Strange issue that just started today, for unknown reasons:
A plot in jupyterlab notebook I use ~daily now appears… squished, as if condensed into a few lines. See pic.
I’m not even sure where to start troubleshooting this. I still had bokeh 2.3.3 when this started.
- send output of cell to “new view” and “disable scrolling for outputs” in jupyter lab
- update to latest bokeh and jupyter lab (3.2.1)
- fresh conda env with just the required dependencies
- clear browser cache
- change to
… all to no avail.
Default browser for jupyter lab: MS Edge 97.0.1072.55
Also tried Chrome 97.0.4692.71, same result
Any suggestions greatly appreciated - many thanks!
Found the issue. The shape of the data caused my code to create a
LinearColorMapper with an empty palette:
color_mapper = LinearColorMapper(palette=, low=0, high=1)
Possible to have
LinearColorMapper raise an Exception / issue warning in such case? Thanks!
We can’t issue an error for simply creating a
LinearColorMapper with initial empty palette, because it’s not actually an error until it hits BokehJS, and a user could update the value between creating and calling “show”. There is a validation mechanism that can catch things at serialization (“show”) time, but it’s clunky and adds expense, so we try to avoid it except for very common problems (and this is the first time this has been raised on a help forum in ~10 years).
It’d probably be more fruitful to find a way to surface BokehJS errors more visibly than just the browser console, which not all users know to check. Please feel free to open a GitHub development discussion about this topic.
But yes, for folks like me who are blissfully ignorant of what’s happening under bokeh’s magic hood - and forget that browsers have consoles! - having some way to make errors on the JS side more visible sounds like it would be helpful. Realize this is probably rare, though.
I will attempt to open a GitHub request and probably garble it. Will edit this post with link.
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