nvd3 plot with too many points fails - Cannot read property 'x' of null - nvd3.js

I have a line chart with nvd3.
It works fine when I have fewer points, but I get a javascript error when I have more point:
Cannot read property 'x' of null
Here is the full html for the case with more data which fails:
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<link href="https://cdnjs.cloudflare.com/ajax/libs/nvd3/1.7.0/nv.d3.min.css" rel="stylesheet" />
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/nvd3/1.7.0/nv.d3.min.js"></script>
</head>
<body>
<div id="coverage"><svg style="width:1200px;height:400px;"></svg></div>
<script>
coverage=[{"values": [{"y": 0.1, "x": 0}, {"y": 0.1, "x": 1}, {"y": 0.1, "x": 2}, {"y": 0.1, "x": 3}, {"y": 0.1, "x": 4}, {"y": 0.1, "x": 5}, {"y": 0.1, "x": 6}, {"y": 0.1, "x": 7}, {"y": 0.1, "x": 8}, {"y": 0.1, "x": 9}, {"y": 0.1, "x": 10}, {"y": 0.1, "x": 11}, {"y": 0.1, "x": 12}, {"y": 0.1, "x": 13}, {"y": 0.1, "x": 14}, {"y": 0.1, "x": 15}, {"y": 0.1, "x": 16}, {"y": 0.1, "x": 17}, {"y": 0.1, "x": 18}, {"y": 0.1, "x": 19}, {"y": 0.1, "x": 20}, {"y": 0.1, "x": 21}, {"y": 0.1, "x": 22}, {"y": 0.1, "x": 23}, {"y": 0.1, "x": 24}, {"y": 0.1, "x": 25}, {"y": 0.1, "x": 26}, {"y": 0.1, "x": 27}, {"y": 0.1, "x": 28}, {"y": 0.1, "x": 29}, {"y": 0.1, "x": 30}, {"y": 0.1, "x": 31}, {"y": 0.1, "x": 32}, {"y": 0.1, "x": 33}, {"y": 0.1, "x": 34}, {"y": 0.1, "x": 35}, {"y": 0.1, "x": 36}, {"y": 0.1, "x": 37}, {"y": 0.1, "x": 38}, {"y": 0.1, "x": 39}, {"y": 0.1, "x": 40}, {"y": 0.1, "x": 41}, {"y": 0.1, "x": 42}, {"y": 0.1, "x": 43}, {"y": 0.1, "x": 44}, {"y": 0.1, "x": 45}, {"y": 0.1, "x": 46}, {"y": 0.1, "x": 47}, {"y": 0.1, "x": 48}, {"y": 0.1, "x": 49}], "key": "qq003.1.3", "yAxis": "1"}, {"values": [{"y": 0.1, "x": 0}, {"y": 0.1, "x": 1}, {"y": 0.1, "x": 2}, {"y": 0.1, "x": 3}, {"y": 0.1, "x": 4}, {"y": 0.1, "x": 5}, {"y": 0.1, "x": 6}, {"y": 0.1, "x": 7}, {"y": 0.1, "x": 8}, {"y": 0.1, "x": 9}, {"y": 0.1, "x": 10}, {"y": 0.1, "x": 11}, {"y": 0.1, "x": 12}, {"y": 0.1, "x": 13}, {"y": 0.1, "x": 14}, {"y": 0.1, "x": 15}, {"y": 0.1, "x": 16}, {"y": 0.1, "x": 17}, {"y": 0.1, "x": 18}, {"y": 0.1, "x": 19}, {"y": 0.1, "x": 20}, {"y": 0.1, "x": 21}, {"y": 0.1, "x": 22}, {"y": 0.1, "x": 23}, {"y": 0.1, "x": 24}, {"y": 0.1, "x": 25}, {"y": 0.1, "x": 26}, {"y": 0.1, "x": 27}, {"y": 0.1, "x": 28}, {"y": 0.1, "x": 29}, {"y": 0.1, "x": 30}, {"y": 0.1, "x": 31}, {"y": 0.1, "x": 32}, {"y": 0.1, "x": 33}, {"y": 0.1, "x": 34}, {"y": 0.1, "x": 35}, {"y": 0.1, "x": 36}, {"y": 0.1, "x": 37}, {"y": 0.1, "x": 38}, {"y": 0.1, "x": 39}, {"y": 0.1, "x": 40}, {"y": 0.1, "x": 41}, {"y": 0.1, "x": 42}, {"y": 0.1, "x": 43}, {"y": 0.1, "x": 44}, {"y": 0.1, "x": 45}, {"y": 0.1, "x": 46}, {"y": 0.1, "x": 47}, {"y": 0.1, "x": 48}, {"y": 0.1, "x": 49}], "key": "qq003.1.67", "yAxis": "1"}, {"values": [{"y": 247677.0, "x": 0}, {"y": 250012.0, "x": 1}, {"y": 287416.0, "x": 2}, {"y": 327385.0, "x": 3}, {"y": 276739.0, "x": 4}, {"y": 247264.0, "x": 5}, {"y": 234246.0, "x": 6}, {"y": 252476.0, "x": 7}, {"y": 263584.0, "x": 8}, {"y": 244878.0, "x": 9}, {"y": 263238.0, "x": 10}, {"y": 223955.0, "x": 11}, {"y": 147838.0, "x": 12}, {"y": 216088.0, "x": 13}, {"y": 219334.0, "x": 14}, {"y": 464921.0, "x": 15}, {"y": 253147.0, "x": 16}, {"y": 143214.0, "x": 17}, {"y": 263756.0, "x": 18}, {"y": 289643.0, "x": 19}, {"y": 219631.0, "x": 20}, {"y": 280396.0, "x": 21}, {"y": 228272.0, "x": 22}, {"y": 205129.0, "x": 23}, {"y": 277684.0, "x": 24}, {"y": 336930.0, "x": 25}, {"y": 206536.0, "x": 26}, {"y": 184942.0, "x": 27}, {"y": 288391.0, "x": 28}, {"y": 265598.0, "x": 29}, {"y": 214029.0, "x": 30}, {"y": 205708.0, "x": 31}, {"y": 238413.0, "x": 32}, {"y": 173776.0, "x": 33}, {"y": 231737.0, "x": 34}, {"y": 189285.0, "x": 35}, {"y": 299765.0, "x": 36}, {"y": 254324.0, "x": 37}, {"y": 231075.0, "x": 38}, {"y": 425653.0, "x": 39}, {"y": 344885.0, "x": 40}, {"y": 394357.0, "x": 41}, {"y": 184156.0, "x": 42}, {"y": 251984.0, "x": 43}, {"y": 236977.0, "x": 44}, {"y": 280948.0, "x": 45}, {"y": 305699.0, "x": 46}, {"y": 249000.0, "x": 47}, {"y": 281287.0, "x": 48}, {"y": 247748.0, "x": 49}], "key": "qq001.2.047", "yAxis": "1"}];
nv.addGraph(function() {
var chart = nv.models.lineChart();
chart.margin({top: 30, right: 60, bottom: 100, left: 60});
var datum = coverage;
chart.xAxis
.rotateLabels(-25).tickFormat(d3.format(',.1f'));
chart.yAxis
.axisLabel('Coverage').tickFormat(d3.format(',.02f'));
chart.showLegend(true);
d3.select('#coverage svg')
.datum(datum)
.transition().duration(500)
.attr('width', 1200)
.attr('height', 400)
.call(chart);
});
</script>
</body>
</html>
Does anyone know how to fix this?

