Question

我正在做一些d3JS编程来生成带有JSON数据的图形。

{
  "test": [
    {"date":"1/5/2014","allocated":"14.14","unallocated":"7.14"},
    {"date":"1/6/2014","allocated":"10.38","unallocated":"1.14"},
    {"date":"1/7/2014","allocated":"1.43","unallocated":"3.14"},
    {"date":"1/8/2014","allocated":"12","unallocated":"6.14"},
    {"date":"1/9/2014","allocated":"13.34","unallocated":"4.44"},
    {"date":"1/10/2014","allocated":"6.34","unallocated":"1.14"},
    {"date":"1/11/2014","allocated":"8.34","unallocated":"2.14"},
    {"date":"1/12/2014","allocated":"6.88","unallocated":"4.14"},
    {"date":"1/13/2014","allocated":"23.34","unallocated":"2.14"},
    {"date":"1/14/2014","allocated":"3.34","unallocated":"0.14"}
  ]
}

我面临的问题是：在X-axis上，它会从给定的jSON文件中获取所有行。我的需求是，每周排序几天。换句话说，我有'n'行数，我想只显示一周的天数，然后点击'下一步按钮'就会显示其他日期。

所以请帮我排序并只显示一行7行，然后它应该跟随NEXT按钮的下一行7行。提前致谢。如果需要，我可以提供d3js代码。我有一个线索，可以在momentJS或者unfcoreJS

的帮助下完成

我的index.html文件如下所示

<!DOCTYPE html>
<html>
  <head>
    <title>Bar Graph</title>
    <script type="text/javascript" src="http://mbostock.github.com/d3/d3.js?1.29.1"></script>
    <script type="text/javascript" src="http://mbostock.github.com/d3/d3.layout.js?1.29.1"></script>
    <script type="text/javascript" src="http://mbostock.github.com/d3/d3.time.js?1.29.1"></script>
    <script type="text/javascript" src="http://mbostock.github.com/d3/d3.csv.js?1.29.1"></script>
    <script type="text/javascript" src="/node_modules/underscore/underscore-min.js"></script>
    <script type="text/javascript" src="/node_modules/moment/moment.js"></script>
    <script type="text/javascript" src="http://documentcloud.github.com/underscore/underscore-min.js"></script>
    <script type="text/javascript" src="http://momentjs.com/downloads/moment.js"></script>
    <style type="text/css">

      svg {
        width: 550px;
        height: 500px;
        border: solid 1px #ccc;
        font: 10px sans-serif;
        shape-rendering: crispEdges;
      }

    </style>
  </head>
  <body>
    <script type="text/javascript">

      // var week = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"];

      var w = 550,
          h = 500,
          p = [20, 30, 30, 20],
          x = d3.scale.ordinal().rangeRoundBands([0, w - p[1] - p[3]]),
          y = d3.scale.linear().range([0, h - p[0] - p[2]]),
          z = d3.scale.ordinal().range(["lightpink", "lightblue"]),

          parse = d3.time.format("%m/%d/%Y").parse,
          format = d3.time.format("%a");

      var svg = d3.select("body").append("svg:svg")
      .attr("width", w)
      .attr("height", h)
      .append("svg:g")
      .attr("transform", "translate(" + p[3] + "," + (h - p[2]) + ")");
      var t

      d3.json("test.json", function(test) {
        // Transpose the data into layers by cause.
        var causes = d3.layout.stack()(["allocated", "unallocated"].map(function(cause) {

          return test.test.map(function(d) {
            // var temp = _.each(test, function(record){
            date = parse(d.date);
            array = [date]
            // console.log(array)

            var week = d3.time.format("%U");

            var nest = d3.nest()
            .key(function(d) {
              return week(new Date(array));
            })

            .entries(array);
            console.log(week)

            return {x: date, y: +d[cause]};
          });
        }));

        // Compute the x-domain (by date) and y-domain (by top).
        x.domain(causes[0].map(function(d) { return d.x; }));
        console.log(x)
        y.domain([0, d3.max(causes[causes.length - 1], function(d) { return d.y0 + d.y; })]);

        // Add a group for each cause.
        var cause = svg.selectAll("g.cause")
        .data(causes)
        .enter().append("svg:g")
        .attr("class", "cause")
        .style("fill", function(d, i) { return z(i); })
        .style("stroke", function(d, i) { return d3.rgb(z(i)).darker(); });

        // Add a rect for each date.
        var rect = cause.selectAll("rect")
        .data(Object)
        .enter().append("svg:rect")
        .attr("x", function(d) { return x(d.x); })
        .attr("y", function(d) { return -y(d.y0) - y(d.y); })
        .attr("height", function(d) { return y(d.y); })
        .attr("width", x.rangeBand());

        // Add a label per date.
        var label = svg.selectAll("text")
        .data(x.domain())
        .enter().append("svg:text")
        .attr("x", function(d) { return x(d) + x.rangeBand() / 2; })
        .attr("y", 6)
        .attr("text-anchor", "middle")
        .attr("dy", ".71em")
        .text(format);

        // Add y-axis rules.
        var rule = svg.selectAll("g.rule")
        .data(y.ticks(5))
        .enter().append("svg:g")
        .attr("class", "rule")
        .attr("transform", function(d) { return "translate(0," + -y(d) + ")"; });

        rule.append("svg:line")
        .attr("x2", w - p[1] - p[3])
        .style("stroke", function(d) { return d ? "#fff" : "#000"; })
        .style("stroke-opacity", function(d) { return d ? .7 : null; });

        rule.append("svg:text")
        .attr("x", w - p[1] - p[3] + 6)
        .attr("dy", ".35em")
        .text(d3.format(",d"));
      });
    </script>
    <tr>
      <!-- <td>Previous</td> -->
      <td>Next</td>
    </tr>
  </body>
</html>

然而X轴不是我想要的输出

Answer 1

您可以使用d3.nest()将数据分组为周数

首先，我们需要定义一个时间解析器，它将为您提供日期对象的周数

var week = d3.time.format("%U");

然后创建一个嵌套对象

var nest = d3.nest()
    .key(function (d) {
         return week(new Date(d.date));
    })
    .entries(data.test);

嵌套对象将是一个数组，其中包含分组为周数的数据

可以在http://jsfiddle.net/1bf2cqw3/找到包含您数据的实时演示您可以在控制台中查看嵌套对象

如何根据日历将JSON数据分组到几周内？

1 个答案: