如何使用d3制作持续时间的条形图? [英] How to make a bar chart for time duration with d3?

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问题描述

这个问题很简单,但是我真的不知道该怎么做,也不知道如何格式化我的数据.

The question is quite simple but I don't really know how to do it nor how to format my data.

我只想制作一个类似于此示例的简单条形图: http://bl.ocks. org/mbostock/3885304

I just want to make a simple bar chart like this example : http://bl.ocks.org/mbostock/3885304

但不是在X轴上显示A,B,C等,而是几天(16/01/2017、17/01/2017等),而在Z轴上我想要一个持续时间.最长为24小时.实际上,我每天都有json格式的数据,以秒为值.

But instead of having A, B, C, etc on X Axis it'll be days (16/01/2017, 17/01/2017, etc.) and on Z Axis I want a time duration. Max will be 24 hours. I actually have json formatted data for each days with seconds as value.

[
  {
    "date": "2017-01-08",
    "uptime": 40320,
  },
  {
    "date": "2017-01-09",
    "uptime": 74460,
  },
  {
    "date": "2017-01-10",
    "uptime": 73500,
  },
  {
    "date": "2017-01-11",
    "uptime": 83640,
  },
  {
    "date": "2017-01-12",
    "uptime": 68520,
  }
]

有任何提示吗?

推荐答案

您的数据格式正确.只需在链接的示例中换掉变量名即可; date表示letteruptime表示frequency.最后,由于您的数据已经在JSON中,因此您可以内联到<script>标记:

Your data is formatted fine. Just swap out the variable names in the linked example; date for letter and uptime for frequency. Finally since your data is already in JSON, you can inline into the <script> tag:

<!DOCTYPE html>
<meta charset="utf-8">
<style>
  .bar {
    fill: steelblue;
  }
  
  .bar:hover {
    fill: brown;
  }
  
  .axis--x path {
    display: none;
  }
</style>
<svg width="960" height="500"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
  var svg = d3.select("svg"),
    margin = {
      top: 20,
      right: 20,
      bottom: 30,
      left: 40
    },
    width = +svg.attr("width") - margin.left - margin.right,
    height = +svg.attr("height") - margin.top - margin.bottom;

  var x = d3.scaleBand().rangeRound([0, width]).padding(0.1),
    y = d3.scaleLinear().rangeRound([height, 0]);

  var g = svg.append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

  var data = [{
    "date": "2017-01-08",
    "uptime": 40320,
  }, {
    "date": "2017-01-09",
    "uptime": 74460,
  }, {
    "date": "2017-01-10",
    "uptime": 73500,
  }, {
    "date": "2017-01-11",
    "uptime": 83640,
  }, {
    "date": "2017-01-12",
    "uptime": 68520,
  }]

  data.forEach(function(d){
    d.uptime = d.uptime / 3600;
  });

  x.domain(data.map(function(d) {
    return d.date;
  }));
  y.domain([0, d3.max(data, function(d) {
    return d.uptime;
  })]);

  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("text-anchor", "end")
    .text("Frequency");

  g.selectAll(".bar")
    .data(data)
    .enter().append("rect")
    .attr("class", "bar")
    .attr("x", function(d) {
      return x(d.date);
    })
    .attr("y", function(d) {
      return y(d.uptime);
    })
    .attr("width", x.bandwidth())
    .attr("height", function(d) {
      return height - y(d.uptime);
    });
</script>

这篇关于如何使用d3制作持续时间的条形图?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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