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  • max-sixty · 3 ✖

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  • ENH: Forward & back fill methods · 3 ✖

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  • MEMBER · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
364503678 https://github.com/pydata/xarray/issues/1651#issuecomment-364503678 https://api.github.com/repos/pydata/xarray/issues/1651 MDEyOklzc3VlQ29tbWVudDM2NDUwMzY3OA== max-sixty 5635139 2018-02-09T17:36:29Z 2018-02-09T17:36:29Z MEMBER 
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   ENH: Forward & back fill methods 267826297
338868401 https://github.com/pydata/xarray/issues/1651#issuecomment-338868401 https://api.github.com/repos/pydata/xarray/issues/1651 MDEyOklzc3VlQ29tbWVudDMzODg2ODQwMQ== max-sixty 5635139 2017-10-24T04:15:47Z 2017-10-24T04:15:47Z MEMBER

Ah, that explains a lot. Thanks for the clarification. 

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   ENH: Forward & back fill methods 267826297
338855039 https://github.com/pydata/xarray/issues/1651#issuecomment-338855039 https://api.github.com/repos/pydata/xarray/issues/1651 MDEyOklzc3VlQ29tbWVudDMzODg1NTAzOQ== max-sixty 5635139 2017-10-24T02:40:35Z 2017-10-24T02:40:35Z MEMBER

Right, but numpy functions return the original type?

``` In [6]: da=xr.DataArray(np.random.rand(2,4))

In [12]: np.sum(da, axis=1) Out[12]: <xarray.DataArray (dim_0: 2)> array([ 0.880766, 2.058156]) Dimensions without coordinates: dim_0

In [14]: np.flip(da, 1) Out[14]: <xarray.DataArray (dim_0: 2, dim_1: 4)> array([[ 0.279932, 0.307569, 0.291855, 0.001411], [ 0.681486, 0.556972, 0.083212, 0.736487]]) Dimensions without coordinates: dim_0, dim_1 ```

 
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   ENH: Forward & back fill methods 267826297

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