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/3761#issuecomment-583488834,https://api.github.com/repos/pydata/xarray/issues/3761,583488834,MDEyOklzc3VlQ29tbWVudDU4MzQ4ODgzNA==,743508,2020-02-07T16:37:05Z,2020-02-07T16:37:05Z,CONTRIBUTOR,"I think it makes sense to support the conversion. Perhaps a better example is with a dataset:

```python
x = np.arange(10)
y = np.arange(10)

data = np.zeros((len(x), len(y)))

ds = xr.Dataset({k: xr.DataArray(data, coords=[x, y], dims=['x', 'y']) for k in ['a', 'b', 'c']})
ds.sel(x=1,y=1)
>>> <xarray.Dataset>
Dimensions:  ()
Coordinates:
    x        int64 1
    y        int64 1
Data variables:
    a        float64 0.0
    b        float64 0.0
    c        float64 0.0
```

The output is a dataset of scalars, which converts fairly intuitively to a single row dataframe. But the folloiwing throws the same error.

```python
ds.sel(x=1,y=1).to_dataframe()
```

Or think of it another way - isn't it very un-intuitive that converting a single-item dataset to a dataframe works *only if* the item was selected using a length-1 list? To me that seems like a very arbitrary restriction. Following that logic, it also makes sense to have consistent behaviour between Datasets and DataArrays (even if you end up producing a single-element table).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,561539035