '2020-02-18', '2020-03-13', '2020-04-10', '2020-05-01', '2020-05-19', '2020-05-22', '2020-05-25', '2020-05-27'];
const data_raw1 = [
{ min: -5, mean: 0, max: 0 },
{ min: 1, mean: 2, max: 5 },
{ min: 2, mean: 4, max: 6 },
{ min: 4, mean: 5, max: 8 },
{ min: 7, mean: 11, max: 14 },
{ min: 11, mean: 15, max: 17 },
{ min: 6, mean: 8, max: 8.5 },
{ min: -1, mean: 5, max: 6 },
{ min: 4, mean: 9, max: 12 },
{ min: 14, mean: 18, max: 22 },
{ min: 18, mean: 20, max: 21 },
];
const data_raw2 = [
{ min: 10, mean: 15, max: 20 },
{ min: 12, mean: 25, max: 30 },
{ min: 22, mean: 26, max: 32 },
{ min: 30, mean: 31, max: 45 },
{ min: 47, mean: 49, max: 50 },
{ min: 30, mean: 32, max: 41 },
{ min: 34, mean: 36, max: 38 },
{ min: 40, mean: 42, max: 45 },
{ min: 47, mean: 49, max: 56 },
{ min: 60, mean: 68, max: 70 },
{ min: 75, mean: 80, max: 85 },
];
const data_raw3 = data_raw2.map(d => ({ min: d.min * 1.2 + 10, mean: d.mean * 1.4 + 11, max: d.max * 1.5 + 12 }))
function calcContourCoords(seriesData, ctx) {
console.log("seriesData=", seriesData);
const pixelCoords = []
for (let i = 0; i < seriesData.length; i++) {
console.log(i, seriesData[i]);
pixelCoords.push([
ctx.convertToPixel({ xAxisIndex: 0 }, i),
ctx.convertToPixel({ yAxisIndex: 0 }, seriesData[i].max)
]);
}
console.log("\n")
for (let i = seriesData.length - 1; i >= 0; i--) {
console.log(i, seriesData[i]);
pixelCoords.push([
ctx.convertToPixel({ xAxisIndex: 0 }, i),
ctx.convertToPixel({ yAxisIndex: 0 }, seriesData[i].min)
]);
if (i == 0) {
pixelCoords.push([
ctx.convertToPixel({ xAxisIndex: 0 }, i),
ctx.convertToPixel({ yAxisIndex: 0 }, seriesData[i].max)
]);
}
}
var linePath = new ClipperLib.Path();
var delta = 10;
var scale = 1;
for (var i = 0; i < pixelCoords.length; i++) {
var point = new ClipperLib.IntPoint(...pixelCoords[i]);
linePath.push(point);
}
var co = new ClipperLib.ClipperOffset(1.0, 0.25);
co.AddPath(linePath, ClipperLib.JoinType.jtRound, ClipperLib.EndType.etClosedPolygon);
co.Execute(linePath, delta * scale);
return co.m_destPoly.map(c => [c.X, c.Y])
}
// Render visual by calculated coords
function renderItem(params, api) {
// Prevent multiple call
if (params.context.rendered) return;
params.context.rendered = true;
// Get stored in series data for band
var series = myChart.getModel().getSeriesByName(params.seriesName)[0];
var seriesData = series.get('data');
// Calculate band coordinates for series
var bandCoords = calcContourCoords(seriesData, myChart);
// Draw band
return {
type: 'polygon',
shape: {
points: echarts.graphic.clipPointsByRect(bandCoords, {
x: params.coordSys.x,
y: params.coordSys.y,
width: params.coordSys.width,
height: params.coordSys.height
})
},
style: api.style({
fill: series.option.itemStyle.color
})
};
}
// =============
var option = {
tooltip: {},
legend: {
data: ['Label']
},
xAxis: [
{ name: 'x0', data: dates, boundaryGap: true },
{ name: 'x1', data: dates, boundaryGap: true, show: false },
],
yAxis: [
{ name: 'y0' },
{ name: 'y1', show: false },
],
series: [
// First line
{
name: 'Sensor1',
type: 'line',
data: data_raw1.map(d => d.mean),
itemStyle: { color: 'rgba(69, 170, 242, 1)' },
yAxisIndex: 0,
xAxisIndex: 0,
itemStyle: { color: 'red' },
},
{
name: 'BandSensor1',
type: 'custom',
data: data_raw1,
itemStyle: { color: 'rgba(69, 170, 242, 0.2)' },
renderItem: renderItem,
yAxisIndex: 0,
xAxisIndex: 0,
itemStyle: { color: 'red', opacity: 0.1 },
},
{
name: 'Sensor2',
type: 'line',
data: data_raw2.map(d => d.mean),
