Subplots do not scale correctly when using plotlyjs() with Plots.jl

[holgerteichgraeber]

** Description **
The second subplot seems to scale correctly, but the first one scales through the whole figure. See attached image.
This issue only occurs when using plotlyjs(). If that is replaced by plotly(), everything seems to work fine.

Minimum working example:

using Plots
plotlyjs()
p1=plot(1:10,1:10)
p2=plot(10:20,10:20)
plot(p1,p2,layout=(2,1))

Version info

Julia Version 1.0.2
Commit d789231e99 (2018-11-08 20:11 UTC)
Platform Info:
  OS: Linux (x86_64-pc-linux-gnu)
  CPU: Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.0 (ORCJIT, haswell)

** Pkg status **

  Status `~/.julia/environments/v1.0/Project.toml`
  [ad839575] Blink v0.9.0
  [336ed68f] CSV v0.4.3
  [e2554f3b] Clp v0.5.1
  [acd19e82] ClustAnalysis v0.1.0 [`../../dev/ClustAnalysis`]
  [fd0f8501] ClustForOpt_priv v0.0.0 [`~/.julia/dev/ClustForOpt_priv`]
  [aaaa29a8] Clustering v0.12.1
  [944b1d66] CodecZlib v0.5.1
  [a93c6f00] DataFrames v0.15.1
  [b4f34e82] Distances v0.7.3
  [5789e2e9] FileIO v1.0.4
  [2e9cd046] Gurobi v0.5.7
  [033835bb] JLD2 v0.1.2
  [4076af6c] JuMP v0.18.5
  [47be7bcc] ORCA v0.2.0
  [f0f68f2c] PlotlyJS v0.12.1
  [91a5bcdd] Plots v0.22.0
  [d330b81b] PyPlot v2.6.3
  [60ddc479] StatPlots v0.8.2
  [37e2e46d] LinearAlgebra 
  [10745b16] Statistics 
  [8dfed614] Test 

[cc7768]

Does this produce what you're looking for?

using PlotlyJS

t1 = scatter(;x=1:10, y=1:10, mode="line")
t2 = scatter(;x=10:20, y=10:20, mode="line")

[plot(t1); plot(t2)]

[holgerteichgraeber]

Yes, it does. However, using Plots instead of PlotlyJS does not produce anymore:

using Plots
plotlyjs()
t1 = scatter(;x=1:10, y=1:10, mode="line")
t2 = scatter(;x=10:20, y=10:20, mode="line")

[plot(t1); plot(t2)]

[sglyon]

Hi @holgerteichgraeber because it works when you use this package directly as noted by @cc7768, this is an issue that will need to be fixed in Plots.jl.

I'm going to close here and encourage you to open an issue over there

[sglyon]

Thank you by the way for providing the requested information when you opened the issue! 👏

[holgerteichgraeber]

Thank you for looking into this, I'll open it over at Plots.jl 👍