This is probably because you have identical points in the three series. Refer to https://github.com/novus/nvd3/issues/873
Try using useVoronoi(false);
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<link href="https://cdnjs.cloudflare.com/ajax/libs/nvd3/1.7.0/nv.d3.min.css" rel="stylesheet" />
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/nvd3/1.7.0/nv.d3.min.js"></script>
</head>
<body>
<div id="coverage"><svg style="width:1200px;height:400px;"></svg></div>
<script>
coverage=[{"values": [{"y": 0.2, "x": 0}, {"y": 0.1, "x": 1}, {"y": 0.1, "x": 2}, {"y": 0.1, "x": 3}, {"y": 0.1, "x": 4}, {"y": 0.1, "x": 5}, {"y": 0.1, "x": 6}, {"y": 0.1, "x": 7}, {"y": 0.1, "x": 8}, {"y": 0.1, "x": 9}, {"y": 0.1, "x": 10}, {"y": 0.1, "x": 11}, {"y": 0.1, "x": 12}, {"y": 0.1, "x": 13}, {"y": 0.1, "x": 14}, {"y": 0.1, "x": 15}, {"y": 0.1, "x": 16}, {"y": 0.1, "x": 17}, {"y": 0.1, "x": 18}, {"y": 0.1, "x": 19}, {"y": 0.1, "x": 20}, {"y": 0.1, "x": 21}, {"y": 0.1, "x": 22}, {"y": 0.1, "x": 23}, {"y": 0.1, "x": 24}, {"y": 0.1, "x": 25}, {"y": 0.1, "x": 26}, {"y": 0.1, "x": 27}, {"y": 0.1, "x": 28}, {"y": 0.1, "x": 29}, {"y": 0.1, "x": 30}, {"y": 0.1, "x": 31}, {"y": 0.1, "x": 32}, {"y": 0.1, "x": 33}, {"y": 0.1, "x": 34}, {"y": 0.1, "x": 35}, {"y": 0.1, "x": 36}, {"y": 0.1, "x": 37}, {"y": 0.1, "x": 38}, {"y": 0.1, "x": 39}, {"y": 0.1, "x": 40}, {"y": 0.1, "x": 41}, {"y": 0.1, "x": 42}, {"y": 0.1, "x": 43}, {"y": 0.1, "x": 44}, {"y": 0.1, "x": 45}, {"y": 0.1, "x": 46}, {"y": 0.1, "x": 47}, {"y": 0.1, "x": 48}, {"y": 0.1, "x": 49}], "key": "qq003.1.3", "yAxis": "1"}, {"values": [{"y": 0.1, "x": 0}, {"y": 0.1, "x": 1}, {"y": 0.1, "x": 2}, {"y": 0.1, "x": 3}, {"y": 0.1, "x": 4}, {"y": 0.1, "x": 5}, {"y": 0.1, "x": 6}, {"y": 0.1, "x": 7}, {"y": 0.1, "x": 8}, {"y": 0.1, "x": 9}, {"y": 0.1, "x": 10}, {"y": 0.1, "x": 11}, {"y": 0.1, "x": 12}, {"y": 0.1, "x": 13}, {"y": 0.1, "x": 14}, {"y": 0.1, "x": 15}, {"y": 0.1, "x": 16}, {"y": 0.1, "x": 17}, {"y": 0.1, "x": 18}, {"y": 0.1, "x": 19}, {"y": 0.1, "x": 20}, {"y": 0.1, "x": 21}, {"y": 0.1, "x": 22}, {"y": 0.1, "x": 23}, {"y": 0.1, "x": 24}, {"y": 0.1, "x": 25}, {"y": 0.1, "x": 26}, {"y": 0.1, "x": 27}, {"y": 0.1, "x": 28}, {"y": 0.1, "x": 29}, {"y": 0.1, "x": 30}, {"y": 0.1, "x": 31}, {"y": 0.1, "x": 32}, {"y": 0.1, "x": 33}, {"y": 0.1, "x": 34}, {"y": 0.1, "x": 35}, {"y": 0.1, "x": 36}, {"y": 0.1, "x": 37}, {"y": 0.1, "x": 38}, {"y": 0.1, "x": 39}, {"y": 0.1, "x": 40}, {"y": 0.1, "x": 41}, {"y": 0.1, "x": 42}, {"y": 0.1, "x": 43}, {"y": 0.1, "x": 44}, {"y": 0.1, "x": 45}, {"y": 0.1, "x": 46}, {"y": 0.1, "x": 47}, {"y": 0.1, "x": 48}, {"y": 0.1, "x": 49}], "key": "qq003.1.67", "yAxis": "1"}, {"values": [{"y": 247677.0, "x": 0}, {"y": 250012.0, "x": 1}, {"y": 287416.0, "x": 2}, {"y": 327385.0, "x": 3}, {"y": 276739.0, "x": 4}, {"y": 247264.0, "x": 5}, {"y": 234246.0, "x": 6}, {"y": 252476.0, "x": 7}, {"y": 263584.0, "x": 8}, {"y": 244878.0, "x": 9}, {"y": 263238.0, "x": 10}, {"y": 223955.0, "x": 11}, {"y": 147838.0, "x": 12}, {"y": 216088.0, "x": 13}, {"y": 219334.0, "x": 14}, {"y": 464921.0, "x": 15}, {"y": 253147.0, "x": 16}, {"y": 143214.0, "x": 17}, {"y": 263756.0, "x": 18}, {"y": 289643.0, "x": 19}, {"y": 219631.0, "x": 20}, {"y": 280396.0, "x": 21}, {"y": 228272.0, "x": 22}, {"y": 205129.0, "x": 23}, {"y": 277684.0, "x": 24}, {"y": 336930.0, "x": 25}, {"y": 206536.0, "x": 26}, {"y": 184942.0, "x": 27}, {"y": 288391.0, "x": 28}, {"y": 265598.0, "x": 29}, {"y": 214029.0, "x": 30}, {"y": 205708.0, "x": 31}, {"y": 238413.0, "x": 32}, {"y": 173776.0, "x": 33}, {"y": 231737.0, "x": 34}, {"y": 189285.0, "x": 35}, {"y": 299765.0, "x": 36}, {"y": 254324.0, "x": 37}, {"y": 231075.0, "x": 38}, {"y": 425653.0, "x": 39}, {"y": 344885.0, "x": 40}, {"y": 394357.0, "x": 41}, {"y": 184156.0, "x": 42}, {"y": 251984.0, "x": 43}, {"y": 236977.0, "x": 44}, {"y": 280948.0, "x": 45}, {"y": 305699.0, "x": 46}, {"y": 249000.0, "x": 47}, {"y": 281287.0, "x": 48}, {"y": 247748.0, "x": 49}], "key": "qq001.2.047", "yAxis": "1"}];
nv.addGraph(function() {
var chart = nv.models.lineChart();
chart.margin({top: 30, right: 60, bottom: 100, left: 60});
var datum = coverage;
chart.xAxis
.rotateLabels(-25).tickFormat(d3.format(',.1f'));
chart.yAxis
.axisLabel('Coverage').tickFormat(d3.format(',.02f'));
chart.showLegend(true).useVoronoi(false);
d3.select('#coverage svg')
.datum(datum)
.transition().duration(500)
.attr('width', 1200)
.attr('height', 400)
.call(chart);
});
</script>
</body>
</html>

Related

Drag and drop object on a SVG element in d3.js

I have an object (the skier on the image) that I want to be able to drag and drop on the line (the slope). My goal is to drag the skier up the slope, calculate the energy the skier has at that point, and when I drop him, he descends down the slope and then I calculate his speed based on the energy he had where he was the dropped.
I have managed to generate the line path but I don't know how I can limit the drag and drop area to to the line path that I have generated. I have tried to find relevant d3.drag() but I cannot find what I am looking. Some ideas how I can accomplish this?
Here is all my code:
const skierIconSvg = "skier.svg";
const margin = {top: 20, right: 20, bottom: 30, left: 50},
width = 600 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
const svg = d3.select('body').append('svg')
.attr("width", width)
.attr("height", height)
const data = [
{"x": 1, "y": 100},
{"x": 2, "y": 99},
{"x": 3, "y": 98},
{"x": 4, "y": 97},
{"x": 5, "y": 96},
{"x": 6, "y": 95},
{"x": 7, "y": 94},
{"x": 8, "y": 93},
{"x": 9, "y": 92},
{"x": 10, "y": 91},
{"x": 11, "y": 90},
{"x": 12, "y": 89},
{"x": 13, "y": 88},
{"x": 14, "y": 87},
{"x": 15, "y": 86},
{"x": 16, "y": 85},
{"x": 17, "y": 84},
{"x": 18, "y": 83},
{"x": 19, "y": 82},
{"x": 20, "y": 81},
{"x": 21, "y": 80},
{"x": 22, "y": 79},
{"x": 23, "y": 78},
{"x": 24, "y": 77},
{"x": 25, "y": 76},
{"x": 26, "y": 75},
{"x": 27, "y": 74},
{"x": 28, "y": 73},
{"x": 29, "y": 72},
{"x": 30, "y": 71},
{"x": 31, "y": 70},
{"x": 32, "y": 69},
{"x": 33, "y": 68},
{"x": 34, "y": 67},
{"x": 35, "y": 66},
{"x": 36, "y": 65},
{"x": 37, "y": 64},
{"x": 38, "y": 63},
{"x": 39, "y": 62},
{"x": 40, "y": 61},
{"x": 41, "y": 60},
{"x": 42, "y": 59},
{"x": 43, "y": 58},
{"x": 44, "y": 57},
{"x": 45, "y": 56},
{"x": 46, "y": 55},
{"x": 47, "y": 54},
{"x": 48, "y": 53},
{"x": 49, "y": 52},
{"x": 50, "y": 51},
{"x": 51, "y": 50},
{"x": 52, "y": 49},
{"x": 53, "y": 48},
{"x": 54, "y": 47},
{"x": 55, "y": 46},
{"x": 56, "y": 45},
{"x": 57, "y": 44},
{"x": 58, "y": 43},
{"x": 59, "y": 42},
{"x": 60, "y": 41},
{"x": 61, "y": 40},
{"x": 62, "y": 39},
{"x": 63, "y": 38},
{"x": 64, "y": 37},
{"x": 65, "y": 36},
{"x": 66, "y": 35},
{"x": 67, "y": 34},
{"x": 68, "y": 33},
{"x": 69, "y": 32},
{"x": 70, "y": 31},
{"x": 71, "y": 30},
{"x": 72, "y": 29},
{"x": 73, "y": 28},
{"x": 74, "y": 27},
{"x": 75, "y": 26},
{"x": 76, "y": 25},
{"x": 77, "y": 24},
{"x": 78, "y": 23},
{"x": 79, "y": 22},
{"x": 80, "y": 21},
{"x": 81, "y": 20},
{"x": 82, "y": 19},
{"x": 83, "y": 18},
{"x": 84, "y": 17},
{"x": 85, "y": 16},
{"x": 86, "y": 15},
{"x": 87, "y": 14},
{"x": 88, "y": 13},
{"x": 89, "y": 12},
{"x": 90, "y": 11},
{"x": 91, "y": 10},
{"x": 92, "y": 9},
{"x": 93, "y": 8},
{"x": 94, "y": 7},
{"x": 95, "y": 6},
{"x": 96, "y": 5},
{"x": 97, "y": 4},
{"x": 98, "y": 3},
{"x": 99, "y": 2},
{"x": 100, "y": 1},
];
const xScale = d3.scaleLinear()
.domain([d3.min(data, function(d) { return d.x; }), d3.max(data, function(d) { return d.x; }) ])
.range([0, width]);
const yScale = d3.scaleLinear()
.domain([0, d3.max(data, function(d) { return d.y; }) ])
.range([height, 0]);
const linje = d3.line()
.x(d => xScale(d.x))
.y(d => yScale(d.y))
const gLinje = svg.append("g")
const loypegenerator = gLinje.append("path")
.attr("d", linje(data))
.attr("stroke", "blue")
.attr("stroke-width", 1)
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.attr("fill", "none")
const newG = svg.append("g")
const nyLoypegenerator = newG.append("path")
.attr("d", linje(data))
.attr("stroke", "none")
.attr("stroke-width", 1)
.attr("class", "loypeprofil")
.attr("fill", "none")
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nyLoypegenerator.append("rect")
.attr("height", height)
.attr("width", width)
.attr("fill", "none")
.attr("pointer-events", "all")
.on("mousemove", () => {
const x = d3.mouse(g.node())[1];
const hoveredX = yScale.invert(x)
console.log(hoveredX)
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// Here I append the skier object
const skier = newG.append("image")
.attr("id", "skier")
.attr("href", skierIconSvg)
.attr("x", 130)
.attr("y", 150)
.attr("width", 100)
.attr("height", 100)
.call(d3
.drag()
.on('start', start)
.on('drag', dragged));
function start() {
let current = d3.select(this)
deltaX = current.attr("x") - d3.event.x;
deltaY = current.attr("y") - d3.event.y;
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function dragged() {
d3.select(this)
.attr("x", d3.mouse(newG.node())[0])
.attr("y", d3.mouse(newG.node())[1])
};

Vega-lite heatmap "transform" isn't working right

1) There's a X - coordinate and Y - coordinate. There's a Z - value. Z needs to calculate AVG.
