D3 网格线和刻度值问题答案

【问题标题】：D3 grid lines and tick values issuesD3 网格线和刻度值问题
【发布时间】：2016-01-21 12:08:53
【问题描述】：

我有一个使用 D3 制作的堆积面积图。我的实施面临两个问题。

1) 我只想在 y 轴上显示替代刻度值。例如，在我的实现中，y 轴值为0, 20, 40, 60, 80, 100 等等。但我想显示像0, 40, 80, 120 这样的值，但也要保持相应的网格线。我只想删除替代刻度值而不删除 y 轴网格线。

2) 我想格式化 y 轴，使其始终具有上 y 轴网格线。所以在我的实现中，我希望在180 值上方有一条网格线。

var margin = {
    top: 20,
    right: 30,
    bottom: 30,
    left: 40
  },
  width = 960 - margin.left - margin.right,
  height = 500 - margin.top - margin.bottom;

var x = d3.time.scale()
  .range([0, width]);

var y = d3.scale.linear()
  .range([height, 0]);

var z = d3.scale.category20c();

var xAxis = d3.svg.axis()
  .scale(x)
  .orient("bottom")


var yAxis = d3.svg.axis()
  .scale(y).innerTickSize(-width).outerTickSize(0)
  .orient("left");

var stack = d3.layout.stack()
  .offset("zero")
  .values(function(d) {
    return d.data;
  })
  .x(function(d) {
    return new Date(d[0]);
  })
  .y(function(d) {
    return d[1];
  });



var area = d3.svg.area()
  .interpolate("cardinal")
  .x(function(d) {
    return x(new Date(d[0]));;
  })
  .y0(function(d) {
    return y(d.y0);
  })
  .y1(function(d) {
    return y(d.y0 + d.y);
  });

var svg = d3.select("body").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 + ")");


