FloatingTableView with Jupyter Notebook?

General Usage
1

FloatingTableView is a cool package for the console, but it doesn’t seem to work within a Jupyter Notebook (either using Jupytern or VSCode). Is there any way to get it working, or any alternatives for Notebook?

Thanks for any help - this would be really handy for my students

2

What is the error? I just tried getting it to work in a Jupyter Notebook and it worked fine.

3

Thanks - it was inside VSCode’s implementation of Jupyter Notebooks

browse(df)

IOError: connect: connection refused (ECONNREFUSED)

Stacktrace:
  [1] wait_connected(x::Sockets.TCPSocket)
    @ Sockets /Applications/Julia-1.8.app/Contents/Resources/julia/share/julia/stdlib/v1.8/Sockets/src/Sockets.jl:529
  [2] connect
    @ /Applications/Julia-1.8.app/Contents/Resources/julia/share/julia/stdlib/v1.8/Sockets/src/Sockets.jl:564 [inlined]
  [3] connect(addr::Sockets.IPv4, port::Int64)
    @ Sockets /Applications/Julia-1.8.app/Contents/Resources/julia/share/julia/stdlib/v1.8/Sockets/src/Sockets.jl:550
  [4] try_connect(::Sockets.IPv4, ::Vararg{Any}; interval::Float64, attempts::Int64)
    @ Blink.AtomShell ~/.julia/packages/Blink/mwJC9/src/AtomShell/process.jl:79
  [5] try_connect
    @ ~/.julia/packages/Blink/mwJC9/src/AtomShell/process.jl:76 [inlined]
  [6] init(; debug::Bool)
    @ Blink.AtomShell ~/.julia/packages/Blink/mwJC9/src/AtomShell/process.jl:93
  [7] #shell#11
    @ ~/.julia/packages/Blink/mwJC9/src/AtomShell/process.jl:149 [inlined]
  [8] shell
    @ ~/.julia/packages/Blink/mwJC9/src/AtomShell/process.jl:140 [inlined]
  [9] #Window#16
    @ ~/.julia/packages/Blink/mwJC9/src/AtomShell/window.jl:89 [inlined]
 [10] Window
    @ ~/.julia/packages/Blink/mwJC9/src/AtomShell/window.jl:89 [inlined]
 [11] browse(df::DataFrame; height::String, newwindow::Bool, kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})
    @ FloatingTableView ~/.julia/packages/FloatingTableView/3oFY2/src/FloatingTableView.jl:69

Thanks for any help.

4

Can you please try opening up a Blink window by itself?

julia> using Blink

julia> w = Window() # Open a new window
Blink.AtomShell.Window(...)

julia> body!(w, "Hello World") # Set the body content

julia> loadurl(w, "http://julialang.org") # Load a web page
5

Yes, the Blink window was problematic as well.

I just came across something seems I need to run

python3 -m pip install --upgrade webio_jupyter_extension

or Conda equivalent.

6

The problem lies with Blink, then. See some docs here. Hopefully that isn’t your problem because that would be too much configuration for your students.

7

Hi. Thanks. What I was hoping for was something like exists in R where table editing of variables via a popout window is really quick and easy. What I have decided to do instead for now is use VSCode’s CSV editor to load/save csv files of DataFrames and use the CSV option to load them in/out of Julia.

A bit clunky, but it works.

8

Just as a note, this is probably bad practice and should be discouraged. For reproducibility, a;l changes should be done in the code and the raw data should be left “raw”.

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