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The Chart.js plugin is super, excellent, beautiful and easily customizable.
But even all this did not help me solve a few problems.
I have to create pixel perfect chart according to design shown on picture 1
I hope for your help!!
How to make those lines that without signatures be longer than those with signatures
I did the indentation from the scales to the graphs using the tickMarkLength parameter, but maybe it’s possible somehow under another, because you can see the overlap of one scale on another.
How to make the grid lines of the left and right scales coincide?
I set beforeUpdate .stepSize, but in spite of the fact that I specify that there should be 8 intervals, sometimes 8, then 9.
There is a link to my current code:
function data_generation(values_obj) {
let max_val=-900;
let min_val=0;
Object.keys(values_obj).forEach(function(key) {
chart_object={};
chart_object.label= values_obj[key].name;
chart_object.data= Object.values(values_obj[key].data);
chart_object.backgroundColor= values_obj[key].color;
if(key == 'TempOutdoor') {
chart_object.yAxisID = 'right-y-axis';
chart_object.backgroundColor= "transparent";
chart_object.pointRadius= 4;
chart_object.lineTension= 0;
chart_object.pointBackgroundColor="#FFF";
chart_object.pointBorderColor= "#60AD5E";
chart_object.borderColor= "#60AD5E";
chart_object.pointBorderWidth= 2;
chart_object.type= 'line';
} else {
chart_object.yAxisID = 'left-y-axis';
chart_object.lineTension= 0;
}
config.data.datasets.push(chart_object);
//find common min and max values
//min
if(min_val>parseFloat(values_obj[key].min)) {
min_val = parseFloat(values_obj[key].min);
}
//max
if(max_val < parseFloat(values_obj[key].max)) {
max_val = parseFloat(values_obj[key].max);
}
});
}
var config = {
drawTicks:false,
type: 'bar',
data: {
datasets: [ ],
labels: ''
},
options: {
animation: {
duration: 0
},
'legend':false,
responsive:true,
maintainAspectRatio: false,
scales: {
xAxes: [{
stacked: true,
barThickness: ($(window).width()<991.99)?14:24,
ticks: {
fontSize: ($(window).width()<991.99)?10:14,
},
gridLines : {
display : false
}
}],
yAxes: [
{
beforeUpdate: function(scale) {
//1 find max and min through all leftlabels
var left_side_list = config.data.datasets.filter(obj => {return obj.yAxisID == "left-y-axis"});
var left_side_list_data = [].concat(...Object.keys(left_side_list).map(e => left_side_list[e].data));
let max_val = Math.max.apply(Math,left_side_list_data);
let min_val = Math.min.apply(Math,left_side_list_data);
// 8 intervals - 9 lines
let left_iterval = (max_val - min_val) / 8;
//set stepsize
scale.chart.options.scales.yAxes[0].ticks.stepSize = left_iterval;
return;
},
id: 'left-y-axis',
type: 'linear',
position: 'left',
ticks: {
beginAtZero: false,
fontSize: ($(window).width()<991.99)?10:14,
callback: function(value, index, values) {
if(index % 2 == 0 || index==0) {
return ' ';
} else {
return " "+value.toFixed(0)+" ";
}
}
},
gridLines: {
drawBorder: false,
tickMarkLength: ($(window).width()<991.99)?34:84,
}
},
{
beforeUpdate: function(scale) {
//var nMaxRev = Math.max.apply(Math,scale.chart.config.data.datasets[1].data);
//get right object data
var temp_list = config.data.datasets.filter(obj => {return obj.yAxisID == "right-y-axis"});
//var temp_list = scale.chart.config.data.datasets.filter(obj => {return obj.yAxisID == "right-y-axis"});
//console.log(temp_list);
if(temp_list[0].data !== undefined || temp_list[0].data != []) {
var nMaxRev = Math.max.apply(Math, temp_list[0].data);
var nMinRev = Math.min.apply(Math, temp_list[0].data);
var nLeftTickCount = 8;
if(nMinRev<0) {
nLeftTickCount = 7;
}
var nTickInterval = (nMaxRev - nMinRev) / nLeftTickCount;
scale.chart.options.scales.yAxes[1].ticks.stepSize = nTickInterval;
}
return;
},
id: 'right-y-axis',