var b = [{
  data: [
    ["2016-01-20T05:31:17.000Z", 95.9, {}],
    ["2016-01-20T05:31:47.000Z", 95.9, {}],
    ["2016-01-20T05:32:17.000Z", 95.4, {}],
    ["2016-01-20T05:32:47.000Z", 96.1, {}],
    ["2016-01-20T05:33:17.000Z", 95.7, {}],
    ["2016-01-20T05:33:47.000Z", 95.9, {}],
    ["2016-01-20T05:34:17.000Z", 95.5, {}],
    ["2016-01-20T05:34:47.000Z", 95.9, {}],
    ["2016-01-20T05:35:17.000Z", 95.8, {}],
    ["2016-01-20T05:35:47.000Z", 95.9, {}],
    ["2016-01-20T05:36:17.000Z", 95.7, {}],
    ["2016-01-20T05:36:47.000Z", 95.7, {}],
    ["2016-01-20T05:37:17.000Z", 95.9, {}],
    ["2016-01-20T05:37:47.000Z", 95.5, {}],
    ["2016-01-20T05:38:17.000Z", 95.4, {}],
    ["2016-01-20T05:38:47.000Z", 95.8, {}],
    ["2016-01-20T05:39:17.000Z", 96.0, {}],
    ["2016-01-20T05:39:47.000Z", 96.1, {}],
    ["2016-01-20T05:40:17.000Z", 95.8, {}],
    ["2016-01-20T05:40:47.000Z", 96.0, {}],
    ["2016-01-20T05:41:17.000Z", 95.9, {}],
    ["2016-01-20T05:41:47.000Z", 94.9, {}],
    ["2016-01-20T05:42:17.000Z", 95.8, {}],
    ["2016-01-20T05:42:47.000Z", 95.9, {}],
    ["2016-01-20T05:43:17.000Z", 95.8, {}],
    ["2016-01-20T05:43:47.000Z", 96.0, {}],
    ["2016-01-20T05:44:17.000Z", 95.7, {}],
    ["2016-01-20T05:44:47.000Z", 96.0, {}],
    ["2016-01-20T05:45:17.000Z", 95.9, {}],
    ["2016-01-20T05:45:47.000Z", 96.0, {}],
    ["2016-01-20T05:46:17.000Z", 95.8, {}],
    ["2016-01-20T05:46:47.000Z", 96.0, {}],
    ["2016-01-20T05:47:17.000Z", 95.7, {}],
    ["2016-01-20T05:47:47.000Z", 96.2, {}],
    ["2016-01-20T05:48:17.000Z", 95.8, {}],
    ["2016-01-20T05:48:47.000Z", 95.9, {}],
    ["2016-01-20T05:49:17.000Z", 95.7, {}],
    ["2016-01-20T05:49:47.000Z", 95.9, {}],
    ["2016-01-20T05:50:18.000Z", 95.7, {}],
    ["2016-01-20T05:50:48.000Z", 95.8, {}],
    ["2016-01-20T05:51:18.000Z", 95.7, {}],
    ["2016-01-20T05:51:48.000Z", 95.9, {}],
    ["2016-01-20T05:52:18.000Z", 95.5, {}],
    ["2016-01-20T05:52:48.000Z", 95.9, {}],
    ["2016-01-20T05:53:18.000Z", 95.8, {}],
    ["2016-01-20T05:53:48.000Z", 95.9, {}],
    ["2016-01-20T05:54:18.000Z", 95.7, {}],
    ["2016-01-20T05:54:48.000Z", 95.9, {}],
    ["2016-01-20T05:55:18.000Z", 95.8, {}],
    ["2016-01-20T05:55:48.000Z", 95.8, {}],
    ["2016-01-20T05:56:18.000Z", 95.6, {}],
    ["2016-01-20T05:56:48.000Z", 95.7, {}],
    ["2016-01-20T05:57:18.000Z", 95.7, {}],
    ["2016-01-20T05:57:48.000Z", 95.8, {}],
    ["2016-01-20T05:58:18.000Z", 95.7, {}],
    ["2016-01-20T05:58:48.000Z", 95.7, {}],
    ["2016-01-20T05:59:18.000Z", 95.6, {}],
    ["2016-01-20T05:59:48.000Z", 95.8, {}],
    ["2016-01-20T06:00:18.000Z", 95.7, {}],
    ["2016-01-20T06:00:48.000Z", 95.7, {}],
    ["2016-01-20T06:01:18.000Z", 95.6, {}],
    ["2016-01-20T06:01:48.000Z", 95.7, {}],
    ["2016-01-20T06:02:18.000Z", 95.8, {}],
    ["2016-01-20T06:02:48.000Z", 95.8, {}],
    ["2016-01-20T06:03:18.000Z", 95.8, {}],
    ["2016-01-20T06:03:48.000Z", 95.8, {}],
    ["2016-01-20T06:04:18.000Z", 95.8, {}],
    ["2016-01-20T06:04:48.000Z", 95.8, {}],
    ["2016-01-20T06:05:18.000Z", 95.7, {}],
    ["2016-01-20T06:05:48.000Z", 95.7, {}]
  ],
  label: "a"
