Hi guys-

Really a feature request here (and I might be able to help with implementation)- I'm looking to be able to use some sort of sampling method on large datasets in plotly, similar to the sampling methods suggested here: http://hdl.handle.net/1946/15343 and implemented for flot here: https://github.com/sveinn-steinarsson/flot-downsample and in other places for other libraries. Ideally, I could load all of my data into plotly in x, y pairs and specify a max number of points to display, plotly would figure out which points to plot using the algorithm of my choice and the number of points (specified in the trace specification) then when I zoomed further in, it would first perform its normal zoom then it would resample for the new x coordinates and then redraw (or ideally not not sure exactly how it should work). Some caching of initial points etc might be in order as well.

Anyway, wondering if anyone else is looking for something like this, or if there are plans to implement, would love to work with someone on it.