Philipp Rudiger
Philipp Rudiger
I guess I hadn't thought of using `apply` here, but I think hvPlot could actually explicitly support this by evaluating the `dim` transforms automatically. Here's what the apply approach looks...
The feature request is still valid.
Yes I'd love to see a new section in the hvPlot user guide about this.
>Still think that hover_cols should let you specify parameters, not just add to the default ones. That is a good point, it is certainly confusing. We do want to expose...
>I assume this is a feature request for Bokeh. Bryan has long wanted to add hit test filters to make this possible but I think that was just moved to...
Not quite sure what's up with that but this works: ```python s = pn.widgets.Select(options=list(autompg.columns)) autompg = autompg.interactive() def t(col1): return pn.pane.Interactive(autompg[[col1,'cyl']]) ```
Appears to be a bug in `.interactive` itself. The process that is used to discover how to render the component seems to leave the Interactive object in a weird state...
Agreed, I like this.
This produces a plot now, but not correctly: ```python test = pd.DataFrame({'idx': [0, 1], 'value': [0.4, 0.5]}) ( test .hvplot( x='idx', y='value', kind='bar', xticks=[(0.5, 'a'), (1.5, 'b')])) ``` ![bokeh_plot -...
You can enable webgl output by setting it on the HoloViews BokehRenderer, i.e. using: ``` import holoviews as hv hv.renderer('bokeh').webgl = True ```