Javascript dc.js-从单选按钮中选择减少功能
在过去的几周里,我在尝试创建一个简单的个人仪表板时,一直在使用dc.js 我成功地实现了一个弹出菜单,以选择我想要用于对线形图的时间维度进行分组的时间粒度,感谢社区的帮助,我成功地大幅提高了性能 现在,我尝试动态更改对分组数据执行的聚合类型(总和、平均值、模式、最小值和最大值) 我发现这非常有帮助,但是,尽管如此,我并没有完全适应我的情况,我也没有设法使它发挥作用。 根据我的理解,在这种情况下,我只需要更改值访问器函数,然后重新绘制。事实上,valueAccessor确定y轴像素的位置,因此这是它应该更改的唯一部分。 相反,当我处理组聚合中的更改时,我必须用新的分组重新设置整个图表 下面是我的代码,它导致在任何单选按钮位置(仅实现sum和svg)都不会打印任何内容 如果删除dynamic valueAccessor部分,默认的“总和”选择将正常工作 代码如下:Javascript dc.js-从单选按钮中选择减少功能,javascript,jquery,d3.js,dc.js,crossfilter,Javascript,Jquery,D3.js,Dc.js,Crossfilter,在过去的几周里,我在尝试创建一个简单的个人仪表板时,一直在使用dc.js 我成功地实现了一个弹出菜单,以选择我想要用于对线形图的时间维度进行分组的时间粒度,感谢社区的帮助,我成功地大幅提高了性能 现在,我尝试动态更改对分组数据执行的聚合类型(总和、平均值、模式、最小值和最大值) 我发现这非常有帮助,但是,尽管如此,我并没有完全适应我的情况,我也没有设法使它发挥作用。 根据我的理解,在这种情况下,我只需要更改值访问器函数,然后重新绘制。事实上,valueAccessor确定y轴像素的位置,因此这是
// Disable it or dash_reduceAvgAdd will give an error with ++p!
//'use strict';
// TODO temp dirty workaround
var selectedAggr = 'sum';
// ### Create Chart Objects
// Create chart objects associated with the container elements identified by the css selector.
// Note: It is often a good idea to have these objects accessible at the global scope so that they can be modified or
// filtered by other page controls.
var stackChart = dc.lineChart("#stack-chart");
var volumeChart = dc.barChart('#volume-chart');
// Asynchronously load the data and only when finished build the charts
queue()
.defer(d3.json, "/data")
.await(makeGraphs);
// Function to elaborate the data and build the charts
function makeGraphs(error, recordsJson) {
// Clean data
var records = recordsJson;
// Works on d3-v4 only: var dateFormat = d3.timeFormat("%Y-%m-%d %H:%M:%S");
//var dateFormat = d3.time.format("%Y-%m-%d %H:%M");
console.log(Object.prototype.toString.call(records[0].date));
// Coerce values to number and create javascript Date objects
records.forEach(function(d) {
d.date = new Date(+d.date);
d.prodPow = +d.prodPow;
d.consPow = +d.consPow;
});
// Crossfilter instance
var ndx = crossfilter(records);
// Aggregation functions
// SUM mode
//function reduceAdd(attr) { return reduceSum(function (d) { return d[attr]; }); }
function dash_reduceSumAdd(attr) { return function (p, v) { return p + +v[attr]; }; }
function dash_reduceSumSub(attr) { return function (p, v) { return p - v[attr]; }; }
function dash_reduceInit() { return 0; }
// AVG mode
function dash_reduceAvgAdd(attr) {
return function (p, v) {
++p.count;
p.sum += v[attr];
p.avg = p.sum/p.count;
return p;
};
}
function dash_reduceAvgSub(attr) {
return function (p, v) {
--p.count;
p.sum -= v[attr];
p.avg = p.count ? p.sum / p.count : 0;
return p;
}
}
function dash_reduceAvgInit() {
return function () {
return {count:0, sum:0, avg:0};
}
}
function valAccSum(d) {
return d.value;
}
function valAccAvg(d) {
return d.value.avg;
}
// Map selector to correct map-reduce functions
var aggregators = {
sum: [dash_reduceSumAdd, dash_reduceSumSub, dash_reduceInit, valAccSum],
avg: [dash_reduceAvgAdd, dash_reduceAvgSub, dash_reduceAvgInit, valAccAvg]//,
//mode: reduceMode,
//min: reduceMin,
//max: reduceMax
};
// Granularities selectable values
var granularities = {
Hours: [d3.time.hour, d3.time.hours],
Days: [d3.time.day, d3.time.days],
Weeks: [d3.time.week, d3.time.weeks],
Months: [d3.time.month, d3.time.months],
Years: [d3.time.year, d3.time.years]
