I've managed to plot quite a few large datasets. GR through Plots.jl works
very well for this. I tend to still prefer the defaults of PyPlot, but GR
is just so much faster that I switch the backend whenever the amount of
data gets unruly (larger than like 5-10GB, and it's worked to save a raster
image from data larger than 40-50 GB). Plots + GR is a good combo.
On Wednesday, September 21, 2016 at 4:52:43 AM UTC-7, Igor wrote:
> did you managed to plot big data sets? You can try to use my small package
> for this ( https://github.com/ig-or/qwtwplot.jl ) - it's very
> interesting for me how it can handle big data sets.
> Best regards, Igor
> четверг, 16 июня 2016 г., 0:08:42 UTC+3 пользователь CrocoDuck O'Ducks
>> Hi, thank you very much, really appreciated. GR seems pretty much what I
>> need. I like I can use Plots.jl with it. PlotlyJS.jl is very hot, I guess I
>> will use it when I need interactivity. I will look into OpenGL related
>> visualization tools for more advanced plots/renders.
>> I just have a quick question. I just did a quick test with GR plotting
>> two 1 second long sine waves sampled at 192 kHz, one of frequency 100 Hz
>> and one of frequency 10 kHz. The 100 Hz looks fine but the 10 kHz plot has
>> blank areas (see attached pictures). I guess it is due to the density of
>> lines... probably solved by making the plot bigger?