If you run it in the repl, it should bring up an interactive window automatically. In ijulia, calling 'gui()' should do the same. (Let me know if that doesn't work)
Spencer Lyon and I were working on integrating PlotlyJS just today, which will give great interaction to inline IJulia plots... Stay tuned. On Tuesday, March 8, 2016, <[email protected]> wrote: > Sorry about asking so many questions for you, but thank you very much. > Plots was the only package that proved to be efficient in my case! > > I just would like to know if in these 3D examples using PyPlot as backend > we can like rotate the plot. > > Thanks > > On Tuesday, March 8, 2016 at 10:24:01 AM UTC-6, Tom Breloff wrote: >> >> This will work as expected if you call "scatter3d" instead. The 3D >> interface needs a bit of an overhaul... I agree that something like >> "scatter" on x/y/z should properly produce a 3D scatter. It's on my radar. >> >> On Tue, Mar 8, 2016 at 11:16 AM, <[email protected]> wrote: >> >>> Is it possible to do this color plot for a 3D example?. In this case the >>> color of the markers will depend on another expression: >>> >>> using Plots >>> pyplot(leg = false, size = (400,300)) >>> x = linspace(0,20,100) >>> y = sin(x) >>> z = cos(x) >>> scatter(x,y,z, zcolor=20*x + y, marker = (:o, stroke(1))) >>> >>> >>> >>> On Tuesday, March 8, 2016 at 9:49:36 AM UTC-6, Tom Breloff wrote: >>>> >>>> It's possible you have an old version... try doing >>>> Pkg.checkout("Plots"). I'll get around to tagging a new version soon. >>>> >>>> On Tue, Mar 8, 2016 at 10:47 AM, <[email protected]> wrote: >>>> >>>>> >>>>> >>>>> On Tuesday, March 8, 2016 at 9:41:14 AM UTC-6, [email protected] >>>>> wrote: >>>>>> >>>>>> Thank you very much Tom! However, my plot is not showing the colors, >>>>>> it's just black, do you know what can be happening? >>>>>> >>>>>> On Tuesday, March 8, 2016 at 9:33:39 AM UTC-6, Tom Breloff wrote: >>>>>>> >>>>>>> You can almost copy that verbatim with PyPlot.jl, or here's the same >>>>>>> in Plots: >>>>>>> >>>>>>> [image: Inline image 1] >>>>>>> >>>>>>> >>>>>>> On Tue, Mar 8, 2016 at 9:51 AM, <[email protected]> wrote: >>>>>>> >>>>>>>> Hello Julia Users, >>>>>>>> >>>>>>>> PyPlot has some modules related to color plots. However the >>>>>>>> documentation in Julia don't address the following application (in >>>>>>>> Python): >>>>>>>> >>>>>>>> import numpy as npimport matplotlib.pyplot as plt >>>>>>>> >>>>>>>> x = np.linspace(0, 20, 100) >>>>>>>> y = np.sin(x) >>>>>>>> z = x + 20 * y >>>>>>>> >>>>>>>> scaled_z = (z - z.min()) / z.ptp() >>>>>>>> colors = plt.cm.coolwarm(scaled_z) >>>>>>>> >>>>>>>> plt.scatter(x, y, marker='+', edgecolors=colors, s=150, linewidths=4) >>>>>>>> plt.show() >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> Does anyone know how can I define the "colors" as above and plot in >>>>>>>> Julia the same example? >>>>>>>> >>>>>>>> Any information is really helpful. >>>>>>>> >>>>>>>> Thank you very much. >>>>>>>> >>>>>>> >>>>>>> >>>> >>