};
// Assign default granularity
d3.select('#granularity').selectAll('option')
.data(Object.keys(granularities))
.enter().append('option')
.text(function(d) { return d; })
.attr('selected', function(d) { return d === 'Days' ? '' : null; });
var dateDim, consPowByHour, prodPowByHour;
// Function to build the charts from the selected granularity
function setup(aggr) {
if (dateDim) {
dateDim.dispose();
consPowByHour.dispose();
prodPowByHour.dispose();
}
var gran = granularities[d3.select('#granularity')[0][0].value];
dateDim = ndx.dimension(function (d) { return gran[0](d.date); });
consPowByHour =
dateDim
.group(function (d) { return gran[0](d); })
.reduce(aggregators[aggr][0]('consPow'), aggregators[aggr][1]('consPow'), aggregators[aggr][2]);
//consPowByHour = dateDim.group(function (d) { return granularity[0](d); }).reduceSum();
prodPowByHour =
dateDim
.group(function (d) { return gran[0](d); })
.reduce(aggregators[aggr][0]('prodPow'), aggregators[aggr][1]('prodPow'), aggregators[aggr][2]);
// Min and max dates to be used in the charts
var minDate = gran[0](dateDim.bottom(1)[0]["date"]);
var maxDate = gran[0](dateDim.top(1)[0]["date"]);
// Charts customization
stackChart
.renderArea(true)
/* Make the chart as big as the bootstrap grid by not setting ".width(960)" */
.height(350)
.transitionDuration(1500)
.margins({top: 30, right: 50, bottom: 25, left: 40})
.dimension(dateDim)
/* Grouped data to represent and label to use in the legend */
.group(consPowByHour, "Consumed Power [kW]")
/* Function to access grouped-data values in the chart */
.valueAccessor(aggregators[aggr][2])
/* x-axis range */
.x(d3.time.scale().domain([minDate, maxDate]))
.xUnits(gran[1])
/* Auto-adjust axis */
.elasticY(true)
.renderHorizontalGridLines(true)
.legend(dc.legend().x(80).y(0).itemHeight(13).gap(5))
/* When on, you can't visualize values, when off you can filter data */
.brushOn(false)
/* Add another line to the chart; pass (i) group, (ii) legend label and (iii) value accessor */
.stack(prodPowByHour, "Produced Power [kW]", aggregators[aggr][2])
/* Range chart to link the brush extent of the range with the zoom focus of the current chart. */
.rangeChart(volumeChart)
/* dc.js bug, this should be true by default to turn on visibility for reset class */
.controlsUseVisibility(true)
;
volumeChart//.width(990)
.height(60)
.margins({top: 0, right: 50, bottom: 20, left: 40})
.dimension(dateDim)
.group(consPowByHour)
.centerBar(true)
.gap(1)
.x(d3.time.scale().domain([minDate, maxDate]))
.xUnits(gran[1])
.elasticY(true)
.alwaysUseRounding(true)
/* dc.js bug, this avoids the reset and filter to remain after resetting using the brush/focus */
.on('renderlet', function (chart) {
var rangeFilter = chart.filter();
var focusFilter = chart.focusChart().filter();
if (focusFilter && !rangeFilter) {
dc.events.trigger(function () {
chart.focusChart().replaceFilter(rangeFilter);
});
}
})
;
}
// First time build charts
setup(selectedAggr);
// Render all graphs
dc.renderAll();
// Listen for changes on granularities selection
d3.select('#granularity').on('change', function() {
setup(selectedAggr);
dc.redrawAll();
});
// Listen for changes on aggregation mode selection
d3.selectAll('#select-operation input')
.on('click', function() {
