使用 D3 问题的多线图



我正在使用D3创建一个多线图。我已经编写了代码,但没有显示两行,而是只显示一行,我无法找出此问题的原因。

var margin = {
    top: 20,
    right: 30,
    bottom: 30,
    left: 40
  },
  width = 960 - margin.left - margin.right,
  height = 500 - margin.top - margin.bottom;
var z = d3.scale.category20c();
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 parseDate = d3.time.format("%Y-%m-%dT%H:%M:%S.%LZ");
var data = [{
  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 x = d3.time.scale()
  .range([0, width]);
var y = d3.scale.linear()
  .range([height, 0]);
var xAxis = d3.svg.axis()
  .scale(x)
  .orient("bottom");
var yAxis = d3.svg.axis()
  .scale(y)
  .orient("left");
var line = d3.svg.line()
  .interpolate("monotone")
  .x(function(d) {
    return x(parseDate.parse(d[0]));
  })
  .y(function(d) {
    return y(d[1]);
  });
var ary = [];
data.forEach(function(d) {
  ary.push(d.data);
});
x.domain(d3.extent(d3.merge(ary), function(d) {
  return parseDate.parse(d[0]);
}));
y.domain([
  d3.min(data, function(c) {
    return d3.min(c.data, function(v) {
      return v[1];
    });
  }),
  d3.max(data, function(c) {
    return d3.max(c.data, function(v) {
      return v[1];
    });
  })
]);
svg.append("g")
  .attr("class", "x axis")
  .attr("transform", "translate(0," + height + ")")
  .call(xAxis);
svg.append("g")
  .attr("class", "y axis")
  .call(yAxis);
var series = svg.selectAll(".series")
  .data(data)
  .enter().append("g")
  .attr("class", "series");
series.append("path")
  .attr("class", "line")
  .attr("d", function(d) {
    return line(d.data);
  })
  .style("stroke", function(d, i) {
    return z(i);
  });
text.inner-circle {
  font-weight: 400;
  font-size: 12px;
  text-transform: uppercase;
}
text.inner-text {
  font-weight: 400;
  font-size: 36px;
  font-family: 'Metric Regular', 'Metric';
  text-align: center;
  font-style: normal;
  text-transform: uppercase;
}
path {
  stroke: steelblue;
  stroke-width: 2;
  fill: none;
}
.axis path,
.axis line {
  fill: none;
  stroke: grey;
  stroke-width: 2;
  shape-rendering: crispEdges;
}
.grid .tick {
  stroke: lightgrey;
  stroke-opacity: 0.7;
  shape-rendering: crispEdges;
}
.grid path {
  stroke-width: 0;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>

请帮助我弄清楚我做错了什么。

法典

你只是错过了一个"回报"

x.domain(d3.extent(d3.merge(ary), function(d) {
  parseDate.parse(d[0]);
}));

应该是

x.domain(d3.extent(d3.merge(ary), function(d) {
  return parseDate.parse(d[0]);
}));

计算域时忘记返回 parseDate 值。

x.domain(d3.extent(d3.merge(ary), function(d) {
  return parseDate.parse(d[0]);
}));

https://jsfiddle.net/ermineia/jt5nnx5h/

如果更改数据中的值,您将看到那里有两行。

还可以尝试为线条改变颜色,以便更好地区分它们,如下所示:

var color = d3.scale.category10();
series.append("path")
  .attr("class", "line")
  .attr("d", function(d) {
    return line(d.data);
  })
  .style("stroke", function(d, i) {
    return color(i);
  });

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