JuliaPlots / JuliaPlots/PlotlyJS.jl
Graph not rendering in jupyter notebook
- Dominant language
- Julia
- Stars
- 444
- Forks
- 86
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Description
**Describe the bug**
I have difficulty in reproducing precisely the bug. When I start a new jupyter notebook, and run
`using Plots`
`plotlyjs()`
`plot(1:30,rand(30))`
I get (often)
`[17801:0516/093408.632872:ERROR:buffer_manager.cc(488)] [.DisplayCompositor]GL ERROR :GL_INVALID_OPERATION : glBufferData: <- error from previous GL command`
and most of the time I do not get the graph. I have tried to rebuild ORCA/WebIO but it did not solve reliably the problem. Same thing happen with plotly.
**Version info**
Julia Version 1.4.0
Commit b8e9a9ecc6 (2020-03-21 16:36 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Core(TM) i7-8650U CPU @ 1.90GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-8.0.1 (ORCJIT, skylake)
Pkg status :
Status `~/.julia/environments/v1.4/Project.toml`
[a076750e] CPLEX v0.6.5
[e2554f3b] Clp v0.8.0
[f6369f11] ForwardDiff v0.10.10
[60bf3e95] GLPK v0.13.0
[c91e804a] Gadfly v1.2.1
[a2cc645c] GraphPlot v0.3.1
[2e9cd046] Gurobi v0.8.0
[7073ff75] IJulia v1.21.2
[c601a237] Interact v0.10.3
[b6b21f68] Ipopt v0.6.1
[4076af6c] JuMP v0.21.2
[093fc24a] LightGraphs v1.3.3
[626554b9] MetaGraphs v0.6.5
[47be7bcc] ORCA v0.3.1
[429524aa] Optim v0.20.1
[f0f68f2c] PlotlyJS v0.13.1
[91a5bcdd] Plots v1.2.5
[d330b81b] PyPlot v2.9.0
[f4570300] SDDP v0.3.2
[0f1e0344] WebIO v0.8.14
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