type: 'linear',
position: 'right',
ticks: {
beginAtZero: false,
fontSize: ($(window).width()<991.99)?10:14,
callback: function(value, index, values) {
if(index % 2 == 0 || index==0) {
return '';
} else {
return " "+value.toFixed(0);
}
}
},
gridLines: {
drawBorder: false,
tickMarkLength: ($(window).width()<991.99)?34:84,
}
}
]
}
}
};
window.onload = function() {
var data_string='{"success":true,"axis":["Пн","Вт","Ср","Чт","Пт","Сб","Вс"],"data":{"TempOutdoor":{"period_start":"2021-05-10 00:00:00","period_end":"2021-05-16 23:59:59","data":{"Пн":-4.9787234042553195,"Вт":-2.9166666666666665,"Ср":-3.3125,"Чт":2.5208333333333335,"Пт":6.84375,"Сб":0,"Вс":0},"min":"-4.98","max":"6.84","avg":"-0.26","sum":"-1.84","name":"Температура на улице","color":"#60AD5E","value_type":"instant"},"MotoHW":{"period_start":"2021-05-10 00:00:00","period_end":"2021-05-16 23:59:59","data":{"Пн":11,"Вт":15,"Ср":13,"Чт":12,"Пт":9,"Сб":0,"Вс":0},"min":"0.00","max":"15.00","avg":"8.57","sum":"60.00","name":"Мотогодини: Гаряча вода","color":"#29819D","value_type":"counter"}},"closestPeriods":{"previous":{"2021-05-03 00:00:00":"03.05 - 09.05"},"current":{"2021-05-10 00:00:00":"10.05 - 16.05"},"next":null}}';
var data = JSON.parse(data_string);
config.data.labels = data.axis;
var values_obj = data.data;
data_generation(values_obj);
//console.log(JSON.stringify(config));
var ctx = document.getElementById('StatisticsChartCanvas').getContext('2d');
window.StatisticsChart = new Chart(ctx,config);
};
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.9.3/Chart.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
<div class="chart-wrapper" style="width:548px; height:265px;">
<canvas id="StatisticsChartCanvas"></canvas>
</div>
After a huge amount of ideas, attempts and errors, I found a solution for the full customization of the scale.
For this I
Disabled the display of gridlines and ticks using property
display:false,
Wrote a plugin that draw gridlines and ticks in accordance with the design.
That's what happened
var AikGridLinePlugin = {
beforeDraw: function(chartInstance) {
var yScaleLeft = chartInstance.scales["left-y-axis"];
var yScaleRight = chartInstance.scales["right-y-axis"];
var canvas = chartInstance.chart;
var ctx = canvas.ctx;
//left axis
var left_side_list = chartInstance.data.datasets.filter(obj => {return obj.yAxisID == "left-y-axis"});
var left_side_list_data = [].concat(...Object.keys(left_side_list).map(e => left_side_list[e].data));
let left_side_list_max = Math.max.apply(Math,left_side_list_data);
let left_side_list_min = Math.min.apply(Math,left_side_list_data);
let left_iterval = (left_side_list_max - left_side_list_min) / 8;
// right axis
var right_side_list = chartInstance.data.datasets.filter(obj => {return obj.yAxisID == "right-y-axis"});
var right_side_list_data = [].concat(...Object.keys(right_side_list).map(e => right_side_list[e].data));
let right_side_list_max = Math.max.apply(Math,right_side_list_data);
let right_side_list_min = Math.min.apply(Math,right_side_list_data);
let right_iterval = (right_side_list_max - right_side_list_min) / 8;
var current_value_left = left_side_list_min,
current_value_right = right_side_list_min,
current_value_right_text=0;
for(var i=1;i<10;i++) {
ctx.lineWidth = 1;
ctx.font = "13px Roboto";
ctx.fillStyle = "#666666";
ctx.beginPath();
if(i%2==0) {
ctx.moveTo(47, yScaleLeft.getPixelForValue(current_value_left));
ctx.lineTo((canvas.width-47), yScaleLeft.getPixelForValue(current_value_left));
ctx.fillText((current_value_left>1)?current_value_left.toFixed(0):current_value_left.toFixed(1), 5, yScaleLeft.getPixelForValue(current_value_left)+5);
current_value_right_text=(current_value_right>1 || current_value_right<-1)?current_value_right.toFixed(0):current_value_right.toFixed(1);