itemStyle: { color: 'rgba(69, 170, 242, 1)' },
yAxisIndex: 0,
xAxisIndex: 0,
itemStyle: { color: 'blue' },
},
{
name: 'BandSensor2',
type: 'custom',
data: data_raw2,
itemStyle: { color: 'rgba(69, 170, 242, 0.2)' },
renderItem: renderItem,
yAxisIndex: 0,
xAxisIndex: 0,
itemStyle: { color: 'blue', opacity: 0.1 },
},
{
name: 'Sensor3',
type: 'line',
data: data_raw3.map(d => d.mean),
itemStyle: { color: 'rgba(69, 170, 242, 1)' },
yAxisIndex: 0,
xAxisIndex: 0,
itemStyle: { color: 'green' },
},
{
name: 'BandSensor3',
type: 'custom',
data: data_raw3,
itemStyle: { color: 'rgba(69, 170, 242, 0.2)' },
renderItem: renderItem,
yAxisIndex: 0,
xAxisIndex: 0,
itemStyle: { color: 'green', opacity: 0.1 },
},
]
};
var myChart = echarts.init(document.getElementById('chart'));
myChart.setOption(option);
I have some code with event on click in echart.js like this
mytempChart2.on('click', function (params)
//params.seriesName return aktif/non aktif
{window.open('' + encodeURIComponent(params.dataType) + '.html', '_self');
});
I read documentation echart on https://www.echartsjs.com/en/tutorial.html#Events%20and%20Actions%20in%20ECharts
but i dont find param to get xAxis data, xAxis data on my chart is date.
Look my picture i want to get this value (red circle)
My full code
// ==============================================================
// Line chart
// ==============================================================
var dom2 = document.getElementById("grafik2");
var mytempChart2 = echarts.init(dom2);
var app = {};
option2 = null;
option2 = {
tooltip : {
trigger: 'axis'
},
legend: {
data:['Non-Aktif', 'Aktif Kembali']
},
toolbox: {
show : true,
feature : {
magicType : {show: true, type: ['line', 'bar']},
restore : {show: true},
saveAsImage : {show: true}
}
},
color: ["#EF5350", "#2FBF2F"],
calculable : true,
xAxis : [
{
type : 'category',
boundaryGap : false,
data : [01,02,03,04,05,06,07,08,09,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,],
}
],
yAxis : [
{
type : 'value',
axisLabel : {
formatter: '{value}'
}
}
],
series : [
{
name:'Non-Aktif',
type:'line',
data:[0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,],
markPoint : {
data : [
{name: 'tanggal', value: 100},
{type : 'max', name: 'Tertinggi'},
{type : 'min', name: 'Terendah'}
]
},
itemStyle: {
normal: {
lineStyle: {
shadowColor : 'rgba(0,0,0,0.3)',
shadowBlur: 10,
shadowOffsetX: 8,
shadowOffsetY: 8
}
}
},
markLine : {
data : [
{type : 'average', name : 'Rata-rata'}
]
}
},
{
name:'Aktif Kembali',
type:'line',
data:[0,0,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,],
markPoint : {
data : [
{type : 'max', name: 'Tertinggi'},
{type : 'min', name: 'Terendah'}
]
},
itemStyle: {
normal: {
lineStyle: {
shadowColor : 'rgba(0,0,0,0.3)',
shadowBlur: 10,
shadowOffsetX: 8,
shadowOffsetY: 8
}
}
},
markLine : {
data : [
{type : 'average', name : 'Rata-rata'}
]
}
}
]
};
if (option2 && typeof option2 === "object") {
mytempChart2.setOption(option2, true), $(function() {
function resize() {
setTimeout(function() {
mytempChart2.resize()
}, 100)
}
$(window).on("resize", resize), $(".sidebartoggler").on("click", resize)
});
}
mytempChart2.setOption(option2);
mytempChart2.on('click', function (params)
//params.seriesName return aktif/non aktif
{window.open('' + encodeURIComponent(params.name) + '.html', '_self');
});
You can use the params object as specified by you. you need to access the name property which holds the value on x axis.
