使用underscorejs和d3数据进行筛选

我想将我的键值对数组筛选为两组，并为每组绘制折线图。我使用underscore.js来过滤数据。我正在使用d3.js绘制折线图。当我在D3中添加spectrum1Data作为数据对象时，它不绘制折线图 - 有人可以看下面的代码，让我知道我缺少什么吗？使用underscorejs和d3数据进行筛选

我的数据是像如下

spectrum_data = [ 
    { 
     "SpectrumName": "Spectrum1", 
     "Mass": "27.19", 
     "Intensity": "20.2" 
    }, 
    { 
     "SpectrumName": "Spectrum1", 
     "Mass": "11.39", 
     "Intensity": "10.7" 
    }, 
    { 
     "SpectrumName": "Spectrum2", 
     "key": "value", 
     "Intensity": "12.9" 
    }, 
    { 
     "SpectrumName": "Spectrum2", 
     "Mass": "21.83", 
     "Intensity": "30.9" 
    }];

下划线JS函数来对频谱1过滤数据如下所示。

var spectrum1Data = _(spectrum_data).chain() 
     .filter(function(x){ return x.SpectrumName=="Spectrum1"}).value()[0];

的d3.js函数画一条线是如下

var line = d3.svg.line() 
    .interpolate("cardinal") 
    .x(function(d) {//console.log(xScale(parseInt(d.Mass))); 
     return xScale(d.Mass); }) 
    .y(function(d) {//console.log(xScale(d.Intensity)); 
     return yScale(d.Intensity); }); 

focus.append("path") 
    .datum(spectrum1Data) 
    .attr("class", "line") 
    .attr("d", line)

来源

2015-08-14 somename

<!DOCTYPE html> 
<meta charset="utf-8"> 
<style> 

svg { 
    font: 10px sans-serif; 
} 

.axis path, 
.axis line { 
    fill: none; 
    stroke: #000; 
    shape-rendering: crispEdges; 
} 

.x.axis path { 
    fill:none; 
    stroke:#000; 
    shape-rendering: crispEdges; 
} 

.line { 
    fill: none; 
    stroke-width: 1.5px; 
} 

</style> 
<body> 
<script src="http://d3js.org/d3.v3.js"></script> 
<script> 

var spectrum_data = [ 
    { 
     "SpectrumName": "Spectrum1", 
     "Mass": "27.19", 
     "Intensity": "20.2" 
    }, 
    { 
     "SpectrumName": "Spectrum1", 
     "Mass": "11.39", 
     "Intensity": "10.7" 
    }, 
    { 
     "SpectrumName": "Spectrum2", 
     "Mass": "30", 
     "Intensity": "12.9" 
    }, 
    { 
     "SpectrumName": "Spectrum2", 
     "Mass": "21.83", 
     "Intensity": "30.9" 
    }]; 
var margin = {top: 20, right: 80, bottom: 30, left: 50}, 
    width = 900 - margin.left - margin.right, 
    height = 500 - margin.top - margin.bottom; 


var x = d3.scale.linear() 
    .range([0,width]); 

var y = d3.scale.linear() 
    .range([height,0]); 

var color = d3.scale.category10(); 

var xAxis = d3.svg.axis() 
    .scale(x) 
    .orient("bottom"); 

var yAxis = d3.svg.axis() 
    .scale(y) 
    .orient("left"); 

var line = d3.svg.line() 
    .interpolate("cardinal") 
    .x(function(d) { return x(d.Intensity); }) 
    .y(function(d) { return y(d.Mass); }); 

var svg = d3.select("body").append("svg") 
    .attr("width", width + margin.left + margin.right) 
    .attr("height", height + margin.top + margin.bottom) 
    .append("g") 
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")"); 

    color.domain(d3.keys(spectrum_data[0]).filter(function(key) { return key == "SpectrumName"; })); 

    //filter data based on spectrumname 
    var nested_data = d3.nest().key(function(d) { return d.SpectrumName; }).entries(spectrum_data); 

    console.log(nested_data); 

    x.domain([d3.min(nested_data, function(d) { return d3.min(d.values, function (d) { return d.Intensity; }); }), 
      d3.max(nested_data, function(d) { return d3.max(d.values, function (d) { return d.Intensity; }); })]); 
    y.domain([0, d3.max(nested_data, function(d) { return d3.max(d.values, function (d) { return d.Mass; }); })]); 


    svg.append("g") 
     .attr("class", "x axis") 
     .attr("transform", "translate(0," + height + ")") 
     .call(xAxis); 

    svg.append("g") 
     .attr("class", "y axis") 
     .call(yAxis); 

    var Spectrum = svg.selectAll(".spectrum") 
     .data(nested_data, function(d) { return d.key; }) 
    .enter().append("g") 
     .attr("class", "spectrum"); 

    Spectrum.append("path") 
     .attr("class", "line") 
     .attr("d", function(d) { return line(d.values); }) 
     .style("stroke", function(d) { return color(d.key); }); 

</script>

而不是使用underscore.js，您可以使用d3.js的d3.nest（）为过滤。这是您的数据绘图折线图的代码。

来源

2015-08-14 00:45:16

谢谢。我正在使用画笔和上下文。查看此链接（http://plnkr.co/edit/gdQOg35LRYuYNXWSi3hK?p=preview）了解工作原型。 – somename

使用underscorejs和d3数据进行筛选

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