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I have the array of dates and I want to group dates by year, month, week, day, 6h, 8h and 1h and sum value. for example, I have the following array:
const data = [
{ x: "2021-10-17T14:38:45.540Z", y: 2 },
{ x: "2021-09-16T14:36:46.540Z", y: 1 },
{ x: "2021-01-04T14:35:46.540Z", y: 2 },
{ x: "2021-01-01T14:30:46.540Z", y: 1 },
{ x: "2020-02-01T06:28:47.520Z", y: 12 },
{ x: "2020-02-01T07:28:47.520Z", y: 12 },
// ...
{ x: "2019-04-13T10:19:20.034Z", y: 20 },
// ...
{ x: "2018-01-01T09:09:19.134Z", y: 4 },
{ x: "2017-01-01T12:09:19.034Z", y: 11 },
{ x: "2016-01-02T12:10:20.034Z", y: 24 },
// ...
]
This is what I tried using momentjs and lodash Group array of object by date
for year I got this result and the problem some years like 2018 and 2016 is not displayed:
[
{
"color": "Blue",
"value": 6,
"label": "2021"
},
{
"color": "Blue",
"value": 24,
"label": "2020"
},
{
"color": "Blue",
"value": 1212,
"label": "2019"
},
{
"color": "Blue",
"value": 11,
"label": "2017"
}
]
Expected output for year:
[
{
"color": "Blue",
"value": 6,
"label": "2021"
},
{
"color": "Blue",
"value": 24,
"label": "2020"
},
{
"color": "Blue",
"value": 1212,
"label": "2019"
},
{
"color": "Blue",
"value": 10,
"label": "2018"
},
{
"color": "Blue",
"value": 11,
"label": "2017"
},
{
"color": "Blue",
"value": 48,
"label": "2016"
}
]
This can be achieved with a standard 'group-by' using reduce, here accumulating into an object and returning an array using Object.values().
I've declared a simple get_date_parts helper to parse the ISO date strings which should be ample for grouping, but you can use a Date object for more complicated label formats if need be.
Here is the year grouping, the pattern can be adapted to all your other groupings, though you'll need to do a little arithmetic to determine hour ranges.
const data = [{ x: '2021-10-17T14:38:45.540Z', y: 2 }, { x: '2021-09-16T14:36:46.540Z', y: 1 }, { x: '2021-01-04T14:35:46.540Z', y: 2 }, { x: '2021-01-01T14:30:46.540Z', y: 1 }, { x: '2020-02-01T06:28:47.520Z', y: 12 }, { x: '2020-02-01T07:28:47.520Z', y: 12 }, { x: '2019-04-13T10:19:20.034Z', y: 20 }, { x: '2018-01-01T09:09:19.134Z', y: 4 }, { x: '2017-01-01T12:09:19.034Z', y: 11 }, { x: '2016-01-02T12:10:20.034Z', y: 24 },];
function get_date_parts(iso_string) {
const [year, month, day, hr, min, sec] = iso_string.split(/\D/g);
return { year, month, day, hr, min, sec };
}
function group_by_year(arr) {
return Object.values(
arr.reduce((a, { x: date_string, y: value }) => {
const { year } = get_date_parts(date_string);
(a[year] ??= { color: 'Blue?', value: 0, label: year }).value += value;
return a;
}, {}),
);
}
const grouped_by_year = group_by_year(data).sort((a, b) => +b.label - +a.label);
console.log(grouped_by_year);
or by month, also showing an alternative to logical nullish assignment (??=) for initial assignment to a[key].
const data = [{ x: '2021-10-17T14:38:45.540Z', y: 2 }, { x: '2021-09-16T14:36:46.540Z', y: 1 }, { x: '2021-01-04T14:35:46.540Z', y: 2 }, { x: '2021-01-01T14:30:46.540Z', y: 1 }, { x: '2020-02-01T06:28:47.520Z', y: 12 }, { x: '2020-02-01T07:28:47.520Z', y: 12 }, { x: '2019-04-13T10:19:20.034Z', y: 20 }, { x: '2018-01-01T09:09:19.134Z', y: 4 }, { x: '2017-01-01T12:09:19.034Z', y: 11 }, { x: '2016-01-02T12:10:20.034Z', y: 24 },];
function get_date_parts(iso_string) {
const [year, month, day, hr, min, sec] = iso_string.split(/\D/g);
return { year, month, day, hr, min, sec };
}
function group_by_month(arr) {
return Object.values(
arr.reduce((a, { x: date_string, y: value }) => {
const { year, month } = get_date_parts(date_string);
const key = `${year}/${month}`;
// using logical nullish assignment
//(a[key] ??= { color: 'Blue?', value: 0, label: key }).value += value;
// or written out long hand
if (a[key] === undefined) {
a[key] = { color: 'Blue?', value: 0, label: key };
}
a[key].value += value;
return a;
}, {}),
);
}
const grouped_by_month = group_by_month(data).sort((a, b) => b.label.localeCompare(a.label));
console.log(grouped_by_month);
For the groupings that are not directly represented in the date you can use some simple arithmetic.
