我有一个从CSV读取的堆积面积图。但是它不能正确渲染x轴和图形。
我试图更改x轴值，但没有帮助。
以下是示例CSV文件。
当前，该视图显示y轴值，右侧显示药物名称，但不显示实际堆积图或日期x轴值。
到目前为止return x（d.data.date）=返回NaN。
非常感谢你的帮助！
date,drug,market_share
2016-01-01,insulin lispro,.01
2016-01-01,alogliptin,0.001323754341
2016-01-01,sitagliptin,.01
2016-01-01,canagliflozin,0.02842158621
2016-01-01,glimepiride,0.05668845799
2016-01-01,repaglinide,0.0005768749342
2016-01-01,insulin glargine,.01
2016-01-01,metformin,0.4972895171
2016-01-01,mifepristone,.02
2016-01-01,exenatide,.02
2016-01-01,bromocriptine,0.0002109506723
2016-01-01,pioglitazone,0.02324500184
2016-01-01,metformin hydrochloride,0.392074889
2016-02-01,saxagliptin,.02
2016-02-01,pioglitazone,0.02247815103
2016-02-01,exenatide,0.03
2016-02-01,repaglinide,0.0006204220565
2016-02-01,metformin hydrochloride,0.394153624
2016-02-01,sitagliptin,.08
2016-02-01,insulin lispro,.05
2016-02-01,canagliflozin,0.02907988245
2016-02-01,metformin,0.4933502396
2016-02-01,insulin glargine,.02
2016-02-01,bromocriptine,0.0002076549233
2016-02-01,mifepristone,.02
2016-02-01,alogliptin,0.001364306972
2016-02-01,glimepiride,0.05857620484
2016-03-01,canagliflozin,0.02908102306
2016-03-01,bromocriptine,0.000195238081
2016-03-01,metformin,0.4966376769
2016-03-01,alogliptin,0.00133532899
2016-03-01,insulin glargine,.03
2016-03-01,sitagliptin,.04
<!DOCTYPE html>
<meta charset="utf-8">
<body>
<div id="div1"></div>
<div id="div2"></div>
</body>
<script src="https://d3js.org/d3.v4.js"></script>
<script>
var parseDate = d3.timeParse("%Y-%m-%d");
function type2(d, i, columns) {
d.date = parseDate(d.date);
return d;
}
function type(d, i, columns) {
d.date = parseDate(d.date);
for (var i = 1, n = columns.length; i < n; ++i) d[columns[i]] = d[columns[i]] / 100;
return d;
}
function drawGraph(error, data, selector, width, height) {
console.log("DATA "+selector+JSON.stringify(data));
console.log("COL "+selector+"---"+data.columns);
var svg = d3.select(selector).append("svg")
.attr("width", width)
.attr("height", height),
margin = {top: 20, right: 20, bottom: 30, left: 50},
width = svg.attr("width") - margin.left - margin.right,
height = svg.attr("height") - margin.top - margin.bottom;
var x = d3.scaleTime().range([0, width]),
y = d3.scaleLinear().range([height, 0]),
z = d3.scaleOrdinal(d3.schemeCategory10);
var stack = d3.stack();
var area = d3.area()
.x(function (d, i) {
return x(d.data.date);
})
.y0(function (d) {
return y(d[0]);
})
.y1(function (d) {
return y(d[1]);
});
var g = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var keys = data.columns.slice(1);
x.domain(d3.extent(data, function (d) {
return d.date;
}));
z.domain(keys);
stack.keys(keys);
console.log("Stacked Data "+ selector+"---" + JSON.stringify(stack(data)));
var layer = g.selectAll(".layer")
.data(stack(data))
.enter().append("g")
.attr("class", "layer");
layer.append("path")
.attr("class", "area")
.style("fill", function (d) {
return z(d.key);
})
.attr("d", area);
layer.filter(function (d) {
return d[d.length - 1][1] - d[d.length - 1][0] > 0.01;
})
.append("text")
.attr("x", width - 6)
.attr("y", function (d) {
return y((d[d.length - 1][0] + d[d.length - 1][1]) / 2);
})
.attr("dy", ".35em")
.style("font", "10px sans-serif")
.style("text-anchor", "end")
.text(function (d) {
return d.key;
});
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y).ticks(10, "%"));
}
d3.csv("market_shares.csv", type2, function (error, data) {
let stackedByDate = {}
let drugSet = new Set();
let defaultDrugMarketShareProp = {};
let newData = []
data.forEach(function (item, index) {
drugSet.add(item.drug);
stackedByDate[item.date] = {};
});
let drugNames = [...drugSet];
drugNames.forEach(function (item, index) {
defaultDrugMarketShareProp[item] = 0;
});
data.forEach(function (item, index) {
stackedByDate[item.date] = Object.assign({}, defaultDrugMarketShareProp);
});
data.forEach(function (item, index) {
stackedByDate[item.date][item.drug] = item.market_share;
});
Object.keys(stackedByDate).forEach(function (key) {
hash = {}
hash['date'] = key;
Object.keys(stackedByDate[key]).forEach(function (innerKey) {
hash[innerKey] = stackedByDate[key][innerKey]
});
newData.push(hash);
});
newData.columns = drugNames;
newData.columns.unshift('date');
drawGraph(error, newData, "#div2", 960, 500);
});
</script>
最佳答案
您正确地分析了日期字符串。但是，在此功能中...
Object.keys(stackedByDate).forEach(function (key) {
hash = {}
hash['date'] = key;//<----- HERE
Object.keys(stackedByDate[key]).forEach(function (innerKey) {
hash[innerKey] = stackedByDate[key][innerKey]
});
newData.push(hash);
});
...您正在将日期对象再次转换回字符串。
最快的解决方案是：
hash['date'] = new Date(key);
这只是您所做的更改的代码：https://bl.ocks.org/GerardoFurtado/e9538de82e96cc9e3efb5fc4c7b9b970/5ca6920405243c39b93d0245230b955c37c85a2c
关于javascript - 堆积面积图未呈现，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/56281611/