谢谢您可以提供的任何帮助,我是D3的新手,并且在跟随我在网上看到的多线图示例很困难。我的数据看起来像:
country,year,average
United States,1970,51
United States,1971,50
United States,1972,54
United States,1973,56
United States,1974,53
United States,1975,57
United States,1976,60
Brazil,1970,23
Brazil,1971,25
Brazil,1972,24
Brazil,1973,21
Brazil,1974,25
Brazil,1975,26
Brazil,1976,24
针对多个国家/地区,我想为每个国家/地区设置一行。
var margin = {top: 10, right: 40, bottom: 150, left: 70},
width = 760 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var w = width + margin.left + margin.right;
var h = height + margin.top + margin.bottom;
var svg = d3.select("body").append("svg") // this appends a new SVG element to body
.attr("width", w) // set the width
.attr("height", h) // set the height
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// x scale will handle time
var xScale = d3.scaleBand().range([0, width]).padding(0.1);
// y scale will handle energy consumption values
var yScale = d3.scaleLinear().range([height,0]);
// Define X and Y AXIS
var yAxis = d3.axisLeft(yScale).ticks(5);
var xAxis = d3.axisBottom(xScale);
function rowConverter(data) {
return {
country : data.country,
year : +data.year,
average : +data.average // the + operator parses strings into numbers
};
}
// line generator function
var line = d3.line()
.curve(d3.curveBasis)
.x(function(d) { return xScale(d.year); })
.y(function(d) { return yScale(d.average); })
d3.csv("EvenMore.csv", rowConverter).then(function(data) {
var countries = d3.nest()
.key(function (d) { return d.country; })
.entries(data);
console.log(countries);
yScale.domain([0,d3.max(data, function(d) {return d.average; } )]);
xScale.domain(d3.extent(data, function(d) { return d.year; } ));
// Draw xAxis
svg.append("g") // add a new svg group element
.attr("class", "x axis")
.attr("transform", "translate(0, " + height + ")")
.call(xAxis)
.selectAll("text")
.attr("dx", "-.8em")
.attr("dy", ".25em")
.attr("text-anchor", "end");
// Draw yAxis
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.selectAll("text")
.attr("dx", "-.8em")
.attr("dy", ".25em")
.attr("text-anchor", "end");
svg.selectAll("path")
.data(countries)
.enter()
.append("path")
.attr("class", "line")
.attr("d", function(d) {
return line(d.values);
});
});
我不知道这些错误是什么意思,错误:属性d:期望的数字,“ .... 33333333333334LNaN,114.27777777…”:
答案 0 :(得分:2)
问题
您没有正确使用带刻度。带标度不是定量标度,因此没有上限和下限。相反,需要指定域的每个值:
domain中的第一个元素将映射到第一个波段,即 第二个域的值到第二个带,依此类推。域值是 从字符串值到索引内部存储在映射中;的 然后,使用所得的索引来确定频段(docs)
这说明了您的错误,您已经为域指定了两个值,第一年和最后一年。我们可以看到,在查看刻度时,域仅是这两个值的一种方式(默认情况下,带刻度的轴包括所有刻度线,但是即使在这里,如果1970和1976是开始和结束,间隔实际上也很奇怪。值):
错误消息还有助于发现错误:如果第一个坐标的x值为NaN,则在检查路径"Expected Number, "MNan,1234..."
属性时(尤其是未应用任何曲线),该消息将读取d
。查看除第一个和最后一个都是NaN之外的每个坐标的x值。
解决方案
您需要提供规模域中的所有值。我们可以通过以下方式获取所有值:
xScale.domain(data.map(function(d) { return d.year; }))
设置域时,天平将清除重复项。
var margin = {top: 10, right: 40, bottom: 150, left: 70},
width = 760 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var w = width + margin.left + margin.right;
var h = height + margin.top + margin.bottom;
var svg = d3.select("body").append("svg") // this appends a new SVG element to body
.attr("width", w) // set the width
.attr("height", h) // set the height
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
// x scale will handle time
var xScale = d3.scaleBand().range([0, width]).padding(0.1);
// y scale will handle energy consumption values
var yScale = d3.scaleLinear().range([height,0]);
// Define X and Y AXIS
var yAxis = d3.axisLeft(yScale).ticks(5);
var xAxis = d3.axisBottom(xScale);
function rowConverter(data) {
return {
country : data.country,
year : +data.year,
average : +data.average // the + operator parses strings into numbers
};
}
// line generator function
var line = d3.line()
.curve(d3.curveBasis)
.x(function(d) { return xScale(d.year); })
.y(function(d) { return yScale(d.average); })
var data = d3.csvParse(d3.select("pre").remove().text())
data = data.map(rowConverter);
var countries = d3.nest()
.key(function (d) { return d.country; })
.entries(data);
yScale.domain([0,d3.max(data, function(d) {return d.average; } )]);
xScale.domain(countries[0].values.map(function(d) { return d.year; }));
// Draw xAxis
svg.append("g") // add a new svg group element
.attr("class", "x axis")
.attr("transform", "translate(0, " + height + ")")
.call(xAxis)
.selectAll("text")
.attr("dx", "-.8em")
.attr("dy", ".25em")
.attr("text-anchor", "end");
// Draw yAxis
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.selectAll("text")
.attr("dx", "-.8em")
.attr("dy", ".25em")
.attr("text-anchor", "end");
svg.selectAll(null)
.data(countries)
.enter()
.append("path")
.attr("class", "line")
.attr("d", function(d) {
return line(d.values);
});
.line {
stroke-width: 2px;
fill: none;
stroke:black;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>
<pre>country,year,average
United States,1970,51
United States,1971,50
United States,1972,54
United States,1973,56
United States,1974,53
United States,1975,57
United States,1976,60
Brazil,1970,23
Brazil,1971,25
Brazil,1972,24
Brazil,1973,21
Brazil,1974,25
Brazil,1975,26
Brazil,1976,24</pre>