function get_date_parts(iso_string) {
const [year, month, day, hr, min, sec] = iso_string.split(/\D/g);
return { year, month, day, hr, min, sec };
}
const date_string = '2020-02-07T07:28:47.520Z';
const { year, month, day, hr } = get_date_parts(date_string);
// week in the month
const week = Math.floor((parseInt(day, 10) - 1) / 7);
const week_label = `${year}/${month} - week ${week + 1}`;
console.log({ week_label, week });
// hour range
const range_size = 8;
const range = Math.floor(parseInt(hr, 10) / range_size);
// range times
const range_start = `${(range * range_size).toString().padStart(2, '0')}:00`;
const range_end = `${(range * range_size + range_size).toString().padStart(2, '0')}:00`;
const range_label = `${day}/${month}/${year} ${range_start}-${range_end}`;
console.log({ range_label, range });
There are multiple charts on one page.
Each chart line is common.
I want to display a legend that is common to multiple charts like the figure.It shows and hides all chart lines with OnClick like the default legend.
THIS PICT IS FAKE
Is that possible? how?
I had tried Chart.js sync legend toggle on multiple charts, One legend, multiple charts Chart JS and etc.
But, those solutions have one chart with legend, and that legend affects other charts.
Should I hide the chart and show only the legend?
Should I draw a chart with no data?
I would be grad if you could tell me
HTML
<script src="https://rawgit.com/nnnick/Chart.js/v1.0.2/Chart.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.0.0-beta/Chart.js"></script>
<div>
<canvas id="myChartA"></canvas>
</div>
<div>
<canvas id="myChartB"></canvas>
</div>
JS
var ctxA = document.getElementById("myChartA").getContext("2d");
var ctxB = document.getElementById("myChartB").getContext("2d");
let data_A1 = [{
x: "2019-01-01 00:01:38",
y: "13.0"
},
{
x: "2019-01-01 01:01:39",
y: "11.0"
},
{
x: "2019-01-01 02:01:40",
y: "16.0"
},
{
x: "2019-01-01 03:01:41",
y: "15.0"
},
{
x: "2019-01-01 04:01:42",
y: "14.0"
}
];
var data_A2 = [{
x: "2019-01-01 00:01:42",
y: 14.671
}, {
x: "2019-01-01 01:01:42",
y: 13.691
}, {
x: "2019-01-01 02:01:42",
y: 16.691
}, {
x: "2019-01-01 03:01:42",
y: 17.691
}, {
x: "2019-01-01 04:01:42",
y: 18.691
}];
let data_B1 = [{
x: "2019-01-02 00:01:38",
y: "12.0"
},
{
x: "2019-01-02 01:01:39",
y: "11.0"
},
{
x: "2019-01-02 02:01:40",
y: "13.0"
},
{
x: "2019-01-02 03:01:41",
y: "14.0"
},
{
x: "2019-01-02 04:01:42",
y: "16.0"
}
];
var data_B2 = [{
x: "2019-01-02 00:00:00",
y: 14.671
}, {
x: "2019-01-02 01:01:42",
y: 13.691
}, {
x: "2019-01-02 02:01:42",
y: 16.691
}, {
x: "2019-01-02 03:01:42",
y: 15.691
}, {
x: "2019-01-02 04:01:42",
y: 14.691
}];
var myChartA = new Chart(ctxA, {
type: 'line',
data: {
datasets: [{
label: '1st Data',
data: data_A1,
borderColor: '#0f0',
showLine: true
}, {
label: '2nd Data',
data: data_A2,
borderColor: '#f00',
showLine: true
}]
},
options: {
scales: {
xAxes: [{
type: 'time',
time: {
displayFormat: 'h:mm',
}
}]
}
}
});
var myChartB = new Chart(ctxB, {
type: 'line',
data: {
datasets: [{
label: '1st Data',
data: data_B1,
borderColor: '#0f0',
showLine: true
}, {
label: '2nd Data',
data: data_B2,
borderColor: '#f00',
showLine: true
}]
},
options: {
scales: {
xAxes: [{
type: 'time',
time: {
displayFormat: 'h:mm',
}
}]
}
}
});
You can create a common legend and through generateLegend api, if both the datasets are similar.
