You can see this code in action here: http://bl.ocks.org/2626142
This code draws a line chart, then transitions between 3 sample data sets. When moving from a small data set to a larger one, the extra data points suddenly appear instead of smoothly unfolding from the existing line.
When moving from a larger data set to a smaller one, the line is suddenly truncated before transitioning to fill the whole chart.
With this code there are sudden additions and deletions to the line and gridlines. How do I eliminate those?
var data = [
[0,2,3,2,8],
[2,4,1,5,3],
];
var data2 = [
[0,1,2,3,4,5],
[9,8,7,6,5,6],
];
var data3 = [
[1,3,2],
[0,8,5],
];
var w = 300,
h = 100;
var chart = d3.select('body').append('div')
.attr('class', 'chart')
.append('svg:svg')
.attr('width', w)
.attr('height', h);
var color = d3.scale.category10();
function drawdata(data, chart) {
var num = data[0].length-1;
var x = d3.scale.linear().domain([0, num]).range([0,w]);
var y = d3.scale.linear().domain([0, 10]).range([h, 0]);
var line = d3.svg.line()
.x(function(d, i) { return x(i); })
.y(function(d) { return y(d); });
var flat = d3.svg.line()
.x(function(d, i) { return x(i); })
.y(y(-1));
var lines = chart.selectAll('.line')
.data(data);
lines.enter().append('path')
.attr('class', 'line')
.style('stroke', function(d,i) { return color(i); })
.attr('d', line);
lines.transition()
.ease('linear')
.duration(500)
.attr('d', line);
lines.exit().remove();
// legend
var ticks = chart.selectAll('line')
.data(x.ticks(num));
ticks.enter().append('line')
.attr('x1', x)
.attr('x2', x)
.attr('y1', 0)
.attr('y2', h)
.attr('class', 'rule');
ticks.transition()
.ease('linear')
.duration(500)
.attr('x1', x)
.attr('x2', x)
.attr('y1', 0)
.attr('y2', h);
ticks.exit().remove();
}
var dats = [data, data2, data3];
function next() {
var it = dats.shift();
dats.push(it);
drawdata(it, chart);
}
setInterval(next, 2000);
next();
I faced a similar problem recently, and solved it using a custom interpolator for paths:
Here's what the original gist looks like with the new interpolator: http://bl.ocks.org/4535474.
Its approach is to 'buffer' the smaller dataset's path by inserting zero-length line segments at the beginning. The effect is that new segments expand out of a single point at the start of the line, and unused segments similarly collapse down to a single point.
Transitioning between datasets of different sizes (apparently) isn't a common problem, and doesn't have a universal solution. Because I was visualizing time-series data and transitioning between daily/weekly/monthly intervals, I needed the segments towards the end of the path to maintain visual continuity. I can imagine a case in which you'd want to do the same for the beginning of the path, or perhaps expand/contract the path by uniformly buffering segments throughout. Either way the same approach will work.