Public
Edited
Feb 7, 2023
import {alphabet} from "@observablehq/plot-bar"
tips = FileAttachment("tips.csv").csv({typed: true})
Inputs.table(tips)
Plot.plot({
facet:{data:tips,y:'sex',marginTop:0,label:''},
marks: [
Plot.dot(tips, {x: "total_bill", y: "tip",facet:'exclude'}),
Plot.frame({stoke:'lightgray'})
],
})
// sns.scatterplot(x='total_bill',y='tip',hue='day',style='time',size='size',data=tips)
// plt.show()
// 目前style还没有对应的。
//hue=fill,r=size
//color:{legend:true}
Plot.plot({
marks: [
Plot.dot(tips, {x: "total_bill", y: "tip",fill:'day',r:'size',})
],
color: { legend: true }
})
Plot.plot({
facet:{data:tips,y:'sex'},
marks: [
Plot.dot(tips, {x: "total_bill", y: "tip",fill:'day',r:'size',}),
Plot.frame({stoke:'lightgray'})
],
color: { legend: true }
})
三、line 线图
//color=stroke
//Plot.ruleY,Plot.ruleY
Plot.plot({
marks:[
Plot.dot(d3.sort(s),{x: s.keys(), y:s.values()}),
Plot.ruleY([0]),
Plot.ruleX([0])
],
color:{legend:true},
}
)
s=d3.rollup(tips,v=>d3.mean(v,d=>d.tip),d=>d.day)
fmri=FileAttachment('fmri.csv').csv()
Inputs.table(fmri)
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