First disable the default legends though the options
legend: {
display: false
}
Then use generateLegend() api to get the data labels and set it to a common element.
<ul class="legend">
</ul>
Then add event listeners to the generated elements and target all the charts
document.querySelector('.legend').innerHTML = myChartA.generateLegend();
var legendItems = document.querySelector('.legend').getElementsByTagName('li');
for (var i = 0; i < legendItems.length; i++) {
legendItems[i].addEventListener("click", legendClickCallback.bind(this,i), false);
}
function legendClickCallback(legendItemIndex){
document.querySelectorAll('.myChart').forEach((chartItem,index)=>{
var chart = Chart.instances[index];
var dataItem = chart.data.datasets[legendItemIndex]
if(dataItem.hidden == true || dataItem.hidden == null){
dataItem.hidden = false;
} else {
dataItem.hidden = true;
}
chart.update();
})
}
A sample pen is present here
https://codepen.io/srajagop/pen/yLBJOOo
Note I am using chartjs 2.8
If anyone using React version of Chartjs particularly react-chartjs-2, I have done it using React Hooks with react-chartjs-2, see the sandbox demo
I would like to create a function that I can send data to push to my line chart. My function currently looks like this:
function addData(label, xp1, yp1, xp2, yp2) {
chart.data.labels.push(label);
chart.data.datasets.data.push({x: xp1, y: yp1}, {x: xp2, y: yp2});
chart.update();
}
label is a string
xp1, xp2, yp1, yp2 are doubles
I am running a loop that will execute this function. Nothing happens and my chart remains blank.
I have looked at the Chart.js docs and it doesn't seem to be helpful for my situation and it appears they have errors in their example code
This is my starting code:
var ctx = document.getElementById('chart').getContext('2d');
var chart = new Chart(ctx, {
type: 'line',
data: {
labels: [''],
datasets: [{}]
},
options: {}
});
This is what I expect it to look like once it's filled in:
var ctx = document.getElementById('chart').getContext('2d');
var chart = new Chart(ctx, {
type: 'line',
data: {
labels: ['a', 'b', 'c'],
datasets: [{
label: 'a',
fill: false,
data: [
{
x: 0,
y: 9
}, {
x: 3,
y: 9
}
]
},
{
label: 'a',
fill: false,
data: [
{
x: 3,
y: 7
}, {
x: 5,
y: 7
}
]
},
{
label: 'c',
fill: false,
data: [
{
x: 5,
y: 5
}, {
x: 10,
y: 5
}
]
}]
},
options: {}
});
You need to change your function this way:
function addData(label, xp1, yp1, xp2, yp2) {
chart.data.labels.push(label);
chart.data.datasets.push([{ label: label, fill: false, data: [ {x: xp1, y: yp1}, {x: xp2, y: yp2} ] }]);
chart.update();
};
You can directly access your data and update contents with:
chart.data.datasets[0].data.push( {x:5, y:2} ,{x:10, y:12},...,{x:50, y:25} );
which is easier if your want to maintain the series paint/color settings.
So I'm using the Rickshaw graphing library and I was wondering how to dynamically add points to a graph.
I have a graph instantiated like this:
#seriesData = [ [], [], [] ]
random = new Rickshaw.Fixtures.RandomData(150)
for (var i = 0; i < 50; i++) {
random.addData(self.seriesData)
}
#graph = new Rickshaw.Graph(
element: document.getElementById("chart")
width: 550
height: 300
renderer: 'area'
series: [
{
color: "#c05020"
data: self.seriesData[0]
name: 'One'
}, {
color: "#30c020"
data: self.seriesData[1]
name: 'Two'
}, {
color: "#2791d7"
data: self.seriesData[2]
name: 'Three'
}
]
)
#graph.render()
hoverDetail = new Rickshaw.Graph.HoverDetail(
graph: self.graph
)
legend = new Rickshaw.Graph.Legend(
graph: self.graph
element: document.getElementById('legend')
)
shelving = new Rickshaw.Graph.Behavior.Series.Toggle(
graph: self.graph
legend: legend
)
axes = new Rickshaw.Graph.Axis.Time(
graph: self.graph
)
axes.render()
And I have data coming in through socket.io like this:
app.on('data',
(one, two, three) =>
// Dynamically add data points to graph
)
And I was wondering how to append these three points to the graph. I can't find any good documentation for this library. I know it's built on top of d3.js, but I'm not sure how to incorporate these methods into my graph.
