如何从我的轴中省略值为零的年份

Question

我正在制作一个包含 4 年数据的图表，但我省略了 2021 年。它位于我的域的中间，所以我不知道如何将其从图表中取出。今年的数据没有任何值。

另外，如果可能的话，让 2019 年和 2023 年不要超出图表线的边缘也是很好的。

代码如下：

{
  "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
  "data": {"url": "https://raw.githubusercontent.com/sebastipasti/seba27.github.io/refs/heads/main/VA%20tinker.csv"},
  "mark": {"type": "bar", "width": {"band": 1}, 
  "cornerRadiusEnd": 2},
  "encoding": {
    "x": {
      "field": "Year",
      "type": "temporal",
      "axis": {"domain": false, "grid": false},
      "scale": {"nice": false, "zero": false},
      "title": "Year"
    },
    "y": {
      "field": "Value",
      "type": "quantitative",
      "axis": {"domain": false, "grid": false, "offset": 20},
      "title": null,
    },
    "xOffset": {"field": "Group"},
    "color": {
      "field": "Group",
      "type": "nominal",
      "scale": {
        "domain": ["Violence against the person", "Rape", "Sexual offences", "Robbery", "Theft offences", "Criminal damage and arson", "Drug offences", "Possession of weapons", "Public order offences", "Miscellaneous crimes against society", "Fraud offences"],
        "range": ["#9e0142", "#d53e4f", "#f46d43", "#fdae61", "#fee08b", "#ffffbf", "#e6f598", "#abdda4", "#66c2a5", "#3288bd", "#5e4fa2"]
      },
      "title": "Offence Group"
    },
    "order": {"field": "order", "type": "ordinal"}
  },
  "resolve": {"scale": {"x": "independent"}}
}

谢谢

Answer 1

像这样吗？

{
  "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
  "data": {
    "url": "https://raw.githubusercontent.com/sebastipasti/seba27.github.io/refs/heads/main/VA%20tinker.csv"
  },
  "mark": {"type": "bar", "width": {"band": 1}, "cornerRadiusEnd": 2},
  "encoding": {
    "x": {
      "field": "Year",
      "type": "ordinal",
      "axis": {"domain": false, "grid": false},
      "title": "Year"
    },
    "y": {
      "field": "Value",
      "type": "quantitative",
      "axis": {"domain": false, "grid": false, "offset": 20},
      "title": null
    },
    "color": {
      "field": "Group",
      "type": "nominal",
      "scale": {
        "domain": [
          "Violence against the person",
          "Rape",
          "Sexual offences",
          "Robbery",
          "Theft offences",
          "Criminal damage and arson",
          "Drug offences",
          "Possession of weapons",
          "Public order offences",
          "Miscellaneous crimes against society",
          "Fraud offences"
        ],
        "range": [
          "#9e0142",
          "#d53e4f",
          "#f46d43",
          "#fdae61",
          "#fee08b",
          "#ffffbf",
          "#e6f598",
          "#abdda4",
          "#66c2a5",
          "#3288bd",
          "#5e4fa2"
        ]
      },
      "title": "Offence Group"
    },
    "order": {"field": "order", "type": "ordinal"}
  },
  "resolve": {"scale": {"x": "independent"}}
}