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/4228#issuecomment-715987107,https://api.github.com/repos/pydata/xarray/issues/4228,715987107,MDEyOklzc3VlQ29tbWVudDcxNTk4NzEwNw==,2448579,2020-10-24T16:47:34Z,2020-10-24T16:47:34Z,MEMBER,"> f that's good enough to open a pull request and ask for a review.

please go ahead and open a PR. Thanks.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,657466413
https://github.com/pydata/xarray/issues/4228#issuecomment-658932130,https://api.github.com/repos/pydata/xarray/issues/4228,658932130,MDEyOklzc3VlQ29tbWVudDY1ODkzMjEzMA==,2448579,2020-07-15T18:32:36Z,2020-07-15T18:32:36Z,MEMBER,"You could do it with ""advanced indexing"" by providing a dataarray to the `.sel` or `.isel` methods: https://xarray.pydata.org/en/stable/indexing.html#more-advanced-indexing

``` python
da = xr.DataArray([[1, 2, 3], [4,5,6]], dims=[""coord1"", ""coord2""], coords={""coord2"": [10, 20, 30], ""coord1"": [1,2]}) 

i1 = xr.DataArray([1, 0], dims=[""z""], coords={""z"": [""label1"", ""label2""]})
i2 = xr.DataArray([2, 1], dims=[""z""], coords={""z"": [""label1"", ""label2""]})  

da.isel(coord1=i1, coord2=i2, drop=True).to_dataframe(name=""asd"")
```

```
        asd
z          
label1    6
label2    2
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,657466413
https://github.com/pydata/xarray/issues/4228#issuecomment-658884817,https://api.github.com/repos/pydata/xarray/issues/4228,658884817,MDEyOklzc3VlQ29tbWVudDY1ODg4NDgxNw==,2448579,2020-07-15T17:02:14Z,2020-07-15T17:02:14Z,MEMBER,"You need
```
xr.DataArray([1], coords=[('onecoord', [2])]).sel(onecoord=[2]).to_dataframe(name='name')
```

The difference is using `onecoord=2` gives a scalar
```
>>> xr.DataArray([1], coords=[('onecoord', [2])]).sel(onecoord=2)
<xarray.DataArray ()>
array(1)
Coordinates:
    onecoord  int64 2
```

while using `onecoord=[2]` gives a 1 element vector
```
>>> xr.DataArray([1], coords=[('onecoord', [2])]).sel(onecoord=[2])
<xarray.DataArray (onecoord: 1)>
array([1])
Coordinates:
  * onecoord  (onecoord) int64 2
```

And `to_dataframe` cannot handle scalars.

 I am not sure that there is a sensible way to convert a scalar DataArray to a DataFrame but we should throw a more informative error in any case.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,657466413