Any help would be appreciated.
I envision two scenario that could solve your question:
Using the fixed Window Series for Streaming Data
leveraging the fact that arrays in javascript are passed by reference. A demo is available here
.
var data = [
{
data: [ { x: 0, y: 120 }, { x: 1, y: 890 }, { x: 2, y: 38 }, { x: 3, y: 70 }, { x: 4, y: 32 } ],
color: "#c05020"
}, {
data: [ { x: 0, y: 80 }, { x: 1, y: 200 }, { x: 2, y: 100 }, { x: 3, y: 520 }, { x: 4, y: 133 } ],
color: "#30c020"
}
];
var graph = new Rickshaw.Graph( {
element: document.getElementById("chart"),
renderer: 'line',
height: 300,
width: 800,
series: data
} );
var y_ticks = new Rickshaw.Graph.Axis.Y( {
graph: graph,
orientation: 'left',
tickFormat: Rickshaw.Fixtures.Number.formatKMBT,
element: document.getElementById('y_axis'),
} );
graph.render();
$('button#add').click(function() {
data.push({
data: [ { x: 0, y: 200 }, { x: 1, y: 390 }, { x: 2, y: 1000 }, { x: 3, y: 200 }, { x: 4, y: 230 } ],
color: "#6060c0"
});
graph.update();
});
I am charting different data with RickshawJS. But I need a way to update the chart when a user clicks the #search button. Right now it just creates a new chart below the old one, and that is pretty messy.
The user enters the page and enters some details and clicks the button to chart it. So ideally I'd like to start with an empty chart that isn't shown, but I can't really figure out how to remove the data from the chart and axes and then update it.
I could call $('#chart svg').remove(); on the chart and axes but it seems messy.
$('#search').click(function(event){
event.preventDefault();
var data = utils.malletData();
var graph = new Rickshaw.Graph( {
element: document.querySelector("#chart"),
width: 800,
height: 250,
series: [ {
name: data['name'],
color: 'steelblue',
data: data['series']
} ]
} );
graph.render();
var hoverDetail = new Rickshaw.Graph.HoverDetail( {
graph: graph,
xFormatter: function(x) {
var date = new Date(x).getTime();
return moment(x).format('MMMM Do YYYY, h:mm:ss a');
},
yFormatter: function(y) { return Math.floor(y) + " users" }
} );
var xAxis = new Rickshaw.Graph.Axis.X( {
graph: graph,
orientation: 'bottom',
element: document.getElementById('x_axis'),
tickFormat: function(x) { return moment(x).fromNow(); },
ticks: 7,
tickSize: 1,
} );
xAxis.render();
var ticksTreatment = 'glow';
var yAxis = new Rickshaw.Graph.Axis.Y( {
graph: graph,
orientation: 'left',
tickFormat: Rickshaw.Fixtures.Number.formatKMBT,
ticksTreatment: ticksTreatment,
element: document.getElementById('y_axis'),
} );
yAxis.render();
});
There's no official way to do so. However, you could leverage the fact that arrays in javascript are passed by reference and then update the graph.
Have a look at this demo on fiddle
var data = [
{
data: [ { x: 0, y: 120 }, { x: 1, y: 890 }, { x: 2, y: 38 }, { x: 3, y: 70 }, { x: 4, y: 32 } ],
color: "#c05020"
}, {
data: [ { x: 0, y: 80 }, { x: 1, y: 200 }, { x: 2, y: 100 }, { x: 3, y: 520 }, { x: 4, y: 133 } ],
color: "#30c020"
}
];
var graph = new Rickshaw.Graph( {
element: document.getElementById("chart"),
renderer: 'line',
height: 300,
width: 800,
series: data
} );
var y_ticks = new Rickshaw.Graph.Axis.Y( {
graph: graph,
orientation: 'left',
tickFormat: Rickshaw.Fixtures.Number.formatKMBT,
element: document.getElementById('y_axis'),
} );
graph.render();
$('button#add').click(function() {
data.push({
data: [ { x: 0, y: 200 }, { x: 1, y: 390 }, { x: 2, y: 1000 }, { x: 3, y: 200 }, { x: 4, y: 230 } ],
color: "#6060c0"
});
graph.update();
});