"data": {
"values": [
{"x": 0, "y": 0, "z": 0},
{"x": 1, "y": 0, "z": 1},
{"x": 2, "y": 0, "z": 5},
{"x": 2, "y": 0, "z": 10},
{"x": 4, "y": 0, "z": 16},
{"x": 0, "y": 1, "z": 1},
{"x": 1, "y": 1, "z": 2},
{"x": 2, "y": 1, "z": 5},
{"x": 3, "y": 1, "z": 10},
{"x": 5, "y": 1, "z": 26}
]},
If the data:
"encoding": {
"x": {"field": "x", "type": "ordinal", "title": "X"},
"y": {"field": "y", "type": "ordinal", "title": "Y"} },
then AVG that's right:
Vega Editor
If I use "transform" with "groupby" :
"transform": [ {"window": [{"op": "count", "field": "x", "as": "x2"}], "groupby": ["y"]}],
"encoding": {
"x": {"field": "x2", "type": "ordinal", "title": "X"},
"y": {"field": "y", "type": "ordinal", "title": "Y"}
},
then AVG it's not true:
Vega Editor
The transform is doing exactly what you're telling it to do:
{"window": [{"op": "count", "field": "x", "as": "x2"}], "groupby": ["y"]}
It groups your data by y. Schematically it looks like this:
y=0: x: [0, 1, 2, 2, 4]
z: [0, 1, 5, 10, 16]
y=1: x: [0, 1, 2, 3, 5]
z: [1, 2, 5, 10, 26]
Then it does a sliding window and assigns the count to x2:
y=0: x: [0, 1, 2, 2, 4]
z: [0, 1, 5, 10, 16]
x2: [1, 2, 3, 4, 5]
y=1: x: [0, 1, 2, 3, 5]
z: [1, 2, 5, 10, 26]
x2: [1, 2, 3, 4, 5]
As you can see, when you create a plot of y vs x2, there is now a single z value at each location, and this is correctly reflected in the chart that you show above.
If you want different behavior, you should specify a different transform.

Vega-lite heatmap add text to a variable

"data": {
"values": [
{"x": 0, "y": 0, "z": 0},
{"x": 1, "y": 0, "z": 1},
{"x": 2, "y": 0, "z": 5},
{"x": 2, "y": 0, "z": 10},
{"x": 4, "y": 0, "z": 16},
{"x": 0, "y": 1, "z": 1},
{"x": 1, "y": 1, "z": 2},
{"x": 2, "y": 1, "z": 5},
{"x": 3, "y": 1, "z": 10},
{"x": 5, "y": 1, "z": 26}
]},
How to add text to a variable, so like "AVG:"?
Vega Editor
You can use a calculate transform to create specifically-formatted text to display in a text mark. For example (vega editor):
{
"data": {
"values": [
{"x": 0, "y": 0, "z": 0},
{"x": 1, "y": 0, "z": 1},
{"x": 2, "y": 0, "z": 5},
{"x": 2, "y": 0, "z": 10},
{"x": 4, "y": 0, "z": 16},
{"x": 0, "y": 1, "z": 1},
{"x": 1, "y": 1, "z": 2},
{"x": 2, "y": 1, "z": 5},
{"x": 3, "y": 1, "z": 10},
{"x": 5, "y": 1, "z": 26}
]
},
"transform": [
{
"aggregate": [{"op": "mean", "field": "z", "as": "z"}],
"groupby": ["x", "y"]
},
{"calculate": "'avg: ' + datum.z", "as": "z"}
],
"mark": "text",
"encoding": {
"x": {"field": "x", "type": "ordinal"},
"y": {"field": "y", "type": "ordinal"},
"text": {"field": "z", "type": "nominal"}
},
"width": 300,
"height": 100
}

D3: Efficient visualization of a complex directed acyclic graph (project dependencies)

I am currently exploring a large proprietary code base with many individual projects and interdependencies. To get a better overview, I would like to create a graphical representation of the dependencies, which are represented by a directed acyclic graph. The hope is, to finally better understand dependency clusters and (with knowledge about the individual project's contents) to aid restructuring of projects and dependencies.
Currently, I am using D3 for the visualization. Below is the full code of my current attempt (with project names replaced by a dummy). As you can see, it still looks pretty messy. Some order can be seen when hovering over project nodes.
I already looked at (but did not try out, yet) d3-dag, which might be promising but only contains examples with rather small data sets.
I also thought about something like a graph using hierarchical edge bundling, but there is not really a hierarchy here.
Does anybody have a recommendation for a better approach than the currently used force simulation layout?
<!DOCTYPE html>
<meta charset="utf-8">
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.2.2/d3.min.js"></script>
<style>
#controls {
position: fixed;
left: 0px;
width: 20%;
top: 0px;
height: 10%;
}
#chart {
position: fixed;
left: 0px;
right: 0px;
top: 0px;
bottom: 0px;
}
path.link {
fill: none;
stroke: #c5c5c5;
stroke-width: 1.0px;
}
circle {
fill: #ccc;
stroke: #fff;
stroke-width: 1.5px;
}
text {
fill: #000000;
font: 11px sans-serif;
pointer-events: none;
}
.ingoing {
stroke: #237690!important;
stroke-width: 1.5px!important;
}
.outgoing {
stroke: #FA1209!important;
stroke-width: 1.5px!important;
}
.selected {
stroke: #000000!important;
stroke-width: 1.5px!important;
}
</style>
<body>
<div id="chart"></div>
<div id="controls">
<input type="checkbox" id="cb_hierarchical" checked="True" onclick='redraw();'>Order by dependency chain<br>
<input type="checkbox" id="cb_curved" checked="True" onclick='redraw();'>Curved Lines<br>
</div>
<script>
graph = JSON.parse('{"directed": true, "graph": [], "nodes": [{"id": 0, "name": "Project", "level": 7}, {"id": 1, "name": "Project", "level": 2}, {"id": 2, "name": "Project", "level": 12}, {"id": 3, "name": "Project", "level": 12}, {"id": 4, "name": "Project", "level": 3}, {"id": 5, "name": "Project", "level": 3}, {"id": 6, "name": "Project", "level": 8}, {"id": 7, "name": "Project", "level": 9}, {"id": 8, "name": "Project", "level": 1}, {"id": 9, "name": "Project", "level": 5}, {"id": 10, "name": "Project", "level": 12}, {"id": 11, "name": "Project", "level": 8}, {"id": 12, "name": "Project", "level": 10}, {"id": 13, "name": "Project", "level": 4}, {"id": 14, "name": "Project", "level": 3}, {"id": 15, "name": "Project", "level": 6}, {"id": 16, "name": "Project", "level": 7}, {"id": 17, "name": "Project", "level": 3}, {"id": 18, "name": "Project", "level": 9}, {"id": 19, "name": "Project", "level": 9}, {"id": 20, "name": "Project", "level": 7}, {"id": 21, "name": "Project", "level": 13}, {"id": 22, "name": "Project", "level": 7}, {"id": 23, "name": "Project", "level": 8}, {"id": 24, "name": "Project", "level": 3}, {"id": 25, "name": "Project", "level": 0}, {"id": 26, "name": "Project", "level": 6}, {"id": 27, "name": "Project", "level": 7}, {"id": 28, "name": "Project", "level": 15}, {"id": 29, "name": "Project", "level": 8}, {"id": 30, "name": "Project", "level": 9}, {"id": 31, "name": "Project", "level": 3}, {"id": 32, "name": "Project", "level": 8}, {"id": 33, "name": "Project", "level": 3}, {"id": 34, "name": "Project", "level": 2}, {"id": 35, "name": "Project", "level": 12}, {"id": 36, "name": "Project", "level": 8}, {"id": 37, "name": "Project", "level": 6}, {"id": 38, "name": "Project", "level": 8}, {"id": 39, "name": "Project", "level": 8}, {"id": 40, "name": "Project", "level": 6}, {"id": 41, "name": "Project", "level": 8}, {"id": 42, "name": "Project", "level": 8}, {"id": 43, "name": "Project", "level": 5}, {"id": 44, "name": "Project", "level": 15}, {"id": 45, "name": "Project", "level": 1}, {"id": 46, "name": "Project", "level": 12}, {"id": 47, "name": "Project", "level": 8}, {"id": 48, "name": "Project", "level": 7}, {"id": 49, "name": "Project", "level": 1}, {"id": 50, "name": "Project", "level": 14}, {"id": 51, "name": "Project", "level": 1}, {"id": 52, "name": "Project", "level": 6}, {"id": 53, "name": "Project", "level": 15}, {"id": 54, "name": "Project", "level": 15}, {"id": 55, "name": "Project", "level": 9}, {"id": 56, "name": "Project", "level": 4}, {"id": 57, "name": "Project", "level": 8}, {"id": 58, "name": "Project", "level": 1}, {"id": 59, "name": "Project", "level": 1}, {"id": 60, "name": "Project", "level": 15}, {"id": 61, "name": "Project", "level": 7}, {"id": 62, "name": "Project", "level": 8}, {"id": 63, "name": "Project", "level": 7}, {"id": 64, "name": "Project", "level": 3}, {"id": 65, "name": "Project", "level": 7}, {"id": 66, "name": "Project", "level": 1}, {"id": 67, "name": "Project", "level": 14}, {"id": 68, "name": "Project", "level": 5}, {"id": 69, "name": "Project", "level": 8}, {"id": 70, "name": "Project", "level": 7}, {"id": 71, "name": "Project", "level": 7}, {"id": 