ctx.fillText(current_value_right_text, (canvas.width-5-ctx.measureText(current_value_right_text).width), yScaleLeft.getPixelForValue(current_value_left)+5);
} else {
ctx.moveTo(15, yScaleLeft.getPixelForValue(current_value_left));
ctx.lineTo((canvas.width-15), yScaleLeft.getPixelForValue(current_value_left));
}
ctx.strokeStyle = "#91979F";
ctx.stroke();
current_value_left = current_value_left+left_iterval;
current_value_right = current_value_right+right_iterval;
}
return;
}
};
Chart.pluginService.register(AikGridLinePlugin);
function data_generation(values_obj) {
let max_val=-900;
let min_val=0;
Object.keys(values_obj).forEach(function(key) {
chart_object={};
chart_object.label= values_obj[key].name;
chart_object.data= Object.values(values_obj[key].data);
chart_object.backgroundColor= values_obj[key].color;
if(key == 'TempOutdoor') {
chart_object.yAxisID = 'right-y-axis';
chart_object.backgroundColor= "transparent";
chart_object.pointRadius= 4;
chart_object.lineTension= 0;
chart_object.pointBackgroundColor="#FFF";
chart_object.pointBorderColor= "#60AD5E";
chart_object.borderColor= "#60AD5E";
chart_object.pointBorderWidth= 2;
chart_object.type= 'line';
} else {
chart_object.yAxisID = 'left-y-axis';
chart_object.lineTension= 0;
}
config.data.datasets.push(chart_object);
//find common min and max values
//min
if(min_val>parseFloat(values_obj[key].min)) {
min_val = parseFloat(values_obj[key].min);
}
//max
if(max_val < parseFloat(values_obj[key].max)) {
max_val = parseFloat(values_obj[key].max);
}
});
}
var config = {
drawTicks:false,
type: 'bar',
data: {
datasets: [ ],
labels: ''
},
options: {
animation: {
duration: 0
},
'legend':false,
responsive:true,
maintainAspectRatio: false,
scales: {
xAxes: [{
id: 'x-axis',
stacked: true,
barThickness: ($(window).width()<991.99)?14:24,
ticks: {
fontSize: ($(window).width()<991.99)?10:14,
},
gridLines : {
display : false
}
}],
yAxes: [
{
id: 'left-y-axis',
type: 'linear',
position: 'left',
ticks: {
display:false,
},
gridLines: {
display : false,
drawBorder: false,
tickMarkLength: ($(window).width()<991.99)?34:84,
}
},
{
id: 'right-y-axis',
type: 'linear',
position: 'right',
ticks: {
display : false,
beginAtZero: false,
fontSize: ($(window).width()<991.99)?10:14,
},
gridLines: {
display : false,
drawBorder: false,
tickMarkLength: ($(window).width()<991.99)?34:84,
}
}
]
}
}
};
window.onload = function() {
var data_string='{"success":true,"axis":["Пн","Вт","Ср","Чт","Пт","Сб","Вс"],"data":{"TempOutdoor":{"period_start":"2021-05-10 00:00:00","period_end":"2021-05-16 23:59:59","data":{"Пн":-4.9787234042553195,"Вт":-2.9166666666666665,"Ср":-3.3125,"Чт":2.5208333333333335,"Пт":6.84375,"Сб":0,"Вс":0},"min":"-4.98","max":"6.84","avg":"-0.26","sum":"-1.84","name":"Температура на улице","color":"#60AD5E","value_type":"instant"},"MotoHW":{"period_start":"2021-05-10 00:00:00","period_end":"2021-05-16 23:59:59","data":{"Пн":11,"Вт":15,"Ср":13,"Чт":12,"Пт":9,"Сб":0,"Вс":0},"min":"0.00","max":"15.00","avg":"8.57","sum":"60.00","name":"Мотогодини: Гаряча вода","color":"#29819D","value_type":"counter"}},"closestPeriods":{"previous":{"2021-05-03 00:00:00":"03.05 - 09.05"},"current":{"2021-05-10 00:00:00":"10.05 - 16.05"},"next":null}}';
var data = JSON.parse(data_string);
config.data.labels = data.axis;
var values_obj = data.data;
data_generation(values_obj);
//console.log(JSON.stringify(config));
var ctx = document.getElementById('StatisticsChartCanvas').getContext('2d');
window.StatisticsChart = new Chart(ctx,config);
};
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.9.3/Chart.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
<div class="chart-wrapper" style="width:548px; height:265px;">
<canvas id="StatisticsChartCanvas"></canvas>
</div>
I have web monitoring data and I want to graph with chart js library in javascript.
