问题描述
我有一个非常类似于和由d3j3 v3的提供的解决方案完全适用于我（测试）。但是，我在我的网站上使用d3.js v4，我有困难复制相同的方法与v4 - 我没有得到相同的结果。也许，因为我不明白 sumChildren 功能。请随时提供一个更好或不同的方法，如何使用d3.js v4在每个节点级别将负载的csv文件重组为json，并使用小计。在我的情况下，我需要在国家，州和城市级别人口。
I have a very similar task as D3.js nesting and rollup at same time and solution provided by @altocumulus for d3.js v3 works perfectly fine for me (tested). However, I am using d3.js v4 across my website and I am having difficulties replicating the same approach with v4 - I am not getting the same results. Perhaps, because I don't understand the sumChildren function. Please feel free to provide a better or different approach on how to restructure the loaded csv file as json with subtotals at every node level using d3.js v4. In my case, I need to have Population at the Country, State and the City levels.
免责声明：我已使用SO多年，在大多数情况下，我得到我的答案从其他人，但这是我的第一个问题。除此之外，我是d3.js中的noob
Disclaimer: I have been using SO for many years and in most of the cases I got my answers from questions posted by other people, but this is my first question. In addition to this I am noob in 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
b $ b
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
}
]
所需结果：
[
{
"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
}
]
推荐答案
The v4 告诉我们
The v4 changelog tells us that
这是从值到 value ，最终破坏了代码。相应地改变助手函数应该让你回到正轨：
It is this little renaming from values to value within the leaf nodes which eventually breaks the code. Changing the helper function accordingly should get you back on track:
// Recursively sum up children's values
function sumChildren(node) {
if (node.value) {
node.values = node.value; // Ensure, leaf nodes will also have a values array
delete node.value; // ...instead of a single value
}
node.Population = node.values.reduce(function(r, v) {
return r + (v.value? sumChildren(v) : v.Population);
},0);
return node.Population;
}
这篇关于D3.js在v4中同时嵌套和汇总的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！