}, {
  data: [
    ["2016-01-20T05:31:17.000Z", 95.9, {}],
    ["2016-01-20T05:31:47.000Z", 95.9, {}],
    ["2016-01-20T05:32:17.000Z", 95.4, {}],
    ["2016-01-20T05:32:47.000Z", 96.1, {}],
    ["2016-01-20T05:33:17.000Z", 95.7, {}],
    ["2016-01-20T05:33:47.000Z", 95.9, {}],
    ["2016-01-20T05:34:17.000Z", 95.5, {}],
    ["2016-01-20T05:34:47.000Z", 95.9, {}],
    ["2016-01-20T05:35:17.000Z", 95.8, {}],
    ["2016-01-20T05:35:47.000Z", 95.9, {}],
    ["2016-01-20T05:36:17.000Z", 95.7, {}],
    ["2016-01-20T05:36:47.000Z", 95.7, {}],
    ["2016-01-20T05:37:17.000Z", 95.9, {}],
    ["2016-01-20T05:37:47.000Z", 95.5, {}],
    ["2016-01-20T05:38:17.000Z", 95.4, {}],
    ["2016-01-20T05:38:47.000Z", 95.8, {}],
    ["2016-01-20T05:39:17.000Z", 96.0, {}],
    ["2016-01-20T05:39:47.000Z", 96.1, {}],
    ["2016-01-20T05:40:17.000Z", 95.8, {}],
    ["2016-01-20T05:40:47.000Z", 96.0, {}],
    ["2016-01-20T05:41:17.000Z", 95.9, {}],
    ["2016-01-20T05:41:47.000Z", 94.9, {}],
    ["2016-01-20T05:42:17.000Z", 95.8, {}],
    ["2016-01-20T05:42:47.000Z", 95.9, {}],
    ["2016-01-20T05:43:17.000Z", 95.8, {}],
    ["2016-01-20T05:43:47.000Z", 96.0, {}],
    ["2016-01-20T05:44:17.000Z", 95.7, {}],
    ["2016-01-20T05:44:47.000Z", 96.0, {}],
    ["2016-01-20T05:45:17.000Z", 95.9, {}],
    ["2016-01-20T05:45:47.000Z", 96.0, {}],
    ["2016-01-20T05:46:17.000Z", 95.8, {}],
    ["2016-01-20T05:46:47.000Z", 96.0, {}],
    ["2016-01-20T05:47:17.000Z", 95.7, {}],
    ["2016-01-20T05:47:47.000Z", 96.2, {}],
    ["2016-01-20T05:48:17.000Z", 95.8, {}],
    ["2016-01-20T05:48:47.000Z", 95.9, {}],
    ["2016-01-20T05:49:17.000Z", 95.7, {}],
    ["2016-01-20T05:49:47.000Z", 95.9, {}],
    ["2016-01-20T05:50:18.000Z", 95.7, {}],
    ["2016-01-20T05:50:48.000Z", 95.8, {}],
    ["2016-01-20T05:51:18.000Z", 95.7, {}],
    ["2016-01-20T05:51:48.000Z", 95.9, {}],
    ["2016-01-20T05:52:18.000Z", 95.5, {}],
    ["2016-01-20T05:52:48.000Z", 95.9, {}],
    ["2016-01-20T05:53:18.000Z", 95.8, {}],
    ["2016-01-20T05:53:48.000Z", 95.9, {}],
    ["2016-01-20T05:54:18.000Z", 95.7, {}],
    ["2016-01-20T05:54:48.000Z", 95.9, {}],
    ["2016-01-20T05:55:18.000Z", 95.8, {}],
    ["2016-01-20T05:55:48.000Z", 95.8, {}],
    ["2016-01-20T05:56:18.000Z", 95.6, {}],
    ["2016-01-20T05:56:48.000Z", 95.7, {}],
    ["2016-01-20T05:57:18.000Z", 95.7, {}],
    ["2016-01-20T05:57:48.000Z", 95.8, {}],
    ["2016-01-20T05:58:18.000Z", 95.7, {}],
    ["2016-01-20T05:58:48.000Z", 95.7, {}],
    ["2016-01-20T05:59:18.000Z", 95.6, {}],
    ["2016-01-20T05:59:48.000Z", 95.8, {}],
    ["2016-01-20T06:00:18.000Z", 95.7, {}],
    ["2016-01-20T06:00:48.000Z", 95.7, {}],
    ["2016-01-20T06:01:18.000Z", 95.6, {}],
    ["2016-01-20T06:01:48.000Z", 95.7, {}],
    ["2016-01-20T06:02:18.000Z", 95.8, {}],
    ["2016-01-20T06:02:48.000Z", 95.8, {}],
    ["2016-01-20T06:03:18.000Z", 95.8, {}],
    ["2016-01-20T06:03:48.000Z", 95.8, {}],
    ["2016-01-20T06:04:18.000Z", 95.8, {}],
    ["2016-01-20T06:04:48.000Z", 95.8, {}],
    ["2016-01-20T06:05:18.000Z", 95.7, {}],
    ["2016-01-20T06:05:48.000Z", 95.7, {}]
  ],
  label: "b"
}]