Multiple data are at the same moment. However, 'tooltip' displays only one piece of data. Why is this?
Please help me :(
I (A) Login-swlee.zabbix.dev selected and time is 06/25 02:23:21
I (B) First page-swlee.zabbix.dev selected and time is 06/25 02:23:21
I (A) and (B) both selected but tooltip is only one.
```
var colors = ["#FEB500", "#5F8CFC", "#ADC803", "#F0605D"]
var list = data.list;
var list2 = data.list2;
var list3 = data.list3;
var datasets = [];
var labels = [];
for (i = 0; i < list3.length; i++) {
var date = new Date(list3[i].clock * 1000).getTime();
if (labels.indexOf(date) < 0) {
labels.push(date);
}
}
labels.sort();
var tbody = document.getElementById('webTable').children[1];
for (var i = 0; i < list.length; i++) {
var item = list[i];
var td_name = [];
for (var j = 0; j < list2.length; j++) {
var item2 = list2[j];
if (item.hosts[0].hostid == item2.hostid && item2.key_.indexOf('web.test.rspcode') > -1) {
var label = item2.name.replace('$1', item2.key_.substring(17, item2.key_.length - 1).split(',')[0]).replace('$2', item2.key_.substring(17, item2.key_.length - 1).split(',')[1]);
//line chart
var dataset = {
data: [],
label: label,
fill: false,
spanGaps: true,
borderColor: colors[i]
};
for (var k = 0; k < list3.length; k++) {
var item3 = list3[k];
if (item2.itemid == item3.itemid) {
var date = new Date(list3[k].clock * 1000).getTime();
dataset.data.push(null);
if (labels.indexOf(date) > -1) {
dataset.data[labels.indexOf(date)] = item3.value;
}
}
}
datasets.push(dataset);
}
}
}
var ctx = document.getElementById("webChart").getContext("2d");
var gData = {
labels: labels,
datasets: datasets
}
var lineChart = new Chart(ctx, {
type: 'line',
data: gData,
options: {
responsive: true,
scales: {
yAxes: [{
ticks: {
stepSize: 200,
suggestedMin: 0,
suggestedMax: 600
}
}],
xAxes: [{
type: 'time',
time: {
unit: 'minute',
round: 'minute',
displayFormats: {
minute: 'h:mm'
}
},
gridLines: {
display: false
}
}]
},
elements: {
line: {
tension: 0,
}
},
animation: false,
hover: {
animationDuration: 0,
},
responsiveAnimationDuration: 0,
legend: {
display: true,
labels: {
fontColor: '#fff'
}
},
tooltips: {
callbacks: {
title: function(tooltipItems, data) {
return new Date(tooltipItems[0].xLabel).format('MM/dd hh:mm:ss');
}
}
}
}
});
You need to set tooltip's mode to index
...
tooltips: {
mode: 'index', //<-- set this
callbacks: {
title: function(tooltipItems, data) {
return new Date(tooltipItems[0].xLabel).format('MM/dd hh:mm:ss');
}
}
}
...
