d3.js日期与半小时热图不起作用

时间：2013-07-18 18:14:24

标签： d3.js

我正在尝试根据此http://bl.ocks.org/mbostock/3202354创建日期与时间热图 我想要做的改变： - ＆gt; x轴仍有日期 - ＆gt; y轴将以半小时为间隔（00：00：00,00：00：00,01：00：00,01：30：00等），每天24小时。因此48蜱

我已设法修改到目前为止的代码，如下所示。这两个问题是： 1. y轴没有标签 2.数据在x轴下方一个刻度

我是一个D3菜鸟（这是我第一次亲身实验）并且正在努力解决它。

d3 + html + css代码：

        <!DOCTYPE html>
        <meta charset="utf-8">
        <style>

body {
  font: 10px sans-serif;
}

.label {
  font-weight: bold;
}

.tile {
  shape-rendering: crispEdges;
}

.axis path,
.axis line {
  fill: none;
  stroke: #000;
  shape-rendering: crispEdges;
}

</style>
<body>
<script src="http://d3js.org/d3.v2.js?2.9.6"></script>
<script>

var margin = {top: 20, right: 90, bottom: 30, left: 50},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

var parseDate = d3.time.format("%m/%d/%Y").parse,
    formatDate = d3.time.format("%b %d");

var parseTimeBucket = d3.time.format("%H:%M:%S").parse,
    formatTimeBucket =d3.time.format("%H:%M");  

var StartTime = parseTimeBucket("00:00:00");
var EndTime = parseTimeBucket("23:59:59");  

var x = d3.time.scale().range([0, width]),
    y = d3.scale.linear().range([height, 0]),
    z = d3.scale.linear().range(["white", "black"]);

// The size of the buckets in the CSV data file.
// This could be inferred from the data if it weren't sparse.
var xStep = 864e5,
    yStep = 18e5;

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 + ")");

d3.csv("TimeDateHeatMap.csv", function(buckets) {

  // Coerce the CSV data to the appropriate types.
  buckets.forEach(function(d) {
    d.date = parseDate(d.date);
    d.bucket = parseTimeBucket(d.bucket);
    d.count = +d.count;
  });

  // Compute the scale domains.
  x.domain(d3.extent(buckets, function(d) { return d.date; }));
  y.domain([StartTime, EndTime]);
 // y.domain(d3.extent(buckets, function(d) { return d.bucket; }));
  //console.log(d3.extent(buckets, function(d) { return d.bucket; }));
  z.domain([0, d3.max(buckets, function(d) { return d.count; })]);

  // Extend the x- and y-domain to fit the last bucket.
  // For example, the y-bucket 3200 corresponds to values [3200, 3300].
  x.domain([x.domain()[0], +x.domain()[1] + xStep]);
  y.domain([y.domain()[0], +y.domain()[1] + yStep]);

  // Display the tiles for each non-zero bucket.
  // See http://bl.ocks.org/3074470 for an alternative implementation.
  svg.selectAll(".tile")
      .data(buckets)
    .enter().append("rect")
      .attr("class", "tile")
      .attr("x", function(d) { return x(d.date); })
      .attr("y", function(d) { return y(d.bucket); })
      .attr("width", x(xStep) - x(0))
      .attr("height", y(0) - y(yStep))
      .style("fill", function(d) { return z(d.count); });

  // Add a legend for the color values.
  var legend = svg.selectAll(".legend")
      .data(z.ticks(6).slice(1).reverse())
    .enter().append("g")
      .attr("class", "legend")
      .attr("transform", function(d, i) { return "translate(" + (width + 20) + "," + (20 + i * 20) + ")"; });

  legend.append("rect")
      .attr("width", 20)
      .attr("height", 20)
      .style("fill", z);

  legend.append("text")
      .attr("x", 26)
      .attr("y", 10)
      .attr("dy", ".35em")
      .text(String);

  svg.append("text")
      .attr("class", "label")
      .attr("x", width + 20)
      .attr("y", 10)
      .attr("dy", ".35em")
      .text("Count");

  // Add an x-axis with label.
  svg.append("g")
      .attr("class", "x axis")
      .attr("transform", "translate(0," + height + ")")
      .call(d3.svg.axis().scale(x).ticks(d3.time.days).tickFormat(formatDate).orient("bottom"))
    .append("text")
      .attr("class", "label")
      .attr("x", width)
      .attr("y", -6)
      .attr("text-anchor", "end")
      .text("Date");

  // Add a y-axis with label.
  svg.append("g")
      .attr("class", "y axis")
      //.call(d3.svg.axis().scale(y).orient("left"))
      .call(d3.svg.axis().scale(y).ticks(d3.time.minutes).tickFormat(formatTimeBucket).orient("left"))
    .append("text")
      .attr("class", "label")
      .attr("y", 6)
      .attr("dy", ".71em")
      .attr("text-anchor", "end")
      .attr("transform", "rotate(-90)")
      .text("Value");
});

