Vega分面条形图按字段a升序排序及对应坐标轴配置问题

问题1：分面按字段"a"升序排序 #

• 解决思路：分面的排序由trellis数据集的顺序决定，直接在该数据集的转换规则中新增排序步骤即可，不需要额外配置scale。
• 修改位置：找到data数组下名为trellis的数据集，在aggregate（groupby为["a"]）的转换步骤后添加排序转换：

{
  "type": "sort",
  "field": "a",
  "order": "ascending"
}

问题2：展示字段"a"对应的坐标轴 #

• 解决思路：新增一个对应分面维度的band scale，再绑定到新的坐标轴上即可，轴可放在左右两侧（因当前分面为纵向排列，若要放在上下侧需要调整分面为横向排列）。
• 第一步：在根节点的scales数组中新增分面维度的scale：

{
  "name": "trellisScale",
  "type": "band",
  "domain": {"data": "trellis", "field": "a", "sort": true},
  "range": [0, {"signal": "trellisExtent[1]"}],
  "paddingOuter": 0
}

• 第二步：在根节点的axes数组中新增对应的坐标轴：

{
  "orient": "right",
  "scale": "trellisScale",
  "title": "a",
  "domain": true,
  "ticks": true,
  "labelAlign": "left"
}

修改后完整代码 #

{
  "$schema": "https://vega.github.io/schema/vega/v5.json",
  "description": "A nested bar chart example, with bars grouped by category.",
  "width": 300,
  "padding": 5,
  "autosize": "pad",

  "signals": [
    {
      "name": "rangeStep", "value": 20,
      "bind": {"input": "range", "min": 5, "max": 50, "step": 1}
    },
    {
      "name": "innerPadding", "value": 0.1,
      "bind": {"input": "range", "min": 0, "max": 0.7, "step": 0.01}
    },
    {
      "name": "outerPadding", "value": 0.2,
      "bind": {"input": "range", "min": 0, "max": 0.4, "step": 0.01}
    },
    {
      "name": "height",
      "update": "trellisExtent[1]"
    }
  ],

  "data": [
    {
      "name": "tuples",
      "values": [
        {"a": 1, "b": "b", "c": 4.4},
        {"a": 0, "b": "c", "c": 5.1},
        {"a": 0, "b": "a", "c": 6.3},
        {"a": 0, "b": "a", "c": 4.2},
        {"a": 0, "b": "b", "c": 6.8},
        {"a": 2, "b": "b", "c": 3.5},
        {"a": 2, "b": "c", "c": 6.2}
      ],
      "transform": [
        {
          "type": "aggregate",
          "groupby": ["a", "b"],
          "fields": ["c"],
          "ops": ["average"],
          "as": ["c"]
        }
      ]
    },
    {
      "name": "trellis",
      "source": "tuples",
      "transform": [
        {
          "type": "aggregate",
          "groupby": ["a"]
        },
        {
          "type": "sort",
          "field": "a",
          "order": "ascending"
        },
        {
          "type": "formula", "as": "span",
          "expr": "rangeStep * bandspace(datum.count, innerPadding, outerPadding)"
        },
        {
          "type": "stack",
          "field": "span"
        },
        {
          "type": "extent",
          "field": "y1",
          "signal": "trellisExtent"
        }
      ]
    }
  ],

  "scales": [
    {
      "name": "xscale",
      "domain": {"data": "tuples", "field": "c"},
      "nice": true,
      "zero": true,
      "round": true,
      "range": "width"
    },
    {
      "name": "color",
      "type": "ordinal",
      "range": "category",
      "domain": {"data": "trellis", "field": "a"}
    },
    {
      "name": "trellisScale",
      "type": "band",
      "domain": {"data": "trellis", "field": "a", "sort": true},
      "range": [0, {"signal": "trellisExtent[1]"}],
      "paddingOuter": 0
    }
  ],

  "axes": [
    { "orient": "bottom", "scale": "xscale", "domain": true },
    {
      "orient": "right",
      "scale": "trellisScale",
      "title": "a",
      "domain": true,
      "ticks": true,
      "labelAlign": "left"
    }
  ],

  "marks": [
    {
      "type": "group",

      "from": {
        "data": "trellis",
        "facet": {
          "name": "faceted_tuples",
          "data": "tuples",
          "groupby": "a"
        }
      },

      "encode": {
        "enter": {
          "x": {"value": 0},
          "width": {"signal": "width"}
        },
        "update": {
          "y": {"field": "y0"},
          "y2": {"field": "y1"}
        }
      },

      "scales": [
        {
          "name": "yscale",
          "type": "band",
          "paddingInner": {"signal": "innerPadding"},
          "paddingOuter": {"signal": "outerPadding"},
          "round": true,
          "domain": {"data": "faceted_tuples", "field": "b"},
          "range": {"step": {"signal": "rangeStep"}}
        }
      ],

      "axes": [
        { "orient": "left", "scale": "yscale",
          "ticks": false, "domain": false, "labelPadding": 4 }
      ],

      "marks": [
        {
          "type": "rect",
          "from": {"data": "faceted_tuples"},
          "encode": {
            "enter": {
              "x": {"value": 0},
              "x2": {"scale": "xscale", "field": "c"},
              "fill": {"scale": "color", "field": "a"},
              "strokeWidth": {"value": 2}
            },
            "update": {
              "y": {"scale": "yscale", "field": "b"},
              "height": {"scale": "yscale", "band": 1},
              "stroke": {"value": null},
              "zindex": {"value": 0}
            },
            "hover": {
              "stroke": {"value": "firebrick"},
              "zindex": {"value": 1}
            }
          }
        }
      ]
    }
  ]
}

内容的提问来源于stack exchange，提问作者Christian