How to display pictures by ggplot2, RCall and Julia in jupyter? - ggplot2

Question

I tried to use ggplot2 in julia by RCall, like example below
using DataFrames
using RCall
df = DataFrame(randn(10,2),:auto)
#rlibrary ggplot2
#rlibrary ggsci
ggplot(df, aes(x=:x1, y=:x2))+geom_point()
It works well in the REPL, but in jupyter notebook something goes wrong, as the debug info below
REvalError: Warning in (function (filename = "Rplot%03d.png", width = 480, height = 480, :
locale not supported by Xlib: some X ops will operate in C locale
Warning in (function (filename = "Rplot%03d.png", width = 480, height = 480, :
X cannot set locale modifiers
Error in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)) :
X11 font -adobe-helvetica-%s-%s-*-*-%d-*-*-*-*-*-*-*, face 1 at size 9 could not be loaded
Calls: <Anonymous> ... grid.Call -> <Anonymous> -> descentDetails.text -> grid.Call
Stacktrace:
[1] handle_eval_stderr(; as_warning::Bool)
# RCall ~/.julia/packages/RCall/iMDW2/src/io.jl:162
[2] rprint(io::IOContext{IOBuffer}, s::Ptr{VecSxp})
# RCall ~/.julia/packages/RCall/iMDW2/src/io.jl:36
[3] rprint
# ~/.julia/packages/RCall/iMDW2/src/io.jl:46 [inlined]
[4] show
# ~/.julia/packages/RCall/iMDW2/src/io.jl:52 [inlined]
[5] show
# ./multimedia.jl:47 [inlined]
[6] limitstringmime(mime::MIME{Symbol("text/plain")}, x::RObject{VecSxp})
# IJulia ~/.julia/packages/IJulia/e8kqU/src/inline.jl:43
[7] display_mimestring
# ~/.julia/packages/IJulia/e8kqU/src/display.jl:71 [inlined]
[8] display_dict(x::RObject{VecSxp})
# IJulia ~/.julia/packages/IJulia/e8kqU/src/display.jl:102
[9] #invokelatest#2
# ./essentials.jl:708 [inlined]
[10] invokelatest
# ./essentials.jl:706 [inlined]
[11] execute_request(socket::ZMQ.Socket, msg::IJulia.Msg)
# IJulia ~/.julia/packages/IJulia/e8kqU/src/execute_request.jl:112
[12] #invokelatest#2
# ./essentials.jl:708 [inlined]
[13] invokelatest
# ./essentials.jl:706 [inlined]
[14] eventloop(socket::ZMQ.Socket)
# IJulia ~/.julia/packages/IJulia/e8kqU/src/eventloop.jl:8
[15] (::IJulia.var"#15#18")()
# IJulia ./task.jl:411
I tried to save the picture in pdf, png or svg format, and only pdf works well: png and svg will raise error
g = ggplot(df, aes(x=:x1, y=:x2))+geom_point()
ggsave(joinpath(odir,"try.png"),g)
REvalError: Saving 7 x 7 in image
Warning in png_dev(..., res = dpi, units = "in") :
locale not supported by Xlib: some X ops will operate in C locale
Warning in png_dev(..., res = dpi, units = "in") :
X cannot set locale modifiers
Error in grid.Call(C_stringMetric, as.graphicsAnnot(x$label)) :
X11 font -adobe-helvetica-%s-%s-*-*-%d-*-*-*-*-*-*-*, face 1 at size 9 could not be loaded
Calls: <Anonymous> ... grid.Call -> <Anonymous> -> descentDetails.text -> grid.Call
Sup
Run corresponding codes in R works as well.
> library(ggplot2)
> df = data.frame(x1=rnorm(10),x2=rnorm(10))
> df
x1 x2
1 0.18165143 0.38032665
2 -0.62212533 0.52412366
3 0.98072899 0.30052532
4 -0.76721485 -0.63748290
5 0.00894366 0.04508702
6 -0.33166441 0.37056327
7 -0.14156795 -1.06334665
8 -1.08918837 -0.30631348
9 0.22035254 0.78816722
10 0.00356827 -0.62542425
> ggplot(df, aes(x=x1,y=x2))+geom_point()
And it generate pictures here:
Environments
R session
R version 4.1.1 (2021-08-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.3 LTS
Matrix products: default
BLAS: /mnt/Storage/home/yangdongxu/softwares/R/R_4.1_installed/lib/R/lib/libRblas.so
LAPACK: /mnt/Storage/home/yangdongxu/softwares/R/R_4.1_installed/lib/R/lib/libRlapack.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ggplot2_3.3.5
loaded via a namespace (and not attached):
[1] magrittr_2.0.1 tidyselect_1.1.1 munsell_0.5.0 colorspace_2.0-2
[5] R6_2.5.1 rlang_0.4.12 fansi_0.5.0 dplyr_1.0.7
[9] grid_4.1.1 gtable_0.3.0 utf8_1.2.2 DBI_1.1.1
[13] withr_2.4.3 ellipsis_0.3.2 assertthat_0.2.1 digest_0.6.29
[17] tibble_3.1.6 lifecycle_1.0.1 crayon_1.4.2 purrr_0.3.4
[21] farver_2.1.0 vctrs_0.3.8 glue_1.5.1 labeling_0.4.2
[25] compiler_4.1.1 pillar_1.6.4 generics_0.1.1 scales_1.1.1
[29] pkgconfig_2.0.3
Julia: version 1.6.4
So what should I do to display the picture directly in jupyter like python %matplotlib inline?
Thanks.