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Last active November 9, 2016 20:36
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Rectangular adjacency matrix V
Raw
README.md

Another rectangular adjacency matrix as in the previous example, this time using a color scale to convey the magnitude of a link's weight. The example random data shows the energy consumption of a hypotetical office, according to time of day and day of week.

Raw
index.coffee
# DATA
a_ids = ['Mo','Tu','We','Th','Fr','Sa','Su']
b_ids = ['00','01','02','03','04','05','06','07','08','09','10','11','12','13','14','15','16','17','18','19','20','21','22','23']
links = []
a_ids.forEach (a) ->
b_ids.forEach (b) ->
links.push {
a: a,
b: b,
w: ( Math.random() + (if b in ['08','09','10','11','12','13','14','15','16','17','18'] then 0.4 else 0) ) / (if a in ['Sa','Su'] then 3 else 1)
}
max_weight = d3.max links, (d) -> d.w
# LAYOUT
# try to fit this rectangle with the matrix
matrix_w = 800
matrix_h = 400
a_n = a_ids.length
b_n = b_ids.length
cellsize = Math.min matrix_w/b_n, matrix_h/a_n # beware! a is y and b is x!
x = d3.scaleBand()
.domain b_ids # beware! a is y and b is x!
.range [-cellsize*b_n/2, cellsize*b_n/2] # centered in (0,0)
y = d3.scaleBand()
.domain a_ids
.range [-cellsize*a_n/2, cellsize*a_n/2]
weight2color = d3.scaleSequential(d3.interpolateViridis)
.domain [0, max_weight]
# VIS
svg = d3.select 'svg'
width = svg.node().getBoundingClientRect().width
height = svg.node().getBoundingClientRect().height
# center the vis on (0,0)
vis = svg.append 'g'
.attrs
transform: "translate(#{width/2},#{height/2})"
# draw cells
cells = vis.selectAll '.cell'
.data links, (d) -> "#{d.a}--#{d.b}"
en_cells = cells.enter().append 'rect'
.attrs
class: 'cell'
all_cells = en_cells.merge cells
all_cells
.attrs
x: (d) -> x(d.b)
y: (d) -> y(d.a)
width: x.bandwidth()
height: y.bandwidth()
fill: (d) -> weight2color(d.w)
cells.exit().remove()
# draw row labels
a_labels = vis.selectAll '.a_label'
.data a_ids
en_a_labels = a_labels.enter().append 'text'
.attrs
class: 'a_label'
all_a_labels = en_a_labels.merge a_labels
all_a_labels
.text (d) -> d
.attrs
dy: '0.35em'
x: x.range()[0] - 8
y: (d) -> y(d) + y.bandwidth()/2
a_labels.exit().remove()
# draw column labels
b_labels = vis.selectAll '.b_label'
.data b_ids
en_b_labels = b_labels.enter().append 'text'
.attrs
class: 'b_label'
all_b_labels = en_b_labels.merge b_labels
all_b_labels
.text (d) -> d
.attrs
x: (d) -> x(d) + x.bandwidth()/2
y: y.range()[0] - 8
b_labels.exit().remove()
Raw
index.css
body, html {
padding: 0;
margin: 0;
height: 100%;
}
svg {
width: 100%;
height: 100%;
background: white;
}
.cell {
shape-rendering: crispEdges;
}
.a_label, .b_label {
font-family: sans-serif;
font-size: 14px;
}
.a_label {
text-anchor: end;
}
.b_label {
text-anchor: middle;
}
Raw
index.html
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Rectangular adjacency matrix V</title>
<link type="text/css" href="index.css" rel="stylesheet"/>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="https://d3js.org/d3-selection-multi.v0.4.min.js"></script>
</head>
<body>
<svg></svg>
<script src="index.js"></script>
</body>
</html>
Raw
index.js
// Generated by CoffeeScript 1.10.0
(function() {
var a_ids, a_labels, a_n, all_a_labels, all_b_labels, all_cells, b_ids, b_labels, b_n, cells, cellsize, en_a_labels, en_b_labels, en_cells, height, links, matrix_h, matrix_w, max_weight, svg, vis, weight2color, width, x, y;
a_ids = ['Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa', 'Su'];
b_ids = ['00', '01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23'];
links = [];
a_ids.forEach(function(a) {
return b_ids.forEach(function(b) {
return links.push({
a: a,
b: b,
w: (Math.random() + (b === '08' || b === '09' || b === '10' || b === '11' || b === '12' || b === '13' || b === '14' || b === '15' || b === '16' || b === '17' || b === '18' ? 0.4 : 0)) / (a === 'Sa' || a === 'Su' ? 3 : 1)
});
});
});
max_weight = d3.max(links, function(d) {
return d.w;
});
matrix_w = 800;
matrix_h = 400;
a_n = a_ids.length;
b_n = b_ids.length;
cellsize = Math.min(matrix_w / b_n, matrix_h / a_n);
x = d3.scaleBand().domain(b_ids).range([-cellsize * b_n / 2, cellsize * b_n / 2]);
y = d3.scaleBand().domain(a_ids).range([-cellsize * a_n / 2, cellsize * a_n / 2]);
weight2color = d3.scaleSequential(d3.interpolateViridis).domain([0, max_weight]);
svg = d3.select('svg');
width = svg.node().getBoundingClientRect().width;
height = svg.node().getBoundingClientRect().height;
vis = svg.append('g').attrs({
transform: "translate(" + (width / 2) + "," + (height / 2) + ")"
});
cells = vis.selectAll('.cell').data(links, function(d) {
return d.a + "--" + d.b;
});
en_cells = cells.enter().append('rect').attrs({
"class": 'cell'
});
all_cells = en_cells.merge(cells);
all_cells.attrs({
x: function(d) {
return x(d.b);
},
y: function(d) {
return y(d.a);
},
width: x.bandwidth(),
height: y.bandwidth(),
fill: function(d) {
return weight2color(d.w);
}
});
cells.exit().remove();
a_labels = vis.selectAll('.a_label').data(a_ids);
en_a_labels = a_labels.enter().append('text').attrs({
"class": 'a_label'
});
all_a_labels = en_a_labels.merge(a_labels);
all_a_labels.text(function(d) {
return d;
}).attrs({
dy: '0.35em',
x: x.range()[0] - 8,
y: function(d) {
return y(d) + y.bandwidth() / 2;
}
});
a_labels.exit().remove();
b_labels = vis.selectAll('.b_label').data(b_ids);
en_b_labels = b_labels.enter().append('text').attrs({
"class": 'b_label'
});
all_b_labels = en_b_labels.merge(b_labels);
all_b_labels.text(function(d) {
return d;
}).attrs({
x: function(d) {
return x(d) + x.bandwidth() / 2;
},
y: y.range()[0] - 8
});
b_labels.exit().remove();
}).call(this);
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