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/2034#issuecomment-378107700,https://api.github.com/repos/pydata/xarray/issues/2034,378107700,MDEyOklzc3VlQ29tbWVudDM3ODEwNzcwMA==,25473287,2018-04-03T02:26:41Z,2018-04-03T02:26:41Z,NONE,"And this JupyterLab approach will be **way better** than ncview... Say, you can easily compare multiple NetCDF files by [subdividing panels](https://jupyterlab.readthedocs.io/en/latest/user/interface.html#main-work-area).","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,310547057
https://github.com/pydata/xarray/issues/2034#issuecomment-378106951,https://api.github.com/repos/pydata/xarray/issues/2034,378106951,MDEyOklzc3VlQ29tbWVudDM3ODEwNjk1MQ==,25473287,2018-04-03T02:21:33Z,2018-04-03T02:21:33Z,NONE,"> This would spawn a web server providing an interactive web-based GUI explorer for all variables in the dataset. You could use this locally or on a remote system.

Seems like JupyterLab is a perfect fit for this purpose. See this [geojson extension](https://github.com/jupyterlab/jupyter-renderers/tree/master/packages/geojson-extension) for example. Notice that you can view a `*.geojson` file in a standalone window (shown as a map) and do not have to use Jupyter notebooks at all.

It should be possible to view a NetCDF file directly in JupyterLab, with an extension built on top of xarray+GeoViews. @philippjfr should have more insights on this...","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,310547057
https://github.com/pydata/xarray/issues/2034#issuecomment-378082894,https://api.github.com/repos/pydata/xarray/issues/2034,378082894,MDEyOklzc3VlQ29tbWVudDM3ODA4Mjg5NA==,25473287,2018-04-02T23:45:40Z,2018-04-03T02:04:52Z,NONE,"> thus replacement for ncview

GeoViews can make interactive plots of xarray data. There's an [example](http://geo.holoviews.org/user_guide/Gridded_Datasets_I.html). 

An even more straightforward and customizable way is matplotlib + [Jupyter Interact](http://ipywidgets.readthedocs.io/en/latest/examples/Using%20Interact.html). It can easily replicate all ncview's functionalities.","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,310547057