如何使直方图中的标签响应动态用户输入 [英] How to make label in histogram respond to dynamic user input
本文介绍了如何使直方图中的标签响应动态用户输入的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我有以下工作代码。它接受输入数据并根据一个阈值显示直方图。
I have the following working code. It takes the input data and display the histogram based on a threshold.
如果你运行，下面的代码，代码工作到extend
If you run, the code below, the code is working to the extend that the histogram changes as you drag the sliding bar.
但是标签 26 GENES 不会随着拖动阈值而改变
从1.5到2.我期望值更改为 30 GENES 。
这些值编码在 var input_data 中，特别是 nof_genes 。
However the label 26 GENES does not change as we drag the threshold
from 1.5 to 2. I expect the value change to 30 GENES.
These values are encoded in the var input_data especially nof_genes.
如何让它生效？
"use strict";
var histograms,
thresholds = [];
var input_data = [{
"threshold": 1.5,
"histograms": [{
"sample": "Sample1",
"nof_genes": 26,
"values": [{
"score": 6.7530200000000002,
"celltype": "Bcells"
}, {
"score": 11.432763461538459,
"celltype": "DendriticCells"
}, {
"score": 25.823089615384621,
"celltype": "Macrophages"
}, {
"score": 9.9911211538461551,
"celltype": "gdTCells"
}, {
"score": 7.817228076923076,
"celltype": "StemCells"
}, {
"score": 17.482806923076922,
"celltype": "StromalCells"
}, {
"score": 29.335427692307697,
"celltype": "Monocytes"
}, {
"score": 28.914959615384621,
"celltype": "Neutrophils"
}, {
"score": 13.818888461538467,
"celltype": "NKCells"
}, {
"score": 9.5030688461538464,
"celltype": "abTcells"
}]
}]
}, {
"threshold": 2,
"histograms": [{
"sample": "Sample1",
"nof_genes": 30,
"values": [{
"score": 5.1335499999999996,
"celltype": "Bcells"
}, {
"score": 16.076072499999999,
"celltype": "DendriticCells"
}, {
"score": 46.182032499999998,
"celltype": "Macrophages"
}, {
"score": 6.5895700000000001,
"celltype": "gdTCells"
}, {
"score": 5.3218800000000002,
"celltype": "StemCells"
}, {
"score": 53.643625,
"celltype": "StromalCells"
}, {
"score": 85.1618225,
"celltype": "Monocytes"
}, {
"score": 55.559129999999996,
"celltype": "Neutrophils"
}, {
"score": 7.6717524999999984,
"celltype": "NKCells"
}, {
"score": 6.3277800000000006,
"celltype": "abTcells"
}]
}]
}];
processData(input_data);
function processData(data) {
histograms = data[0].histograms.map(function(data) {
return {
title: data.sample,
dataset: new Plottable.Dataset(),
nofgenes: new Plottable.Dataset(),
dataByThreshold: {},
nofGenesByThreshold: {},
load_nof_genes: function (threshold) {
this.nofgenes.data(this.nofGenesByThreshold[threshold]);
},
load: function(threshold) {
this.dataset.data(this.dataByThreshold[threshold]);
}
};
});
data.forEach(function(data) {
var threshold = data.threshold;
thresholds.push(threshold);
data.histograms.forEach(function(histogram, i) {
histograms[i].dataByThreshold[threshold] = histogram.values;
histograms[i].nofGenesByThreshold[threshold] = histogram.nof_genes;
});
});
// Here we generalize the slide bar maximum threshold
$('#threshold').attr('max', thresholds.length - 1);
updateDatasets(thresholds[0]);
updateNofGenes(thresholds[0]);
buildPlots();
updateThreshold();
}
$('#threshold').change(updateThreshold);
function updateThreshold() {
// This is where the user input updating slider
// takes place and where the QTIP is in action.