72, "name": "Project", "level": 5}, {"id": 73, "name": "Project", "level": 6}, {"id": 74, "name": "Project", "level": 2}, {"id": 75, "name": "Project", "level": 7}, {"id": 76, "name": "Project", "level": 4}, {"id": 77, "name": "Project", "level": 3}, {"id": 78, "name": "Project", "level": 8}, {"id": 79, "name": "Project", "level": 4}, {"id": 80, "name": "Project", "level": 3}, {"id": 81, "name": "Project", "level": 2}, {"id": 82, "name": "Project", "level": 16}, {"id": 83, "name": "Project", "level": 13}, {"id": 84, "name": "Project", "level": 12}, {"id": 85, "name": "Project", "level": 11}, {"id": 86, "name": "Project", "level": 3}, {"id": 87, "name": "Project", "level": 9}, {"id": 88, "name": "Project", "level": 2}, {"id": 89, "name": "Project", "level": 6}, {"id": 90, "name": "Project", "level": 5}, {"id": 91, "name": "Project", "level": 3}, {"id": 92, "name": "Project", "level": 5}, {"id": 93, "name": "Project", "level": 5}, {"id": 94, "name": "Project", "level": 4}, {"id": 95, "name": "Project", "level": 1}, {"id": 96, "name": "Project", "level": 13}, {"id": 97, "name": "Project", "level": 8}, {"id": 98, "name": "Project", "level": 5}, {"id": 99, "name": "Project", "level": 4}, {"id": 100, "name": "Project", "level": 6}, {"id": 101, "name": "Project", "level": 8}, {"id": 102, "name": "Project", "level": 11}, {"id": 103, "name": "Project", "level": 5}, {"id": 104, "name": "Project", "level": 10}], "links": [{"source": 0, "target": 57}, {"source": 0, "target": 36}, {"source": 0, "target": 23}, {"source": 0, "target": 82}, {"source": 0, "target": 39}, {"source": 0, "target": 18}, {"source": 0, "target": 41}, {"source": 0, "target": 6}, {"source": 0, "target": 85}, {"source": 0, "target": 60}, {"source": 1, "target": 50}, {"source": 1, "target": 4}, {"source": 1, "target": 77}, {"source": 1, "target": 85}, {"source": 1, "target": 75}, {"source": 1, "target": 14}, {"source": 2, "target": 50}, {"source": 2, "target": 83}, {"source": 2, "target": 67}, {"source": 3, "target": 50}, {"source": 3, "target": 67}, {"source": 3, "target": 21}, {"source": 4, "target": 50}, {"source": 4, "target": 7}, {"source": 4, "target": 20}, {"source": 5, "target": 75}, {"source": 5, "target": 60}, {"source": 5, "target": 85}, {"source": 6, "target": 104}, {"source": 7, "target": 50}, {"source": 7, "target": 12}, {"source": 7, "target": 85}, {"source": 8, "target": 50}, {"source": 8, "target": 35}, {"source": 8, "target": 91}, {"source": 8, "target": 96}, {"source": 8, "target": 26}, {"source": 8, "target": 68}, {"source": 9, "target": 101}, {"source": 9, "target": 7}, {"source": 9, "target": 62}, {"source": 12, "target": 85}, {"source": 12, "target": 102}, {"source": 13, "target": 22}, {"source": 13, "target": 52}, {"source": 13, "target": 27}, {"source": 13, "target": 47}, {"source": 13, "target": 30}, {"source": 13, "target": 43}, {"source": 13, "target": 60}, {"source": 13, "target": 61}, {"source": 13, "target": 62}, {"source": 13, "target": 92}, {"source": 13, "target": 7}, {"source": 13, "target": 9}, {"source": 13, "target": 70}, {"source": 13, "target": 68}, {"source": 13, "target": 12}, {"source": 13, "target": 37}, {"source": 13, "target": 73}, {"source": 13, "target": 15}, {"source": 13, "target": 16}, {"source": 13, "target": 100}, {"source": 13, "target": 101}, {"source": 13, "target": 20}, {"source": 13, "target": 103}, {"source": 14, "target": 75}, {"source": 14, "target": 50}, {"source": 14, "target": 85}, {"source": 14, "target": 56}, {"source": 14, "target": 98}, {"source": 15, "target": 70}, {"source": 15, "target": 22}, {"source": 15, "target": 7}, {"source": 16, "target": 85}, {"source": 16, "target": 101}, {"source": 17, "target": 50}, {"source": 17, "target": 85}, {"source": 18, "target": 35}, {"source": 25, "target": 30}, {"source": 25, "target": 51}, {"source": 25, "target": 80}, {"source": 25, "target": 4}, {"source": 25, "target": 95}, {"source": 25, "target": 13}, {"source": 25, "target": 59}, {"source": 25, "target": 77}, {"source": 25, "target": 1}, {"source": 25, "target": 75}, {"source": 25, "target": 8}, {"source": 25, "target": 64}, {"source": 25, "target": 14}, {"source": 25, "target": 49}, {"source": 25, "target": 33}, {"source": 25, "target": 58}, {"source": 25, "target": 66}, {"source": 25, "target": 45}, {"source": 20, "target": 85}, {"source": 20, "target": 7}, {"source": 21, "target": 67}, {"source": 22, "target": 85}, {"source": 24, "target": 50}, {"source": 24, "target": 85}, {"source": 26, "target": 30}, {"source": 26, "target": 50}, {"source": 26, "target": 35}, {"source": 26, "target": 0}, {"source": 26, "target": 63}, {"source": 26, "target": 48}, {"source": 26, "target": 75}, {"source": 26, "target": 65}, {"source": 27, "target": 101}, {"source": 29, "target": 50}, {"source": 29, "target": 60}, {"source": 29, "target": 87}, {"source": 29, "target": 19}, {"source": 30, "target": 60}, {"source": 30, "target": 44}, {"source": 30, "target": 85}, {"source": 30, "target": 21}, {"source": 30, "target": 53}, {"source": 32, "target": 50}, {"source": 32, "target": 60}, {"source": 32, "target": 18}, {"source": 32, "target": 19}, {"source": 33, "target": 99}, {"source": 33, "target": 48}, {"source": 33, "target": 26}, {"source": 33, "target": 75}, {"source": 33, "target": 98}, {"source": 33, "target": 68}, {"source": 33, "target": 79}, {"source": 34, "target": 75}, {"source": 34, "target": 17}, {"source": 34, "target": 33}, {"source": 37, "target": 27}, {"source": 37, "target": 70}, {"source": 37, "target": 101}, {"source": 38, "target": 67}, {"source": 38, "target": 96}, {"source": 40, "target": 67}, {"source": 41, "target": 82}, {"source": 66, "target": 75}, {"source": 66, "target": 74}, {"source": 66, "target": 88}, {"source": 45, "target": 81}, {"source": 47, "target": 30}, {"source": 47, "target": 67}, {"source": 47, "target": 46}, {"source": 47, "target": 96}, {"source": 48, "target": 32}, {"source": 48, "target": 18}, {"source": 48, "target": 29}, {"source": 49, "target": 50}, {"source": 49, "target": 60}, {"source": 49, "target": 85}, {"source": 49, "target": 5}, {"source": 50, "target": 60}, {"source": 50, "target": 44}, {"source": 50, "target": 54}, {"source": 50, "target": 53}, {"source": 51, "target": 75}, {"source": 51, "target": 65}, {"source": 51, "target": 34}, {"source": 51, "target": 33}, {"source": 52, "target": 7}, {"source": 52, "target": 101}, {"source": 56, "target": 75}, {"source": 56, "target": 65}, {"source": 56, "target": 98}, {"source": 58, "target": 75}, {"source": 58, "target": 17}, {"source": 58, "target": 33}, {"source": 59, "target": 50}, {"source": 59, "target": 35}, {"source": 59, "target": 1}, {"source": 59, "target": 31}, {"source": 59, "target": 85}, {"source": 59, "target": 72}, {"source": 59, "target": 75}, {"source": 59, "target": 14}, {"source": 59, "target": 67}, {"source": 60, "target": 82}, {"source": 62, "target": 50}, {"source": 62, "target": 60}, {"source": 62, "target": 85}, {"source": 62, "target": 55}, {"source": 63, "target": 87}, {"source": 63, "target": 36}, {"source": 63, "target": 69}, {"source": 63, "target": 23}, {"source": 63, "target": 82}, {"source": 63, "target": 60}, {"source": 63, "target": 41}, {"source": 63, "target": 85}, {"source": 63, "target": 97}, {"source": 63, "target": 11}, {"source": 64, "target": 15}, {"source": 64, "target": 16}, {"source": 64, "target": 22}, {"source": 64, "target": 52}, {"source": 64, "target": 100}, {"source": 64, "target": 101}, {"source": 64, "target": 85}, {"source": 64, "target": 9}, {"source": 64, "target": 62}, {"source": 64, "target": 94}, {"source": 65, "target": 42}, {"source": 67, "target": 28}, {"source": 68, "target": 50}, {"source": 68, "target": 60}, {"source": 70, "target": 50}, {"source": 70, "target": 62}, {"source": 70, "target": 84}, {"source": 70, "target": 85}, {"source": 