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我有以下 json 结构:
data = {
"nodes":[
{
"nodeType":"File",
"nodeId":16392,
"property1":"coint_ctolocal_partitions",
"property2":null,
"group":0,
"more":false
},
{
"nodeType":"File",
"nodeId":16386,
"property1":"pers_contrato_partitions",
"property2":null,
"group":0,
"more":false
}
],
"links":[
{
"source":16386,
"target":16392,
"value":0,
"val":"{\"Contract\":[\"Insurance\"]}",
"type":"PTN"
}
]
};
目前这正在返回 Uncaught TypeError: Cannot read property 'weight' of undefined
。
在我们的测试数据中,我们简单地使用了 source:0
和 target:1
并且这是有效的,因为我假设它使用节点索引将对象链接在一起。或者可能是 linkindex
函数。
完整的函数如下所示:
returnTableRelationshipData = function(){
data = {} // json data as described above
// used to store the number of links between two nodes.
// mLinkNum[data.links[i].source + "," + data.links[i].target] = data.links[i].linkindex;
var mLinkNum = {};
// sort links first
sortLinks();
// set up linkIndex and linkNumer, because it may possible multiple links share the same source and target node
setLinkIndexAndNum();
// check that we don't have empty or null values
checkDataNotEmpty();
var w = 600,
h = 500;
var force = d3.layout.force()
.nodes(d3.values(data.nodes))
.links(data.links)
.size([w, h])
.linkDistance(150)
.charge(-300)
.on("tick", tick)
.start();
var svg = d3.select(".graphContainer").append("svg:svg")
.attr("width", w)
.attr("height", h);
var path = svg.append("svg:g")
.selectAll("path")
.data(force.links())
.enter().append("svg:path")
.attr("class", "link");
var circle = svg.append("svg:g")
.selectAll("circle")
.data(force.nodes())
.enter().append("svg:circle")
.attr("r", 6)
.call(force.drag);
var text = svg.append("svg:g")
.selectAll("g")
.data(force.nodes())
.enter().append("svg:g");
// A copy of the text with a thick white stroke for legibility.
text.append("svg:text")
.attr("x", 12)
.attr("y", ".31em")
.attr("class", "shadow")
.text(function(d){ return d.property1; });
text.append("svg:text")
.attr("x", 12)
.attr("y", ".31em")
.text(function(d){ return d.property1; });
// Use elliptical arc path segments to doubly-encode directionality.
function tick() {
path.attr("d", function(d){
var dx = d.target.x - d.source.x,
dy = d.target.y - d.source.y,
dr = Math.sqrt(dx * dx + dy * dy);
// get the total link numbers between source and target node
var lTotalLinkNum = mLinkNum[d.source.id + "," + d.target.id] || mLinkNum[d.target.id + "," + d.source.id];
if(lTotalLinkNum > 1)
{
// if there are multiple links between these two nodes, we need generate different dr for each path
dr = dr/(1 + (1/lTotalLinkNum) * (d.linkindex - 1));
}
// generate svg path
return "M" + d.source.x + "," + d.source.y +
"A" + dr + "," + dr + " 0 0 1," + d.target.x + "," + d.target.y +
"A" + dr + "," + dr + " 0 0 0," + d.source.x + "," + d.source.y;
});
circle.attr("transform", function(d){
return "translate(" + d.x + "," + d.y + ")";
});
text.attr("transform", function(d){
return "translate(" + d.x + "," + d.y + ")";
});
}
// sort the links by source, then target
function sortLinks(){
if(data.links != null){
data.links.sort(function(a,b){
if(a.source > b.source){
return 1;
}else if(a.source < b.source){
return -1;
}else{
if(a.target > b.target){
return 1;
}if(a.target < b.target){
return -1;
}else{
return 0;
}
}
});
}
}
//any links with duplicate source and target get an incremented 'linknum'
function setLinkIndexAndNum(){
for(var i = 0; i < data.links.length; i++){
if(i != 0 &&
data.links[i].source == data.links[i-1].source &&
data.links[i].target == data.links[i-1].target){
data.links[i].linkindex = data.links[i-1].linkindex + 1;
}else{
data.links[i].linkindex = 1;
}// save the total number of links between two nodes
if(mLinkNum[data.links[i].target + "," + data.links[i].source] !== undefined){
mLinkNum[data.links[i].target + "," + data.links[i].source] = data.links[i].linkindex;
}else{
mLinkNum[data.links[i].source + "," + data.links[i].target] = data.links[i].linkindex;
}
}
}
function checkDataNotEmpty(){
data.links.forEach(function(link, index, list) {
if (typeof link.source === 'undefined') {
console.log('undefined link', data.nodes[link.source]);
}
if (typeof link.target === 'undefined') {
console.log('undefined source', data.nodes[link.target]);
}
console.log(typeof link.source, typeof link.target);
});
}
}
$(document).ready(function(){
returnTableRelationshipData();
});
在节点数据中,我们有 nodeId
来唯一标识节点。我们还有 property1
,这是一个唯一的表名。
所以我需要一些方法来使用自定义 json 键在现有数据之间设置源和目标,如果可能的话? (即映射 nodeId 为源或目标)。
起初我以为我遇到了整数、字符串等问题,但如果有帮助,我们可以在它们之间进行转换。 (我的意思是我确实尝试过但没有成功)。
我在这里做了一个 fiddle :https://jsfiddle.net/lharby/j1q1oLzL/1/
最佳答案
你可以这样做,将目标/源 id 转换为它在节点数组中的索引:
//find the node index
function find(f){
var i = -1
data.nodes.forEach(function(node, index){
if(node.nodeId == f)
i = index;
});
return i;
}
//set the source and target index
data.links.forEach(function(d){
d.source = find(d.source);
d.target = find(d.target);
});
链接源目标必须是节点数组的索引,如 docs 中所述
工作代码here
关于javascript - 在当前返回 Uncaught TypeError : Cannot read property 'weight' of undefined 的节点 d3.js 之间创建链接,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/36303152/
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