crossfilter维度不会计数

问题描述 投票:1回答:1

我有一组数据,我想在线图上为频率渲染

数据解析

var volumeChart = dc.barChart('#monthly-volume-chart');

var dateFormatSpecifier = '%Y-%m-%dT%H:%M:%S.000Z';
    var dateFormat = d3.timeFormat(dateFormatSpecifier);
    var dateFormatParser = d3.timeParse(dateFormatSpecifier);
    var numberFormat = d3.format('.2f');

    data.forEach(function (d) {
        d.dd = dateFormatParser(d.timestamp);
        d.minute = d3.timeMinute(d.dd)
        //coerce to number with a +
    });

尺寸分组

var freqByMins = ndx.dimension(function (d) {
    return d.minute;
});
var aa = freqByMins.group()
console.log(aa.all())
var freqByMinsGroup = aa.reduceCount(function (d) {
    return d.minute;
});
console.log(freqByMinsGroup.all())

看看freqByMinsGroup.all()我得到以下数据

0: {key: Thu Feb 21 2019 05:29:00 GMT+0800 (Singapore Standard Time), value: 2}
1: {key: Thu Feb 21 2019 05:30:00 GMT+0800 (Singapore Standard Time), value: 5}
2: {key: Thu Feb 21 2019 05:31:00 GMT+0800 (Singapore Standard Time), value: 6}
3: {key: Thu Feb 21 2019 05:32:00 GMT+0800 (Singapore Standard Time), value: 3}
4: {key: Thu Feb 21 2019 05:33:00 GMT+0800 (Singapore Standard Time), value: 1}
5: {key: Thu Feb 21 2019 05:34:00 GMT+0800 (Singapore Standard Time), value: 1}
6: {key: Thu Feb 21 2019 05:35:00 GMT+0800 (Singapore Standard Time), value: 3}
7: {key: Thu Feb 21 2019 05:36:00 GMT+0800 (Singapore Standard Time), value: 4}
8: {key: Thu Feb 21 2019 05:38:00 GMT+0800 (Singapore Standard Time), value: 4}
9: {key: Thu Feb 21 2019 05:39:00 GMT+0800 (Singapore Standard Time), value: 7}
length: 10

渲染图表

 volumeChart.width(960)
    .height(100)
    .margins({top: 10, right: 10, bottom: 20, left: 40})
    .dimension(freqByMins)
    .group(freqByMinsGroup)
    .transitionDuration(500)
    .elasticY(true)

    .x(d3.scaleTime().domain([new Date(2019, 2, 21, 5, 29, 0), new Date(2019, 2, 21, 5, 40, 0)]))
    .xAxis();

但是,我的交叉滤波器图表没有任何计数。

附上是一张图片

enter image description here

d3.js dc.js crossfilter
1个回答
1
投票

很难说没有一个运行的例子,因为这看起来很好

但请尝试:

.xUnits(d3.timeMinutes) // to tell the chart how many entries
.x(d3.scaleTime()) // let the chart calculate the domain
.elasticX(true)

例如,如果您自己不在新加坡时区,可能会遇到麻烦。除非您需要额外的控制,否则使用elasticX / elasticY总是更容易。

我用你的汇总数据建立了一个带有假组的dummy fiddle,并且它有效。

it's a line graph

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