var layers = stack(b);

var ary = [];
layers.forEach(function(d) {
  ary.push(d.data)
})

x.domain(d3.extent(d3.merge(ary), function(d) {
  return new Date(d[0]);
}));
y.domain([0, d3.max(d3.merge(ary), function(d) {
  return d.y0 + d.y;
})]);


svg.selectAll(".layer")
  .data(layers)
  .enter().append("path")
  .attr("class", "layer")
  .attr("d", function(d) {
    return area(d.data);
  })
  .style("fill", function(d, i) {
    return z(i);
  });

svg.append("g")
  .attr("class", "x axis")
  .attr("transform", "translate(0," + height + ")")
  .call(xAxis);

svg.append("g")
  .attr("class", "y axis")
  .call(yAxis);

body {
  font: 10px sans-serif;
}
.axis path,
.axis line {
  fill: none;
  stroke: #000;
  shape-rendering: crispEdges;
}

&lt;script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"&gt;&lt;/script&gt;

注意：数据值是动态的，因此 y 轴刻度值不是固定的。请帮我找到一个适用于任何数据的解决方案。

【问题讨论】：

标签： javascript css d3.js

【解决方案1】：

要使刻度值做：

var max = y.domain()[1];
var values = [];
for(var j =0; j <=max; j=j+20){
    values.push(j)
}
values.push(max)

yAxis.tickValues(values);

要隐藏备用网格文本，请执行以下操作：

var last = svg.selectAll(".y .tick text")[0].length;  

svg.selectAll(".y .tick text")[0].forEach(function(d, i){
  if (i==last-1){
    return;//for showing last tick
  }
  if(i%2==0)
    d3.select(d).style("display", "none");//for showing alternate ticks
});

工作代码here

【讨论】：

感谢您的解决方案。

【解决方案2】：

通过设置yAxis 的参数可以轻松满足您的这两个要求。

自定义刻度值可以通过使用axis.tickValues() 覆盖由刻度的自动刻度生成器提供的值来指定。对于您的情况，这意味着致电yAxis.tickValues([0, 40, 80, 120])。要在仍然绘制网格线的同时隐藏某些刻度值，您可以使用 axis.tickFormat()，这取决于您的逻辑 - 需要为每个要省略的刻度值返回一个空字符串。下面的示例将显示每秒的刻度值，但您可以随意实现任何您喜欢的逻辑。
如果您想要图表上方的封闭网格线，您可以使用yAxis.outerTickSize(-width)，它将在刻度范围的最小/最大值处添加网格线，就像为中间值添加内部网格线一样。但是请注意，作为副作用，这还会在 y 轴的下端添加一条网格线，这在您的情况下不会受到伤害，因为它将与您的 x 轴相同。

生成yAxis 的代码如下所示：

var yTicks = [40,80,120,160];               // Use whatever values you like.
var yAxis = d3.svg.axis()
  .scale(y)
  .innerTickSize(-width)
  .outerTickSize(-width)                    // Set to -width for upper/lower grid lines
  .tickValues(yTicks)                       // Set custom grid values.
  .tickFormat(function(d) {
    return yTicks.indexOf(d) % 2 ? d : "";  // Custom tickFormat to hide certain tickValues
  })
  .orient("left");

如果您不希望上方的网格线与值的路径齐平，您可以通过扩展刻度的域来添加一点填充：

y.domain([0, d3.max(d3.merge(ary), function(d) {
  return d.y0 + d.y;
}) * 1.1]);   // Extending the extent's max value by .1 to allow for padding.

var margin = {
    top: 20,
    right: 30,
    bottom: 30,
    left: 40
  },
  width = 960 - margin.left - margin.right,
  height = 500 - margin.top - margin.bottom;

var x = d3.time.scale()
  .range([0, width]);

var y = d3.scale.linear()
  .range([height, 0]);

var z = d3.scale.category20c();

var xAxis = d3.svg.axis()
  .scale(x)
  .orient("bottom")

var yTicks = [40,80,120,160];               // Use whatever values you like.
var yAxis = d3.svg.axis()
  .scale(y)
  .innerTickSize(-width)
  .outerTickSize(-width)                    // Set to -width for upper/lower grid lines
  .tickValues(yTicks)                       // Set custom grid values.
  .tickFormat(function(d) {
    return yTicks.indexOf(d) % 2 ? d : "";  // Use a custom tickFormat to hide certain tickValues
  })
  .orient("left");

var stack = d3.layout.stack()
  .offset("zero")
  .values(function(d) {
    return d.data;
  })
  .x(function(d) {
    return new Date(d[0]);
  })
  .y(function(d) {
    return d[1];
  });



