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/pull/1905#issuecomment-365142325,https://api.github.com/repos/pydata/xarray/issues/1905,365142325,MDEyOklzc3VlQ29tbWVudDM2NTE0MjMyNQ==,2443309,2018-02-13T03:46:07Z,2018-02-13T03:46:07Z,MEMBER,"> Before closing this request and opening another, I want to make sure I am clear one the extent of what I should add.

First, don't close this PR. You can just keep adding commits to your `pnc-backend`. 

In terms of test coverage, let's start by detailing what functionality we expect the PseudoNetCDF backend to have.

- What file formats are supported by PseudoNetCDF?
- What roundtrip capability is expected when PseudoNetCDF is used (i.e. if I write a netCDF3 file with scipy, can I open it with PNC and get exactly the same dataset)?
- What are PseudoNetCDF's dependencies (Python 3?, netCDF4?), are there optional dependencies?

Finally, two things that would really help grease the skids here would be:

1. Continuous integration testing in PseudoNetCDF, at a minimum on TravicCI, but Appveyor would be great too.
2. A conda-forge package to facilitate easy installs of PseudoNetCDF

Neither of these last two are strictly required but both are satisfied by all the other Xarray supported backends.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,296561316