Published
Edited
Mar 1, 2018
1 fork
1 star
lineData = [{x:0,y:200},
{x:100, y:200},
{x:500,y:200}]
{
const svg = d3.select(DOM.svg(500,500))
const line = d3.line()
.x((d)=> d.x)
.y((d)=> d.y);
const xScale = d3.scaleLinear()
.domain([0, 8])
.range([0, 500]);
svg.datum(lineData).append('path')
.attr('fill', 'none')
.attr('stroke', "steelblue")
.attr('d', line);
// Origin Method
// without translate each text element, which rotation axis is rotated according to (0,0)
svg.selectAll('text.norotation')
.data(data)
.enter()
.append('text')
.text((d)=>d)
.classed('norotation', true)
.attr('fill', 'black')
.attr('x', (d,i)=> xScale(i))
.attr('y', 200)
// Modified Method
// translate each text element's position, let the rotation axis is rotatedaccording to its position
svg.selectAll('text.rotation')
.data(data)
.enter()
.append('text')
.text((d)=>d)
.classed('rotation', true)
.attr('fill', 'black')
.attr('transform', (d,i)=>{
return 'translate( '+xScale(i)+' , '+220+'),'+ 'rotate(45)';})
.attr('x', 0)
.attr('y', 0)
return svg.node()
}
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.