var area = d3.svg.area()
  .interpolate("cardinal")
  .x(function(d) {
    return x(new Date(d[0]));;
  })
  .y0(function(d) {
    return y(d.y0);
  })
  .y1(function(d) {
    return y(d.y0 + d.y);
  });

var svg = d3.select("body").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 + ")");


var b = [{
  data: [
    ["2016-01-20T05:31:17.000Z", 95.9, {}],
    ["2016-01-20T05:31:47.000Z", 95.9, {}],
    ["2016-01-20T05:32:17.000Z", 95.4, {}],
    ["2016-01-20T05:32:47.000Z", 96.1, {}],
    ["2016-01-20T05:33:17.000Z", 95.7, {}],
    ["2016-01-20T05:33:47.000Z", 95.9, {}],
    ["2016-01-20T05:34:17.000Z", 95.5, {}],
    ["2016-01-20T05:34:47.000Z", 95.9, {}],
    ["2016-01-20T05:35:17.000Z", 95.8, {}],
    ["2016-01-20T05:35:47.000Z", 95.9, {}],
    ["2016-01-20T05:36:17.000Z", 95.7, {}],
    ["2016-01-20T05:36:47.000Z", 95.7, {}],
    ["2016-01-20T05:37:17.000Z", 95.9, {}],
    ["2016-01-20T05:37:47.000Z", 95.5, {}],
    ["2016-01-20T05:38:17.000Z", 95.4, {}],
    ["2016-01-20T05:38:47.000Z", 95.8, {}],
    ["2016-01-20T05:39:17.000Z", 96.0, {}],
    ["2016-01-20T05:39:47.000Z", 96.1, {}],
    ["2016-01-20T05:40:17.000Z", 95.8, {}],
    ["2016-01-20T05:40:47.000Z", 96.0, {}],
    ["2016-01-20T05:41:17.000Z", 95.9, {}],
    ["2016-01-20T05:41:47.000Z", 94.9, {}],
    ["2016-01-20T05:42:17.000Z", 95.8, {}],
    ["2016-01-20T05:42:47.000Z", 95.9, {}],
    ["2016-01-20T05:43:17.000Z", 95.8, {}],
    ["2016-01-20T05:43:47.000Z", 96.0, {}],
    ["2016-01-20T05:44:17.000Z", 95.7, {}],
    ["2016-01-20T05:44:47.000Z", 96.0, {}],
    ["2016-01-20T05:45:17.000Z", 95.9, {}],
    ["2016-01-20T05:45:47.000Z", 96.0, {}],
    ["2016-01-20T05:46:17.000Z", 95.8, {}],
    ["2016-01-20T05:46:47.000Z", 96.0, {}],
    ["2016-01-20T05:47:17.000Z", 95.7, {}],
    ["2016-01-20T05:47:47.000Z", 96.2, {}],
    ["2016-01-20T05:48:17.000Z", 95.8, {}],
    ["2016-01-20T05:48:47.000Z", 95.9, {}],
    ["2016-01-20T05:49:17.000Z", 95.7, {}],
    ["2016-01-20T05:49:47.000Z", 95.9, {}],
    ["2016-01-20T05:50:18.000Z", 95.7, {}],
    ["2016-01-20T05:50:48.000Z", 95.8, {}],
    ["2016-01-20T05:51:18.000Z", 95.7, {}],
    ["2016-01-20T05:51:48.000Z", 95.9, {}],
    ["2016-01-20T05:52:18.000Z", 95.5, {}],
    ["2016-01-20T05:52:48.000Z", 95.9, {}],
    ["2016-01-20T05:53:18.000Z", 95.8, {}],
    ["2016-01-20T05:53:48.000Z", 95.9, {}],
    ["2016-01-20T05:54:18.000Z", 95.7, {}],
    ["2016-01-20T05:54:48.000Z", 95.9, {}],
    ["2016-01-20T05:55:18.000Z", 95.8, {}],
    ["2016-01-20T05:55:48.000Z", 95.8, {}],
    ["2016-01-20T05:56:18.000Z", 95.6, {}],
    ["2016-01-20T05:56:48.000Z", 95.7, {}],
    ["2016-01-20T05:57:18.000Z", 95.7, {}],
    ["2016-01-20T05:57:48.000Z", 95.8, {}],
    ["2016-01-20T05:58:18.000Z", 95.7, {}],
    ["2016-01-20T05:58:48.000Z", 95.7, {}],
    ["2016-01-20T05:59:18.000Z", 95.6, {}],
    ["2016-01-20T05:59:48.000Z", 95.8, {}],
    ["2016-01-20T06:00:18.000Z", 95.7, {}],
    ["2016-01-20T06:00:48.000Z", 95.7, {}],
    ["2016-01-20T06:01:18.000Z", 95.6, {}],
    ["2016-01-20T06:01:48.000Z", 95.7, {}],
    ["2016-01-20T06:02:18.000Z", 95.8, {}],
    ["2016-01-20T06:02:48.000Z", 95.8, {}],
    ["2016-01-20T06:03:18.000Z", 95.8, {}],
    ["2016-01-20T06:03:48.000Z", 95.8, {}],
    ["2016-01-20T06:04:18.000Z", 95.8, {}],
