在 d3-plunker 上渲染 d3-timeseries
rendering d3-timeseries on d3-plunker
我需要使用 link 上给出的 d3 时间序列图:
http://mcaule.github.io/d3-timeseries/
我有一些 JSON 数据,我将使用这些数据绘制此图。我正在尝试在 d3 plunker 上进行这项工作。
作为 D3 和 plunker 的新手,我不确定我是否在正确的地方编写代码,因为什么都没有发生。请指导我。
我尝试在 d3-plunker 上使用的代码:
<!DOCTYPE html>
<svg width="960" height="500"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
var data : [{date:new Date('2013-01-01'),n:120,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-02'),n:121,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-03'),n:122,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-04'),n:123,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-05'),n:124,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-06'),n:125,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-07'),n:126,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-08'),n:127,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-09'),n:128,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-10'),n:129,n3:124,ci_up:130,ci_down:118}]
var chart = d3.timeseries()
.addSerie(data.slice(0,60),{x:'date',y:'n'},{interpolate:'linear',color:"#a6cee3",label:"value"})
.addSerie(data.slice(50),
{x:'date',y:'n3',ci_up:'ci_up',ci_down:'ci_down'},
{interpolate:'monotone',dashed:true,color:"#a6cee3",label:"prediction"})
.width(900)
</script>
首先你要参考d3-timeseries:
<script src="https://mcaule.github.io/d3-timeseries/src/d3_timeseries.js"></script>
在那之后,在你的代码的最后,你必须调用它:
chart("body")
最后,请记住这不是有效的 JavaScript:
var data : [];
应该是var data = []
。
这是您的工作代码(点击"run code snippet"):
var data = [{
date: new Date('2013-01-01'),
n: 120,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-02'),
n: 121,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-03'),
n: 122,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-04'),
n: 123,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-05'),
n: 124,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-06'),
n: 125,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-07'),
n: 126,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-08'),
n: 127,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-09'),
n: 128,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-10'),
n: 129,
n3: 124,
ci_up: 130,
ci_down: 118
}]
var chart = d3.timeseries()
.addSerie(data.slice(0, 60), {
x: 'date',
y: 'n'
}, {
interpolate: 'linear',
color: "#a6cee3",
label: "value"
})
.addSerie(data.slice(50), {
x: 'date',
y: 'n3',
ci_up: 'ci_up',
ci_down: 'ci_down'
}, {
interpolate: 'monotone',
dashed: true,
color: "#a6cee3",
label: "prediction"
})
.width(900)
chart("body")
.axis line, .axis path {
fill: none;
stroke: black;
}
<script src="https://d3js.org/d3.v3.min.js"></script>
<script src="https://mcaule.github.io/d3-timeseries/src/d3_timeseries.js"></script>
我需要使用 link 上给出的 d3 时间序列图: http://mcaule.github.io/d3-timeseries/
我有一些 JSON 数据,我将使用这些数据绘制此图。我正在尝试在 d3 plunker 上进行这项工作。
作为 D3 和 plunker 的新手,我不确定我是否在正确的地方编写代码,因为什么都没有发生。请指导我。
我尝试在 d3-plunker 上使用的代码:
<!DOCTYPE html>
<svg width="960" height="500"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
var data : [{date:new Date('2013-01-01'),n:120,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-02'),n:121,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-03'),n:122,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-04'),n:123,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-05'),n:124,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-06'),n:125,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-07'),n:126,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-08'),n:127,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-09'),n:128,n3:124,ci_up:130,ci_down:118},
{date:new Date('2013-01-10'),n:129,n3:124,ci_up:130,ci_down:118}]
var chart = d3.timeseries()
.addSerie(data.slice(0,60),{x:'date',y:'n'},{interpolate:'linear',color:"#a6cee3",label:"value"})
.addSerie(data.slice(50),
{x:'date',y:'n3',ci_up:'ci_up',ci_down:'ci_down'},
{interpolate:'monotone',dashed:true,color:"#a6cee3",label:"prediction"})
.width(900)
</script>
首先你要参考d3-timeseries:
<script src="https://mcaule.github.io/d3-timeseries/src/d3_timeseries.js"></script>
在那之后,在你的代码的最后,你必须调用它:
chart("body")
最后,请记住这不是有效的 JavaScript:
var data : [];
应该是var data = []
。
这是您的工作代码(点击"run code snippet"):
var data = [{
date: new Date('2013-01-01'),
n: 120,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-02'),
n: 121,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-03'),
n: 122,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-04'),
n: 123,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-05'),
n: 124,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-06'),
n: 125,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-07'),
n: 126,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-08'),
n: 127,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-09'),
n: 128,
n3: 124,
ci_up: 130,
ci_down: 118
}, {
date: new Date('2013-01-10'),
n: 129,
n3: 124,
ci_up: 130,
ci_down: 118
}]
var chart = d3.timeseries()
.addSerie(data.slice(0, 60), {
x: 'date',
y: 'n'
}, {
interpolate: 'linear',
color: "#a6cee3",
label: "value"
})
.addSerie(data.slice(50), {
x: 'date',
y: 'n3',
ci_up: 'ci_up',
ci_down: 'ci_down'
}, {
interpolate: 'monotone',
dashed: true,
color: "#a6cee3",
label: "prediction"
})
.width(900)
chart("body")
.axis line, .axis path {
fill: none;
stroke: black;
}
<script src="https://d3js.org/d3.v3.min.js"></script>
<script src="https://mcaule.github.io/d3-timeseries/src/d3_timeseries.js"></script>