showtable not working for some dataset in JupyterLab

[xiaodaigh]

showtable doesn't work for this data https://www.kaggle.com/c/GiveMeSomeCredit/data but it works for iris. The odd thing is it works in Juno, and Jupyter notebook, just on not JupyterLab.

gmsc = loadjdf("c:/Users/RTX2080/git/julia_presciient/data/gmsc.jdf")
showtable(gmsc)

I see an error in Chrome console

default.js:711 Uncaught (in promise) Error: Comms are disabled on this kernel connection
    at v.connectToComm (default.js:711)
    at e.<anonymous> (labextension.js:274)
    at l (labextension.js:55)
    at Object.next (labextension.js:36)
    at o (labextension.js:27)
connectToComm @ default.js:711
(anonymous) @ labextension.js:274
l @ labextension.js:55
(anonymous) @ labextension.js:36
o @ labextension.js:27
Promise.then (async)
l @ labextension.js:29
(anonymous) @ labextension.js:30
p @ labextension.js:26
e.connect @ labextension.js:250
createRenderer @ labextension.js:322
createRenderer @ registry.js:91
createRenderedMimetype @ widget.js:377
createOutputItem @ widget.js:355
_insertOutput @ widget.js:341
onModelChanged @ widget.js:219
m @ index.js:475
c @ index.js:433
e.emit @ index.js:106
_onListChanged @ model.js:218
m @ index.js:475
c @ index.js:433
e.emit @ index.js:106
push @ observablelist.js:135
_add @ model.js:203
add @ model.js:129
_onIOPub @ widget.js:92
_handleIOPub @ future.js:204
async function (async)
_handleIOPub @ future.js:200
handleMsg @ future.js:174
_handleMessage @ default.js:1067
(anonymous) @ default.js:122
Promise.then (async)
_onWSMessage @ default.js:119
default.js:711 Uncaught (in promise) Error: Comms are disabled on this kernel connection
    at v.connectToComm (default.js:711)
    at e.<anonymous> (labextension.js:274)
    at l (labextension.js:55)
    at Object.next (labextension.js:36)
    at o (labextension.js:27)

My versioninf() is

Julia Version 1.2.0
Commit c6da87ff4b (2019-08-20 00:03 UTC)
Platform Info:
  OS: Windows (x86_64-w64-mingw32)
  CPU: Intel(R) Core(TM) i7-8700K CPU @ 3.70GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-6.0.1 (ORCJIT, skylake)
Environment:
  JULIA_EDITOR = sublime_text
  JULIA_NUM_THREADS = 6
  JULIA_PKG_DEVDIR = c:/git/

My ]st retursn

    Status `C:\Users\RTX2080\git\julia_presciient\Project.toml`
  [336ed68f] + CSV v0.5.14
  [aaaa29a8] + Clustering v0.13.3
  [a93c6f00] + DataFrames v0.19.4
  [1313f7d8] + DataFramesMeta v0.5.0
  [7806a523] + DecisionTree v0.9.1
  [587475ba] + Flux v0.9.0
  [38e38edf] + GLM v1.3.4
  [babc3d20] + JDF v0.2.6
  [97c1335a] + JSExpr v0.5.1
  [682c06a0] + JSON v0.21.0
  [50d2b5c4] + Lazy v0.14.0
  [add582a8] + MLJ v0.5.2
  [d491faf4] + MLJModels v0.5.6
  [2bd173c7] + NodeJS v0.6.0
  [429524aa] + Optim v0.19.4
  [b98c9c47] + Pipe v1.1.0
  [91a5bcdd] + Plots v0.27.0
  [3646fa90] + ScikitLearn v0.5.1
  [2913bbd2] + StatsBase v0.32.0
  [f3b207a7] + StatsPlots v0.12.0
  [40c74d1a] + TableView v0.4.1
  [0f1e0344] + WebIO v0.8.11

[pfitzseb]

Can you view any tables (or other WebIO widgets) in JupyterLab?

[xiaodaigh]

As you see in the original post, the iris dataset shows properly, just not the bigger dataset.

[pfitzseb]

@travigd, do you have any idea why that error might happen? I'm super unfamiliar with how WebIO works in JupyterLab.