Please find the working code below:
// 基于准备好的dom,初始化echarts实例
var myChart = echarts.init(document.getElementById('main'));
option = {
xAxis: [{
type: 'category',
boundaryGap: false,
data: [01, 02, 03, 04, 05, 06, 07, 08, 09, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, ],
}],
yAxis: [{
type: 'value',
axisLabel: {
formatter: '{value}'
}
}],
series: [{
name: 'Non-Aktif',
type: 'line',
data: [0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ],
markPoint: {
data: [{
name: 'tanggal',
value: 100
},
{
type: 'max',
name: 'Tertinggi'
},
{
type: 'min',
name: 'Terendah'
}
]
},
itemStyle: {
normal: {
lineStyle: {
shadowColor: 'rgba(0,0,0,0.3)',
shadowBlur: 10,
shadowOffsetX: 8,
shadowOffsetY: 8
}
}
},
markLine: {
data: [{
type: 'average',
name: 'Rata-rata'
}]
}
},
{
name: 'Aktif Kembali',
type: 'line',
data: [0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ],
markPoint: {
data: [{
type: 'max',
name: 'Tertinggi'
},
{
type: 'min',
name: 'Terendah'
}
]
},
itemStyle: {
normal: {
lineStyle: {
shadowColor: 'rgba(0,0,0,0.3)',
shadowBlur: 10,
shadowOffsetX: 8,
shadowOffsetY: 8
}
}
},
markLine: {
data: [{
type: 'average',
name: 'Rata-rata'
}]
}
}
]
}
// 使用刚指定的配置项和数据显示图表。
myChart.setOption(option);
myChart.on('click', function(params) {
console.log(params.name);
});
<div id="main" style="width: 600px;height:400px;"></div>
<script src="https://cdnjs.cloudflare.com/ajax/libs/echarts/4.6.0/echarts.min.js"></script>
How do I achieve a bar gauge chart?
I need a chart like this:
I followed the steps from here, but I am not able to define the stops properly.
https://www.safaribooksonline.com/library/view/learning-highcharts/9781849519083/ch04s04.html
These are my stops:
stops: [
[0, '#ffffff'],
[1, '#ff0000'],
[2, '#f3f03c'],
[3, '#FFA500'],
[4, '#02c102']
]
Please advice.
var value = "3.0";
Highcharts.chart('barGauge', {
chart: {
type: 'bar',
plotBorderWidth: 2,
plotBackgroundColor: '#D6D6EB',
plotBorderColor: '#D8D8D8',
plotShadow: true,
spacingBottom: 43,
width: 350,
height: 120
},
title: {
text: ''
},
credits: {
enabled: false
},
xAxis: {
tickLength: 0
},
yAxis: {
title: {
text: null
},
labels: {
y: 1
},
min: 0,
max: 4,
tickInterval: 1,
minorTickInterval: 1,
tickWidth: 1,
tickLength: 8,
minorTickLength: 5,
minorTickWidth: 1,
minorGridLineWidth: 0
},
legend: {
enabled: false
},
series: [{
borderColor: '#7070B8',
borderRadius: 3,
borderWidth: 1,
color: {
linearGradient: {
x1: 0,
y1: 0,
x2: 1,
y2: 0
},
stops: [
[0, '#ffffff'],
[1, '#ff0000'],
[2, '#f3f03c'],
[3, '#FFA500'],
[4, '#02c102']
]
},
pointWidth: 50,
data: [parseInt(value)]
}]
});
<script src="https://code.highcharts.com/highcharts.js"></script>
<script src="https://code.highcharts.com/highcharts-more.js"></script>
<div id="barGauge"></div>
So if the value is 1, the bar should progress from 0 to 1 and be red.
So if the value is 2, the bar should progress from 0 to 2 and be yellow.
So if the value is 3, the bar should progress from 0 to 3 and be orange.
So if the value is 4, the bar should progress from 0 to 4 and be green.
You can create an array of zones and apply a specific color to each value range.
