我如何从基线中得出一个百分比? [英] How do I draw a percentage from baseline?

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问题描述

我希望根据每个数据点距均值的距离绘制一个简单的折线图. (高于,低于等的百分比).我正在根据

I'm looking to draw a simple line chart based off of each data point's distance from the mean. (% above, below, etc). I'm modeling it off of this

我似乎无法弄清楚的两个问题- 为什么我的线条图没有?我遍历了每一行,似乎无法弄清楚.

The two problems that I can't seem to figure out- Why isn't my line drawing? I've been through each line and can't seem to figure it out.

其次,我如何在y轴上缩小比例?缩放比例似乎都没有异常,我无法解决.我认为这与缩放有关.

Secondly, How do I take out the off- scaling on the y-axis? None of the scalings seems to be abnormal and I can't fix it. I assume it has to do with the scaling.

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

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

  x.domain(d3.extent(data, function(d) { return d.date; }));
  y.domain(d3.extent(data, function(d) { return d.ratio; }));

这是我的CodePen

我可能会缺少什么?我认为这是我刚刚还不了解d3的东西.非常感谢!

What might I be missing? I assume it's something I just haven't learned about d3 yet. Thanks so much!!

推荐答案

关于路径,代码中存在三个问题:

There are three problems in the code, regarding the path:

  1. 解析器命名为parseDate,而不是parseTime;
  2. 您必须首先解析字符串,然后才将其传递到x刻度,而不是相反:

  1. The parser is named parseDate, not parseTime;
  2. You have to parse the string first and only then passing it to the x scale, not the other way around:

line.x(function(d) { return x(parseDate(d.date)); });

  • 您必须分析字符串以设置域:

  • You have to parse the strings to set the domain:

    x.domain(d3.extent(data, function(d) { return parseDate(d.date); }));
    

  • 这是更新的CodePen: https://codepen.io/anon/pen/qMbRoQ?editors = 0011

    Here is the updated CodePen: https://codepen.io/anon/pen/qMbRoQ?editors=0011

    这是一个正在运行的代码段:

    And here a running snippet:

    var data = [{
        "date": "2018-08-22T14:53:37.267Z",
        "value": 2200000
      },
      {
        "date": "2018-08-21T14:53:37.267Z",
        "value": 7400000
      },
      {
        "date": "2018-08-20T14:53:37.267Z",
        "value": 9500000
      },
      {
        "date": "2018-08-19T14:53:37.267Z",
        "value": 9700000
      },
      {
        "date": "2018-08-18T14:53:37.267Z",
        "value": 7100000
      },
      {
        "date": "2018-08-17T14:53:37.267Z",
        "value": 4300000
      },
      {
        "date": "2018-08-16T14:53:37.267Z",
        "value": 2500000
      },
      {
        "date": "2018-08-15T14:53:37.267Z",
        "value": 2000000
      },
      {
        "date": "2018-08-14T14:53:37.267Z",
        "value": 6400000
      },
      {
        "date": "2018-08-13T14:53:37.267Z",
        "value": 9500000
      },
      {
        "date": "2018-08-12T14:53:37.267Z",
        "value": 100000
      },
      {
        "date": "2018-08-11T14:53:37.267Z",
        "value": 4800000
      },
      {
        "date": "2018-08-10T14:53:37.267Z",
        "value": 1400000
      },
      {
        "date": "2018-08-09T14:53:37.267Z",
        "value": 6100000
      },
      {
        "date": "2018-08-08T14:53:37.267Z",
        "value": 4400000
      },
      {
        "date": "2018-08-07T14:53:37.267Z",
        "value": 7000000
      },
      {
        "date": "2018-08-06T14:53:37.267Z",
        "value": 6100000
      },
      {
        "date": "2018-08-05T14:53:37.267Z",
        "value": 300000
      },
      {
        "date": "2018-08-04T14:53:37.267Z",
        "value": 2900000
      },
      {
        "date": "2018-08-03T14:53:37.268Z",
        "value": 2000000
      },
      {
        "date": "2018-08-02T14:53:37.268Z",
        "value": 300000
      },
      {
        "date": "2018-08-01T14:53:37.268Z",
        "value": 800000
      },
      {
        "date": "2018-07-31T14:53:37.268Z",
        "value": 1200000
      },
      {
        "date": "2018-07-30T14:53:37.268Z",
        "value": 9000000
      },
      {
        "date": "2018-07-29T14:53:37.268Z",
        "value": 8600000
      },
      {
        "date": "2018-07-28T14:53:37.268Z",
        "value": 6900000
      },
      {
        "date": "2018-07-27T14:53:37.268Z",
        "value": 3400000
      },
      {
        "date": "2018-07-26T14:53:37.268Z",
        "value": 8100000
      },
      {
        "date": "2018-07-25T14:53:37.268Z",
        "value": 2900000
      },
      {
        "date": "2018-07-24T14:53:37.268Z",
        "value": 6400000
      }
    ]
    
