Chart.js customization, two Y-Axis overlay, chart area padding, odd tick padding - chart.js

Question

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>

Answer 1

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>