70, "target": 7}, {"source": 70, "target": 47}, {"source": 71, "target": 38}, {"source": 71, "target": 67}, {"source": 71, "target": 78}, {"source": 72, "target": 30}, {"source": 73, "target": 50}, {"source": 73, "target": 16}, {"source": 73, "target": 22}, {"source": 73, "target": 60}, {"source": 73, "target": 61}, {"source": 73, "target": 85}, {"source": 73, "target": 20}, {"source": 74, "target": 30}, {"source": 74, "target": 50}, {"source": 74, "target": 80}, {"source": 74, "target": 35}, {"source": 74, "target": 24}, {"source": 74, "target": 14}, {"source": 74, "target": 13}, {"source": 74, "target": 77}, {"source": 74, "target": 5}, {"source": 74, "target": 91}, {"source": 74, "target": 62}, {"source": 74, "target": 64}, {"source": 74, "target": 72}, {"source": 74, "target": 86}, {"source": 74, "target": 103}, {"source": 74, "target": 26}, {"source": 74, "target": 101}, {"source": 74, "target": 31}, {"source": 74, "target": 75}, {"source": 75, "target": 85}, {"source": 76, "target": 90}, {"source": 76, "target": 67}, {"source": 77, "target": 50}, {"source": 77, "target": 76}, {"source": 77, "target": 85}, {"source": 77, "target": 42}, {"source": 80, "target": 50}, {"source": 80, "target": 85}, {"source": 83, "target": 50}, {"source": 84, "target": 96}, {"source": 85, "target": 50}, {"source": 85, "target": 35}, {"source": 85, "target": 21}, {"source": 85, "target": 82}, {"source": 85, "target": 60}, {"source": 85, "target": 83}, {"source": 85, "target": 2}, {"source": 85, "target": 46}, {"source": 85, "target": 84}, {"source": 85, "target": 3}, {"source": 85, "target": 10}, {"source": 86, "target": 13}, {"source": 86, "target": 37}, {"source": 87, "target": 104}, {"source": 88, "target": 85}, {"source": 89, "target": 50}, {"source": 89, "target": 71}, {"source": 90, "target": 50}, {"source": 91, "target": 67}, {"source": 92, "target": 50}, {"source": 92, "target": 85}, {"source": 93, "target": 67}, {"source": 94, "target": 85}, {"source": 94, "target": 52}, {"source": 94, "target": 62}, {"source": 95, "target": 50}, {"source": 95, "target": 85}, {"source": 95, "target": 68}, {"source": 43, "target": 16}, {"source": 43, "target": 22}, {"source": 43, "target": 37}, {"source": 43, "target": 101}, {"source": 43, "target": 85}, {"source": 43, "target": 20}, {"source": 96, "target": 67}, {"source": 97, "target": 104}, {"source": 98, "target": 75}, {"source": 98, "target": 65}, {"source": 98, "target": 26}, {"source": 98, "target": 89}, {"source": 98, "target": 40}, {"source": 99, "target": 50}, {"source": 99, "target": 67}, {"source": 99, "target": 93}, {"source": 99, "target": 72}, {"source": 100, "target": 50}, {"source": 101, "target": 7}, {"source": 103, "target": 30}, {"source": 103, "target": 15}, {"source": 103, "target": 22}, {"source": 103, "target": 52}, {"source": 103, "target": 60}, {"source": 103, "target": 61}, {"source": 103, "target": 100}, {"source": 103, "target": 35}, {"source": 103, "target": 73}, {"source": 103, "target": 20}, {"source": 103, "target": 70}, {"source": 103, "target": 7}], "multigraph": false}')
var cb_hierarchical = document.getElementById("cb_hierarchical");
var cb_curved = document.getElementById("cb_curved");
var chartDiv = document.getElementById("chart");
var svg = d3.select(chartDiv).append("svg");
var linkedByIndex = {};
var num_links = {};
var num_links_incoming = {};
graph.links.forEach(function(d) {
linkedByIndex[d.source + "," + d.target] = 1;
num_links[d.target] = (num_links[d.target] != undefined ? num_links[d.target] + 1 : 1)
num_links[d.source] = (num_links[d.source] != undefined ? num_links[d.source] + 1 : 1)
num_links_incoming[d.target] = (num_links_incoming[d.target] != undefined ? num_links_incoming[d.target] + 1 : 1)
d.distance = graph.nodes[d.target].level - graph.nodes[d.source].level;
});
const maxlevel = graph.nodes.reduce(function(currentValue, node) {
return Math.max(node.level, currentValue);
}, 0);
var maxlinks = Object.values(num_links).reduce(function(currentValue, entry) {
return Math.max(entry, currentValue);
}, 0);
var white_background = svg.append("svg:defs")
.append("filter")
.attr("x", 0)
.attr("y", 0)
.attr("width", 1)
.attr("height", 1)
.attr("id", "white_background");
white_background
.append("feFlood")
.attr("flood-color", "white");
white_background
.append("feComposite")
.attr("in", "SourceGraphic")
var simulation = d3.forceSimulation(graph.nodes)
.on('tick', tick);
// add the links
var path = svg.selectAll("path")
.data(graph.links)
.enter().append("svg:path")
.attr("class", "link");
// define the nodes
var node = svg.selectAll(".node")
.data(graph.nodes)
.enter().append("g")
.attr("class", "node")
.on("mouseover", highlight(true))
.on("mouseout", highlight(false))
.call(d3.drag()
.on("start", dragstarted)
.on("drag", dragged)
.on("end", dragended));
// add the node-circles
var circle = node.append("circle")
.attr("z", 0);
// add the text to nodes
var title = node.append("text")
.attr("x", 12)
.attr("z", 5)
.attr("dy", ".35em")
.attr("filter", "url(#white_background)")
.text(function(d) {
return d.name;
});
function dragstarted(d) {
if (!d3.event.active) simulation.alphaTarget(0.3).restart()
d.fx = d.x;
d.fy = d.y;
}
function dragged(d) {
d.fx = d3.event.x;
d.fy = d3.event.y;
}
function dragended(d) {
if (!d3.event.active) simulation.alphaTarget(0);
d.fx = null;
d.fy = null;
}
function tick(e) {
var width = chartDiv.clientWidth;
var height = chartDiv.clientHeight;
node
.attr("cx", function(d) {
return d.x = Math.max(d.radius, Math.min(width - d.radius - 75, d.x));
})
.attr("cy", function(d) {
return d.y = Math.max(d.radius, Math.min(height - d.radius, d.y));
})
.attr("transform", function(d) {
return "translate(" + d.x + "," + d.y + ")";
});
path.attr("d", function(d) {
if (cb_curved.checked) {
return "M" + d.source.x + "," + d.source.y + "C" + d.target.x + "," + d.source.y + "," + d.source.x + "," + d.target.y + "," + d.target.x + "," + d.target.y;
} else {
return "M" + d.source.x + "," + d.source.y + "L" + d.target.x + "," + d.target.y;
}
});
}
function highlight(active) {
return function(d, i) {
path.classed("ingoing", function(link) {
return active && link.target === d;
});
path.classed("outgoing", function(link) {
return active && link.source === d;
});
node.classed("ingoing", function(node) {
return active && linkedByIndex[node.id + "," + d.id];
});
node.classed("outgoing", function(node) {
return active && linkedByIndex[d.id + "," + node.id];
});
node.classed("selected", function(node) {
return active && d.id === node.id;
});
circle.classed("ingoing", function(node) {
return active && linkedByIndex[node.id + "," + d.id];
});
circle.classed("outgoing", function(node) {
return active && linkedByIndex[d.id + "," + node.id];
});
circle.classed("selected", function(node) {
return active && d.id === node.id;
});
title.classed("ingoing", function(node) {
return active && linkedByIndex[node.id + "," + d.id];
});
title.classed("outgoing", function(node) {
return active && linkedByIndex[d.id + "," + node.id];
});
title.classed("selected", function(node) {
return active && d.id === node.id;
});
};
}
function redraw() {
var width = chartDiv.clientWidth;
var height = chartDiv.clientHeight;
svg.attr("width", width).attr("height", height);
const radius = 25;
const charge = 10;
const link_strength = .75;
graph.nodes.forEach(function(d) {
d.radius = radius * Math.atan((num_links[d.id] != undefined ? num_links[d.id] : 0) / maxlinks * 2 * Math.PI);
});
graph.nodes.forEach(function(d) {
d.radius_inc = radius * Math.atan((num_links_incoming[d.id] != undefined ? num_links_incoming[d.id] : 0) / maxlinks * 2 * Math.PI);
});
circle.attr('r', function(d) {
return d.radius;
});
var leveldist = width / (maxlevel + 1);
if (cb_hierarchical.checked) {
simulation
.force('x', d3.forceX()
.x(function(d) {
return (d.level + 0.5) * leveldist;
})
.strength(2.))