An array defining zones within a series. Zones can be applied to the X axis, Y axis or Z axis for bubbles, according to the zoneAxis option. The zone definitions have to be in ascending order regarding to the value.
const gaugeValue = 4;
Highcharts.chart('barGauge', {
chart: {
type: 'bar',
height: 120
},
title: {
text: ''
},
yAxis: {
min: 0,
max: 4,
tickInterval: 1,
title: {
text: null
},
},
legend: {
enabled: false
},
series: [{
data: [parseInt(gaugeValue)],
zones: [{
value: 1,
color: '#ffffff'
}, {
value: 2,
color: '#ff0000'
},
{
value: 3,
color: '#f3f03c'
},
{
value: 4,
color: '#FFA500'
},
{
value: 5,
color: '#02c102'
}
]
}]
});
<script src="https://code.highcharts.com/highcharts.js"></script>
<script src="https://code.highcharts.com/highcharts-more.js"></script>
<div id="barGauge"></div>
jsfiddle
Hi Guys I'm having problem with this JavaScript Code With High charts. The bottom chart doesn't show the months, it shows seconds, nevermind the y axis because it is static. What I care about is the setOptions and the xAxis of each chart. I tried to use the setOptions function, calling it so that it may solve the problem but it didn't.
<div id="barChart">
</div>
<div id="barChartPerDay">
</div>
<script type="text/javascript">
$(function() {
chart1()
chart2()
})
function chart1() {
var doorData = 0;
var frameData = 0;
var screenData = 0;
var othersData = 0;
$(function() {
Highcharts.setOptions({
chart: {
type: 'column'
},
title: {
text: 'Units of Doors, Frames and Screens'
},
subtitle: {
text: 'Manufactured within September - 2018'
},
xAxis: {
categories: ['September - 2018'],
crosshair: true
},
yAxis: {
min: 0,
title: {
text: 'Units Per Month'
}
},
tooltip: {
headerFormat: '<span style="font-size:10px">{point.key}</span><table>',
pointFormat: '<tr><td style="color:{series.color};padding:0">{series.name}: </td>' + '<td style="padding:0"><b>{point.y:.0f}</b></td></tr>',
footerFormat: '</table>',
shared: true,
useHTML: true
},
plotOptions: {
column: {
pointPadding: 0.2,
borderWidth: 0
}
}
});
var chart1 = new Highcharts.Chart({
chart: {
renderTo: 'barchart',
},
series: [{
name: 'Door',
data: [doorData]
}, {
name: 'Frame',
data: [frameData]
}, {
name: 'Screen',
data: [screenData]
}, {
name: 'Others',
data: [othersData]
}]
});
});
}
function chart2() {
var doorDataPerDay = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0];
var frameDataPerDay = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0];
var screenDataPerDay = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0];
var othersDataPerDay = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0];
$(function() {
Highcharts.setOptions({
chart: {
type: 'column'
},
title: {
text: 'Units of Doors, Frames and Screens'
},
subtitle: {
text: 'Manufactured within September - 2018'
},
xAxis: {
type: 'datetime',
dateTimeLabelFormats: {
day: '%e of %b'
},
crosshair: true,
tickInterval: 24 * 3600 * 1000,
labels: {
rotation: -45,
align: 'right'
}
},
yAxis: {
min: 0,
title: {
text: 'Units Per Month'
}
},
tooltip: {
headerFormat: '<span style="font-size:10px">{point.key}</span><table>',
pointFormat: '<tr><td style="color:{series.color};padding:0">{series.name}: </td>' + '<td style="padding:0"><b>{point.y:.0f}</b></td></tr>',
footerFormat: '</table>',
shared: true,
useHTML: true
},
plotOptions: {
column: {
pointPadding: 0.2,
borderWidth: 0
}
}
});
var chart2 = new Highcharts.Chart({
chart: {
renderTo: 'barChartPerDay',
},
series: [{
name: 'Door',
data: doorDataPerDay,
pointStart: Date.UTC(2018, 8, 1),
pointEnd: Date.UTC(2018, 8, 31),
pointInterval: 24 * 3600 * 1000,
color: '#95d4f3'
}, {
name: 'Frame',
data: frameDataPerDay,
pointStart: Date.UTC(2018, 8, 1),
pointEnd: Date.UTC(2018, 8, 31),
pointInterval: 24 * 3600 * 1000,
color: '#c7f464'
}, {
name: 'Screen',
data: screenDataPerDay,
pointStart: Date.UTC(2018, 8, 1),
pointEnd: Date.UTC(2018, 8, 31),
pointInterval: 24 * 3600 * 1000,
color: '#ff6b6b'
}, {
name: 'Others',
data: othersDataPerDay,
pointStart: Date.UTC(2018, 8, 1),
pointEnd: Date.UTC(2018, 8, 31),
pointInterval: 24 * 600 * 1000,
color: '#008000'
}]
})
});
}
</script>
Any help would be appreciated.
"You should apply the options to the charts. Not with setOptions, as that applies options to all charts."
This one is answered already.