Reputation: 1315
I have a dataset like this:
const dataset = [
{ 'color': 'red', 'data': [{ x: 0, y: 600 }, { x: 2, y: 900 }, { x: 4, y: 650 }, { x: 6, y: 700 }, { x: 9, y: 600 }] },
{ 'color': 'blue', 'data': [{ x: 0, y: 400 }, { x: 2, y: 300 }, { x: 4, y: 450 }, { x: 6, y: 900 }, { x: 9, y: 400 }] },
{ 'color': 'yellow', 'data': [{ x: 0, y: 200 }, { x: 2, y: 100 }, { x: 4, y: 550 }, { x: 6, y: 600 }, { x: 9, y: 400 }] }
];
I want to find domain values for max and min x-axis. I try this code but it doesn't work:
.domain([d3.min(arrangedata, (array) => array.x), d3.max(arrangedata, (array) => array.x)])
I also tried d3.extend
, but I couldn't handle it. Any idea ?
Upvotes: 2
Views: 41
Reputation: 102188
For using either d3.max/min
or d3.extent
, you have to merge the inner arrays, which you can do with Array.prototype.reduce
. Then, specify the x
property in the accessor.
All together, it's just this:
const extent = d3.extent(dataset.reduce((a, c) => a.concat(c.data), []), d => d.x);
Here is the demo:
const dataset = [{
'color': 'red',
'data': [{
x: 0,
y: 600
}, {
x: 2,
y: 900
}, {
x: 4,
y: 650
}, {
x: 6,
y: 700
}, {
x: 9,
y: 600
}]
},
{
'color': 'blue',
'data': [{
x: 0,
y: 400
}, {
x: 2,
y: 300
}, {
x: 4,
y: 450
}, {
x: 6,
y: 900
}, {
x: 9,
y: 400
}]
},
{
'color': 'yellow',
'data': [{
x: 0,
y: 200
}, {
x: 2,
y: 100
}, {
x: 4,
y: 550
}, {
x: 6,
y: 600
}, {
x: 9,
y: 400
}]
}
];
const extent = d3.extent(dataset.reduce((a, c) => a.concat(c.data), []), d => d.x);
console.log(extent)
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>
Upvotes: 1
Reputation: 48640
You can try applying Math.
min
/max
to the mapped series data.
d3.minValue = function(dataset, field) {
return d3.min(dataset, series => Math.min.apply(Math, series.data.map(data => data[field])))
}
d3.maxValue = function(dataset, field) {
return d3.max(dataset, series => Math.max.apply(Math, series.data.map(data => data[field])))
}
const dataset = [{
'color': 'red',
'data': [{ x: 0, y: 600 }, { x: 2, y: 900 }, { x: 4, y: 650 }, { x: 6, y: 700 }, { x: 9, y: 600 }]
}, {
'color': 'blue',
'data': [{ x: 0, y: 400 }, { x: 2, y: 300 }, { x: 4, y: 450 }, { x: 6, y: 900 }, { x: 9, y: 400 }]
}, {
'color': 'yellow',
'data': [{ x: 0, y: 200 }, { x: 2, y: 100 }, { x: 4, y: 550 }, { x: 6, y: 600 }, { x: 9, y: 400 }]
}]
//let domain = d3.domain([ d3.minValue(dataset, 'x'), d3.maxValue(dataset, 'x') ])
console.log(d3.minValue(dataset, 'x'), d3.maxValue(dataset, 'x')) // 0, 9
console.log(d3.minValue(dataset, 'y'), d3.maxValue(dataset, 'y')) // 100, 900
.as-console-wrapper { top: 0; max-height: 100% !important; }
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>
Upvotes: 0