为什么同时使用Lookup转换和Aggregate转换的Vega-lite代码无法显示图表?这是一个小示例,可以为我在项目中尝试做的事情建模。
{
"data": {
"values": [
{"group": 1, "person": "Alan"},
{"group": 1, "person": "George"},
{"group": 1, "person": "Fred"},
{"group": 2, "person": "Steve"},
{"group": 2, "person": "Nick"},
{"group": 2, "person": "Will"},
{"group": 2, "person": "Cole"},
{"group": 3, "person": "Rick"},
{"group": 3, "person": "Tom"}
]},
"transform": [
{
"lookup": "person",
"from": {
"data": {
"values": [
{"name": "Alan", "_source": { "age": 10, "category": 5}},
{"name": "Tom", "_source": { "age": 7, "category": 10}}
]},
"key": "name",
"fields": ["_source.age", "_source.category"]
}
},
{"aggregate":
[{"op": "sum", "field": "_source.age", "as": "totalage"}],
"groupby": ["totalage", "_source.category"]}
],
"mark": "bar",
"encoding": {
"x": {"field": "_source.category", "type": "ordinal"},
"y": {"field": "totalage", "type": "quantitative"}
}
}
但是,这种使用Lookup转换但不使用Aggregate转换的Vega-lite代码成功显示了图表吗?
{
"data": {
"values": [
{"group": 1, "person": "Alan"},
{"group": 1, "person": "George"},
{"group": 1, "person": "Fred"},
{"group": 2, "person": "Steve"},
{"group": 2, "person": "Nick"},
{"group": 2, "person": "Will"},
{"group": 2, "person": "Cole"},
{"group": 3, "person": "Rick"},
{"group": 3, "person": "Tom"}
]},
"transform": [
{
"lookup": "person",
"from": {
"data": {
"values": [
{"name": "Alan", "_source": { "age": 10, "category": 5}},
{"name": "Tom", "_source": { "age": 7, "category": 10}}
]},
"key": "name",
"fields": ["_source.age", "_source.category"]
}
}
],
"mark": "bar",
"encoding": {
"x": {"field": "_source.category", "type": "ordinal"},
"y": {"field": "_source.age", "aggregate": "sum", "type": "quantitative"}
}
}
答案 0 :(得分:1)
groupby中的复合字段未正确转义(我相信这是vega-lite中的错误)。解决方法是,您可以手动对其进行转义,即替换
"groupby": ["_source.category"]
使用
"groupby": ["_source\\.category"]
我已在vega/vega-lite#6606上报告了此错误