If you check out the dev branch of Plots, you can do 'plot(y, t=:scattergl)' and it should use the WebGL method in Plotly. Try it out if you want... (and report back if you find anything interesting)
On Mon, Jun 13, 2016 at 9:11 AM, Jonathan Malmaud <[email protected]> wrote: > Does the Plots.jl wrapper over PlotlyJS support the OpenGL-based scatter > plotting? > > On Monday, June 13, 2016 at 8:08:42 AM UTC-4, Tom Breloff wrote: >> >> I recommend testing your stuff with Plots... The overhead should be >> constant among backends, so you can use the same code to benchmark PyPlot, >> GR and Plotly/PlotlyJS. See the "backends" page of the Plots docs for more >> info. I recommend checking out master as there's been some good >> fixes/improvements since my last tag (I'll try to tag again today) >> >> Also I'm hoping that there can be some hacking on the GLVisualize backend >> during JuliaCon! >> >> On Monday, June 13, 2016, Mauro <[email protected]> wrote: >> >>> I also found that GR is a lot faster than PyPlot, so give that a try. >>> >>> On Mon, 2016-06-13 at 09:57, Andreas Lobinger <[email protected]> >>> wrote: >>> > Hello colleague, >>> > >>> > On Sunday, June 12, 2016 at 10:31:06 PM UTC+2, CrocoDuck O'Ducks wrote: >>> >> >>> >> Hi there! >>> >> >>> >> I have been experimenting a little with many plotting packages >>> recently. >>> >> Being used to Matlab PyPlot seemed to work well for me... until this >>> bug >>> >> <https://github.com/stevengj/PyPlot.jl/issues/209> I did not figure >>> out >>> >> how to workaround. I often need to plot a lot of data. The fact is >>> that I >>> >> often work with sampled data, like audio. For example, I could have >>> to plot >>> >> 10 seconds of 192 kHz sampled audio. Even when PyPlot was working it >>> was >>> >> hard to plot so many data: PyPlot was used to give up after few >>> errors. I >>> >> tried also other packages (Gadfly and few others) but seems like they >>> >> really struggle to plot so much stuff: they often kinda freeze. I am >>> not >>> >> sure wether I am missing something or using the packages improperly >>> or the >>> >> packages are somewhat limited at this stage. I have resorted to >>> export the >>> >> data to .mat files and plot with matlab... >>> >> >>> >> My question is: how do you guys plot large data sets? Do you suggest >>> a >>> >> plot package in particular? >>> >> >>> > >>> > I use some home-grown solutions and (still) Winston. I just tested >>> Plots.jl >>> > with GR backend and could plot 5e6 random lines. Maybe you look into >>> this. >>> > >>> > Wishing a happy day, >>> > Andreas >>> >>
