[julia-users] Re: Plotting lots of data

2016-09-22 Thread CrocoDuck O'Ducks
Hi! Thank you for your package. Yes, I managed to get my plots working with GR. For some reason now it is plotting all the lines, I don't get the weird white bands anymore. On Wednesday, 21 September 2016 12:52:43 UTC+1, Igor wrote: > > Hello! > did you managed to plot big data sets? You can tr

Re: [julia-users] Re: Plotting lots of data

2016-09-22 Thread Igor _
Chris, thank you for the information!! 21 сент. 2016 г. 23:07 пользователь "Chris Rackauckas" написал: > Usually I'm plotting the run from really long differential equations > solution. The one I am mentioning is from a really long stochastic > differential equation solution (publication coming

[julia-users] Re: Plotting lots of data

2016-09-21 Thread Chris Rackauckas
Usually I'm plotting the run from really long differential equations solution. The one I am mentioning is from a really long stochastic differential equation solution (publication coming soon). 19 lines with likely millions of dots, thrown together into one figure or spanning multiple. I can't

[julia-users] Re: Plotting lots of data

2016-09-21 Thread Andreas Lobinger
Hello colleague, On Wednesday, September 21, 2016 at 8:34:21 PM UTC+2, Chris Rackauckas wrote: > > 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 ba

[julia-users] Re: Plotting lots of data

2016-09-21 Thread Chris Rackauckas
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

[julia-users] Re: Plotting lots of data

2016-09-21 Thread Igor
Hello! 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 написа

[julia-users] Re: Plotting lots of data

2016-06-15 Thread CrocoDuck O'Ducks
Hi, thank you very much, really appr

Re: [julia-users] Re: Plotting lots of data

2016-06-13 Thread Mauro
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 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 pac

[julia-users] Re: Plotting lots of data

2016-06-13 Thread Andreas Lobinger
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 >

[julia-users] Re: Plotting lots of data

2016-06-12 Thread Robert Gates
PlotlyJS.jl is a great tool, we use it to plot the boundary meshes of 3D finite element models as well as result data. Seems to handle large datasets well. The API is well-documented and everything works as expected. On Sunday, June 12, 2016 at 11:31:06 PM UTC+3, CrocoDuck O'Ducks wrote: > > Hi