html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue https://github.com/pydata/xarray/issues/2199#issuecomment-393764489,https://api.github.com/repos/pydata/xarray/issues/2199,393764489,MDEyOklzc3VlQ29tbWVudDM5Mzc2NDQ4OQ==,1217238,2018-06-01T05:36:11Z,2018-06-01T05:36:11Z,MEMBER,"I'm not strongly opposed to something like `DataArray.hvplot` for the accessor, it's just slightly less obvious than `DataArray.holoplot`. `hv` would probably be too short for a good name (but of course this is totally up to you), especially because I can imagine people using `hv` for a variables name, which can also be accessed via attributes.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,327725925 https://github.com/pydata/xarray/issues/2199#issuecomment-393292090,https://api.github.com/repos/pydata/xarray/issues/2199,393292090,MDEyOklzc3VlQ29tbWVudDM5MzI5MjA5MA==,1197350,2018-05-30T19:42:43Z,2018-05-30T19:42:43Z,MEMBER,Oh and another big 👍 to the datashader integration. This is crucial for my datasets.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,327725925 https://github.com/pydata/xarray/issues/2199#issuecomment-393291809,https://api.github.com/repos/pydata/xarray/issues/2199,393291809,MDEyOklzc3VlQ29tbWVudDM5MzI5MTgwOQ==,1197350,2018-05-30T19:41:56Z,2018-05-30T19:41:56Z,MEMBER,"I am a big fan of holoviews and have been using it extensively for my own work in recent months. So obviously I am a big 👍 on this integration. I agree the accessor is the best option for now, but I have no strong opinions about the name of the accessor. Some features I would like to see are things that go beyond the plotting capabilities associated with the matplotlib engine. For example: - Automatic generation of DynamicMaps. Say I have a DataArray with dimensions ('time', 'lat', 'lon'); I should be able to say `da.hv.plot(kdims=['lat', 'lon']` and have `time` become a dynamic selector. - To go along with the above, lazy loading of dask-backed arrays - Intelligent [faceting](http://xarray.pydata.org/en/stable/plotting.html#faceting) which automatically links the facet kdims - Plotting not just of DataArrays but Datasets. The variable itself could become a dynamic selector in a dropdown menu. Basically, I just want to say `ds.hv.plot()` and have holoviews provide all the options I need to explore the dataset interactively. Kind of like how [ncview](http://meteora.ucsd.edu/~pierce/ncview_home_page.html) works. At that point, we won't need ncview anymore. - Options for projections, coastlines, etc. associated with geoviews ","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,327725925 https://github.com/pydata/xarray/issues/2199#issuecomment-393214964,https://api.github.com/repos/pydata/xarray/issues/2199,393214964,MDEyOklzc3VlQ29tbWVudDM5MzIxNDk2NA==,1217238,2018-05-30T15:53:06Z,2018-05-30T15:53:06Z,MEMBER,"Very cool! I also think this would be a good use case for a new accessor, perhaps `DataArray.holoplot()` mirroring our preference for accessor names to match projects. An `engine` keyword/option could also be viable, but would require more coordination (e.g., figuring out the plotting interface, which seems to have stalled that plotting issue). That said, if pandas figured out a way to do this I'm sure we would be happy to copy it.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,327725925 https://github.com/pydata/xarray/issues/2199#issuecomment-393164716,https://api.github.com/repos/pydata/xarray/issues/2199,393164716,MDEyOklzc3VlQ29tbWVudDM5MzE2NDcxNg==,10050469,2018-05-30T13:37:41Z,2018-05-30T13:37:41Z,MEMBER,It looks like a good use case for [accessors](http://xarray.pydata.org/en/stable/internals.html#extending-xarray). The syntax could then be: ``DataArray.hv.plot()`` and would give you full flexibility.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,327725925