.force('y', d3.forceY()
.y(height / 2)
.strength(0.025));
} else {
simulation
.force('x', d3.forceX()
.x(width / 2)
.strength(0.05))
.force('y', d3.forceY()
.y(height / 2)
.strength(0.05));
}
simulation.force('link', d3.forceLink()
.links(graph.links)
.strength(function(d) {
return link_strength / d.target.radius_inc;
})
.distance(function(d) {
return d.distance * leveldist
}))
.force('charge', d3.forceManyBody()
.strength(function(d) {
return -charge * d.radius;
}))
.force('collision', d3.forceCollide()
.radius(function(d) {
return d.radius;
}))
.alphaTarget(0.3)
.restart();
}
redraw();
d3.select(window).on("resize", redraw)
</script>
</body>
</html>
Using the comments by #Coola, I extended my recent attempts with a Sankey diagram, added padding and zooming capabilities and the possibility to switch between the different visualization modes. Furthermore, I added some link drawing style, to the force simulation approach, that tries to resemble bundling of electrical wires to prevent the mess.
Posting this as an answer instead of editing the original question as the change is rather huge and contains significant progress. Hope, this is OK.
Still, things are a bit messy as you can see. Thus, I would still be happy to see more ideas.
Currently, I do have the feeling that the Hierarchical Edge bundling is best-suited for this problem. To be able to create such a graph, I introduced an artificial hierarchy indirectly via the shortest path between the main project and its dependants.
Hierarchical Edge Bundling
Force Layout
Sankey Diagram
Unfortunately, the full code is too large to be posted.
Use the networkX library, first create a networkX graph and then call the layout function, I used spectral_layout as I feel it is a better way to visualize DAGs. The layout function will return a dictionary of node names with x,y positions. I did this in python, converted the dictionary to json and passed over the json to D3.

Label only 10 N in D3 graph nodes

I have a force-directed graph in D3.js similar to this example.
With the data source for nodes having an additional key:value called connect. I only want to display node labels that have the top 10 count by the connect value. How should I go about it?
Thank you!
The associated sample data source this as below.
{
"nodes": [
{"name": "Myriel", "company": 1, "connect":10},
{"name": "Napoleon", "company": 1, "connect":1},
{"name": "Mlle.Baptistine", "company": 1, "connect":3},
{"name": "Mme.Magloire", "company": 1, "connect":3},
{"name": "CountessdeLo", "company": 1, "connect":1},
{"name": "Geborand", "company": 1, "connect":1},
{"name": "Champtercier", "company": 1, "connect":1},
{"name": "Cravatte", "company": 1, "connect":1},
{"name": "Count", "company": 1, "connect":1},
{"name": "OldMan", "company": 1, "connect":1},
{"name": "Labarre", "company": 2, "connect":1},
{"name": "Valjean", "company": 2, "connect":1},
{"name": "Marguerite", "company": 3, "connect":3},
{"name": "Mme.deR", "company": 2, "connect":1},
{"name": "Isabeau", "company": 2, "connect":1},
{"name": "Gervais", "company": 2, "connect":1},
{"name": "Tholomyes", "company": 3, "connect":1},
{"name": "Listolier", "company": 3, "connect":1},
{"name": "Fameuil", "company": 3, "connect":1},
{"name": "Blacheville", "company": 3, "connect":1},
{"name": "Favourite", "company": 3, "connect":1},
{"name": "Dahlia", "company": 3, "connect":1},
{"name": "Zephine", "company": 3, "connect":1},
{"name": "Fantine", "company": 3, "connect":1},
{"name": "Mme.Thenardier", "company": 4, "connect":1},
{"name": "Thenardier", "company": 4, "connect":1},
{"name": "Cosette", "company": 5, "connect":1},
{"name": "Javert", "company": 4, "connect":1},
{"name": "Fauchelevent", "company": 0, "connect":1},
{"name": "Bamatabois", "company": 2, "connect":1},
{"name": "Perpetue", "company": 3, "connect":1},
{"name": "Simplice", "company": 2, "connect":1},
{"name": "Scaufflaire", "company": 2, "connect":1},
{"name": "Woman1", "company": 2, "connect":1},
{"name": "Judge", "company": 2, "connect":1},
{"name": "Champmathieu", "company": 2, "connect":1},
{"name": "Brevet", "company": 2, "connect":1},
{"name": "Chenildieu", "company": 2, "connect":1},
{"name": "Cochepaille", "company": 2, "connect":1},
{"name": "Pontmercy", "company": 4, "connect":1},
{"name": "Boulatruelle", "company": 6, "connect":1},
{"name": "Eponine", "company": 4, "connect":1},
{"name": "Anzelma", "company": 4, "connect":1},
{"name": "Woman2", "company": 5, "connect":1},
{"name": "MotherInnocent", "company": 0, "connect":1},
{"name": "Gribier", "company": 0, "connect":1},
{"name": "Jondrette", "company": 7, "connect":1},
{"name": "Mme.Burgon", "company": 7, "connect":1},
{"name": "Gavroche", "company": 8, "connect":1},
{"name": "Gillenormand", "company": 5, "connect":1},
{"name": "Magnon", "company": 5, "connect":1},
{"name": "Mlle.Gillenormand", "company": 5, "connect":5},
{"name": "Mme.Pontmercy", "company": 5, "connect":1},
{"name": "Mlle.Vaubois", "company": 5, "connect":1},
{"name": "Lt.Gillenormand", "company": 5, "connect":1},
{"name": "Marius", "company": 8, "connect":1},
{"name": "BaronessT", "company": 5, "connect":1},
{"name": "Mabeuf", "company": 8, "connect":1},
{"name": "Enjolras", "company": 8, "connect":1},
{"name": "Combeferre", "company": 8, "connect":1},
{"name": "Prouvaire", "company": 8, "connect":1},
{"name": "Feuilly", "company": 8, "connect":1},
{"name": "Courfeyrac", "company": 8, "connect":1},
{"name": "Bahorel", "company": 8, "connect":1},
{"name": "Bossuet", "company": 8, "connect":1},
{"name": "Joly", "company": 8, "connect":1},
{"name": "Grantaire", "company": 8, "connect":1},
{"name": "MotherPlutarch", "company": 9, "connect":1},
{"name": "Gueulemer", "company": 4, "connect":1},
{"name": "Babet", "company": 4, "connect":1},
{"name": "Claquesous", "company": 4, "connect":1},
{"name": "Montparnasse", "company": 4, "connect":1},
{"name": "Toussaint", "company": 5, "connect":1},
{"name": "Child1", "company": 10, "connect":1},
{"name": "Child2", "company": 10, "connect":1},
{"name": "Brujon", "company": 4, "connect":1},
{"name": "Mme.Hucheloup", "company": 8, "connect":1}
],
"links": [
{"source": 1, "target": 0, "value": 1},
{"source": 2, "target": 0, "value": 8},
{"source": 3, "target": 0, "value": 10},
{"source": 3, "target": 2, "value": 6},
{"source": 4, "target": 0, "value": 1},
{"source": 5, "target": 0, "value": 1},
{"source": 6, "target": 0, "value": 1},
{"source": 7, "target": 0, "value": 1},
{"source": 8, "target": 0, "value": 2},
{"source": 9, "target": 0, "value": 1},
{"source": 11, "target": 10, "value": 1},
{"source": 11, "target": 3, "value": 3},
{"source": 11, "target": 2, "value": 3},
{"source": 11, "target": 0, "value": 5},
{"source": 12, "target": 11, "value": 1},
{"source": 13, "target": 11, "value": 1},
{"source": 14, "target": 11, "value": 1},
{"source": 15, "target": 11, "value": 1},
{"source": 17, "target": 16, "value": 4},
{"source": 18, "target": 16, "value": 4},
{"source": 18, "target": 17, "value": 4},
{"source": 19, "target": 16, "value": 4},
{"source": 19, "target": 17, "value": 4},
{"source": 19, "target": 18, "value": 4},
{"source": 20, "target": 16, "value": 3},
{"source": 20, "target": 17, "value": 3},
{"source": 20, "target": 18, "value": 3},
{"source": 20, "target": 19, "value": 4},
{"source": 21, "target": 16, "value": 3},
{"source": 21, "target": 17, "value": 3},
{"source": 21, "target": 18, "value": 3},
{"source": 21, "target": 19, "value": 3},
{"source": 21, "target": 20, "value": 5},
{"source": 22, "target": 16, "value": 3},
{"source": 22, "target": 17, "value": 3},
{"source": 22, "target": 18, "value": 3},
{"source": 22, "target": 19, "value": 3},
{"source": 22, "target": 20, "value": 4},
{"source": 22, "target": 21, "value": 4},
{"source": 23, "target": 16, "value": 3},
{"source": 23, "target": 17, "value": 3},
{"source": 23, "target": 18, "value": 3},
{"source": 23, "target": 19, "value": 3},
{"source": 23, "target": 20, "value": 4},
{"source": 23, "target": 21, "value": 4},
{"source": 23, "target": 22, "value": 4},
{"source": 23, "target": 12, "value": 2},
{"source": 23, "target": 11, "value": 9},
{"source": 24, "target": 23, "value": 2},
{"source": 24, "target": 11, "value": 7},
{"source": 25, "target": 24, "value": 13},
{"source": 25, "target": 23, "value": 1},
{"source": 25, "target": 11, "value": 12},
{"source": 26, "target": 24, "value": 4},
