Simon Høxbro Hansen
Simon Høxbro Hansen
As a workaround, you can specify the width and height of the side plots:  Code ``` python import numpy as np import holoviews as hv hv.extension('bokeh') points_dct = {...
The command to use is `num_bins`. Sorry for the late answer.   
A little surprised that setting bins to an integer does not raise an error as it should only support `np.ndarray, list, tuple, str` as seen here: https://github.com/holoviz/holoviews/blob/6c0dafb8dc0b2c059b0cfbf49908c51f243c309c/holoviews/operation/element.py#L659 So it seems...
**TL:DR:** This is properly a bokeh problem and has been fixed upstream. --- So I can somewhat recreate this problem. I'm using `bokeh` 2.4.3 and the latest master of `holoviews`....
No, the new version of Bokeh has an entirely new layout engine, which is properly what fixed it. It could be a single PR that has fixed it, but I...
I could get it to work by setting `ylim` in `opts`: ``` python curve_datashade1 = dynspread(datashade(curve1, cmap=['blue'], aggregator=ds.count())).opts(width=800, show_grid=True, ylim=(2, 10)) curve_datashade2 = dynspread(datashade(curve2, cmap=['red'], aggregator=ds.count())).opts(width=800, show_grid=True, ylim=(2, 10)) ```...
Try updating holoviews and datashader to the latest version.
After looking at it a bit more, I think there is a bug as I would expect the following to work, but it returns an empty plot: ``` python import...
I just checked if this is still happening and it is. So I still think this should be reopened. Another thing I noticed is that if you click on the...
@ianthomas23 Do you think that there could be some easy datashader performance improvements here? Do you think this condition is worth having a fast code path for?