在 Vega-Lite 中创建自定义条形图
Creating custom bar chart in Vega-Lite
我是 Vega-Lite
的新手,我正在尝试复制与此类似的图表
以下是我的代码,它没有生成我需要的东西。
{
"$schema":"https://vega.github.io/schema/vega-lite/v5.json",
"width":800,
"height":600,
"autosize":{
"type":"fit",
"contains":"padding"
},
"data":{
"url":"data/cars.json"
},
"mark":{
"type":"rect",
"tooltip":true,
"strokeWidth":0.1,
"stroke":"white"
},
"encoding":{
"x":{
"field":"Horsepower",
"type":"quantitative",
"bin":{
"maxbins":100
},
"axis":{
"labelAngle":0
}
},
"y":{
"aggregate":"count",
"field":"Horsepower",
"type":"quantitative"
}
}
}
这是它的作用
我需要做什么才能获得我想要的输出?这里有一个关于主题 的问题,但它是在 python
altair
中完成的,我不想这样做。我想仅使用 Vega-Lite
.
来生成它
提前致谢。
您可以使用 bin transform followed by a window transform to generate the fields required to create this kind of chart. For example (open in editor):
{
"data": {"url": "data/cars.json"},
"transform": [
{"bin": {"maxbins": 50}, "field": "Horsepower", "as": "Horsepower"},
{"window": [{"op": "count", "as": "index"}], "groupby": ["Horsepower"]}
],
"mark": {
"type": "rect",
"tooltip": true,
"strokeWidth": 0.3,
"stroke": "white"
},
"encoding": {
"x": {"field": "Horsepower", "type": "quantitative", "bin": "binned"},
"x2": {"field": "Horsepower_end"},
"y": {
"field": "index",
"type": "ordinal",
"scale": {"reverse": true},
"title": "count"
}
},
"width": 400,
"height": 300
}
我是 Vega-Lite
的新手,我正在尝试复制与此类似的图表
以下是我的代码,它没有生成我需要的东西。
{
"$schema":"https://vega.github.io/schema/vega-lite/v5.json",
"width":800,
"height":600,
"autosize":{
"type":"fit",
"contains":"padding"
},
"data":{
"url":"data/cars.json"
},
"mark":{
"type":"rect",
"tooltip":true,
"strokeWidth":0.1,
"stroke":"white"
},
"encoding":{
"x":{
"field":"Horsepower",
"type":"quantitative",
"bin":{
"maxbins":100
},
"axis":{
"labelAngle":0
}
},
"y":{
"aggregate":"count",
"field":"Horsepower",
"type":"quantitative"
}
}
}
这是它的作用
我需要做什么才能获得我想要的输出?这里有一个关于主题 python
altair
中完成的,我不想这样做。我想仅使用 Vega-Lite
.
提前致谢。
您可以使用 bin transform followed by a window transform to generate the fields required to create this kind of chart. For example (open in editor):
{
"data": {"url": "data/cars.json"},
"transform": [
{"bin": {"maxbins": 50}, "field": "Horsepower", "as": "Horsepower"},
{"window": [{"op": "count", "as": "index"}], "groupby": ["Horsepower"]}
],
"mark": {
"type": "rect",
"tooltip": true,
"strokeWidth": 0.3,
"stroke": "white"
},
"encoding": {
"x": {"field": "Horsepower", "type": "quantitative", "bin": "binned"},
"x2": {"field": "Horsepower_end"},
"y": {
"field": "index",
"type": "ordinal",
"scale": {"reverse": true},
"title": "count"
}
},
"width": 400,
"height": 300
}