{"source": 26, "target": 11, "value": 31},
{"source": 26, "target": 16, "value": 1},
{"source": 26, "target": 25, "value": 1},
{"source": 27, "target": 11, "value": 17},
{"source": 27, "target": 23, "value": 5},
{"source": 27, "target": 25, "value": 5},
{"source": 27, "target": 24, "value": 1},
{"source": 27, "target": 26, "value": 1},
{"source": 28, "target": 11, "value": 8},
{"source": 28, "target": 27, "value": 1},
{"source": 29, "target": 23, "value": 1},
{"source": 29, "target": 27, "value": 1},
{"source": 29, "target": 11, "value": 2},
{"source": 30, "target": 23, "value": 1},
{"source": 31, "target": 30, "value": 2},
{"source": 31, "target": 11, "value": 3},
{"source": 31, "target": 23, "value": 2},
{"source": 31, "target": 27, "value": 1},
{"source": 32, "target": 11, "value": 1},
{"source": 33, "target": 11, "value": 2},
{"source": 33, "target": 27, "value": 1},
{"source": 34, "target": 11, "value": 3},
{"source": 34, "target": 29, "value": 2},
{"source": 35, "target": 11, "value": 3},
{"source": 35, "target": 34, "value": 3},
{"source": 35, "target": 29, "value": 2},
{"source": 36, "target": 34, "value": 2},
{"source": 36, "target": 35, "value": 2},
{"source": 36, "target": 11, "value": 2},
{"source": 36, "target": 29, "value": 1},
{"source": 37, "target": 34, "value": 2},
{"source": 37, "target": 35, "value": 2},
{"source": 37, "target": 36, "value": 2},
{"source": 37, "target": 11, "value": 2},
{"source": 37, "target": 29, "value": 1},
{"source": 38, "target": 34, "value": 2},
{"source": 38, "target": 35, "value": 2},
{"source": 38, "target": 36, "value": 2},
{"source": 38, "target": 37, "value": 2},
{"source": 38, "target": 11, "value": 2},
{"source": 38, "target": 29, "value": 1},
{"source": 39, "target": 25, "value": 1},
{"source": 40, "target": 25, "value": 1},
{"source": 41, "target": 24, "value": 2},
{"source": 41, "target": 25, "value": 3},
{"source": 42, "target": 41, "value": 2},
{"source": 42, "target": 25, "value": 2},
{"source": 42, "target": 24, "value": 1},
{"source": 43, "target": 11, "value": 3},
{"source": 43, "target": 26, "value": 1},
{"source": 43, "target": 27, "value": 1},
{"source": 44, "target": 28, "value": 3},
{"source": 44, "target": 11, "value": 1},
{"source": 45, "target": 28, "value": 2},
{"source": 47, "target": 46, "value": 1},
{"source": 48, "target": 47, "value": 2},
{"source": 48, "target": 25, "value": 1},
{"source": 48, "target": 27, "value": 1},
{"source": 48, "target": 11, "value": 1},
{"source": 49, "target": 26, "value": 3},
{"source": 49, "target": 11, "value": 2},
{"source": 50, "target": 49, "value": 1},
{"source": 50, "target": 24, "value": 1},
{"source": 51, "target": 49, "value": 9},
{"source": 51, "target": 26, "value": 2},
{"source": 51, "target": 11, "value": 2},
{"source": 52, "target": 51, "value": 1},
{"source": 52, "target": 39, "value": 1},
{"source": 53, "target": 51, "value": 1},
{"source": 54, "target": 51, "value": 2},
{"source": 54, "target": 49, "value": 1},
{"source": 54, "target": 26, "value": 1},
{"source": 55, "target": 51, "value": 6},
{"source": 55, "target": 49, "value": 12},
{"source": 55, "target": 39, "value": 1},
{"source": 55, "target": 54, "value": 1},
{"source": 55, "target": 26, "value": 21},
{"source": 55, "target": 11, "value": 19},
{"source": 55, "target": 16, "value": 1},
{"source": 55, "target": 25, "value": 2},
{"source": 55, "target": 41, "value": 5},
{"source": 55, "target": 48, "value": 4},
{"source": 56, "target": 49, "value": 1},
{"source": 56, "target": 55, "value": 1},
{"source": 57, "target": 55, "value": 1},
{"source": 57, "target": 41, "value": 1},
{"source": 57, "target": 48, "value": 1},
{"source": 58, "target": 55, "value": 7},
{"source": 58, "target": 48, "value": 7},
{"source": 58, "target": 27, "value": 6},
{"source": 58, "target": 57, "value": 1},
{"source": 58, "target": 11, "value": 4},
{"source": 59, "target": 58, "value": 15},
{"source": 59, "target": 55, "value": 5},
{"source": 59, "target": 48, "value": 6},
{"source": 59, "target": 57, "value": 2},
{"source": 60, "target": 48, "value": 1},
{"source": 60, "target": 58, "value": 4},
{"source": 60, "target": 59, "value": 2},
{"source": 61, "target": 48, "value": 2},
{"source": 61, "target": 58, "value": 6},
{"source": 61, "target": 60, "value": 2},
{"source": 61, "target": 59, "value": 5},
{"source": 61, "target": 57, "value": 1},
{"source": 61, "target": 55, "value": 1},
{"source": 62, "target": 55, "value": 9},
{"source": 62, "target": 58, "value": 17},
{"source": 62, "target": 59, "value": 13},
{"source": 62, "target": 48, "value": 7},
{"source": 62, "target": 57, "value": 2},
{"source": 62, "target": 41, "value": 1},
{"source": 62, "target": 61, "value": 6},
{"source": 62, "target": 60, "value": 3},
{"source": 63, "target": 59, "value": 5},
{"source": 63, "target": 48, "value": 5},
{"source": 63, "target": 62, "value": 6},
{"source": 63, "target": 57, "value": 2},
{"source": 63, "target": 58, "value": 4},
{"source": 63, "target": 61, "value": 3},
{"source": 63, "target": 60, "value": 2},
{"source": 63, "target": 55, "value": 1},
{"source": 64, "target": 55, "value": 5},
{"source": 64, "target": 62, "value": 12},
{"source": 64, "target": 48, "value": 5},
{"source": 64, "target": 63, "value": 4},
{"source": 64, "target": 58, "value": 10},
{"source": 64, "target": 61, "value": 6},
{"source": 64, "target": 60, "value": 2},
{"source": 64, "target": 59, "value": 9},
{"source": 64, "target": 57, "value": 1},
{"source": 64, "target": 11, "value": 1},
{"source": 65, "target": 63, "value": 5},
{"source": 65, "target": 64, "value": 7},
{"source": 65, "target": 48, "value": 3},
{"source": 65, "target": 62, "value": 5},
{"source": 65, "target": 58, "value": 5},
{"source": 65, "target": 61, "value": 5},
{"source": 65, "target": 60, "value": 2},
{"source": 65, "target": 59, "value": 5},
{"source": 65, "target": 57, "value": 1},
{"source": 65, "target": 55, "value": 2},
{"source": 66, "target": 64, "value": 3},
{"source": 66, "target": 58, "value": 3},
{"source": 66, "target": 59, "value": 1},
{"source": 66, "target": 62, "value": 2},
{"source": 66, "target": 65, "value": 2},
{"source": 66, "target": 48, "value": 1},
{"source": 66, "target": 63, "value": 1},
{"source": 66, "target": 61, "value": 1},
{"source": 66, "target": 60, "value": 1},
{"source": 67, "target": 57, "value": 3},
{"source": 68, "target": 25, "value": 5},
{"source": 68, "target": 11, "value": 1},
{"source": 68, "target": 24, "value": 1},
{"source": 68, "target": 27, "value": 1},
{"source": 68, "target": 48, "value": 1},
{"source": 68, "target": 41, "value": 1},
{"source": 69, "target": 25, "value": 6},
{"source": 69, "target": 68, "value": 6},
{"source": 69, "target": 11, "value": 1},
{"source": 69, "target": 24, "value": 1},
{"source": 69, "target": 27, "value": 2},
{"source": 69, "target": 48, "value": 1},
{"source": 69, "target": 41, "value": 1},
{"source": 70, "target": 25, "value": 4},
{"source": 70, "target": 69, "value": 4},
{"source": 70, "target": 68, "value": 4},
{"source": 70, "target": 11, "value": 1},
{"source": 70, "target": 24, "value": 1},
{"source": 70, "target": 27, "value": 1},
{"source": 70, "target": 41, "value": 1},
{"source": 70, "target": 58, "value": 1},
{"source": 71, "target": 27, "value": 1},
{"source": 71, "target": 69, "value": 2},
{"source": 71, "target": 68, "value": 2},
{"source": 71, "target": 70, "value": 2},
{"source": 71, "target": 11, "value": 1},
{"source": 71, "target": 48, "value": 1},
{"source": 71, "target": 41, "value": 1},
{"source": 71, "target": 25, "value": 1},
{"source": 72, "target": 26, "value": 2},
{"source": 72, "target": 27, "value": 1},
{"source": 72, "target": 11, "value": 1},
{"source": 73, "target": 48, "value": 2},
{"source": 74, "target": 48, "value": 2},
{"source": 74, "target": 73, "value": 3},
{"source": 75, "target": 69, "value": 3},
{"source": 75, "target": 68, "value": 3},
{"source": 75, "target": 25, "value": 3},
{"source": 75, "target": 48, "value": 1},
{"source": 75, "target": 41, "value": 1},
{"source": 75, "target": 70, "value": 1},
{"source": 75, "target": 71, "value": 1},
{"source": 76, "target": 64, "value": 1},
{"source": 76, "target": 65, "value": 1},
{"source": 76, "target": 66, "value": 1},
{"source": 76, "target": 63, "value": 1},
{"source": 76, "target": 62, "value": 1},
{"source": 76, "target": 48, "value": 1},
{"source": 76, "target": 58, "value": 1}
]
}
