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在热力图中选择一个单元格

heatmapechartsapache-echarts
3
我正在查看ECharts中的笛卡尔热力图。我想要选择热力图中的特定单元格并显示其信息。有一个名为selectedMode的属性，我们可以将其设置为'single'以进行单选，'multiple'以进行多选（链接到文档）。我将其设置为单选，但是在点击单元格时它选择了整列。有人能帮忙找出问题所在吗？链接到示例。
1个回答
2

2023-07-03 更新

未来预计会对此进行改进，因为数据在原始数组中也可以区分开来，每个记录在数组中都有自己的ID，所以不需要单独的唯一标识。

echarts pr 18835 状态 Echarts PR - fix(select): fix selection key get, use id before use name


解决方案

原因是没有名称的数据将被分配一个默认名称来自类别轴。因此，同一列上的单元格将具有相同的名称。这种设计主要用于柱状图和折线图。但在热力图中可能会出现选择问题，因为具有相同名称的数据将全部被选中。

解决方案是为每个单元格数据项分配一个唯一的名称。

pissang的评论

Echarts热力图series.data的结构如下：series-heatmap.data

从这里可以看出，Echarts热力图接受数组的数组，就像您提供的那样，也接受对象的数组（正如pissang所建议的）。在后一种情况下，我们保留子数组作为value键的值，保持不变。

在您的代码中，每个单元格都没有“唯一”的名称。

const data = [
  // hour, day, value
  [0, 0, 5],
  [1, 0, 1],
  [2, 0, "-"],
  // ...
]

相反，你应该传递具有两个键的对象：name和value。 name将是唯一的名称，而value将是三个轴的原始值。
const data = [
  // name: unique, value: [hour, day, value]
  { name: "0_0", value: [0, 0, 5] },
  { name: "1_0", value: [1, 0, 1] },
  { name: "2_0", value: [2, 0, "-"] },
  // ...
]

由于您的“z”和“x”轴的配对从未重复，这意味着您没有在同一时间记录两个值的情况，比如早上9点，这种配对可以作为一个完美的唯一名称。我们可以编写一个函数来相应地转换您的数组。 

const data = [
  // hour, day, value
  [0, 0, 5],
  [1, 0, 1],
  [2, 0, "-"],
  // ...
]

/**
 ** Add Name to Cells
 * - on current example, x = hour, z = day, y = value
 */
const transform = (d) => d.map(([x, z, y]) => ({
  name: `${x}_${z}`,
  value: [x, z, y]
}))

/**
 ** Test
 */
console.log(transform(data))

示例

/**
 ** Add Name to Cells
 * - on current example, x = hour, z = day, y = value
 */
const transform = (d) => d.map(([x, z, y]) => ({
  name: `${x}_${z}`,
  value: [x, z, y]
}))

/**
 ** Initialize
 */
const chartDom = document.getElementById('chart')
const chart = echarts.init(chartDom)

/**
 ** Data
 */
const data = [[0, 0, 5], [0, 1, 1], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [0, 8, 0], [0, 9, 0], [0, 10, 0], [0, 11, 2], [0, 12, 4], [0, 13, 1], [0, 14, 1], [0, 15, 3], [0, 16, 4], [0, 17, 6], [0, 18, 4], [0, 19, 4], [0, 20, 3], [0, 21, 3], [0, 22, 2], [0, 23, 5], [1, 0, 7], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [1, 8, 0], [1, 9, 0], [1, 10, 5], [1, 11, 2], [1, 12, 2], [1, 13, 6], [1, 14, 9], [1, 15, 11], [1, 16, 6], [1, 17, 7], [1, 18, 8], [1, 19, 12], [1, 20, 5], [1, 21, 5], [1, 22, 7], [1, 23, 2], [2, 0, 1], [2, 1, 1], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [2, 8, 0], [2, 9, 0], [2, 10, 3], [2, 11, 2], [2, 12, 1], [2, 13, 9], [2, 14, 8], [2, 15, 10], [2, 16, 6], [2, 17, 5], [2, 18, 5], [2, 19, 5], [2, 20, 7], [2, 21, 4], [2, 22, 2], [2, 23, 4], [3, 0, 7], [3, 1, 3], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [3, 8, 1], [3, 9, 0], [3, 10, 5], [3, 11, 4], [3, 12, 7], [3, 13, 14], [3, 14, 13], [3, 15, 12], [3, 16, 9], [3, 17, 5], [3, 18, 5], [3, 19, 10], [3, 20, 6], [3, 21, 4], [3, 22, 4], [3, 23, 1], [4, 0, 1], [4, 1, 3], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 1], [4, 6, 0], [4, 7, 0], [4, 8, 0], [4, 9, 2], [4, 10, 4], [4, 11, 4], [4, 12, 2], [4, 13, 4], [4, 14, 4], [4, 15, 14], [4, 16, 12], [4, 17, 1], [4, 18, 8], [4, 19, 5], [4, 20, 3], [4, 21, 7], [4, 22, 3], [4, 23, 0], [5, 0, 2], [5, 1, 1], [5, 2, 0], [5, 3, 3], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [5, 8, 2], [5, 9, 0], [5, 10, 4], [5, 11, 1], [5, 12, 5], [5, 13, 10], [5, 14, 5], [5, 15, 7], [5, 16, 11], [5, 17, 6], [5, 18, 0], [5, 19, 5], [5, 20, 3], [5, 21, 4], [5, 22, 2], [5, 23, 0], [6, 0, 1], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [6, 7, 0], [6, 8, 0], [6, 9, 0], [6, 10, 1], [6, 11, 0], [6, 12, 2], [6, 13, 1], [6, 14, 3], [6, 15, 4], [6, 16, 0], [6, 17, 0], [6, 18, 0], [6, 19, 0], [6, 20, 1], [6, 21, 2], [6, 22, 2], [6, 23, 6]]
    .map((item) => [item[1], item[0], item[2] || '-'])

/**
 ** Option
 */
option = {
  tooltip: {
    position: "top"
  },
  animation: false,
  grid: {
    height: "50%",
    top: "10%"
  },
  xAxis: {
    type: "category",
    data: ["12a", "1a", "2a", "3a", "4a", "5a", "6a", "7a", "8a", "9a", "10a", "11a", "12p", "1p", "2p", "3p", "4p", "5p", "6p", "7p", "8p", "9p", "10p", "11p"],
    splitArea: {
      show: true
    }
  },
  yAxis: {
    type: "category",
    data: ["Saturday", "Friday", "Thursday", "Wednesday", "Tuesday", "Monday", "Sunday"],
    splitArea: {
      show: true
    }
  },
  visualMap: {
    min: 0,
    max: 10,
    calculable: true,
    orient: "horizontal",
    left: "center",
    bottom: "15%"
  },
  series: [{
    name: "Punch Card",
    type: "heatmap",
    selectedMode: 'single',
    data: transform(data)
  }]
}

/**
 ** Render Chart
 */
chart.setOption(option)
<script src="https://cdnjs.cloudflare.com/ajax/libs/echarts/5.4.2/echarts.min.js" integrity="sha512-VdqgeoWrVJcsDXFlQEKqE5MyhaIgB9yXUVaiUa8DR2J4Lr1uWcFm+ZH/YnzV5WqgKf4GPyHQ64vVLgzqGIchyw==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>

<div id="chart" style="width: 600px; height: 300px;"></div>

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