How to change maker in scatter plot in Julia -


i change marker style of 2d scatter plot based on value in vector, displaying 3 dimensions on 2 axes. below i'd , error when try it.

x = rand(1:30,100) y = rand(20:30,100) mymarker = [fill("o",50);fill("x",50)] scatter(x,y,marker=mymarker,alpha=0.5)  loaderror: pyerror (:pyobject_call) <type 'exceptions.valueerror'> valueerror(u"unrecognized marker style ['o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x']",)   file "/home/lara/.julia/v0.4/conda/deps/usr/lib/python2.7/site-packages/matplotlib/pyplot.py", line 3251, in scatter     edgecolors=edgecolors, data=data, **kwargs)   file "/home/lara/.julia/v0.4/conda/deps/usr/lib/python2.7/site-packages/matplotlib/__init__.py", line 1812, in inner     return func(ax, *args, **kwargs)   file "/home/lara/.julia/v0.4/conda/deps/usr/lib/python2.7/site-packages/matplotlib/axes/_axes.py", line 3877, in scatter     marker_obj = mmarkers.markerstyle(marker)   file "/home/lara/.julia/v0.4/conda/deps/usr/lib/python2.7/site-packages/matplotlib/markers.py", line 171, in __init__     self.set_marker(marker)   file "/home/lara/.julia/v0.4/conda/deps/usr/lib/python2.7/site-packages/matplotlib/markers.py", line 252, in set_marker     ' {0}'.format(marker))  while loading in[91], in expression starting on line 1   in getindex @ /home/lara/.julia/v0.4/pycall/src/pycall.jl:228  in pysequence_query @ /home/lara/.julia/v0.4/pycall/src/conversions.jl:717  [inlined code] /home/lara/.julia/v0.4/pycall/src/conversions.jl:733  in pytype_query @ /home/lara/.julia/v0.4/pycall/src/conversions.jl:762  in convert @ /home/lara/.julia/v0.4/pycall/src/conversions.jl:782  in pycall @ /home/lara/.julia/v0.4/pycall/src/pycall.jl:363  in call @ /home/lara/.julia/v0.4/pycall/src/pycall.jl:372  in close_queued_figs @ /home/lara/.julia/v0.4/pyplot/src/pyplot.jl:401

i have tried following, neither of want close enough, , neither works.

using plots pyplot(size=(400,200), legend=false)  # set backend , set session defaults scatter(rand(30),m = colorgradient([:red,:green,:blue]),zcolor = repmat([0,0.5,1],10))  using plots pyplot(size=(400,200), legend=false)  # set backend , set session defaults scatter(rand(30),         m = colorgradient([:red,:green,:blue]),  # colors defined gradient         zcolor = repmat([0,0.5,1],10) # sample gradient, cycling through: 0, 0.5, 1        )

can tell me how make marker take in vector?

update have work around don't having this: dividing data separate sets , plotting them on same axes:

pyplot.plot(spacerdataactualspacer[:length],spacerdataactualspacer[:curvature],marker="x",".") pyplot.plot(spacerdatanoactualspacer[:length],spacerdatanoactualspacer[:curvature],marker="o",".")

enter image description here

there's few different things can try (i'm on plots dev, can't work out of box):

scatter(rand(30), group = repmat(1:3,10), marker=:auto) scatter(rand(30), group = repmat(1:3,10), shape=[:+ :o :utri]) scatter(rand(30), group = repmat(1:3,10), shape=[:+ :o :utri], layout=(3,1))

let me know if of want. honest i'm not totally sure know ideal viz like.


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