Data Analyst
Published
Edited
Jul 17, 2019
md`# Circles Group Transition`
{
var svg = d3.select(DOM.svg(width, height))
let circles = svg.selectAll('circle')
.data(data).enter()
.append('circle')
.attr('cx', d => x(+d.x))
.attr('cy', d => y(+d.y))
.attr('r', 5)
/*
let i = 0;
while (i < levels.length - 1) {
circles.filter(d => d.group == levels[i])
.transition()
.duration(1000)
.attr('cy', 350)
Promises.delay(2000, ++i);
}
*/
let i = 0
d3.interval(function() {
drop_group(circles, i)
i++
}, 1200)
/* circles.transition()
.delay((d, i) => i * 10)
.ease(d3.easeLinear)
.duration(5000)
.attr('cy', 350) */
return svg.node();
}
function drop_group(selection, i) {
selection.filter(d => d.group == levels[i])
.transition()
.duration(1000)
.attr('cy', 350)
}
function drop_iterate(selection) {
selection.transition()
.delay((d, i) => i * 10)
.duration(1000)
.attr('cy', 350)
}
function drop_all(selection) {
return selection.transition()
.duration(1000)
.attr('cy', 350)
}
levels = ['A', 'B', 'C']
width = 500
height = 500
x = d3.scaleLinear()
.domain([0, d3.max(data, d => +d.x)])
.range([20, 480])
y = d3.scaleLinear()
.domain([0, d3.max(data, d => +d.y)])
.range([480, 20])
data = d3.csv('https://gist.githubusercontent.com/daranzolin/e6e40ce71ea50c5076f001ff6d304060/raw/10e538afe9b9c4c8fdf08c71e913f676fcc06d12/testdata.csv')
d3 = require("d3@5")
d3.extent(data, d => +d.y)
y(24)
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