    ["2016-01-20T06:04:48.000Z", 95.8, {}],
    ["2016-01-20T06:05:18.000Z", 95.7, {}],
    ["2016-01-20T06:05:48.000Z", 95.7, {}]
  ],
  label: "a"
}, {
  data: [
    ["2016-01-20T05:31:17.000Z", 95.9, {}],
    ["2016-01-20T05:31:47.000Z", 95.9, {}],
    ["2016-01-20T05:32:17.000Z", 95.4, {}],
    ["2016-01-20T05:32:47.000Z", 96.1, {}],
    ["2016-01-20T05:33:17.000Z", 95.7, {}],
    ["2016-01-20T05:33:47.000Z", 95.9, {}],
    ["2016-01-20T05:34:17.000Z", 95.5, {}],
    ["2016-01-20T05:34:47.000Z", 95.9, {}],
    ["2016-01-20T05:35:17.000Z", 95.8, {}],
    ["2016-01-20T05:35:47.000Z", 95.9, {}],
    ["2016-01-20T05:36:17.000Z", 95.7, {}],
    ["2016-01-20T05:36:47.000Z", 95.7, {}],
    ["2016-01-20T05:37:17.000Z", 95.9, {}],
    ["2016-01-20T05:37:47.000Z", 95.5, {}],
    ["2016-01-20T05:38:17.000Z", 95.4, {}],
    ["2016-01-20T05:38:47.000Z", 95.8, {}],
    ["2016-01-20T05:39:17.000Z", 96.0, {}],
    ["2016-01-20T05:39:47.000Z", 96.1, {}],
    ["2016-01-20T05:40:17.000Z", 95.8, {}],
    ["2016-01-20T05:40:47.000Z", 96.0, {}],
    ["2016-01-20T05:41:17.000Z", 95.9, {}],
    ["2016-01-20T05:41:47.000Z", 94.9, {}],
    ["2016-01-20T05:42:17.000Z", 95.8, {}],
    ["2016-01-20T05:42:47.000Z", 95.9, {}],
    ["2016-01-20T05:43:17.000Z", 95.8, {}],
    ["2016-01-20T05:43:47.000Z", 96.0, {}],
    ["2016-01-20T05:44:17.000Z", 95.7, {}],
    ["2016-01-20T05:44:47.000Z", 96.0, {}],
    ["2016-01-20T05:45:17.000Z", 95.9, {}],
    ["2016-01-20T05:45:47.000Z", 96.0, {}],
    ["2016-01-20T05:46:17.000Z", 95.8, {}],
    ["2016-01-20T05:46:47.000Z", 96.0, {}],
    ["2016-01-20T05:47:17.000Z", 95.7, {}],
    ["2016-01-20T05:47:47.000Z", 96.2, {}],
    ["2016-01-20T05:48:17.000Z", 95.8, {}],
    ["2016-01-20T05:48:47.000Z", 95.9, {}],
    ["2016-01-20T05:49:17.000Z", 95.7, {}],
    ["2016-01-20T05:49:47.000Z", 95.9, {}],
    ["2016-01-20T05:50:18.000Z", 95.7, {}],
    ["2016-01-20T05:50:48.000Z", 95.8, {}],
    ["2016-01-20T05:51:18.000Z", 95.7, {}],
    ["2016-01-20T05:51:48.000Z", 95.9, {}],
    ["2016-01-20T05:52:18.000Z", 95.5, {}],
    ["2016-01-20T05:52:48.000Z", 95.9, {}],
    ["2016-01-20T05:53:18.000Z", 95.8, {}],
    ["2016-01-20T05:53:48.000Z", 95.9, {}],
    ["2016-01-20T05:54:18.000Z", 95.7, {}],
    ["2016-01-20T05:54:48.000Z", 95.9, {}],
    ["2016-01-20T05:55:18.000Z", 95.8, {}],
    ["2016-01-20T05:55:48.000Z", 95.8, {}],
    ["2016-01-20T05:56:18.000Z", 95.6, {}],
    ["2016-01-20T05:56:48.000Z", 95.7, {}],
    ["2016-01-20T05:57:18.000Z", 95.7, {}],
    ["2016-01-20T05:57:48.000Z", 95.8, {}],
    ["2016-01-20T05:58:18.000Z", 95.7, {}],
    ["2016-01-20T05:58:48.000Z", 95.7, {}],
    ["2016-01-20T05:59:18.000Z", 95.6, {}],
    ["2016-01-20T05:59:48.000Z", 95.8, {}],
    ["2016-01-20T06:00:18.000Z", 95.7, {}],
    ["2016-01-20T06:00:48.000Z", 95.7, {}],
    ["2016-01-20T06:01:18.000Z", 95.6, {}],
    ["2016-01-20T06:01:48.000Z", 95.7, {}],
    ["2016-01-20T06:02:18.000Z", 95.8, {}],
    ["2016-01-20T06:02:48.000Z", 95.8, {}],
    ["2016-01-20T06:03:18.000Z", 95.8, {}],
    ["2016-01-20T06:03:48.000Z", 95.8, {}],
    ["2016-01-20T06:04:18.000Z", 95.8, {}],
    ["2016-01-20T06:04:48.000Z", 95.8, {}],
    ["2016-01-20T06:05:18.000Z", 95.7, {}],
    ["2016-01-20T06:05:48.000Z", 95.7, {}]
  ],
  label: "b"
}]




