Reputation: 874
I would like to change the marker style of a 2D scatter plot based on the value in a vector, ultimately displaying 3 dimensions on two axes. Below is what I'd like to do and the error I get when I 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 at /home/lara/.julia/v0.4/PyCall/src/PyCall.jl:228
in pysequence_query at /home/lara/.julia/v0.4/PyCall/src/conversions.jl:717
[inlined code] from /home/lara/.julia/v0.4/PyCall/src/conversions.jl:733
in pytype_query at /home/lara/.julia/v0.4/PyCall/src/conversions.jl:762
in convert at /home/lara/.julia/v0.4/PyCall/src/conversions.jl:782
in pycall at /home/lara/.julia/v0.4/PyCall/src/PyCall.jl:363
in call at /home/lara/.julia/v0.4/PyCall/src/PyCall.jl:372
in close_queued_figs at /home/lara/.julia/v0.4/PyPlot/src/PyPlot.jl:401
I have tried the following, neither of which is exactly what I want to do but they are close enough, and neither works.
using Plots
pyplot(size=(400,200), legend=false) # set backend and set some 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 and set some session defaults
scatter(rand(30),
m = ColorGradient([:red,:green,:blue]), # colors are defined by a gradient
zcolor = repmat([0,0.5,1],10) # sample from the gradient, cycling through: 0, 0.5, 1
)
Can anyone tell me how to make marker take in a vector?
Update I have a work around but I don't like having to do this: dividing the data into separate sets and then plotting them on the same axes:
PyPlot.plot(spacerdataActualSpacer[:Length],spacerdataActualSpacer[:Curvature],marker="x",".")
PyPlot.plot(spacerdataNoActualSpacer[:Length],spacerdataNoActualSpacer[:Curvature],marker="o",".")
Upvotes: 1
Views: 4414
Reputation: 1802
There's a few different things you can try (I'm on Plots dev, so I can't be certain what will work for you out of the 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 any of that is what you want. To be honest I'm not totally sure I know what your ideal viz will look like.
Upvotes: 2