stackChart.valueAccessor(aggregators[this.value][3]);
selectedAggr = this.value;
//setup(this.value);
dc.redrawAll();
});
这里有几个屏幕截图,显示了它在工作和不工作时的样子。
提前感谢,我真的不知道如何前进,因为我甚至没有从控制台得到任何错误
编辑:
以下是我的html代码:
<!DOCTYPE html>
<html>
<head>
<title>Dashboard</title>
<link rel="stylesheet" href="./static/css/bootstrap.min.css">
<link rel="stylesheet" href="./static/css/dc.css">
<link rel="stylesheet" href="./static/css/custom.css">
</head>
<body class="application">
<!-- Header bar on top -->
<div class="navbar navbar-inverse navbar-fixed-top" role="navigation">
<div class="container-fluid">
<div class="navbar-header">
<a class="navbar-brand" href="./">Dashboard</a>
</div>
</div>
</div>
<!-- Chart container page -->
<div class="container-fluid">
<!-- First row of charts (compensate on the left part the strange padding on right "trbl") -->
<div class="row" style="width:100%; padding: 0px 0px 0px 25px;">
<!-- Control Panel -->
<div class="col-sm-12">
<div class="chart-wrapper control-panel">
<div class="chart-title control-panel">
Control Panel
</div>
<div class="row">
<div class="col-sm-4">
<div class="chart-stage control-panel" style="height: 100px; border-right: 1px solid #e2e2e2;">
<div class="text-center" style="padding: 10px;">
<!--<div class="inner">-->
<strong>Granularity:</strong>
<select id="granularity" style="margin-left: 10px"></select>
<div id="select-operation" style="margin-top: 15px;">
<strong>Aggregation:</strong>
<label><input type=radio name="operation" value="sum" checked="checked" style="margin-left: 10px"> sum</label>
<label><input type=radio name="operation" value="avg"> average</label>
<label><input type=radio name="operation" value="mode"> mode</label>
<label><input type=radio name="operation" value="min"> min</label>
<label><input type=radio name="operation" value="max"> max</label>
</div>
</div>
</div>
</div>
<div class="col-sm-4">
<div class="chart-stage control-panel" style="height: 100px; border-right: 1px solid #e2e2e2;">
Test
</div>
</div>
<div class="col-sm-4">
<div class="chart-stage control-panel" style="height: 100px;">
Test
</div>
</div>
</div>
</div>
</div>
<!-- Stack Chart and its Range Chart as a single bootstrap grid -->
<div class="col-sm-12">
<div class="chart-wrapper">
<div class="chart-title">
Stack Chart
</div>
<div class="chart-stage">
<!-- Stack Chart -->
<div class="row">
<div id="stack-chart" style="width:100%;">
<a class="reset"
href="javascript:stackChart.filterAll();volumeChart.filterAll();dc.redrawAll();"
style="visibility: hidden; float: right; margin-right: 15px;">
reset chart
</a>
<span class='reset'
style='visibility: hidden; float: right; margin-right: 15px; font-style: italic;'>
Current filter: <span class='filter'></span>
</span>
<div class="clearfix"></div> <!-- Use it when using the reset class for IE -->
</div>
</div>
<!-- Range Chart -->
<div class="row">
<div id="volume-chart" style="width:100%;"></div>
<p class="muted pull-right" style="margin-right: 15px;"><i>select a time range to zoom in</i></p>
</div>
</div>
</div>
</div> <!-- End of "col-sm-12" grid -->
</div> <!-- End of first row -->
</div>
</body>
</html>
仪表板
控制面板
粒度:
聚合:
总和
平均的
模式
闵
最大值
试验
试验
堆栈图
当前筛选器:
选择要放大的时间范围
我设法解决了reduce函数的主要问题
解决方案是只使用这些reduce函数:
// Custom reduce functions
function dash_reduceAdd(p, v) {
