jsfiddle link https://jsfiddle.net/8vhsLor6/
基本上我想用json对象替换tsv文件数据。我收到了错误。输入错误
var cities = data.columns.slice(1).map(function(id) {
我有这样的数据
var data = [
{date:"1-May-12","New York":"58.13", "San Francisco":"58.13", "Austin": "43"},
{date:"30-Apr-12","New York":"53.98" , "San Francisco":"48.13", "Austin": "53"},
{date:"27-Apr-12","New York":"67.00", "San Francisco":"38.13", "Austin": "63"},
{date:"26-Apr-12","New York":"89.70", "San Francisco":"28.13", "Austin": "73"},
{date:"25-Apr-12","New York":"99.00", "San Francisco":"18.13", "Austin": "83"}
];
答案 0 :(得分:3)
d3.tsv:
当将数据从Bostock's code从TSV更改为JSON(或更确切地说,变为变量)时,您忘记了一些重要的事情:在新的D3 v4.x中,d3.tsv
函数创建一个名为columns
的数组属性。
此属性包含TSV文件的所有标头作为数组。在原始代码中,如果您console.log(data.columns)
,您将获得此信息:
["date", "New York", "San Francisco", "Austin"];
所以,基本上,为了使你的代码能够工作,我所做的就是添加这个属性:
data.columns = ["date", "New York", "San Francisco", "Austin"];
这是你的小提琴:https://jsfiddle.net/uz9rtcwd/
PS:您的日期格式错误。此外,您必须解析data
数组中的日期(此步骤对应于d3.tsv
中的访问者函数,但请记住d3.json
没有访问者函数。)
答案 1 :(得分:1)
要使多线图需要添加几个步骤: -
var svg = d3.select("svg"),
margin = {top: 20, right: 80, bottom: 30, left: 50},
width = svg.attr("width") - margin.left - margin.right,
height = svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var parseTime = d3.timeParse("%e-%b-%y")
var x = d3.scaleTime().range([0, width]),
y = d3.scaleLinear().range([height, 0]),
z = d3.scaleOrdinal(d3.schemeCategory10);
var line = d3.line()
.curve(d3.curveBasis)
.x(function(d) { return x(parseTime(d.date)); })
.y(function(d) { return y(d.temperature); });
var data = [
{date:"1-May-12","New York":"58.13", "San Francisco":"58.13", "Austin": "43"},
{date:"30-Apr-12","New York":"53.98" , "San Francisco":"48.13", "Austin": "53"},
{date:"27-Apr-12","New York":"67.00", "San Francisco":"38.13", "Austin": "63"},
{date:"26-Apr-12","New York":"89.70", "San Francisco":"28.13", "Austin": "73"},
{date:"25-Apr-12","New York":"99.00", "San Francisco":"18.13", "Austin": "83"}
];
var keys =d3.keys(data[0]);
var i = keys.indexOf('date')
if(i != -1) {
keys.splice(i, 1);
}
var cities = keys.map(function(d) {
return {
id:d,
values: data.map( function(e) {
return {
date: e.date,
temperature: e[d]
};
})
} });
x.domain(d3.extent(data, function(d) { return parseTime(d.date); }));
y.domain([
d3.min(cities, function(c) { return d3.min(c.values, function(d) { return d.temperature; }); }),
d3.max(cities, function(c) { return d3.max(c.values, function(d) { return d.temperature; }); })
]);
z.domain(cities.map(function(c) { return c.id; }));
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))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.attr("fill", "#000")
.text("Temperature, ºF");
var city = g.selectAll(".city")
.data(cities)
.enter().append("g")
.attr("class", "city");
city.append("path")
.attr("class", "line")
.attr("d", function(d) { return line(d.values); })
.style("stroke", function(d) { return z(d.id); });
city.append("text")
.datum(function(d) { return {id: d.id, value: d.values[d.values.length - 1]}; })
.attr("transform", function(d) { return "translate(" + x(parseTime(d.value.date)) + "," + y(d.value.temperature) + ")"; })
.attr("x", 3)
.attr("dy", "0.35em")
.style("font", "10px sans-serif")
.text(function(d) { return d.id; });
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.line {
fill: none;
stroke: steelblue;
stroke-width: 1.5px;
}
<script src="https://d3js.org/d3.v4.min.js"></script>
<svg width="960" height="500"></svg>
var keys =d3.keys(data[0]);
var i = keys.indexOf('date')
if(i != -1) {
keys.splice(i, 1);
}
var cities = keys.map(function(d) {
return {
id:d,
values: data.map( function(e) {
return {
date: e.date,
temperature: e[d]
};
})
} });