var thresholdIndex = parseInt($('#threshold').val(), 10);
$("#foldchange_threshold").html(thresholds[thresholdIndex]);
updateDatasets(thresholds[thresholdIndex]);
updateNofGenes(thresholds[thresholdIndex]);
$(".tooltipped .content rect").qtip({
overwrite: true,
position: {
my: "bottom middle",
at: "top middle"
},
style: {
classes: "qtip-light"
},
content: {
text: function() {
return $(this).attr("qtip2-title");
}
}
});
}
function updateDatasets(threshold) {
histograms.forEach(function(histogram) {
histogram.load(threshold);
});
}
function updateNofGenes (threshold) {
histograms.forEach(function (histogram) {
histogram.load_nof_genes(threshold);
});
}
function buildPlots() {
var $histogramContainer = $('#sample-histograms');
histograms.forEach(function(histogram, index) {
var elementId = "sample-histogram-" + index;
$(document.createElementNS('http://www.w3.org/2000/svg', 'svg'))
.css({
width: '200px',
height: '200px',
display: 'inline-block'
})
.attr('id', elementId)
.appendTo($histogramContainer);
plotSampleHistogram(histogram.title,histogram.nofgenes, histogram.dataset, '#' + elementId);
});
}
function plotSampleHistogram(title, nof_genes, dataset, targetElement) {
var xScale = new Plottable.Scales.Category(),
yScale = new Plottable.Scales.Linear(),
colorScale = new Plottable.Scales.Color();
var gene_count = nof_genes._data.toString().concat(" genes");
var xAxis = new Plottable.Axes.Category(xScale, "bottom"),
yAxis = new Plottable.Axes.Numeric(yScale, "left"),
titleLabel = new Plottable.Components.TitleLabel(title),
nofGeneLabel = new Plottable.Components.AxisLabel(gene_count);
xAxis.tickLabelAngle(-90)
yScale.domainMin(0);
var plot = new Plottable.Plots.Bar()
.addDataset(dataset)
.x(function(d) { return d.celltype; }, xScale)
.y(function(d) { return d.score; }, yScale)
.attr("fill", function(d) { return d.celltype; }, colorScale)
.attr("qtip2-title", function(d) { return '<div class="bartip">' + d.celltype + " (" + d.score.toFixed(2) + ') </div>'; })
.addClass("tooltipped");
new Plottable.Components.Table([
[null, titleLabel],
[null, nofGeneLabel],
[yAxis, plot],
[null, xAxis]
]).renderTo(targetElement);
}
function drawHistogramLegend(targetElement) {
new Plottable.Components.Legend(colorScale)
.renderTo(targetElement);
}
<html>
<head>
<link href="https://cdnjs.cloudflare.com/ajax/libs/plottable.js/1.15.0/plottable.css" rel="stylesheet" />
<link href="https://cdnjs.cloudflare.com/ajax/libs/qtip2/2.2.1/basic/jquery.qtip.css" rel="stylesheet" />
</head>
<body>
<!-- Display the sliding bar -->
<input id="threshold" type="range" min="0" max="1" step="1" value="0" />
<br>
<!-- Show foldchange threshold -->
<div id="foldchange_threshold" style="display: inline-block; align:center;"></div>
<!-- Show histograms -->
<div id="sample-histograms"></div>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.4/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/3.10.1/lodash.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/plottable.js/1.15.0/plottable.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/qtip2/2.2.1/basic/jquery.qtip.js"></script>
</body>
</html>
推荐答案
固定代码。我改变的是直方图对象不包含作为 Dataset 的基因数量，而是保存 AxisLabel 目的。因此，更新标签仅仅意味着更新该标签的 text（）。
Here's the fixed code. What I changed was that histogram object doesn't hold the number of genes as a Dataset, but instead holds the AxisLabel object. With that, updating the label simply means updating the text() of that label.
最重要的是：
load_nof_genes: function (threshold) {
this.axisLabel.text(this.nofGenesByThreshold[threshold] + 'genes');
},
和：
new Plottable.Components.Table([
[null, titleLabel],
[null, histogram.axisLabel],
[yAxis, plot],
[null, xAxis]
]).renderTo(targetElement);
PS我也改变了一点 plotSampleHistogram 接收参数 - 而不是通过 histogram 的所有字段直接传递对象。
PS I also changed a bit how plotSampleHistogram receives the arguments - instead of going through all fields of histogram I pass the object directly.
