d3.js量表不会在顶部放置勾号 [英] d3.js scale doesn't place tick at the top

问题描述

我目前正在使用一个堆叠条形图，我的轴标签有问题。标签在第一次腮红看起来很好，但我注意到，在Y轴的顶部并不总是有刻度。我已在下面粘贴了一张照片。

I am currently working on a stacked bar chart, and I'm having a problem with the axis labels. The labels look fine at first blush, but I noticed that there is not always a tick at the top of the Y axis. I've pasted a picture below.

正如您所看到的，即使有一个明显超出该值的条形，也不会有超过12万的价格。我意识到，轴是以固定的间隔创建ticks，但有没有办法强制最后一个tick值是scale的最大值？如果没有，一个更好的解决方案是，在一切都说完后，在标尺的顶部绘制一个额外的行/标签？

As you can see, there are no ticks above 120,000 even though there is a bar that clearly goes beyond that value. I realize that the axis is creating ticks at regular intervals, but is there a way to force the last tick value to be the max value of the scale? If not, would a better solution be to draw an extra line/label after everything is said and done at the top of the scale?

我的尺度和轴的代码如下：

The code for my scale and axis are below:

var max = d3.max(data, function(d) { return d.red_value + d.blue_value; } );

var labelScaleY = d3.scale.linear()
                    .domain([0, max])
                    .rangeRound([svg_height-40, 0]);

svg.append("g")
   .attr("class", "y_axis")
   .call(d3.svg.axis()
           .scale(labelScaleY)
           .orient("left"))
   .attr("transform", "translate(60,20)");

svg.selectAll("line.y_rule").data(labelScaleY.ticks()).enter()
                            .append("line")
                            .attr({
                                "class":"y_rule",
                                "x1":0,
                                "x2":(svg_width-60),
                                "y1":function(d){ return labelScaleY(d);},
                                "y2":function(d){ return labelScaleY(d);},
                                "fill":"none",
                                "shape-rendering":"crispEdges",
                                "stroke":"black",
                                "stroke-width":"1px",
                                "transform":"translate(60,20)"
                            });

推荐答案

查看.nice函数

https：// github .com / mbostock / d3 / wiki / Quantitative-Scales＃wiki-linear_nice

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