I have a bit of a strange config of my chart.js because of the data that is being fed into it and also the line colours. However I was wondering if somebody could point me in the direction of how to customise the legend:
$(document).ready(function(){
$.ajax({
url : "../acredash/teamData.php",
timeout: 4000,
type : "GET",
success :function(data){
console.log(data);
var chartata = {
labels: [
"Strategic Development and Ownership",
"Driving change through others",
"Exec Disposition",
"Commercial Acumen",
"Develops High Performance Teams",
"Innovation and risk taking",
"Global Leadership",
"Industry Leader"
]};
var ctx = $("#mycanvas");
var config = {
type: 'radar',
data: chartata,
animationEasing: 'linear',
options: {
legend: {
display: true,
position: 'bottom'
},
tooltips: {
enabled: true
},
scale: {
ticks: {
fontSize: 15,
beginAtZero: true,
stepSize: 1
}
}
},
},
LineGraph = new Chart(ctx, config);
var colorArray = [
["#7149a5", false],
["#57B6DD", false],
["#36bfbf", false],
["#69bd45", false],
['#9adfdf', false],
['#c6b6db' ,false],
["#5481B1", false],
['#8d6db7', false],
['#d2ebc7', false],
["#6168AC", false]
];
for (var i in data) {
tmpscore=[];
tmpscore.push(data[i].score_1);
tmpscore.push(data[i].score_2);
tmpscore.push(data[i].score_3);
tmpscore.push(data[i].score_4);
tmpscore.push(data[i].score_5);
tmpscore.push(data[i].score_6);
tmpscore.push(data[i].score_7);
tmpscore.push(data[i].score_8);
var color, done = false;
while (!done) {
var test = colorArray[parseInt(Math.random() * 10)];
if (!test[1]) {
color = test[0];
colorArray[colorArray.indexOf(test)][1] = true;
done = !done;
}
}
newDataset = {
label: data[i].firstName+' '+data[i].lastName,
borderColor: color,
backgroundColor: "rgba(0,0,0,0)",
data: tmpscore,
};
config.data.datasets.push(newDataset);
}
LineGraph.update();
},
});
});
I have looked around without much luck because of how my chart is being generated. It just used the default legend and its a it messy. I would like to just have control over it.
Step 1:
set callback for legend on options
legendCallback: function(chart) {
var legendHtml = [];
legendHtml.push('<ul>');
var item = chart.data.datasets[0];
for (var i=0; i < item.data.length; i++) {
legendHtml.push('<li>');
legendHtml.push('<span></span>');//add what ever you want :-p
legendHtml.push('<span class="chart-legend-label-text">' + chart.data.labels[i]+'</span>');
legendHtml.push('</li>');
}
legendHtml.push('</ul>');
return legendHtml.join("");
},legend:false,
Step 2:
Place your legend where ever you want :-p
<div id="my-legend-con" class="legend-con"></div>
Step 3:
Initialise the legend.
$('#my-legend-con').html(myChartName.generateLegend());
Step 3:
Do what ever you want...
I am looking for a way to fill between two lines with Chart.js so that it would look like this. I have looked and everything seems to talk about filling between two lines across zero. I also need other lines to fill all the way down like normal. Is this something chart.js can do?
Here is a solution that uses a plugin to fill between two datasets. Supports all line styles and fill shading between multiple lines. To fill between a dataset, use the custom param fillBetweenSet to tell a dataset to fill the area between another dataset.
