我正在使用C3.JS创建一个多系列折线图,方法是从提供的CSV文件中加载数据。我可以绘制图表,但是我还没有找到,如果只能绘制CSV中的某些列,我的图表将绘制所有CSV列。
我的CSV看起来像这样:
Sex,Age,L,M,S,P3,P5,P10,P25,P50,P75,P90,P95,P97
2,0,-1.298749689,34.7115617,0.046905108,31.93019666,32.25089861,32.75948527,33.65186554,34.7115617,35.85124044,36.9534983,37.65137722,38.12110271
2,0.5,-1.440271514,36.03453876,0.042999604,33.38070525,33.68743507,34.17345861,35.02508397,36.03453876,37.11806755,38.16405088,38.82535049,39.27005698
2,1.5,-1.581016348,37.97671987,0.038067862,35.48627093,35.77560367,36.23325692,37.03281566,37.97671987,38.9853304,39.95458524,40.56517149,40.97482424
2,2.5,-1.593136386,39.3801263,0.035079612,36.98550023,37.26521982,37.70685493,38.47603153,39.3801263,40.34145495,41.2606303,41.83732218,42.22321458
我只绘制以年龄为X轴的百分位数(P *列)列的行,并从绘制中排除Sex,L,M和S列。
目前我的图表看起来像这样:
一种解决方案是从CSV文件中删除列,但这是不可能的,因为我将需要其他值用于其他计算,并且我希望将所有数据保存在一个文件中。
我的C3.js代码如下所示:
var chart = c3.generate({
data: {
x: 'Age',
url: '/data/cdc/cdc_female_hcageinf.csv',
type: 'line'
},
tooltip: {
show: false
},
point: {
show: false
}
});
我不确定是否有c3.js配置或方法,或者需要javascript方法。
答案 0 :(得分:2)
受到@Armani的启发我最终做到了这一点,这是使用d3.csv函数和c3的组合,因为我没有找到使用c3 URL的方法。
d3.csv( _dataPath, function ( d ) {
var data = d;
if ( configdata.axis.x.source_units == "meses" && configdata.axis.x.units == "años" )
{
data[ configdata.axis.x.property_key ] = data[ configdata.axis.x.property_key ] / 12;
}
return data;
}, function( error, data ) {
if (!error)
{
var percentiles = [];
configdata.percentilesData.forEach( function( p ) {
percentiles.push( p.name );
});
var x_axis_label = configdata.axis.x.label + ' (' + configdata.axis.x.units + ')';
var y_axis_label = configdata.axis.y.label + ' (' + configdata.axis.y.units + ')';
var chart = c3.generate({
bindto: '#chart',
data: {
json: data,
type: 'line',
keys: {
x: configdata.axis.x.property_key,
value: percentiles
}
},
axis: {
y: {
label: y_axis_label
},
x: {
label: x_axis_label
}
},
tooltip: {
show: false
},
point: {
show: false
}
});
}
});
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
答案 1 :(得分:2)
您必须在文件的列/键
中添加过滤器d3.csv("yourfile.csv", function(csv) {
csv = csv.filter(function(key) {
return key != "Sex" && key != "L" && key != "M" && key != "S" ;
});
});