Data viewer rounding large integers to incorrect values

[repied]

Large integer are incorrectly displayed in the data viewer df =pd.DataFrame({'x':[400000000000000000001]})

Environment data

• VS Code version: 1.74.1 1ad8d514439d5077d2b0b7ee64d2ce82a9308e5a x64
• Jupyter Extension version (available under the Extensions sidebar): v2022.11.1003412109
• Python Extension version (available under the Extensions sidebar): v2022.20.2
• OS (Windows | Mac | Linux distro) and version: Linux
• Python and/or Anaconda version: Python 3.8.10
• Type of virtual environment used : conda 4.5.13
• Jupyter server running: Remote

Expected behaviour

We should see 400000000000000000001 as in the interactive window

Actual behaviour

We see 400000000000000000000 in the data viewer

Steps to reproduce:

1 - type in a python interactive window : df =pd.DataFrame({'x':[400000000000000000001]}) 2 - open the JUPYTER:VARIABLES pane 3 - Click on the "Show variable snapshot in data viewer" icon near df

[repied]

same issue in regular notebooks, triggered by using style

[repied]

Same issue in regular jupyter notebook (with a smaller value to make it a valid int64

[amunger]

likely due to either https://github.com/microsoft/vscode-jupyter/issues/11373 or https://github.com/microsoft/vscode-jupyter/issues/7426

[DonJayamanne]

@amunger I'd leave this issue open as both the other issues applies to floats, and this applies to bigints