如何填补 dc.js 系列图表中的空白?
How can I fill gaps in a dc.js series chart?
我有以下 dc.js series chart:
var data = [
{day: 1, service: 'ABC', count: 100},
{day: 2, service: 'ABC', count: 80},
{day: 4, service: 'ABC', count: 10},
{day: 7, service: 'XYZ', count: 380},
{day: 8, service: 'XYZ', count: 400}
];
var ndx = crossfilter(data);
var dim = ndx.dimension(function (d) { return [d.service, d.day]; });
var grp = dim.group().reduceSum(function(d) { return +d.count; });
var chart = dc.seriesChart('#graph')
.width(620)
.height(175)
.chart(function(c) { return dc.lineChart(c).renderArea(true);})
.dimension(dim)
.group(grp)
.seriesAccessor(function(d) { return d.key[0]; })
.keyAccessor(function(d) { return d.key[1]; })
.x(d3.scaleLinear().domain([1, 8]))
.legend(dc.legend().horizontal(true).x(80))
.render();
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/crossfilter/1.3.12/crossfilter.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.13.0/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/dc/3.0.4/dc.min.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/dc/3.0.4/dc.css"/>
<div id="graph"></div>
它按预期工作...但是由于我的数据中有 "gaps",它看起来不太好。有什么方法可以告诉 dc.js 在没有特定系列数据的点上默认为 0?
基本上,我想要这个结果,但不必为每个系列创建不同的组并自己将它们堆叠在一起:
var data = [
{day: 1, service: 'ABC', count: 100},
{day: 2, service: 'ABC', count: 80},
{day: 4, service: 'ABC', count: 10},
{day: 7, service: 'XYZ', count: 380},
{day: 8, service: 'XYZ', count: 400}
];
var ndx = crossfilter(data);
var dim = ndx.dimension(function (d) { return d.day; });
var grpABC = dim.group().reduceSum(function(d) { return d.service === 'ABC' ? +d.count : 0; });
var grpXYZ = dim.group().reduceSum(function(d) { return d.service === 'XYZ' ? +d.count : 0; });
var chart = dc.lineChart('#graph')
.width(620)
.height(175)
.dimension(dim)
.group(grpABC)
.stack(grpXYZ)
.renderArea(true)
.x(d3.scaleLinear().domain([1, 8]))
.legend(dc.legend().horizontal(true).x(80))
.render();
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/crossfilter/1.3.12/crossfilter.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.13.0/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/dc/3.0.4/dc.min.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/dc/3.0.4/dc.css"/>
<div id="graph"></div>
有什么方法可以实现与第一个示例的 seriesChart 相同的效果吗?
我见过 this question 可能相似,但他们使用的是 NVD3.js 和下划线。我们有 jQuery、d3.js 和 dc.js。
dc.js FAQ contains a section on preprocessing data. In this case, you want to ensure that any empty values are filled with zero, and ensure_group_bins
非常接近您的要求。
在这里,我对其进行了调整,将所需的 bin 作为数组而不是参数,因为我们需要大量的 bin - Cartesian product of all the services and all the days. Handily, D3v4 contains d3.cross 正是为了这个目的。
然后我们用 ensure_group_bins
制作的假组包裹我们的组,我们就开始了!
有趣的是,这暴露了之前被遮盖的有关您的数据的详细信息 - 由于折线图仅在有数据的地方绘制点,因此之前不清楚服务 ABC / 第 3 天是否为零。
function ensure_group_bins(source_group, bins) {
return {
all:function () {
var result = source_group.all().slice(0), // copy original results (we mustn't modify them)
found = {};
result.forEach(function(d) {
found[d.key] = true;
});
bins.forEach(function(d) {
if(!found[d])
result.push({key: d, value: 0});
});
return result;
}
};
};
var needed = d3.cross(['ABC', 'XYZ'], d3.range(1,8));
var data = [
{day: 1, service: 'ABC', count: 100},
{day: 2, service: 'ABC', count: 80},
{day: 4, service: 'ABC', count: 10},
{day: 7, service: 'XYZ', count: 380},
{day: 8, service: 'XYZ', count: 400}
];
var ndx = crossfilter(data);
var dim = ndx.dimension(function (d) { return [d.service, d.day]; });
var grp = dim.group().reduceSum(function(d) { return +d.count; });
grp = ensure_group_bins(grp, needed);
var chart = dc.seriesChart('#graph')
.width(620)
.height(175)
.chart(function(c) { return dc.lineChart(c).renderArea(true);})
.dimension(dim)
.group(grp)
.seriesAccessor(function(d) { return d.key[0]; })
.keyAccessor(function(d) { return d.key[1]; })
.x(d3.scaleLinear().domain([1, 8]))
.legend(dc.legend().horizontal(true).x(80))
.render();
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/crossfilter/1.3.12/crossfilter.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.13.0/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/dc/3.0.4/dc.min.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/dc/3.0.4/dc.css"/>
<div id="graph"></div>
我有以下 dc.js series chart:
var data = [
{day: 1, service: 'ABC', count: 100},
{day: 2, service: 'ABC', count: 80},
{day: 4, service: 'ABC', count: 10},
{day: 7, service: 'XYZ', count: 380},
{day: 8, service: 'XYZ', count: 400}
];
var ndx = crossfilter(data);
var dim = ndx.dimension(function (d) { return [d.service, d.day]; });
var grp = dim.group().reduceSum(function(d) { return +d.count; });
var chart = dc.seriesChart('#graph')
.width(620)
.height(175)
.chart(function(c) { return dc.lineChart(c).renderArea(true);})
.dimension(dim)
.group(grp)
.seriesAccessor(function(d) { return d.key[0]; })
.keyAccessor(function(d) { return d.key[1]; })
.x(d3.scaleLinear().domain([1, 8]))
.legend(dc.legend().horizontal(true).x(80))
.render();
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/crossfilter/1.3.12/crossfilter.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.13.0/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/dc/3.0.4/dc.min.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/dc/3.0.4/dc.css"/>
<div id="graph"></div>
它按预期工作...但是由于我的数据中有 "gaps",它看起来不太好。有什么方法可以告诉 dc.js 在没有特定系列数据的点上默认为 0?
