我有一个像这样的整洁树形图表
const data = {
"name": "tree",
"children": [{
"name": "A",
"children": [{
"name": "B",
"children": [{
"name": "C",
"size": 3938
}, ]
},
{
"name": "H",
"children": [{
"name": "D",
"size": 3534
},
{
"name": "E",
"size": 5731
},
{
"name": "F",
"size": 7840
},
]
},
]
}]
}
const width = 928;
// Compute the tree height; this approach will allow the height of the
// SVG to scale according to the breadth (width) of the tree layout.
const root = d3.hierarchy(data);
const dx = 10;
const dy = width / (root.height + 1);
// Create a tree layout.
const tree = d3.tree().nodeSize([dx, dy]);
// Sort the tree and apply the layout.
root.sort((a, b) => d3.ascending(a.data.name, b.data.name));
tree(root);
// Compute the extent of the tree. Note that x and y are swapped here
// because in the tree layout, x is the breadth, but when displayed, the
// tree extends right rather than down.
let x0 = Infinity;
let x1 = -x0;
root.each(d => {
if (d.x > x1) x1 = d.x;
if (d.x < x0) x0 = d.x;
});
// Compute the adjusted height of the tree.
const height = x1 - x0 + dx * 2;
const svg = d3.select("svg")
.attr("width", width)
.attr("height", height)
.attr("viewBox", [-dy / 3, x0 - dx, width, height])
.attr("style", "max-width: 100%; height: auto; font: 10px sans-serif;");
const link = svg.append("g")
.attr("fill", "none")
.attr("stroke", "#555")
.attr("stroke-opacity", 0.4)
.attr("stroke-width", 1.5)
link
.selectAll()
.data(root.links())
.join("path")
.attr("d", d3.linkHorizontal()
.x(d => d.y)
.y(d => d.x));
const node = svg.append("g")
.attr("stroke-linejoin", "round")
.attr("stroke-width", 3)
.selectAll()
.data(root.descendants())
.join("g")
.attr("transform", d => `translate(${d.y},${d.x})`)
node.append("circle")
.attr("fill", d => d.children ? "#555" : "#999")
.attr("r", 5.5)
node.append("text")
.attr("dy", "0.31em")
.attr("x", d => d.children ? -6 : 6)
.attr("text-anchor", d => d.children ? "end" : "start")
.text(d => d.data.name)
.clone(true).lower()
.attr("stroke", "white");
d3.selectAll("circle").on("contextmenu", (event) => {
this.selectedNode = event.srcElement.__data__.data
});
const connectNodes = (t, f) => {
let to = null,
fr = null;
node.each(d => {
if (d.data.name === t) to = d;
if (d.data.name === f) fr = d;
});
if (to && fr) {
link.append("path")
.attr("d", "M" + to.y + "," + to.x + "L" + fr.y + "," + fr.x)
.attr("fill", "none")
.attr("stroke", "red");
}
};
connectNodes("B", "D");
<!doctype html>
<html>
<head>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/7.8.5/d3.js"></script>
</head>
<body>
<svg></svg>
</body>
</html>
我想找到节点B的已知连接节点列表 这里是 A 、 C 和 D
我该怎么做?
const data = {
"name": "tree",
"children": [{
"name": "A",
"children": [{
"name": "B",
"children": [{
"name": "C",
"size": 3938
}, ]
},
{
"name": "H",
"children": [{
"name": "D",
"size": 3534
},
{
"name": "E",
"size": 5731
},
{
"name": "F",
"size": 7840
},
]
},
]
}]
}
const width = 928;
// Compute the tree height; this approach will allow the height of the
// SVG to scale according to the breadth (width) of the tree layout.
const root = d3.hierarchy(data);
const dx = 10;
const dy = width / (root.height + 1);
// Create a tree layout.
const tree = d3.tree().nodeSize([dx, dy]);
// Sort the tree and apply the layout.
root.sort((a, b) => d3.ascending(a.data.name, b.data.name));
tree(root);
// Compute the extent of the tree. Note that x and y are swapped here
// because in the tree layout, x is the breadth, but when displayed, the
// tree extends right rather than down.
let x0 = Infinity;
let x1 = -x0;
root.each(d => {
if (d.x > x1) x1 = d.x;
if (d.x < x0) x0 = d.x;
});
// Compute the adjusted height of the tree.
const height = x1 - x0 + dx * 2;
const svg = d3.select("svg")
.attr("width", width)
.attr("height", height)
.attr("viewBox", [-dy / 3, x0 - dx, width, height])
.attr("style", "max-width: 100%; height: auto; font: 10px sans-serif;");
const link = svg.append("g")
.attr("fill", "none")
.attr("stroke", "#555")
.attr("stroke-opacity", 0.4)
.attr("stroke-width", 1.5)
link
.selectAll()
.data(root.links())
.join("path")
.attr("d", d3.linkHorizontal()
.x(d => d.y)
.y(d => d.x));
const node = svg.append("g")
.attr("stroke-linejoin", "round")
.attr("stroke-width", 3)
.selectAll()
.data(root.descendants())
.join("g")
.attr("transform", d => `translate(${d.y},${d.x})`)
node.append("circle")
.attr("fill", d => d.children ? "#555" : "#999")
.attr("r", 5.5)
node.append("text")
.attr("dy", "0.31em")
.attr("x", d => d.children ? -6 : 6)
.attr("text-anchor", d => d.children ? "end" : "start")
.text(d => d.data.name)
.clone(true).lower()
.attr("stroke", "white");
d3.selectAll("circle").on("contextmenu", (event) => {
this.selectedNode = event.srcElement.__data__.data
});
const connectNodes = (t, f) => {
let to = null,
fr = null;
node.each(d => {
if (d.data.name === t) to = d;
if (d.data.name === f) fr = d;
});
if (to && fr) {
link.append("path")
.attr("d", "M" + to.y + "," + to.x + "L" + fr.y + "," + fr.x)
.attr("fill", "none")
.attr("stroke", "red");
}
};
connectNodes("B", "D");
//find point B
const ggs = document.querySelectorAll("svg g g");
const gps = document.querySelectorAll("svg g path");
const paths = Array.from(gps).map((t) => t.getAttribute("d"));
let pnts = {}
Array.from(ggs).forEach((t) => {
const l = t.querySelector("text").innerHTML;
const matrix = t.transform.baseVal["0"].matrix;
pnts[l] = matrix.e + "," + matrix.f;
pnts[pnts[l]] = l;
});
let keys = Object.values(pnts);
//["M232,0C348,0,348,-15,464,-15", "M464,-15C580,-15,580,-15,696,-15", "M464,-15L696,5"]
const result = paths.filter((p) => p.includes(pnts["B"]))
.map((p) => {
let m;
if(p.endsWith(pnts["B"])){
m = p.match(/^[A-Za-z]*(-*\d+,-*\d+)/)[1];
} else {
m = p.match(/-*\d+,-*\d+$/)[0];
};
return pnts[m];
})
console.log(result);
<!doctype html>
<html>
<head>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/7.8.5/d3.js"></script>
</head>
<body>
<svg></svg>
</body>
</html>