[BUG]: Blank plot in Jupyterlab when plotly is installed in different virtual env from jupyter server

2つの uv 環境と ipython kernel install でインストールしたカーネルを使って空白の図を再現し、デフォルトの fig.show() と fig.show(renderer="notebook") を比較します。まず、issue に記載されている Jupyter 関連の挙動と、リンク先の Plotly トラブルシューティングページを確認します。個別の環境でデフォルト表示が動作するか、またはトラブルシューティングのドキュメントで必要なセットアップと回避策が明確に説明されていれば完了です。

Description

I am using plotly in an environment managed by JupyterHub. I created a fresh virtual environment (independent from the one managed by JH, which I don't want to modify). I installed plotly in that virtual environment and added it as a kernel to Jupyter by running ipython kernel install in the virtual environment. However, if I open a Jupyter notebook with this kernel and try to create a plot, I get a blank figure. There is no Javascript error in the browser console.

Screenshots/Video

Steps to reproduce

This can be reproduced by creating a clean virtual environment with only Jupyter in it and then another one which contains plotly:

mkdir /tmp/plotly-issue
cd /tmp/plotly-issue

# ~equivalent to the environment managed by JupyterHub
uv init --bare jupyter-env
cd jupyter-env
uv add jupyterlab

cd ..
uv init --bare kernel-env
cd kernel-env
uv add ipykernel plotly nbformat # "Mime type rendering requires nbformat"
uv run ipython kernel install --prefix /tmp/plotly-issue/jupyter-env/.venv/ --name kernel-with-plotly

cd ../jupyter-env
uv run jupyter lab

Then, in jupyterlab, create a new notebook with the kernel kernel-with-plotly and run

from plotly import graph_objects as go
fig = go.Figure()
fig.add_trace(go.Bar(x=[1, 2, 3], y=[1, 3, 2]))
fig.show()

Notes

The figure works correctly if I replace the last line with fig.show(renderer="notebook"). However, the blank figure was very confusing and it took me several hours to find this solution. Additionally, I found a lot of online discussion pointing to this troubleshooting page: https://plotly.com/python/troubleshooting/ which mentions Jupyter / Jupyterlab in the introduction, but there is no section related to Jupyter in the main text. I think this page should be updated with some additional information on Jupyter.