基本上,我想要这个结果,但不必为每个系列创建不同的组并自己将它们堆叠在一起:
var data = [
{day: 1, service: 'ABC', count: 100},
{day: 2, service: 'ABC', count: 80},
{day: 4, service: 'ABC', count: 10},
{day: 7, service: 'XYZ', count: 380},
{day: 8, service: 'XYZ', count: 400}
];
var ndx = crossfilter(data);
var dim = ndx.dimension(function (d) { return d.day; });
var grpABC = dim.group().reduceSum(function(d) { return d.service === 'ABC' ? +d.count : 0; });
var grpXYZ = dim.group().reduceSum(function(d) { return d.service === 'XYZ' ? +d.count : 0; });
var chart = dc.lineChart('#graph')
.width(620)
.height(175)
.dimension(dim)
.group(grpABC)
.stack(grpXYZ)
.renderArea(true)
.x(d3.scaleLinear().domain([1, 8]))
.legend(dc.legend().horizontal(true).x(80))
.render();
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/crossfilter/1.3.12/crossfilter.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.13.0/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/dc/3.0.4/dc.min.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/dc/3.0.4/dc.css"/>
<div id="graph"></div>
有什么方法可以实现与第一个示例的 seriesChart 相同的效果吗?
我见过 this question 可能相似,但他们使用的是 NVD3.js 和下划线。我们有 jQuery、d3.js 和 dc.js。
dc.js FAQ contains a section on preprocessing data. In this case, you want to ensure that any empty values are filled with zero, and ensure_group_bins
非常接近您的要求。
在这里,我对其进行了调整,将所需的 bin 作为数组而不是参数,因为我们需要大量的 bin - Cartesian product of all the services and all the days. Handily, D3v4 contains d3.cross 正是为了这个目的。
然后我们用 ensure_group_bins
制作的假组包裹我们的组,我们就开始了!
有趣的是,这暴露了之前被遮盖的有关您的数据的详细信息 - 由于折线图仅在有数据的地方绘制点,因此之前不清楚服务 ABC / 第 3 天是否为零。
function ensure_group_bins(source_group, bins) {
return {
all:function () {
var result = source_group.all().slice(0), // copy original results (we mustn't modify them)
found = {};
result.forEach(function(d) {
found[d.key] = true;
});
bins.forEach(function(d) {
if(!found[d])
result.push({key: d, value: 0});
});
return result;
}
};
};
var needed = d3.cross(['ABC', 'XYZ'], d3.range(1,8));
var data = [
{day: 1, service: 'ABC', count: 100},
{day: 2, service: 'ABC', count: 80},
{day: 4, service: 'ABC', count: 10},
{day: 7, service: 'XYZ', count: 380},
{day: 8, service: 'XYZ', count: 400}
];
var ndx = crossfilter(data);
var dim = ndx.dimension(function (d) { return [d.service, d.day]; });
var grp = dim.group().reduceSum(function(d) { return +d.count; });
grp = ensure_group_bins(grp, needed);
var chart = dc.seriesChart('#graph')
.width(620)
.height(175)
.chart(function(c) { return dc.lineChart(c).renderArea(true);})
.dimension(dim)
.group(grp)
.seriesAccessor(function(d) { return d.key[0]; })
.keyAccessor(function(d) { return d.key[1]; })
.x(d3.scaleLinear().domain([1, 8]))
.legend(dc.legend().horizontal(true).x(80))
.render();
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/crossfilter/1.3.12/crossfilter.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.13.0/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/dc/3.0.4/dc.min.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/dc/3.0.4/dc.css"/>
<div id="graph"></div>