Fiddle - https://jsfiddle.net/ke5n5LnL/26/
Preview:
Code:
<html>
<div>
<canvas id="demo"></canvas>
</div>
</html>
<script>
var fillBetweenLinesPlugin = {
afterDatasetsDraw: function (chart) {
var ctx = chart.chart.ctx;
var xaxis = chart.scales['x-axis-0'];
var yaxis = chart.scales['y-axis-0'];
var datasets = chart.data.datasets;
ctx.save();
for (var d = 0; d < datasets.length; d++) {
var dataset = datasets[d];
if (dataset.fillBetweenSet == undefined) {
continue;
}
// get meta for both data sets
var meta1 = chart.getDatasetMeta(d);
var meta2 = chart.getDatasetMeta(dataset.fillBetweenSet);
// do not draw fill if one of the datasets is hidden
if (meta1.hidden || meta2.hidden) continue;
// create fill areas in pairs
for (var p = 0; p < meta1.data.length-1;p++) {
// if null skip
if (dataset.data[p] == null || dataset.data[p+1] == null) continue;
ctx.beginPath();
// trace line 1
var curr = meta1.data[p];
var next = meta1.data[p+1];
ctx.moveTo(curr._view.x, curr._view.y);
ctx.lineTo(curr._view.x, curr._view.y);
if (curr._view.steppedLine === true) {
ctx.lineTo(next._view.x, curr._view.y);
ctx.lineTo(next._view.x, next._view.y);
}
else if (next._view.tension === 0) {
ctx.lineTo(next._view.x, next._view.y);
}
else {
ctx.bezierCurveTo(
curr._view.controlPointNextX,
curr._view.controlPointNextY,
next._view.controlPointPreviousX,
next._view.controlPointPreviousY,
next._view.x,
next._view.y
);
}
// connect dataset1 to dataset2
var curr = meta2.data[p+1];
var next = meta2.data[p];
ctx.lineTo(curr._view.x, curr._view.y);
// trace BACKWORDS set2 to complete the box
if (curr._view.steppedLine === true) {
ctx.lineTo(curr._view.x, next._view.y);
ctx.lineTo(next._view.x, next._view.y);
}
else if (next._view.tension === 0) {
ctx.lineTo(next._view.x, next._view.y);
}
else {
// reverse bezier
ctx.bezierCurveTo(
curr._view.controlPointPreviousX,
curr._view.controlPointPreviousY,
next._view.controlPointNextX,
next._view.controlPointNextY,
next._view.x,
next._view.y
);
}
// close the loop and fill with shading
ctx.closePath();
ctx.fillStyle = dataset.fillBetweenColor || "rgba(0,0,0,0.1)";
ctx.fill();
} // end for p loop
}
} // end afterDatasetsDraw
}; // end fillBetweenLinesPlugin
Chart.pluginService.register(fillBetweenLinesPlugin);
var chartData = {
labels: [1, 2, 3, 4, 5,6,7,8],
datasets: [
{
label: "Set 1",
data: [10, 20, null, 40, 30,null,20,40],
borderColor: "#F00",
fill: false,
steppedLine: false,
tension: 0,
fillBetweenSet: 1,
fillBetweenColor: "rgba(255,0,0, 0.2)"
},
{
label: "Set 2",
data: [60, 40, 10, 50, 60,null,50,20],
borderColor: "#00F",
fill: false,
steppedLine: false,
tension: 0.5
},
{
label: "Set 2",
data: [40, 50, 30, 30, 20,null,60,40],
borderColor: "#0D0",
fill: false,
steppedLine: false,
tension: 0,
fillBetweenSet: 1,
fillBetweenColor: "rgba(5,5,255, 0.2)"
}
]
};
var chartOptions = {
responsive: true,
title: {
display: true,
text: 'Demo Fill between lines'
}
};
var chartDemo = new Chart($('#demo').get(0), {
type: 'line',
data: chartData,
options: chartOptions
});
</script>
Setting fill property to +1 of a dataset will set the backgroundColor from this line to the next line in dataset.
datasets: [{
label: 'Systolic Guideline',
data: [],
fill: '+1',
borderColor: '#FFC108',
backgroundColor: 'rgba(255,193,8,0.2)'
},
{
label: 'Diastolic Guideline',
data: [],
fill: true,
borderColor: '#FFC108',
backgroundColor: 'rgba(0,0,0,0)'
}]
On chart.js v2.0 you have this feature now inside. See https://www.chartjs.org/samples/latest/charts/area/line-datasets.html
Using ChartJs (v2.2.2) can you change the line style between the last 2 points on a graph. e.g. have a solid line all the way and then dashed at the end? see picture below
The borderDashproperty (scroll to Line Configuration) is the key to your problem.
