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/2404#issuecomment-419392403,https://api.github.com/repos/pydata/xarray/issues/2404,419392403,MDEyOklzc3VlQ29tbWVudDQxOTM5MjQwMw==,17178478,2018-09-07T10:12:09Z,2018-09-07T10:12:09Z,NONE,"I'll work on an MWE, but need to strip a bunch of data from it before I can share it. We encode using `{'zlib': True, 'complevel': 4}` for every data variable in the Dataset. Removing that doesn't change the error occurrence. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,357729048
https://github.com/pydata/xarray/issues/1949#issuecomment-369315468,https://api.github.com/repos/pydata/xarray/issues/1949,369315468,MDEyOklzc3VlQ29tbWVudDM2OTMxNTQ2OA==,17178478,2018-02-28T17:27:10Z,2018-02-28T17:27:38Z,NONE,"The drop technique seems reasonable, if a bit long-winded for the programmatic case (loop over all dimensions, find any that are empty -> loop over all variables, drop any that contain those empty dimensions).

As an addition, if the empty dimension also has an associated empty coordinate then it requires an extra step to get rid of it:

``` python
In [21]: test_dataset = xr.Dataset(dict(
    ...:     empty_array=xr.DataArray([], dims='a', coords={'a':[]}), 
    ...:     populated_array=xr.DataArray([1], {'b':['1']}, 'b')
    ...: ))

In [22]: test_dataset
Out[22]: 
<xarray.Dataset>
Dimensions:          (a: 0, b: 1)
Coordinates:
  * a                (a) float64 
  * b                (b) <U1 '1'
Data variables:
    empty_array      (a) float64 
    populated_array  (b) int32 1

In [23]: test_dataset.drop('empty_array')
Out[23]: 
<xarray.Dataset>
Dimensions:          (a: 0, b: 1)
Coordinates:
  * a                (a) float64 
  * b                (b) <U1 '1'
Data variables:
    populated_array  (b) int32 1

In [24]: del test_dataset['a']

In [25]: test_dataset.drop('empty_array')
Out[25]: 
<xarray.Dataset>
Dimensions:          (b: 1)
Coordinates:
  * b                (b) <U1 '1'
Data variables:
    populated_array  (b) int32 1
```

Fixes seem reasonable, based on how we use xarray over at https://github.com/calliope-project/calliope/. The second one also provides more scope to remove subsets of data (all corresponding dims, coords, vars) if the dimension becomes superfluous for any reason, whether or not the dimension is empty.

","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,301031693
https://github.com/pydata/xarray/issues/1949#issuecomment-369247490,https://api.github.com/repos/pydata/xarray/issues/1949,369247490,MDEyOklzc3VlQ29tbWVudDM2OTI0NzQ5MA==,17178478,2018-02-28T14:00:26Z,2018-02-28T14:00:26Z,NONE,"I don't think it's actually possible to purge `a`, hence why I started an issue rather than SO Q. As you can see, squeeze() removes `b` from the list of dimensions, but not `a` (as `a` has a length 0, not 1). ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,301031693