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Implement bokeh as alternative plotting lib #3
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For V-FOR-WaTer there is no big difference if the image is produced with matplotlib or bokeh. Only, matplotlib images are only html. When the result from hydrobox needs the javascript library of bokeh as well, there might be version conflicts at some time, as V-FOR-WaTer is using bokeh, too. In my opinion, when possible, the visualization of V-FOR-WaTer should be independent from the tools to be more flexible. |
Thanks, Marcus. What about bokeh JSON output? Could V-FOR-WaTer consume that? On severe version mismatches, WPS_toolbox could adjust the JSON. |
I am using |
Yeah I was thinking of something like this: Workflow would be:
We could transfer WPS_toolbox as a private project to V-FOR-WaTer organization (they are free now) and transfer this issue there. |
Not sure what you want to do with json_encoder. |
Yeah, sorry I sent the wrong link! Sorry |
About transferring WPS_toolbox here to V-FOR-WaTer: |
Alright, then I will create a |
This is still open. Unfortunately, all geostatistical tools included have a |
I am thinking about implementing bokeh as an alternative for plotting. Similar to holoviews, the user could switch from the default matplotlib plotting backend to bokeh.
Plotting tools would return the
bokeh.plotting.figure.Figure
to let the user decide whether to use it in a notebook, save it into a file or create the Jsonfor bokehjs from it.Similar to matplotlib, the functions would also accept a
bokeh.Figure
to plot on as an argument.I think it is still not too much work to go for this way. Would help the lib, and might be helpful in V-FOR-WaTer portal.
@MarcusStrobl , what do you think about this?
Would it be appreciated and helpful in the Visualization implementation of V-FOR-WaTer?
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