Javascript D3.js错误:<;g>;属性转换:预期的数字;翻译(楠,楠)";
我试图用d3构建一个数据可视化,我在控制台中遇到了以下错误Javascript D3.js错误:<;g>;属性转换:预期的数字;翻译(楠,楠)";,javascript,d3.js,data-visualization,Javascript,D3.js,Data Visualization,我试图用d3构建一个数据可视化,我在控制台中遇到了以下错误 Error: <g> attribute transform: Expected number, "translate(NaN,NaN)". 任何帮助都将不胜感激 我的index.html完全相同 <!DOCTYPE html> <html> <head> <link rel="stylesheet" href="style.css
Error: <g> attribute transform: Expected number, "translate(NaN,NaN)".
任何帮助都将不胜感激
我的index.html完全相同
<!DOCTYPE html>
<html>
<head>
<link rel="stylesheet" href="style.css">
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.9/d3.js"></script>
</head>
<body>
<script src="script.js"></script>
</body>
</html>
这就是我现在的处境。我不确定为什么它不工作,因为我用相同的数据结构替换了示例。我试图删除解析器,但没有成功。我还尝试修改“transform,translate”属性
任何帮助都将不胜感激。问题表明SVG元素组(标记)的位置坐标为NaN。 我发现您的代码中可能存在问题:
.attr(“dy”,“.35em”)
尝试去掉em值并使用原始数字。
不过,我不确定它是否能解决您的问题,如果您能在控制台中发布错误及其应用的元素,我可以为您提供更多帮助。我更改了em值并使用了原始数字,但代码块引用了文本(我不太感兴趣)。-我真正想填充的是圆(节点)。解决这一问题的最好方法是追溯到有问题的行,并记录错误函数中传递的数据。你能在画圆圈的线上做一个console.log的数据记录,看看哪里失败了吗<代码>函数tick(e){node.each(cluster(10*e.alpha*e.alpha)).each(collide(.5))/.attr(“transform”,functon(d){};.attr(“transform”,函数(d){console.log(“Logging d value:”,d)var k=“translate(+d.x+”,“+d.y+”)”);返回k;})所以在“.each()之后做一个console.log我假设的行,就像这个控制台一样。log(“node”,node)是的,记录节点和关联的d值,我想你没有数千个节点,对吗?如果是的话,那么减少数量,这样更容易定位错误看起来像这样(只是顶部)。。。
<!DOCTYPE html>
<html>
<head>
<link rel="stylesheet" href="style.css">
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.9/d3.js"></script>
</head>
<body>
<script src="script.js"></script>
</body>
</html>
var width = 960,
height = 500,
padding = 1.5, // separation between same-color nodes
clusterPadding = 6, // separation between different-color nodes
maxRadius = 100;
minRadius = 1;
d3.csv("modified_data_happy.csv", function(data) {
m = d3.max(data, function(d){return d.city_index});
console.log("m", m);
color = d3.scale.category10()
.domain(d3.range(m));
clusters = new Array(m);
dataset = data.map(function(d) {
var r = parseInt(d.Happy);
// var r = d.Happy;
var dta = {
cluster: d.city_index,//group
name: d.name,//label
radius: r,//radius
x: Math.cos(d.city_index / m * 2 * Math.PI) * 100 + width / 2 + Math.random(),
y: Math.sin(d.city_index / m * 2 * Math.PI) * 100 + height / 2 + Math.random()
};
//add the one off the node inside teh cluster
if (!clusters[d.city_index] || (d.Happy > clusters[d.city_index].radius))
clusters[d.city_index] = dta;
console.log("dta", dta);
return dta;
});
console.log('dataset', dataset);
makeGraph(dataset);
});
function makeGraph(nodes) {
var force = d3.layout.force()
.nodes(nodes)
.size([width, height])
.gravity(.02)
.charge(0)
.on("tick", tick)
.start();
var svg = d3.select("body").append("svg")
.attr("width", width)
.attr("height", height);
var node = svg.selectAll("circle")
.data(nodes)
.enter().append("g").call(force.drag);
node.append("circle")
.style("fill", function(d) {
return color(d.cluster);
}).attr("r", function(d) {
return d.Happy
})
node.append("text")
.text(function(d) {
return d.name;
})
.attr("dx", -10)
.attr("dy", ".35em")
.text(function(d) {
return d.name
})
.style("stroke", "none");
function tick(e) {
node.each(cluster(10 * e.alpha * e.alpha))
.each(collide(.5))
// .attr("transform", functon(d) {});
.attr("transform", function(d) {
var k = "translate(" + d.x + "," + d.y + ")";
return k;
})
}
// Move d to be adjacent to the cluster node.
function cluster(alpha) {
return function(d) {
var cluster = clusters[d.cluster];
if (cluster === d) return;
var x = d.x - cluster.x,
y = d.y - cluster.y,
l = Math.sqrt(x * x + y * y),
r = d.Happy + cluster.radius;
if (l != r) {
l = (l - r) / l * alpha;
d.x -= x *= l;
d.y -= y *= l;
cluster.x += x;
cluster.y += y;
}
};
}
// Resolves collisions between d and all other circles.
function collide(alpha) {
var quadtree = d3.geom.quadtree(nodes);
return function(d) {
var r = d.Happy + maxRadius + Math.max(padding, clusterPadding),
nx1 = d.x - r,
nx2 = d.x + r,
ny1 = d.y - r,
ny2 = d.y + r;
quadtree.visit(function(quad, x1, y1, x2, y2) {
if (quad.point && (quad.point !== d)) {
var x = d.x - quad.point.x,
y = d.y - quad.point.y,
l = Math.sqrt(x * x + y * y),
r = d.Happy + quad.point.radius + (d.cluster === quad.point.cluster ? padding :
clusterPadding);
if (l < r) {
l = (l - r) / l * alpha;
d.x -= x *= l;
d.y -= y *= l;
quad.point.x += x;
quad.point.y += y;
}
}
return x1 > nx2 || x2 < nx1 || y1 > ny2 || y2 < ny1;
});
};
}
}
index | name | city_index | Happy -----> Header Row
0 | Joe | 3 | 60 -----> Data Row