关于在 Vega-lite (Deneb) 中设置动态域的说明

Question

参考这篇文章

在Vega-Lite (Deneb)中设置动态域

我想理解下面代码行中的表达式

"params":   
[
{"name": "max", "expr": "data('data_0')[0]['max']"},
{"name": "min", "expr": "data('data_0)[0]['min']"}
]

我尝试实现相同的代码并尝试进行更改，但它不起作用。 y 轴未绘制。

{
  "data": {"name": "dataset"},
  "title": "All Points",
  "transform": [
    {
      "joinaggregate": [
        {
          "op": "max",
          "field": "dollar_price",
          "as": "_max"
        },
        {
          "op": "min",
          "field": "dollar_price",
          "as": "_min"
        }
      ]
    }
  ],
  "params": [
    {
      "name": "Max_Range",
      "expr": "data('dataset')[0]['_max']"
    },
    {
      "name": "Min_Range",
      "expr": "data('dataset')[0]['_min']"
    }
  ],
  "encoding": {
    "x": {
      "field": "date",
      "type": "temporal"
    },
    "y": {
      "field": "dollar_price",
      "type": "quantitative",
      "scale": {
        "domain": {
          "expr": "[Min_Range,Max_Range]"
        }
      }
    },
    "color": {
      "field": "country_name",
      "type": "nominal"
    }
  },
  "layer": [
    {"mark": "line"},
    {
      "mark": {
        "type": "point",
        "size": 20
      }
    },
    {
      "mark": {
        "type": "text",
        "align": "left",
        "baseline": "middle",
        "dy": -10
      },
      "transform": [
        {
          "calculate": "format(datum.dollar_price,'.1f')",
          "as": "New_Text"
        }
      ],
      "encoding": {
        "text": {
          "field": "New_Text",
          "type": "quantitative"
        }
      }
    }
  ]
}

Answer 1

VL 对原始数据集执行各种操作。试试这个：

{
  "data": {"name": "dataset"},
  "title": "All Points",
  "transform": [
    {
      "joinaggregate": [
        {
          "op": "max",
          "field": "dollar_price",
          "as": "_max"
        },
        {
          "op": "min",
          "field": "dollar_price",
          "as": "_min"
        }
      ]
    }
  ],
  "params": [
    {
      "name": "Max_Range",
      "expr": "data('data_0')[0]['_max']"
    },
    {
      "name": "Min_Range",
      "expr": "data('data_0')[0]['_min']"
    }
  ],
  "encoding": {
    "x": {
      "field": "date",
      "type": "temporal"
    },
    "y": {
      "field": "dollar_price",
      "type": "quantitative",
      "scale": {
        "domain": {
          "expr": "[Min_Range,Max_Range]"
        }
      }
    },
    "color": {
      "field": "country_name",
      "type": "nominal"
    }
  },
  "layer": [
    {"mark": "line"},
    {
      "mark": {
        "type": "point",
        "size": 20
      }
    },
    {
      "mark": {
        "type": "text",
        "align": "left",
        "baseline": "middle",
        "dy": -10
      },
      "transform": [
        {
          "calculate": "format(datum.dollar_price,'.1f')",
          "as": "New_Text"
        }
      ],
      "encoding": {
        "text": {
          "field": "New_Text",
          "type": "quantitative"
        }
      }
    }
  ]
}