Cheminformatics, Graph, Network, D3.js, CC BY 4.0
Public
Edited
Jul 24, 2018
2 forks
6 stars
data = {
const points = [
{id: 1, x: 12, y: 17, weight: 0.12},
{id: 2, x: 24, y: 63, weight: 0.53},
{id: 3, x: 39, y: 82, weight: 0.91},
{id: 4, x: 40, y: 10, weight: 0.22},
{id: 5, x: 52, y: 33, weight: 0.58},
{id: 6, x: 61, y: 68, weight: 0.36},
{id: 7, x: 68, y: 31, weight: 0.71},
{id: 8, x: 72, y: 82, weight: 0.32},
{id: 9, x: 85, y: 23, weight: 0.5},
{id: 10, x: 90, y: 12, weight: 0.19},
{id: 11, x: 92, y: 89, weight: 0.08},
{id: 12, x: 95, y: 45, weight: 0.98}
]
const boundary = []
let n = 13
const grid = [0, 2, 4, 6, 8, 10]
grid.forEach(i => {
grid.forEach(j => {
if ((i === 0 || i === 10) || (j === 0 || j === 10)) {
boundary.push({id: n, x: i * 10, y: j * 10, weight: 0})
n++
}
})
})
return points.concat(boundary)
}
contours = {
const res = []
const levels = [0.8, 0.6, 0.4, 0.2]
const pattern = [
[],
[[0, 2], [1, 2]],
[[1, 2], [0, 1]],
[[0, 2], [0, 1]],
[[0, 1], [0, 2]],
[[0, 1], [1, 2]],
[[1, 2], [0, 2]],
[]
]
levels.forEach(level => {
// Meandering triangles
const vertices = []
triangles.forEach(tri => {
const pn = tri.map(t => t.weight >= level).reduce((ac, x) => ac << 1 | x)
if (pn < 1 || pn > 6) return null
const v = pattern[pn].map((t, i) => {
const n1 = tri[t[0]]
const n2 = tri[t[1]]
const x = d3.scaleLinear()
.domain([n1.weight, n2.weight])
.range([n1.x, n2.x])
const y = d3.scaleLinear()
.domain([n1.weight, n2.weight])
.range([n1.y, n2.y])
const verID = n1.id < n2.id ? `${n1.id}_${n2.id}` : `${n2.id}_${n1.id}`
return [verID, x(level), y(level)]
})
const f1 = vertices.find(e => e.verID === v[0][0])
if (f1) {
f1.succ = v[1][0]
} else {
vertices.push({
verID: v[0][0], x: v[0][1], y: v[0][2], succ: v[1][0]
})
}
const f2 = vertices.find(e => e.verID === v[1][0])
if (f2) {
f2.pred = v[0][0]
} else {
vertices.push({
verID: v[1][0], x: v[1][1], y: v[1][2], pred: v[0][0]
})
}
})
// Contour path generation
const graph = {}
vertices.forEach(v => { graph[v.verID] = [] })
vertices.forEach(v => {
if (v.hasOwnProperty('succ')) {
graph[v.verID].push(v.succ)
}
if (v.hasOwnProperty('pred')) {
graph[v.verID].push(v.pred)
}
})
const paths = []
let vs = vertices.map(e => e.verID)
while (vs.length) {
const path = []
const stack = [vs.pop()]
const visited = []
while (stack.length) {
const p = stack.pop()
visited.push(p)
const rcd = vertices.find(e => e.verID === p)
const coords = {x: rcd.x, y: rcd.y}
stack.length === 1 ? path.push(coords) : path.unshift(coords)
const nbrs = graph[p]
nbrs.forEach(nbr => {
if (visited.includes(nbr)) return
stack.push(nbr)
})
}
paths.push({path: path, level: level})
// Remove visited
vs = vs.filter(e => !visited.includes(e))
}
paths.forEach(e => res.push(e))
})
return res
}
draw = {
const links = d3.select(".edges")
.selectAll("line")
.data(vor.links())
links.exit().remove()
links.enter().append("line")
.attr("x1", function(d) { return d.source.x; })
.attr("y1", function(d) { return d.source.y; })
.attr("x2", function(d) { return d.target.x; })
.attr("y2", function(d) { return d.target.y; })
.attr("fill", "none")
.attr("stroke", "#000")
.attr("stroke-width", 0.1)
const nodes = d3.select(".nodes")
.selectAll("circle")
.data(data)
nodes.exit().remove()
nodes.enter().append("circle")
.attr("r", 2)
.attr("cx", function(d) { return d.x; })
.attr("cy", function(d) { return d.y; })
.attr("fill", function(d) { return d3.interpolateGreens(d.weight) });
const contourLine = d3.line()
.x(function(d) { return d.x; })
.y(function(d) { return d.y; })
.curve(d3.curveCatmullRom.alpha(0.5))
// .curve(d3.curveCatmullRomClosed.alpha(0.5))
const cont = d3.select(".contours")
.selectAll("path")
.data(contours)
cont.exit().remove()
cont.enter().append("path")
.attr("d", d => contourLine(d.path))
.attr("fill", "none")
.attr("stroke", function(d) { return d3.interpolateOranges(d.level); })
}
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