var layers = stack(b);

var ary = [];
layers.forEach(function(d) {
  ary.push(d.data)
})

x.domain(d3.extent(d3.merge(ary), function(d) {
  return new Date(d[0]);
}));
y.domain([0, d3.max(d3.merge(ary), function(d) {
  return d.y0 + d.y;
}) * 1.1]);   // Extending the extent's max value by .1 to allow for padding.

svg.selectAll(".layer")
  .data(layers)
  .enter().append("path")
  .attr("class", "layer")
  .attr("d", function(d) {
    return area(d.data);
  })
  .style("fill", function(d, i) {
    return z(i);
  });

svg.append("g")
  .attr("class", "x axis")
  .attr("transform", "translate(0," + height + ")")
  .call(xAxis);

svg.append("g")
  .attr("class", "y axis")
  .call(yAxis);

body {
  font: 10px sans-serif;
}
.axis path,
.axis line {
  fill: none;
  stroke: #000;
  shape-rendering: crispEdges;
}

&lt;script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"&gt;&lt;/script&gt;

【讨论】：

数据不固定。 y 轴的刻度值将根据后端的数据而变化。请帮我找到一个不需要手动指定tickValues 的通用解决方案。我也不希望相应的网格线消失。在第一个问题的解决方案中，当您从 y 轴上删除 20 时，相应的网格线也将被删除，但我希望该网格线存在但不勾选。
你可以传入任何你喜欢的刻度值数组。当然，您可以根据需要的网格线数预先计算此数组。它们甚至不需要均匀分布； [1,5,10,20,50,500] 会很好。我不确定这如何变得更有活力。我刚刚借用了您在问题中提供的数组。
如何预先计算这个数组？
基本上我想在两个刻度之间绘制网格线，但不能这样做。你能帮我吗？
我已经更新了我的答案，以更好地满足您的要求。