    var margin = {
        top: 30,
        right: 30,
        bottom: 40,
        left: 50
      },
      width = 960 - margin.left - margin.right,
      height = 500 - margin.top - margin.bottom;
    var formatPercent = d3.format("+.0%"),
      formatChange = function(x) {
        return formatPercent(x - 1);
      },
      parseDate = d3.time.format("%Y-%m-%dT%H:%M:%S.%LZ").parse;
    // var parseTime = d3.time.Parse("%Y-%m-%dT%H:%M:%S.%LZ");
    
    
    var x = d3.time.scale()
      .range([0, width]);
    
    var y = d3.scale.log()
      .range([height, 0]);
    
    var xAxis = d3.svg.axis()
      .scale(x)
      .orient("bottom");
    
    var yAxis = d3.svg.axis()
      .scale(y)
      .orient("left")
      .tickSize(-width, 0)
      .tickFormat(formatChange);
    
    var line = d3.svg.line()
      .x(function(d) {
        return x(parseDate(d.date));
      })
      .y(function(d) {
        return y(d.ratio);
      });
    
    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 gX = svg.append("g")
      .attr("class", "axis axis--x")
      .attr("transform", "translate(0," + height + ")");
    
    var gY = svg.append("g")
      .attr("class", "axis axis--y");
    
    gY.append("text")
      .attr("class", "axis-title")
      .attr("transform", "rotate(-90)")
      .attr("y", 6)
      .attr("dy", ".71em")
      .text("Change in Price");
    
    var baseValue = +data[6].value;
    console.log(baseValue)
    
    data.forEach(function(d) {
    
      d.date = d.date;
      console.log(d.date)
      d.ratio = d.value / baseValue;
      console.log(d.ratio)
    });
    
    
    // Compute price relative to base value (hypothetical purchase price).
    
    
    x.domain(d3.extent(data, function(d) {
      return parseDate(d.date);
    }));
    y.domain(d3.extent(data, function(d) {
      return d.ratio;
    }));
    
    // Use a second linear scale for ticks.
    yAxis.tickValues(d3.scale.linear()
      .domain(y.domain())
      .ticks(9));
    
    gX.call(xAxis);
    
    gY.call(yAxis)
      .selectAll(".tick")
      .classed("tick--one", function(d) {
        return Math.abs(d - 1) < 1e-6;
      });
    
    svg.append("path")
      .datum(data)
      .attr("class", "line")
      .attr("d", line);

    .axis {
      font: 10px sans-serif;
    }
    
    .axis-title {
      text-anchor: end;
    }
    
    .axis path,
    .axis line {
      fill: none;
      stroke: #000;
      shape-rendering: crispEdges;
    }
    
    .axis--x path {
      display: none;
    }
    
    .axis--y .tick:not(.tick--one) line {
      stroke-opacity: .15;
    }
    
    .line {
      fill: none;
      stroke: steelblue;
      stroke-width: 1.5px;
      stroke-linejoin: round;
      stroke-linecap: round;
    }

    <body>
      <script src="//d3js.org/d3.v3.min.js"></script>
    </body>

    PS:关于尚不明确的基准问题,我建议您发布一个新问题,并提供相关解释:在S.O上,每个问题都保留一个一个问题始终是一个好习惯.

    PS: Regarding the baseline issue, which is not clear, I suggest you post a new question, with the relevant explanation: it's always a good practice keeping one problem per question here at S.O.

    这篇关于我如何从基线中得出一个百分比?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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