JSON和D3,仅更改子键名,但保留父级

时间:2018-02-12 15:38:24

标签: javascript json d3.js

为了让我的D3图表正常工作,我需要孩子的名字不是“关键”而是“标签”。父母仍然需要“关键”。

这是我的代码和输出。下面是我试过的一些事情,没有成功。

拉伸目标,如果可能的话:我不一定要“硬编码”它。我希望能够将孩子名字的任何级别(在这种情况下只是第一级)改为我想要的任何级别(在这种情况下为“标签”)。

var csv = `breakfastItem,gluten,breakfastItemType,month,year,dateCode,value
Bagel,Yes,Cinnamon Raisin,May,2017,42856,300
Bagel,Yes,Cinnamon Raisin,March,2017,42795,100
Bagel,Yes,Cinnamon Raisin,November,2016,42675,20
Bagel,Yes,Blueberry,February,2017,42767,50
Bagel,Yes,Blueberry,November,2016,42675,30
Bagel,Yes,Blueberry,March,2016,42430,100
Bagel,Yes,Plain,February,2018,43132,200
Bagel,Yes,Plain,December,2017,43070,202
Bagel,Yes,Plain,February,2016,42401,201`;

var data = d3.csvParse(csv, function(d) {
  d.value = +d.value;
  d.year = +d.year;
  d.dateCode = +d.dateCode;
  return d;
});

var breakfastCombinations = d3.nest()
  .key(function(d) {
    return d.breakfastItem;
  })
  .key(function(d) {
    return d.breakfastItemType;
  })
  .rollup(function(oldestDate) {
    return oldestDate.sort(function(a, b) {
      return b.dateCode - a.dateCode
    })[0].value
  })
  .entries(data);

console.log(breakfastCombinations)
<script src="https://d3js.org/d3.v4.min.js"></script>

here的例子是我第一眼看到的。

var expenseMetrics = d3.nest()
  .key(function(d) { return d.name; })
  .rollup(function(v) { return {
    count: v.length,
    total: d3.sum(v, function(d) { return d.amount; }),
    avg: d3.mean(v, function(d) { return d.amount; })
}; })

第二个例子是我认为可行的,但我不确定如何访问孩子,而不仅仅是父母。

breakfastCombinations.forEach(function(d) {
  d.label = d.key;
});

提前致谢!

1 个答案:

答案 0 :(得分:1)

您可以使用d3.map来映射项目:

例如,如果您要查找从“key”到“label”的父映射,请使用以下命令:

.entries(data).map(function(group) {
  // parent mapping
  return {label: group.key, values: group.values};
})

var csv = `breakfastItem,gluten,breakfastItemType,month,year,dateCode,value
Bagel,Yes,Cinnamon Raisin,May,2017,42856,300
Bagel,Yes,Cinnamon Raisin,March,2017,42795,100
Bagel,Yes,Cinnamon Raisin,November,2016,42675,20
Bagel,Yes,Blueberry,February,2017,42767,50
Bagel,Yes,Blueberry,November,2016,42675,30
Bagel,Yes,Blueberry,March,2016,42430,100
Bagel,Yes,Plain,February,2018,43132,200
Bagel,Yes,Plain,December,2017,43070,202
Bdagel,Yes,Plain,December,2017,43070,202
Bagel,Yes,Plain,February,2016,42401,201`;

var data = d3.csvParse(csv, function(d) {
  d.value = +d.value;
  d.year = +d.year;
  d.dateCode = +d.dateCode;
  return d;
});

var breakfastCombinations = d3.nest()
  .key(function(d) {
    return d.breakfastItem;
  })
  .key(function(d) {
    return d.breakfastItemType;
  })
  .rollup(function(oldestDate) {
    return oldestDate.sort(function(a, b) {
      return b.dateCode - a.dateCode
    })[0].value
  })
  .entries(data).map(function(group) {
		// parent mapping
    return {label: group.key, values: group.values};
  })

console.log(breakfastCombinations);
<script src="https://d3js.org/d3.v4.min.js"></script>

如果您正在寻找儿童地图,请使用以下内容:

.entries(data).map(function(group) {
    // children mapping
    return {key: group.key, values: group.values.map(function(d) { return {label: d.key, value: d.value}})};
})

var csv = `breakfastItem,gluten,breakfastItemType,month,year,dateCode,value
Bagel,Yes,Cinnamon Raisin,May,2017,42856,300
Bagel,Yes,Cinnamon Raisin,March,2017,42795,100
Bagel,Yes,Cinnamon Raisin,November,2016,42675,20
Bagel,Yes,Blueberry,February,2017,42767,50
Bagel,Yes,Blueberry,November,2016,42675,30
Bagel,Yes,Blueberry,March,2016,42430,100
Bagel,Yes,Plain,February,2018,43132,200
Bagel,Yes,Plain,December,2017,43070,202
Bdagel,Yes,Plain,December,2017,43070,202
Bagel,Yes,Plain,February,2016,42401,201`;

var data = d3.csvParse(csv, function(d) {
  d.value = +d.value;
  d.year = +d.year;
  d.dateCode = +d.dateCode;
  return d;
});

var breakfastCombinations = d3.nest()
  .key(function(d) {
    return d.breakfastItem;
  })
  .key(function(d) {
    return d.breakfastItemType;
  })
  .rollup(function(oldestDate) {
    return oldestDate.sort(function(a, b) {
      return b.dateCode - a.dateCode
    })[0].value
  })
  .entries(data).map(function(group) {
		// children mapping
    return {key: group.key, values: group.values.map(function(d) { return {label: d.key, value: d.value}})};
  })

console.log(breakfastCombinations);
<script src="https://d3js.org/d3.v4.min.js"></script>

基本上,您可以根据要求使用d3.map操作数组。

希望这有帮助。