</script>

TimeDateHeatMap.csv：

date,bucket,count
7/20/2012,00:00:00,119
7/20/2012,00:30:00,123
7/20/2012,01:00:00,173
7/20/2012,01:30:00,226
7/20/2012,02:00:00,284
7/20/2012,02:30:00,257
7/20/2012,03:00:00,268
7/20/2012,03:30:00,244
7/20/2012,04:00:00,191
7/20/2012,04:30:00,204
7/20/2012,05:00:00,187
7/20/2012,05:30:00,177
7/20/2012,06:00:00,164
7/20/2012,06:30:00,125
7/20/2012,07:00:00,140
7/20/2012,07:30:00,109
7/20/2012,08:00:00,103
7/21/2012,08:30:00,123
7/21/2012,09:00:00,165
7/21/2012,09:30:00,237
7/21/2012,10:00:00,278
7/21/2012,10:30:00,338
7/21/2012,11:00:00,306
7/21/2012,11:30:00,316
7/21/2012,12:00:00,269
7/21/2012,12:30:00,271
7/21/2012,13:00:00,241
7/21/2012,13:30:00,188
7/21/2012,14:00:00,174
7/21/2012,14:30:00,158
7/21/2012,15:00:00,153
7/21/2012,15:30:00,132
7/22/2012,16:00:00,154
7/22/2012,16:30:00,241
7/22/2012,17:00:00,246
7/22/2012,17:30:00,300
7/22/2012,18:00:00,305
7/22/2012,18:30:00,301
7/22/2012,19:00:00,292
7/22/2012,19:30:00,253
7/22/2012,20:00:00,251
7/22/2012,20:30:00,214
7/22/2012,21:00:00,189
7/22/2012,21:30:00,179
7/22/2012,22:00:00,159
7/22/2012,22:30:00,161
7/22/2012,23:00:00,144
7/22/2012,23:30:00,139
7/22/2012,00:00:00,132
7/22/2012,00:30:00,136
7/22/2012,01:00:00,105
7/23/2012,01:30:00,120
7/23/2012,02:00:00,156
7/23/2012,02:30:00,209
7/23/2012,03:00:00,267
7/23/2012,03:30:00,299
7/23/2012,04:00:00,316
7/23/2012,04:30:00,318
7/23/2012,05:00:00,307
7/23/2012,05:30:00,295
7/23/2012,06:00:00,273
7/23/2012,06:30:00,283
7/23/2012,07:00:00,229
7/23/2012,07:30:00,192
7/23/2012,08:00:00,193
7/23/2012,08:30:00,170
7/23/2012,09:00:00,164
7/23/2012,09:30:00,154
7/23/2012,10:00:00,138
7/23/2012,10:30:00,101
7/23/2012,11:00:00,115
7/23/2012,11:30:00,103
7/24/2012,12:00:00,105
7/24/2012,12:30:00,156
7/24/2012,13:00:00,220
7/24/2012,13:30:00,255
7/24/2012,14:00:00,308
7/24/2012,14:30:00,338
7/24/2012,15:00:00,318
7/24/2012,15:30:00,255
7/24/2012,16:00:00,278
7/24/2012,16:30:00,260
7/24/2012,17:00:00,235
7/24/2012,17:30:00,230
7/24/2012,18:00:00,185
7/24/2012,18:30:00,145
7/24/2012,19:00:00,147
7/24/2012,19:30:00,157
7/24/2012,20:00:00,109
7/25/2012,20:30:00,104
7/25/2012,21:00:00,191
7/25/2012,21:30:00,201
7/25/2012,22:00:00,238
7/25/2012,22:30:00,223
7/25/2012,23:00:00,229
7/25/2012,23:30:00,286
7/25/2012,00:00:00,256
7/25/2012,00:30:00,240
7/25/2012,01:00:00,233
7/25/2012,01:30:00,202
7/25/2012,02:00:00,180
7/25/2012,02:30:00,184
7/25/2012,03:00:00,161
7/25/2012,03:30:00,125
7/25/2012,04:00:00,110
7/25/2012,04:30:00,101
7/26/2012,05:00:00,132
7/26/2012,05:30:00,117
7/26/2012,06:00:00,124
7/26/2012,06:30:00,154
7/26/2012,07:00:00,167
7/26/2012,07:30:00,137
7/26/2012,08:00:00,169
7/26/2012,08:30:00,175
7/26/2012,09:00:00,168
7/26/2012,09:30:00,188
7/26/2012,10:00:00,137
7/26/2012,10:30:00,173
7/26/2012,11:00:00,164
7/26/2012,11:30:00,167
7/26/2012,12:00:00,115
7/26/2012,12:30:00,116
7/26/2012,13:00:00,118
7/26/2012,13:30:00,125
7/26/2012,14:00:00,104

对原始mbostock代码的更改：它们主要集中在y轴上，而x xis与原始xeis相同。因为原始的mbostock代码在y轴上有数字，而我需要在y轴上有48个半小时的间隔桶

我添加了以下内容，以便稍后我可以创建y轴的次数：

var parseTimeBucket = d3.time.format("%H:%M:%S").parse,
    formatTimeBucket =d3.time.format("%H:%M");

然后以这种方式更改域名：

var StartTime = parseTimeBucket("00:00:00");
var EndTime = parseTimeBucket("23:59:59");   
y.domain([StartTime, EndTime]);

除了xstep之外还添加了ystep。 ystep对应30分钟的间隔

var xStep = 864e5,
    yStep = 18e5;

然后最后构建轴我改变了第三行（.call ...）

svg.append("g")
      .attr("class", "y axis")
       .call(d3.svg.axis().scale(y).ticks(d3.time.minutes, 30).tickFormat(formatTimeBucket).orient("left"))
    .append("text")
      .attr("class", "label")
      .attr("y", 6)
      .attr("dy", ".71em")
      .attr("text-anchor", "end")
      .attr("transform", "rotate(-90)")
      .text("Value");

1 个答案:

答案 0 :(得分：1)

您使用的y轴的比例是线性比例。您正在使用.ticks(d3.time.minutes)为该比例设置轴的刻度。您只能在时间尺度上执行此操作，而不能使用线性刻度。如果你改变计算滴答的方式或它应该有效的缩放类型。

相关问题
最新问题