++p.count;
p.conSum += v.consPow;
p.prodSum += v.prodPow;
p.consAvg = p.conSum/p.count;
p.prodAvg = p.prodSum/p.count;
return p;
}
function dash_reduceSub(p, v) {
--p.count;
p.conSum -= v.consPow;
p.prodSum -= v.prodPow;
p.consAvg = p.count ? p.conSum / p.count : 0;
p.prodAvg = p.count ? p.prodSum / p.count : 0;
return p;
}
function dash_reduceInit() {
return { count:0, conSum:0, prodSum:0, consAvg:0, prodAvg:0 };
}
为“stackChart”和“volumeChart”使用唯一的分组维度。像这样:
powByTime =
dateDim
.group(function (d) { return gran[0](d); })
.reduce(dash_reduceAdd, dash_reduceSub, dash_reduceInit);
stackChart.valueAccessor(function(d) { return d.value.conSum; });
// Map the selected mode to the correct valueAccessor value
var accessors = {
sum: {consPow: 'conSum', prodPow: 'prodSum'},
avg: {consPow: 'consAvg', prodPow: 'prodAvg'}
};
// Listen for changes on the aggregation mode and update the valueAccessor
d3.selectAll('#select-operation input')
.on('click', function() {
var aggrMode = this.value;
stackChart.valueAccessor(function(d) { var sel = accessors[aggrMode]['consPow']; return d.value[sel]; });
dc.redrawAll();
});
在stackChart的“建筑物”内,消费和生产的价值存取器如下所示:
powByTime =
dateDim
.group(function (d) { return gran[0](d); })
.reduce(dash_reduceAdd, dash_reduceSub, dash_reduceInit);
stackChart.valueAccessor(function(d) { return d.value.conSum; });
// Map the selected mode to the correct valueAccessor value
var accessors = {
sum: {consPow: 'conSum', prodPow: 'prodSum'},
avg: {consPow: 'consAvg', prodPow: 'prodAvg'}
};
// Listen for changes on the aggregation mode and update the valueAccessor
d3.selectAll('#select-operation input')
.on('click', function() {
var aggrMode = this.value;
stackChart.valueAccessor(function(d) { var sel = accessors[aggrMode]['consPow']; return d.value[sel]; });
dc.redrawAll();
});
这是:
stackChart.stack(powByTime, "Produced Power [kW]", function(d) { return d.value.prodSum; })
最后,在valueAccessor中选择如下:
powByTime =
dateDim
.group(function (d) { return gran[0](d); })
.reduce(dash_reduceAdd, dash_reduceSub, dash_reduceInit);
stackChart.valueAccessor(function(d) { return d.value.conSum; });
// Map the selected mode to the correct valueAccessor value
var accessors = {
sum: {consPow: 'conSum', prodPow: 'prodSum'},
avg: {consPow: 'consAvg', prodPow: 'prodAvg'}
};
// Listen for changes on the aggregation mode and update the valueAccessor
d3.selectAll('#select-operation input')
.on('click', function() {
var aggrMode = this.value;
stackChart.valueAccessor(function(d) { var sel = accessors[aggrMode]['consPow']; return d.value[sel]; });
dc.redrawAll();
});
现在这对我所问的问题有效,但如果您正在重用它(这就是我发布解决方案的原因),请注意,这会带来其他问题:
- 我无法访问/修改“.stack”层的值访问器…到目前为止,我只添加了新层
- 将鼠标悬停在图表中的某个点上时,“消耗”(基本层)的值正确,但生产(堆叠层)的值错误(它显示“消耗功率”的值)
我还没有弄清楚如何解决它们,我会打开另一个线程以备万一,或者在将来发布完整的解决方案,如果我成功的话。希望这能帮助其他人。好的,我想我找到了我的主要问题,我将很快发布解决方案。简言之,reduce函数(add、sub、init)可以封装我在执行group().reduce()时要计算的所有值,因此我可以对每个值使用一个函数来计算avg和sum…然后在valueAccessor中,我只需要指定我想要的值(p.value.avg或p.value.sum)。现在看起来很简单…为了完整起见,我通过为图表定义一个完整的标题函数来克服鼠标悬停的问题,如下所示:
var dateFormat=d3.time.format(“%a%d-%m-%Y%H:%m”);函数名(p){return'日期:'+dateFormat(p.key)+'\n'+'消耗:'+p.value.conSum+'\n'+'消耗(avg):'+p.value.consAvg+'\n'+'产生:'+p.value.prodSum+'\n'+'产生(avg):'+p.value.prodAvg;}
。我认为问题在于悬停对两个层使用相同的“p.value”。对于任何关注这一点的人,下面是Bertone的后续问题: