在 d3.js 條形圖的 Y 軸上獲取 NaN。
問題與
var margin = {top: 50, right: 135, bottom: 70, left: 80},
width = 1050 - margin.left - margin.right,
height = 540 - margin.top - margin.bottom;
var svg = d3.select("#domains")
.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 ")");
//const data = [{"Domain":"Knowledge","Knowledge":0},{"Domain":"Problem Solving","problem_solving":0},{"Domain":"Skill","skill":0},{"Domain":"Transferable","transferable":100}];
d3.json("json/domains.json", function(error, data) {
const normalized = data.map(item => {
const name = item['Domain'];
const attr = name.toLowerCase().replace(' ', '_');
const value = item[attr];
return {name, value};
});
console.log('N: ', normalized);
/*
// Transpose the data into layers
var dataset = d3.layout.stack()(["Knowledge", "Problem Solving, Skill, Transferable"].map(function(lvl) {
return data.map(function(d) {
return {
x: d.Domain,
y: d[lvl]
};
});
}));
var disciplines = d3.nest()
.key(function(d){return d.Domain})
.rollup(function(leaves){
return d3.sum(leaves, function(d) {return d3.sum(d3.values(d))});
})
.entries(data);
*/
// Set x, y and colors
var x = d3.scale.ordinal()
.domain(normalized.map(item => item.name))
.rangeRoundBands([10, width-10], 0.35, 0);
const maxValue = normalized.reduce((max, item) => Math.max(max, item.value), 0);
var y = d3.scale.linear()
.domain([0, maxValue])
.range([height, 0]);
var colors = ["#83d1c4", "#f17950", "#838BD1", "#F150BE"];
// Define and draw axes
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(5)
.tickSize(-width, 0, 0)
.tickFormat(function(d) {
return d;
});
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.outerTickSize(0)
d3.select('.y axis .tick:first-child').remove();
/*
var tip = d3.tip()
.attr('class', 'd3-tip')
.offset([-0, 0])
.html(function(d) {
return d.y '%';
})
svg.call(tip);
*/
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(0,0)")
.call(yAxis);
svg.append("g")
.call(xAxis)
.attr("class", "x axis")
.attr("transform", "translate(0," height ")")
.call(xAxis);
svg.append("text")
.attr("x", 390 )
.attr("y", 480 )
.style("text-anchor", "middle")
.text("Domains");
svg.append("text")
.attr("x", -200 )
.attr("y", -40 )
.attr("transform", "rotate(-90)" )
.attr('style', 'font-size:12px')
.style("text-anchor", "middle")
.text("Percentage of Learning Events");
// Create groups for each series, rects for each segment
var groups = svg.selectAll("g.group")
.data(normalized)
.enter().append("g")
.attr("class", "group")
.style("fill", function(d, i) { return colors[i]; });
groups.append("rect")
.attr("y", function(d) { return y(d.value); })
.attr("x", d => x(d.name))
.attr("height", function(d) { return y(0) - y(d.value); })
.attr('class', 'segment')
.attr("width", x.rangeBand())
// .on('mouseover', tip.show)
// .on('mouseout', tip.hide);
columns = svg.append("g")
.selectAll("text")
.data(normalized)
.enter().append("text")
.attr("x", function(d){
return x(d.name) x.rangeBand()/2
})
.attr("y", function (d) {
return y(d.value);
})
.attr("dy", "-0.7em")
.attr('style', 'font-size:11px')
.text( function (d){
return d3.format(".2f")(d.value) '%';
})
.style({fill: 'black', "text-anchor": "middle"});
});
帶有靜態資料的圖表:

uj5u.com熱心網友回復:
盡管您的資料集有錯字,但如果您在 json 輸出中有相同的設定,則可能會破壞您當前的設定。我們無法確定示例中是否沒有從實際的 json 回應中提供資料,這可能與您的const data示例中的不同
const data = [{"Domain":"Knowledge","Knowledge":0},{"Domain":"Problem Solving","problem_solving":0},{"Domain":"Skill","skill":0},{"Domain":"Transferable","transferable":100}];
嘗試lowercase "knowledge":0在我的螢屏上正確列印圖表
https://jsfiddle.net/978ync63/
轉載請註明出處,本文鏈接:https://www.uj5u.com/qukuanlian/506791.html
標籤:javascript d3.js
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