Here is a modified version of Mike Bostock's example which only displays labels of top 10 nodes:
var width = 960,
height = 500
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height);
var force = d3.layout.force()
.gravity(0.05)
.distance(100)
.charge(-100)
.size([width, height]);
var json = {"nodes":[{"name":"Myriel","group":1},{"name":"Napoleon","group":1},{"name":"Mlle.Baptistine","group":1},{"name":"Mme.Magloire","group":1},{"name":"CountessdeLo","group":1},{"name":"Geborand","group":1},{"name":"Champtercier","group":1},{"name":"Cravatte","group":1},{"name":"Count","group":1},{"name":"OldMan","group":1},{"name":"Labarre","group":2},{"name":"Valjean","group":2},{"name":"Marguerite","group":3},{"name":"Mme.deR","group":2},{"name":"Isabeau","group":2},{"name":"Gervais","group":2},{"name":"Tholomyes","group":3},{"name":"Listolier","group":3},{"name":"Fameuil","group":3},{"name":"Blacheville","group":3},{"name":"Favourite","group":3},{"name":"Dahlia","group":3},{"name":"Zephine","group":3},{"name":"Fantine","group":3},{"name":"Mme.Thenardier","group":4},{"name":"Thenardier","group":4},{"name":"Cosette","group":5},{"name":"Javert","group":4},{"name":"Fauchelevent","group":0},{"name":"Bamatabois","group":2},{"name":"Perpetue","group":3},{"name":"Simplice","group":2},{"name":"Scaufflaire","group":2},{"name":"Woman1","group":2},{"name":"Judge","group":2},{"name":"Champmathieu","group":2},{"name":"Brevet","group":2},{"name":"Chenildieu","group":2},{"name":"Cochepaille","group":2},{"name":"Pontmercy","group":4},{"name":"Boulatruelle","group":6},{"name":"Eponine","group":4},{"name":"Anzelma","group":4},{"name":"Woman2","group":5},{"name":"MotherInnocent","group":0},{"name":"Gribier","group":0},{"name":"Jondrette","group":7},{"name":"Mme.Burgon","group":7},{"name":"Gavroche","group":8},{"name":"Gillenormand","group":5},{"name":"Magnon","group":5},{"name":"Mlle.Gillenormand","group":5},{"name":"Mme.Pontmercy","group":5},{"name":"Mlle.Vaubois","group":5},{"name":"Lt.Gillenormand","group":5},{"name":"Marius","group":8},{"name":"BaronessT","group":5},{"name":"Mabeuf","group":8},{"name":"Enjolras","group":8},{"name":"Combeferre","group":8},{"name":"Prouvaire","group":8},{"name":"Feuilly","group":8},{"name":"Courfeyrac","group":8},{"name":"Bahorel","group":8},{"name":"Bossuet","group":8},{"name":"Joly","group":8},{"name":"Grantaire","group":8},{"name":"MotherPlutarch","group":9},{"name":"Gueulemer","group":4},{"name":"Babet","group":4},{"name":"Claquesous","group":4},{"name":"Montparnasse","group":4},{"name":"Toussaint","group":5},{"name":"Child1","group":10},{"name":"Child2","group":10},{"name":"Brujon","group":4},{"name":"Mme.Hucheloup","group":8}],"links":[{"source":1,"target":0,"value":1},{"source":2,"target":0,"value":8},{"source":3,"target":0,"value":10},{"source":3,"target":2,"value":6},{"source":4,"target":0,"value":1},{"source":5,"target":0,"value":1},{"source":6,"target":0,"value":1},{"source":7,"target":0,"value":1},{"source":8,"target":0,"value":2},{"source":9,"target":0,"value":1},{"source":11,"target":10,"value":1},{"source":11,"target":3,"value":3},{"source":11,"target":2,"value":3},{"source":11,"target":0,"value":5},{"source":12,"target":11,"value":1},{"source":13,"target":11,"value":1},{"source":14,"target":11,"value":1},{"source":15,"target":11,"value":1},{"source":17,"target":16,"value":4},{"source":18,"target":16,"value":4},{"source":18,"target":17,"value":4},{"source":19,"target":16,"value":4},{"source":19,"target":17,"value":4},{"source":19,"target":18,"value":4},{"source":20,"target":16,"value":3},{"source":20,"target":17,"value":3},{"source":20,"target":18,"value":3},{"source":20,"target":19,"value":4},{"source":21,"target":16,"value":3},{"source":21,"target":17,"value":3},{"source":21,"target":18,"value":3},{"source":21,"target":19,"value":3},{"source":21,"target":20,"value":5},{"source":22,"target":16,"value":3},{"source":22,"target":17,"value":3},{"source":22,"target":18,"value":3},{"source":22,"target":19,"value":3},{"source":22,"target":20,"value":4},{"source":22,"target":21,"value":4},{"source":23,"target":16,"value":3},{"source":23,"target":17,"value":3},{"source":23,"target":18,"value":3},{"source":23,"target":19,"value":3},{"source":23,"target":20,"value":4},{"source":23,"target":21,"value":4},{"source":23,"target":22,"value":4},{"source":23,"target":12,"value":2},{"source":23,"target":11,"value":9},{"source":24,"target":23,"value":2},{"source":24,"target":11,"value":7},{"source":25,"target":24,"value":13},{"source":25,"target":23,"value":1},{"source":25,"target":11,"value":12},{"source":26,"target":24,"value":4},{"source":26,"target":11,"value":31},{"source":26,"target":16,"value":1},{"source":26,"target":25,"value":1},{"source":27,"target":11,"value":17},{"source":27,"target":23,"value":5},{"source":27,"target":25,"value":5},{"source":27,"target":24,"value":1},{"source":27,"target":26,"value":1},{"source":28,"target":11,"value":8},{"source":28,"target":27,"value":1},{"source":29,"target":23,"value":1},{"source":29,"target":27,"value":1},{"source":29,"target":11,"value":2},{"source":30,"target":23,"value":1},{"source":31,"target":30,"value":2},{"source":31,"target":11,"value":3},{"source":31,"target":23,"value":2},{"source":31,"target":27,"value":1},{"source":32,"target":11,"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// Let's add a random "connect" value to nodes:
json.nodes = json.nodes
.map(n => { n.connect = Math.floor(Math.random() * 100) + 1; return n; })
// Let's get a list of the top 10 nodes based on the value of "connect":
// By the way, the sort would modify the nodes order of the json (which is
// important to draw the force layout) and thus we create a deep copy of the
// nodes to sort them:
var top10nodes = JSON.parse(JSON.stringify(json.nodes))
.sort( function(a, b) { return b.connect - a.connect; })
.slice(0, 9)
.map(n => n.name);
// And we include a "top10" boolean on each node to able to later filter them
// when drawing the label:
json.nodes = json.nodes.map( function(d) {
if (top10nodes.indexOf(d.name) > -1) d.top10 = true;
return d;
});
force
.nodes(json.nodes)
.links(json.links)
.start();
var link = svg.selectAll(".link")
.data(json.links)
.enter().append("line")
.attr("class", "link");
var node = svg.selectAll(".node")
.data(json.nodes)
.enter().append("g")
.attr("class", "node")
.call(force.drag);
node.append("image")
.attr("xlink:href", "https://github.com/favicon.ico")
.attr("x", -8)
.attr("y", -8)
.attr("width", 16)
.attr("height", 16);
node.filter( function(d) { return d.top10; }).append("text")
.attr("dx", 12)
.attr("dy", ".35em")
.text(function(d) { return d.name });
force.on("tick", function() {
link.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; });
node.attr("transform", function(d) { return "translate(" + d.x + "," + d.y + ")"; });
});
.link {
stroke: #ccc;
}
.node text {
pointer-events: none;
font: 10px sans-serif;
}
<script src="//d3js.org/d3.v3.min.js"></script>
The idea is to include a top10 field on each node representing the fact that the connect field of the element has its value in the top 10 biggest:
var json = {"nodes":[{"name":"Myriel","group":1},{"name":"Napoleon","group":1}, ...
// Let's add a random "connect" value to nodes to simulate your dataset:
// {nodes: [{name: "Myriel", group: 1, connect: 66}, ... :
json.nodes = json.nodes
.map(n => { n.connect = Math.floor(Math.random() * 100) + 1; return n; })
// Let's get a list of the top 10 nodes based on the value of "connect":
// By the way, the sort would modify the nodes order of the json (which is
// important to draw the force layout) and thus we create a deep copy of the
// nodes to sort them:
// ["MotherPlutarch", "Simplice", "Fantine", "Gueulemer", "CountessdeLo", "Count", "Perpetue", "Champtercier", "Mme.Pontmercy"]
var top10nodes = JSON.parse(JSON.stringify(json.nodes))
.sort( function(a, b) { return b.connect - a.connect; })
.slice(0, 9)
.map(n => n.name);
// And we include a "top10" boolean on each node to able to later filter them
// when drawing the label:
json.nodes = json.nodes.map( function(d) {
if (top10nodes.indexOf(d.name) > -1) d.top10 = true;
return d;
});
This way the in the definition of labels, we can filter only nodes for which this top10 field is true:
node.filter( function(d) { return d.top10; }).append("text")
.attr("dx", 12)
.attr("dy", ".35em")
.text(function(d) { return d.name });

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