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Commit 7d34be6f authored by Sven Schneider's avatar Sven Schneider
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heatmap implemented using d3 and plotly libraries as well as fixed some labels on RibbonPlot

parent 60ab8f24
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index.html
View file @ 7d34be6f
......@@ -196,18 +196,17 @@
<!-- end row -->
<div class="row">
<div class="col-xl-6">
<div class="col-xl-12">
<div class="card mb-4">
<div class="card-header">
<i class="fas fa-chart-area mr-1"></i>
2d heatmap
<i class="fas fa-globe mr-1"></i>
PLotly heatmap2d
</div>
<div class="card-body">
<div
id="heatmap2d"
width="100%"
height="40"
style="max-width: 100%; max-height: 600px"
height="40"
>
<!-- Plotly chart will be drawn inside this DIV -->
</div>
......
public/js/appChart.js
View file @ 7d34be6f
......@@ -463,111 +463,7 @@ followNextLink(
jsonFromArr.forEach((obj) => renameKey(obj, "0", "x"));
let jsonFromArr2 = jsonFromArr;
jsonFromArr2.forEach((obj) => renameKey(obj, "1", "y"));
///////////////////////////////////////////////////
function prep2dHistogramData(jsonData) {
var resList = [];
const L = jsonData.length;
var startVal = 1;
var currentDay = 1;
var hourInMonth = 0;
var x = [];
var y = [];
var z = [];
for (var d = 0; d < L; d++) {
let tmpDate = new Date(jsonData[d].x);
// let datum = tmpDate.getDate(); // gets the day of the month 1...31
let hour = tmpDate.getHours();
let day = tmpDate.getUTCDate();
let month = tmpDate.getUTCMonth(); // gets the month as numeric value
if (currentDay == day) {
x.push([startVal, startVal + 1]);
y.push([hourInMonth,hourInMonth]);
z.push([jsonData[d].y, jsonData[d].y]);
hourInMonth++;
} else {
resList.push({x:x, y:y, z:z } );
var x = [];
var y = [];
var z = [];
currentMonth += 1;
startVal += 2;
hourInMonth = 0;
x.push([startVal, startVal + 1]);
y.push([hourInMonth,hourInMonth]);
z.push([jsonData[d].y, jsonData[d].y]);
}
} // end of for loop
// add results for last month as else statement will not be reached for the december
// as the condition d < L will be true before the condition currentMonth === month can be evaluated
// re-activate following line when i have more than one data point for the next month
// resList.push({x:x, y:y, z:z } );
return resList;
}
///////////////////////////////////////////////////
function prepRibbonData(jsonData) {
var resList = [];
const L = jsonData.length;
var startVal = 2;
var currentMonth = 0;
var hourInMonth = 0;
var x = [];
var y = [];
var z = [];
for (var d = 0; d < L; d++) {
let tmpDate = new Date(jsonData[d].x);
// let datum = tmpDate.getDate(); // gets the day of the month 1...31
let hour = tmpDate.getHours();
let month = tmpDate.getUTCMonth(); // gets the month as numeric value
if (currentMonth == month) {
x.push([startVal, startVal + 1]);
y.push([hourInMonth,hourInMonth]);
z.push([jsonData[d].y, jsonData[d].y]);
hourInMonth++;
} else {
resList.push({x:x, y:y, z:z } );
var x = [];
var y = [];
var z = [];
currentMonth += 1;
startVal += 2;
hourInMonth = 0;
x.push([startVal, startVal + 1]);
y.push([hourInMonth,hourInMonth]);
z.push([jsonData[d].y, jsonData[d].y]);
}
} // end of for loop
// add results for last month as else statement will not be reached for the december
// as the condition d < L will be true before the condition currentMonth === month can be evaluated
// re-activate following line when i have more than one data point for the next month
// resList.push({x:x, y:y, z:z } );
return resList;
}
///////////////////////////////////////////////////
let datx=[];
let daty=[];
......@@ -690,10 +586,9 @@ followNextLink(
location.appendChild(scriptTag);
};
var preppedData = prepRibbonData(jsonFromArr2);
loadJS('js/createPlotlyPlots.js', makeRibbonPlot(preppedData), document.body);
loadJS('js/createPlotlyPlots.js', makeHeatmap(preppedData), document.body);
loadJS('js/createPlotlyPlots.js', makeRibbonPlot(jsonFromArr2), document.body);
makeHeatmap(jsonFromArr2);
///////////////////////////////////////
......