The thing is, the full chart is drawn with a border dash, you cannot choose where it starts and where it ends.
A simple workaround is to create two identical datasets. One dotted and one with a plain line. Then you remvoe the last data of your plain one, and they both will be displayed as how you want it.
You can see the full code in this jsFiddle, and here is its result :
Note :
Since there are two datasets now, the legend will display both of them. Setting the display to false fixes it (more or less).
The declaration order doesn't matter since the plain line will always overwrite the dotted one.
Having a bezier curve (tension property > 0) can create a display problem since the data is not the same in both datasets.
You can create a scatter chart and draw the lines directly on the canvas using the Plugin Core API. The API offers a range of hooks that can be used for performing custom code. The advantage of this approach is that you can customize the style of every single connection line (width, color, dash pattern etc.).
const labels = [1, 2, 3, 4, 5, 6];
const values = [12, 19, 3, 5, 2, 3];
const data = labels.map((label, index) => ({ x: label, y: values[index]}));
var lineChart = new Chart(document.getElementById("chart"), {
type: "scatter",
plugins: [{
afterDraw: chart => {
var ctx = chart.chart.ctx;
var xAxis = chart.scales['x-axis-1'];
var yAxis = chart.scales['y-axis-1'];
chart.config.data.datasets[0].data.forEach((value, index) => {
if (index > 0) {
var valueFrom = data[index - 1];
var xFrom = xAxis.getPixelForValue(valueFrom.x);
var yFrom = yAxis.getPixelForValue(valueFrom.y);
var xTo = xAxis.getPixelForValue(value.x);
var yTo = yAxis.getPixelForValue(value.y);
ctx.save();
ctx.strokeStyle = '#922893';
ctx.lineWidth = 2;
if (index + 1 == data.length) {
ctx.setLineDash([5, 10]);
}
ctx.beginPath();
ctx.moveTo(xFrom, yFrom);
ctx.lineTo(xTo, yTo);
ctx.stroke();
ctx.restore();
}
});
}
}],
data: {
datasets: [{
label: "My Dataset",
data: data,
borderColor: '#922893',
pointBackgroundColor: "transparent"
}]
},
options: {
legend: {
display: false
},
scales: {
xAxes: [{
ticks: {
stepSize: 1
}
}],
yAxes: [{
ticks: {
beginAtZero: true
}
}]
}
}
});
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.9.3/Chart.min.js"></script>
<canvas id="chart" height="90"></canvas>
const labels = [1, 2, 3, 4, 5, 6];
const values = [12, 19, 3, 5, 2, 3];
const data = labels.map((label, index) => ({ x: label, y: values[index]}));
var lineChart = new Chart(document.getElementById("chart"), {
type: "scatter",
plugins: [{
afterDraw: chart => {
var ctx = chart.chart.ctx;
var xAxis = chart.scales['x-axis-1'];
var yAxis = chart.scales['y-axis-1'];
chart.config.data.datasets[0].data.forEach((value, index) => {
if (index > 0) {
var valueFrom = data[index - 1];
var xFrom = xAxis.getPixelForValue(valueFrom.x);
var yFrom = yAxis.getPixelForValue(valueFrom.y);
var xTo = xAxis.getPixelForValue(value.x);
var yTo = yAxis.getPixelForValue(value.y);
ctx.save();
ctx.strokeStyle = '#922893';
ctx.lineWidth = 2;
if (index + 1 == data.length) {
ctx.setLineDash([5, 10]);
}
ctx.beginPath();
ctx.moveTo(xFrom, yFrom);
ctx.lineTo(xTo, yTo);
ctx.stroke();
ctx.restore();
}
});
}
}],
data: {
datasets: [{
label: "My Dataset",
data: data,
borderColor: '#922893',
pointBackgroundColor: "transparent"
}]
},
options: {
legend: {
display: false
},
scales: {
xAxes: [{
ticks: {
stepSize: 1
}
}],
yAxes: [{
ticks: {
beginAtZero: true
}
}]
}
}
});
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.9.3/Chart.min.js"></script>
<canvas id="chart" height="90"></canvas>