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  • achapkowski · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
472441105 https://github.com/pydata/xarray/issues/2788#issuecomment-472441105 https://api.github.com/repos/pydata/xarray/issues/2788 MDEyOklzc3VlQ29tbWVudDQ3MjQ0MTEwNQ== achapkowski 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. 

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   Documentation on accessors? 414552031
360425470 https://github.com/pydata/xarray/issues/1853#issuecomment-360425470 https://api.github.com/repos/pydata/xarray/issues/1853 MDEyOklzc3VlQ29tbWVudDM2MDQyNTQ3MA== achapkowski 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?

 
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   Customization of XArray Columns 291300808

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