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/2888#issuecomment-485882338,https://api.github.com/repos/pydata/xarray/issues/2888,485882338,MDEyOklzc3VlQ29tbWVudDQ4NTg4MjMzOA==,1217238,2019-04-23T16:41:59Z,2019-04-23T16:41:59Z,MEMBER,"Given that our optional dependencies can all be added individually, I'm a little skeptical that options like `pip install xarray[netcdf4]` provide much value over `pip install xarray netcdf4`. But I do appreciate the virtue of making this information programmatically accessible, and certainly would have no objection to contributors here.

But do note:
- We currently do not keep track of version requirements for optional dependencies. It would take some investigation/testing to figure out what works.
- This is not a widespread practice among Python data/numerical computing projects. For example, pandas does not do this.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,432058005
https://github.com/pydata/xarray/issues/2888#issuecomment-482434962,https://api.github.com/repos/pydata/xarray/issues/2888,482434962,MDEyOklzc3VlQ29tbWVudDQ4MjQzNDk2Mg==,1217238,2019-04-12T04:42:41Z,2019-04-12T04:42:41Z,MEMBER,"We test xarray continuously against the latest released versions of all these dependencies (and older versions, too, in many cases). For xarray and netCDF4, for example, you could simply use `pip install xarray netcdf4`.

Are there particular subpackages you would suggest?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,432058005