I'm trying to create a multi-line chart based on the below csv:
storageSystem,poolId,availableVolumeCapacity,date
system01,0,18031398,20170413
system01,1,15626268,20170413
system01,2,61256286,20170413
system01,3,119514990,20170413
system02,0,15046668,20170413
system02,1,12486558,20170413
system02,2,12303396,20170413
system03,0,35171335,20170413
system03,1,17263722,20170413
system01,0,18031387,20170414
system01,1,15626257,20170414
system01,2,61256275,20170414
system01,3,119514989,20170414
system02,0,15046657,20170414
system02,1,12486547,20170414
system02,2,12303385,20170414
system03,0,35171324,20170414
system03,1,17263711,20170414
Here is the relationship table of how the data is connected:
So far I have defined my nested key as storageSystem
, but how would I set poolId
as the subkey? I have tried adding poolId
, but this returns Error: <path> attribute d: Expected number,"MNaN,NaNLNaN,NaN".
var parseDate = d3.time.format("%Y%m%d").parse;
d3.csv("ssytem.csv", function(error, data) {
if (error) {
throw error;
} else {
console.log(data);
}
data.forEach(function(d) {
d.date = parseDate(d.date);
d.availableVolumeCapacity = +d.availableVolumeCapacity;
});
x.domain(d3.extent(data, function(d) { return d.date; }));
y.domain([0, d3.max(data, function(d) { return d.availableVolumeCapacity; })]);
var dataNest = d3.nest()
.key(function(d) {return d.storageSystem; })
.key(function(d) { return d.poolId; })
.entries(data);
Data Object:
0: Object
availableVolumeCapacity: 35171324
date: Thu Apr 13 2017 00:00:00 GMT+0000 (Coordinated Universal Time)
poolId: "0"
storageSystem: "system03"
1: Object
availableVolumeCapacity: 17263711
date: Thu Apr 13 2017 00:00:00 GMT+0000 (Coordinated Universal Time)
poolId: "1"
storageSystem: "system03"
You add another key
call:
var dataNest = d3.nest()
.key(function(d) {return d.storageSystem; })
.key(function(d) {return d.poolId; })
.entries(data);
This is how dataNest
will look like:
[
{
"key": "system01",
"values": [
{
"key": "0",
"values": [
{
"storageSystem": "system01",
"poolId": "0",
"availableVolumeCapacity": "18031398",
"date": "20170413"
},
{
"storageSystem": "system01",
"poolId": "0",
"availableVolumeCapacity": "18031387",
"date": "20170414"
}
]
},
{
"key": "1",
"values": [
{
"storageSystem": "system01",
"poolId": "1",
"availableVolumeCapacity": "15626268",
"date": "20170413"
},
{
"storageSystem": "system01",
"poolId": "1",
"availableVolumeCapacity": "15626257",
"date": "20170414"
}
]
},
... and so on
Notice it has two levels so to get to an actual data object you'll need to access a grouping result member like this:
var s = `storageSystem,poolId,availableVolumeCapacity,date system01,0,18031398,20170413 system01,1,15626268,20170413 system01,2,61256286,20170413 system01,3,119514990,20170413 system02,0,15046668,20170413 system02,1,12486558,20170413 system02,2,12303396,20170413 system03,0,35171335,20170413 system03,1,17263722,20170413 system01,0,18031387,20170414 system01,1,15626257,20170414 system01,2,61256275,20170414 system01,3,119514989,20170414 system02,0,15046657,20170414 system02,1,12486547,20170414 system02,2,12303385,20170414 system03,0,35171324,20170414 system03,1,17263711,20170414`; const data = d3.csvParse(s); const dataNest = d3.nest().key(d => d.storageSystem).key(d => d.poolId).entries(data); const container = d3.select('#container'); const lists = container.selectAll('ul').data(dataNest); const listsEnter = lists.enter().append('ul').text(d => d.key) const items = lists.merge(listsEnter).selectAll('li').data(d => d.values); const itemsEnter = items.enter().append('li').text(d => `Pool: ${d.key}`) items.merge(itemsEnter).selectAll('p').data(d => d.values) .enter().append('p').text(d => `Available Capacity: ${d.availableVolumeCapacity}`)
ul { font-weight: bold; } li { font-weight: normal; margin: 10px 0; } p { font-size: 13px }
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.8.0/d3.min.js"></script> <div id="container"></div>
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.