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/2788#issuecomment-472441105,https://api.github.com/repos/pydata/xarray/issues/2788,472441105,MDEyOklzc3VlQ29tbWVudDQ3MjQ0MTEwNQ==,5131271,2019-03-13T14:19:31Z,2019-03-13T14:19:31Z,NONE,@dcherian A non-trivial example would help for both types of accessor patterns would help a lot and the best practice defined by the dev team on how to extend the API when needed.  ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,414552031
https://github.com/pydata/xarray/issues/1853#issuecomment-360425470,https://api.github.com/repos/pydata/xarray/issues/1853,360425470,MDEyOklzc3VlQ29tbWVudDM2MDQyNTQ3MA==,5131271,2018-01-25T10:27:54Z,2018-01-25T10:27:54Z,NONE,"@maxim-lian sure.  

I extended a pd.Series like this:

```
class PolygonSeries(pd.Series):

    def convex_hull(self, tol=.00001):
        # do stuff not normal to pandas
        return result
```

Can I do the same thing in xarray for a given column?  I can have different types of Series in Pandas' like object, int64, etc... and I can also have custom series objects as well (shown above).  Is there an x-array series that I can extend to match the pd.Series I created?
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,291300808