"use strict";
var histograms,
thresholds = [];
var input_data = [{
"threshold": 1.5,
"histograms": [{
"sample": "Sample1",
"nof_genes": 26,
"values": [{
"score": 6.7530200000000002,
"celltype": "Bcells"
}, {
"score": 11.432763461538459,
"celltype": "DendriticCells"
}, {
"score": 25.823089615384621,
"celltype": "Macrophages"
}, {
"score": 9.9911211538461551,
"celltype": "gdTCells"
}, {
"score": 7.817228076923076,
"celltype": "StemCells"
}, {
"score": 17.482806923076922,
"celltype": "StromalCells"
}, {
"score": 29.335427692307697,
"celltype": "Monocytes"
}, {
"score": 28.914959615384621,
"celltype": "Neutrophils"
}, {
"score": 13.818888461538467,
"celltype": "NKCells"
}, {
"score": 9.5030688461538464,
"celltype": "abTcells"
}]
}]
}, {
"threshold": 2,
"histograms": [{
"sample": "Sample1",
"nof_genes": 30,
"values": [{
"score": 5.1335499999999996,
"celltype": "Bcells"
}, {
"score": 16.076072499999999,
"celltype": "DendriticCells"
}, {
"score": 46.182032499999998,
"celltype": "Macrophages"
}, {
"score": 6.5895700000000001,
"celltype": "gdTCells"
}, {
"score": 5.3218800000000002,
"celltype": "StemCells"
}, {
"score": 53.643625,
"celltype": "StromalCells"
}, {
"score": 85.1618225,
"celltype": "Monocytes"
}, {
"score": 55.559129999999996,
"celltype": "Neutrophils"
}, {
"score": 7.6717524999999984,
"celltype": "NKCells"
}, {
"score": 6.3277800000000006,
"celltype": "abTcells"
}]
}]
}];
processData(input_data);
function processData(data) {
histograms = data[0].histograms.map(function(data) {
return {
title: data.sample,
dataset: new Plottable.Dataset(),
axisLabel: new Plottable.Components.AxisLabel(),
dataByThreshold: {},
nofGenesByThreshold: {},
load_nof_genes: function (threshold) {
this.axisLabel.text(this.nofGenesByThreshold[threshold] + 'genes');
},
load: function(threshold) {
this.dataset.data(this.dataByThreshold[threshold]);
}
};
});
data.forEach(function(data) {
var threshold = data.threshold;
thresholds.push(threshold);
data.histograms.forEach(function(histogram, i) {
histograms[i].dataByThreshold[threshold] = histogram.values;
histograms[i].nofGenesByThreshold[threshold] = histogram.nof_genes;
});
});
// Here we generalize the slide bar maximum threshold
$('#threshold').attr('max', thresholds.length - 1);
updateDatasets(thresholds[0]);
updateNofGenes(thresholds[0]);
buildPlots();
updateThreshold();
}
$('#threshold').change(updateThreshold);
function updateThreshold() {
// This is where the user input updating slider
// takes place and where the QTIP is in action.
var thresholdIndex = parseInt($('#threshold').val(), 10);
$("#foldchange_threshold").html(thresholds[thresholdIndex]);
updateDatasets(thresholds[thresholdIndex]);
updateNofGenes(thresholds[thresholdIndex]);
$(".tooltipped .content rect").qtip({
overwrite: true,
position: {
my: "bottom middle",
at: "top middle"
},
style: {
classes: "qtip-light"
},
content: {
text: function() {
return $(this).attr("qtip2-title");
}
}
});
}
function updateDatasets(threshold) {
histograms.forEach(function(histogram) {
histogram.load(threshold);
});
}
function updateNofGenes (threshold) {
histograms.forEach(function (histogram) {
histogram.load_nof_genes(threshold);
});
}
function buildPlots() {
var $histogramContainer = $('#sample-histograms');
histograms.forEach(function(histogram, index) {
var elementId = "sample-histogram-" + index;
$(document.createElementNS('http://www.w3.org/2000/svg', 'svg'))
.css({
width: '200px',
height: '200px',
display: 'inline-block'
})
.attr('id', elementId)
.appendTo($histogramContainer);
plotSampleHistogram(histogram, '#' + elementId);
});
}
function plotSampleHistogram(histogram, targetElement) {
var xScale = new Plottable.Scales.Category(),
yScale = new Plottable.Scales.Linear(),
colorScale = new Plottable.Scales.Color();
var xAxis = new Plottable.Axes.Category(xScale, "bottom"),
yAxis = new Plottable.Axes.Numeric(yScale, "left"),
titleLabel = new Plottable.Components.TitleLabel(histogram.title);
xAxis.tickLabelAngle(-90)
yScale.domainMin(0);
var plot = new Plottable.Plots.Bar()
.addDataset(histogram.dataset)
.x(function(d) { return d.celltype; }, xScale)
.y(function(d) { return d.score; }, yScale)
.attr("fill", function(d) { return d.celltype; }, colorScale)
.attr("qtip2-title", function(d) { return '<div class="bartip">' + d.celltype + " (" + d.score.toFixed(2) + ') </div>'; })
.addClass("tooltipped");
new Plottable.Components.Table([
[null, titleLabel],
[null, histogram.axisLabel],
[yAxis, plot],
[null, xAxis]
]).renderTo(targetElement);
}
function drawHistogramLegend(targetElement) {
new Plottable.Components.Legend(colorScale)
.renderTo(targetElement);
}
<html>
<head>
<link href="https://cdnjs.cloudflare.com/ajax/libs/plottable.js/1.15.0/plottable.css" rel="stylesheet" />
<link href="https://cdnjs.cloudflare.com/ajax/libs/qtip2/2.2.1/basic/jquery.qtip.css" rel="stylesheet" />
</head>
<body>
<!-- Display the sliding bar -->
<input id="threshold" type="range" min="0" max="1" step="1" value="0" />
<br>
<!-- Show foldchange threshold -->
<div id="foldchange_threshold" style="display: inline-block; align:center;"></div>
<!-- Show histograms -->
<div id="sample-histograms"></div>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.4/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/3.10.1/lodash.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/plottable.js/1.15.0/plottable.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/qtip2/2.2.1/basic/jquery.qtip.js"></script>
</body>
</html>
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