我有一个非常类似的任务D3.js nesting and rollup at same time和@altocumulus提供的解决方案,因为d3.js v3对我来说(测试)完美地工作。但是,我在我的网站上使用d3.js v4,并且在使用v4复制相同的方法时遇到困难 - 我没有得到相同的结果。也许,因为我不懂sumChildren函数。请随时提供更好的或不同的方法,以便如何使用d3.js v4将每个节点级别的小计重新组织为加载的csv文件。在我的情况下,我需要在国家,州和城市层面有人口。D3.js在v4中同时嵌套和汇总
免责声明:我一直在使用SO多年,在大多数情况下,我从其他人发布的问题中得到答案,但这是我的第一个问题。除了这个,我小白在d3.js
population.csv:
Country,State,City,Population
"USA","California","Los Angeles",18500000
"USA","California","San Diego",1356000
"USA","California","San Francisco",837442
"USA","Texas","Austin",885400
"USA","Texas","Dallas",1258000
"USA","Texas","Houston",2196000
的index.html:
<!DOCTYPE html>
<html>
<head>
<title> Test D3.js</title>
</head>
<!-- <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.17/d3.min.js"></script>
-->
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.4.0/d3.min.js"></script>
<body>
<script>
d3.csv("population.csv", function(error, data) {
if (error) throw error;
var nested = d3.nest()
.key(function(d) { return d.Country; })
.key(function(d) { return d.State; })
.rollup(function(cities) {
return cities.map(function(c) {
return {"City": c.City, "Population": +c.Population };
});
})
.entries(data);
// Recursively sum up children's values
function sumChildren(node) {
node.Population = node.values.reduce(function(r, v) {
return r + (v.values ? sumChildren(v) : v.Population);
},0);
return node.Population;
}
// Loop through all top level nodes in nested data,
// i.e. for all countries.
nested.forEach(function(node) {
sumChildren(node);
});
// Output. Nothing of interest below this line.
d3.select("body").append("div")
.style("font-family", "monospace")
.style("white-space", "pre")
.text(JSON.stringify(nested,null,2));
});
</script>
</body>
</html>
结果:
[
{
"key": "USA",
"values": [
{
"key": "California",
"value": [
{
"City": "Los Angeles",
"Population": 18500000
},
{
"City": "San Diego",
"Population": 1356000
},
{
"City": "San Francisco",
"Population": 837442
}
]
},
{
"key": "Texas",
"value": [
{
"City": "Austin",
"Population": 885400
},
{
"City": "Dallas",
"Population": 1258000
},
{
"City": "Houston",
"Population": 2196000
}
]
}
],
"Population": null
}
]
个
期望的结果:
[
{
"key": "USA",
"values": [
{
"key": "California",
"values": [
{
"City": "Los Angeles",
"Population": 18500000
},
{
"City": "San Diego",
"Population": 1356000
},
{
"City": "San Francisco",
"Population": 837442
}
],
"Population": 20693442
},
{
"key": "Texas",
"values": [
{
"City": "Austin",
"Population": 885400
},
{
"City": "Dallas",
"Population": 1258000
},
{
"City": "Houston",
"Population": 2196000
}
],
"Population": 4339400
}
],
"Population": 25032842
}
]