When I run the following code...
using Plots
y = cumsum(randn(100,3))
scatter(y, zcolor=y)
...I see a colorbar for the first series outside the plot area, and two colorbars for the other two series superimposed inside the plot area:

I was expecting the three series to share a single colorbar placed outside the plot area. Thinking I could keep the first series's colorbar on and disable the others, I added colorbar=[true false false], but the plot output did not change.
When I add layout=2, the first two colorbars are placed outside the two plot areas, and the third is superimposed on the second plot area:
scatter(y, zcolor=y, layout=2)

What is the syntax for having multiple series share one colorbar?
EDIT: I'm using the PyPlot backend with Plots 0.8.1. When I switch to GR, there is one colorbar located outside the plot area.
This specific behavior is specific to pyplot, and I think I see what is happening. Each series overwrites the saved colorbar handle with a new colorbar, and only the last one in each subplot is getting positioned properly.
Note to self: when fixing, do a search for cbar_ax, and check that the field exists before adding a new one.
As a work around I used something along the lines:
h1 = contour(rand(3,3), cbar=false, clims=(0,3), fill=true)
scatter!(1:3,1:3, zcolor=1:3, cbar=false, clims=(0,3))
h2 = scatter([0,0], [0,1], zcolor=[0,3], clims=(0,3),
xlims=(1,1.1), axis=false, label="", colorbar_title="cbar", grid=false)
l = @layout [grid(1,1) a{0.01w}]
plot(h1,h2,layout=l)
Excellent hack. You've figured me out... Write ugly hacks so I'm compelled
to fix the underlying problem!
On Tuesday, September 27, 2016, Mauro [email protected] wrote:
As a work around I used something along the lines:
h1 = contour(rand(3,3), cbar=false, clims=(0,3), fill=true)
scatter!(1:3,1:3, zcolor=1:3, cbar=false, clims=(0,3))
h2 = scatter([0,0], [0,1], zcolor=[0,3], clims=(0,3),
xlims=(1,1.1), axis=false, label="", colorbar_title="cbar")
l = @layout [grid(1,1) a{0.01w}]
plot(h1,h2,layout=l)—
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I'll start trolling all of your issues which are open longer than one week with dirty hacks. That will teach you! ;-)
(No, seriously, thanks for all your good and hard work on Plots.jl!)
Closing with #1084
Most helpful comment
Closing with #1084