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  • max-sixty · 2 ✖

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  • Removing dimensions from Dataset objects · 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
369267269 https://github.com/pydata/xarray/issues/1949#issuecomment-369267269 https://api.github.com/repos/pydata/xarray/issues/1949 MDEyOklzc3VlQ29tbWVudDM2OTI2NzI2OQ== max-sixty 5635139 2018-02-28T15:03:56Z 2018-02-28T15:03:56Z MEMBER

Hmmm, this is harder than I originally expected. I imagine someone will comment with an easy solution, otherwise I'll have another look 

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   Removing dimensions from Dataset objects 301031693
369246561 https://github.com/pydata/xarray/issues/1949#issuecomment-369246561 https://api.github.com/repos/pydata/xarray/issues/1949 MDEyOklzc3VlQ29tbWVudDM2OTI0NjU2MQ== max-sixty 5635139 2018-02-28T13:57:18Z 2018-02-28T13:59:43Z MEMBER

I think SO is the best place for user Qs, so the answers can be searchable for future generations.

To respond immediately though, have you tried .squeeze? Or, to confirm, you actually want to remove a rather than b here?

```python In [1]: import xarray as xr

In [2]: test_dataset = xr.Dataset(dict( ...: empty_array=xr.DataArray([], dims='a'), ...: populated_array=xr.DataArray([1], {'b':['1']}, 'b') ...: ))

In [3]: test_dataset Out[3]: <xarray.Dataset> Dimensions: (a: 0, b: 1) Coordinates: * b (b) <U1 '1' Dimensions without coordinates: a Data variables: empty_array (a) float64 populated_array (b) int64 1

In [4]: test_dataset.squeeze() Out[4]: <xarray.Dataset> Dimensions: (a: 0) Coordinates: b <U1 '1' Dimensions without coordinates: a Data variables: empty_array (a) float64 populated_array int64 1 ```

 
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   Removing dimensions from Dataset objects 301031693

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