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如何对JSON数据进行分组并在D3js中生成每组的图形

json d3.js graph

如何对JSON数据进行分组并在D3js中生成每组的图形,json,d3.js,graph,underscore.js,Json,D3.js,Graph,Underscore.js,我已经使用以下代码创建了D3js图 <!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/javascrip

我已经使用以下代码创建了D3js图

<!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 src="http://underscorejs.org/underscore.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 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 formatPercent = d3.format("0");

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]) + ")");

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) {
      return {x: parse(d.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; }));
  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>
因此，上面的代码将输出显示为10个给定行的图形。我一年有365排。所以，我想为一周创建一组天（一周7天）。简而言之，我想为每一周创建一个图表，而我有全年的数据。我听说可以使用
下划线.js
。如果有人能帮我，那就太好了。
提前感谢

此解决方案按周数对数据进行分组（用于计算周数），然后映射每个组，以类似以下内容结束：

[
   { week: 1, totalAllocated: 43.6, totalUnallocated: 23.56 },
   { week: 2, totalAllocated: 11.3, totalUnallocated: 16.68 }
   ...
]

var weekNumber = function(thingy){
    return moment(thingy.date).week();
}

var sumAllocated = function(total, thingy){
    return total + parseFloat(thingy.allocated);
}

var sumUnallocated = function(total, thingy){
    return total + parseFloat(thingy.unallocated);
}

var groups = _.groupBy(test, weekNumber);

var weeklyBreakdown = _.map(groups, function(group, week){
    return {
        week: week,
        totalAllocated : _.reduce(group, sumAllocated, 0),
        totalUnallocated : _.reduce(group, sumUnallocated, 0),
    };
});

[
   { week: 1, totalAllocated: 43.6, totalUnallocated: 23.56 },
   { week: 2, totalAllocated: 11.3, totalUnallocated: 16.68 }
   ...
]

var weekNumber = function(thingy){
    return moment(thingy.date).week();
}

var sumAllocated = function(total, thingy){
    return total + parseFloat(thingy.allocated);
}

var sumUnallocated = function(total, thingy){
    return total + parseFloat(thingy.unallocated);
}

var groups = _.groupBy(test, weekNumber);

var weeklyBreakdown = _.map(groups, function(group, week){
    return {
        week: week,
        totalAllocated : _.reduce(group, sumAllocated, 0),
        totalUnallocated : _.reduce(group, sumUnallocated, 0),
    };
});