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