public/js/createPlotlyPlots.js
View file @ 7d34be6f
function prepRibbonData(jsonData) {
var resList = [];
const L = jsonData.length;
var startVal = 2;
var currentMonth = 0;
var hourInMonth = 0;
var x = [];
var y = [];
var z = [];
for (var d = 0; d < L; d++) {
let tmpDate = new Date(jsonData[d].x);
// let datum = tmpDate.getDate(); // gets the day of the month 1...31
let hour = tmpDate.getHours();
let month = tmpDate.getUTCMonth(); // gets the month as numeric value
if (currentMonth == month) {
x.push([startVal, startVal + 1]);
y.push([hourInMonth, hourInMonth]);
z.push([jsonData[d].y, jsonData[d].y]);
hourInMonth++;
} else {
resList.push({ x: x, y: y, z: z });
var x = [];
var y = [];
var z = [];
currentMonth += 1;
startVal += 2;
hourInMonth = 0;
x.push([startVal, startVal + 1]);
y.push([hourInMonth, hourInMonth]);
z.push([jsonData[d].y, jsonData[d].y]);
}
} // end of for loop
// add results for last month as else statement will not be reached for the december
// as the condition d < L will be true before the condition currentMonth === month can be evaluated
// re-activate following line when i have more than one data point for the next month
// resList.push({x:x, y:y, z:z } );
return resList;
}
function makeRibbonPlot(dat) {
preppedData = prepRibbonData(dat);
dat = preppedData;
// https://plotly.com/javascript/ribbon-plots/
var trace1 = {
x: dat[0].x,
......@@ -83,46 +133,114 @@ function makeRibbonPlot(dat) {
},
};
Plotly.newPlot("RibbonPlot", data, layout);
}
////////////////////////////////////////////////////////////
function make2dHistogram(dat) {
//////////////////////////////
// make heatmap or 2d histogram plot
function prepHeatmapData(jsonData) {
const L = jsonData.length;
var x = [];
var y = [];
for (var i = 0; i < 500; i++) {
x[i] = Math.random();
y[i] = Math.random() + 1;
}
var z = [];
var hourCnt = 0;
const maxH = 24;
const incr = Math.round(L / maxH) + 1;
var data = [
{
x: x,
y: y,
z: x,
type: "histogram2d", // try this type as well 'histogram2dcontour' or this one 'histogram2d'
},
];
Plotly.newPlot("heatmap2d", data);
// span up the matrix that holds my temperature values
for (var d = 0; d < L; d += incr) {
// z.push( [...Array(incr).keys(NaN)] );
z.push(Array(incr).fill(NaN));
}
/////////////////////////////////////
function makeHeatmap(dat) {
var data = [
{
z: [
[1, null, 30, 50, 1],
[20, 1, 60, 80, 30],
[30, 60, 1, -10, 20],
],
x: ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday"],
y: ["Morning", "Afternoon", "Evening"],
type: "heatmap",
hoverongaps: false,
},
];
// now populate the empty (nan-filled) array with appropriate values
var cnt = 0;
var breakOut = false;
for (var hour = 0; hour < z.length; hour++) {
for (var day = 0; day < incr; day++) {
idx = (day * maxH) + hour ;
if (idx >= L)
continue;
z[hour][day] = jsonData[idx].y;
cnt++;
if (cnt >= L) {
breakOut = true;
break;
}
}
if (breakOut)
break;
}
// window.alert(cnt);
return z;
}
Plotly.newPlot("heatmap2d", data);
/////////////////////////////////////
function makeHeatmap(dat) {
z_data = prepHeatmapData(dat);
layout = { // all "layout" attributes: #layout
title: 'Inlet flow Overview of 2020 - 1st Jan - 30th Jun', // more about "layout.title": #layout-title
showlegend: true,
autosize: true,
width: 1400,
height: 800,
xaxis: { // all "layout.xaxis" attributes: #layout-xaxis
title: 'Number of the day of the year',
tickmode: "array",
tickvals: [0 , 31, 60, 91, 121, 152, 182],
ticktext: ["1st. Jan", "1st Feb", "1st Mar", "1st Apr", "1st May", "1st Jun", "1st Jul"], // more about "layout.xaxis.title": #layout-xaxis-title
},
yaxis: {
title: "Hours of the day",
tickmode: "array",
tickvals: [...Array(24).keys()],
ticktext: String([...Array(24).keys()]),
},
annotations: [ // all "annotation" attributes: #layout-annotations
// {
// text: '1st of February', // #layout-annotations-text
// x: 0, // #layout-annotations-x
// xref: 'paper', // #layout-annotations-xref
// y: 0, // #layout-annotations-y
// yref: 'paper' // #layout-annotations-yref
// }
]
}
var data = [
{
// z: [ [1, 20, 30 , 20], [20, 1, 60, 10 ], [30, 60, 1, 5], [1, 20, 30 , 20], [20, 1, 60, 10 ], [30, 60, 1, 5] ],
z: z_data,
type: "heatmap",
},
];
Plotly.newPlot("heatmap2d", data, layout);
}
function make2dHistogram(dat) {
//////////////////////////////
// make heatmap or 2d histogram plot
var x = [];
var y = [];
for (var i = 0; i < 500; i++) {
x[i] = Math.random();
y[i] = Math.random() + 1;
}
var data = [
{
x: x,
y: y,
z: x,
type: "histogram2d", // try this type as well 'histogram2dcontour' or this one 'histogram2d'
},
];
Plotly.newPlot("heatmap2d", data);
}
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