I’m wondering if anyone else is seeing this behaviour as well as:
Is this a plotly thing or a jupyter notebook thing or a mix of both?
I am iteratively creating graphs with relatively modest sized datasets (At most 150 rows). It’s all summary data, 3-5 columns * up to 150 rows.
After about 3-4 graphs created in a given page the rendering takes a huge hit in terms of speed. The page seems to freeze up and with 15+ graphs on a given notebook it can take up to 20 minutes to fully render, once it is fully rendered it’s reasonably performant (other than being very slow to switch tabs).
using https://hub.docker.com/r/jupyter/all-spark-notebook/tags/ on latest I think that’s (14fdfbf9cfc1)
And plotly version: @jupyterlab/plotly-extension v0.18.1
root@47712b0e71c0:~# jupyter --version 4.4.0 root@47712b0e71c0:~# jupyter labextension list JupyterLab v0.35.4 Known labextensions: app dir: /opt/conda/share/jupyter/lab @jupyter-widgets/jupyterlab-manager v0.38.1 enabled OK @jupyterlab/hub-extension v0.12.0 enabled OK @jupyterlab/plotly-extension v0.18.1 enabled OK jupyterlab_bokeh v0.6.3 enabled OK
I’m mostly wondering if my use case (multiple distinctly drawn graphs in one notebook is a common or extreme edge case. And really, is anyone else seeing this or just me?