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/2461#issuecomment-557325065,https://api.github.com/repos/pydata/xarray/issues/2461,557325065,MDEyOklzc3VlQ29tbWVudDU1NzMyNTA2NQ==,14808389,2019-11-21T23:53:25Z,2019-11-21T23:53:25Z,MEMBER,just note that in the end the result is still 2D with the missing values filled with `nan`,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,366626025
https://github.com/pydata/xarray/issues/2461#issuecomment-557322577,https://api.github.com/repos/pydata/xarray/issues/2461,557322577,MDEyOklzc3VlQ29tbWVudDU1NzMyMjU3Nw==,14808389,2019-11-21T23:42:28Z,2019-11-21T23:42:28Z,MEMBER,"to get your example to work, use this:
```python
data=pd.DataFrame({'x': [0, 1, 2], 'y': ['a', 'b', 'c'],'z': ['a', 'b', 'c']})
xr.DataArray(data.x, coords={'y': data.y, 'x':data.z}, dims=""y"")
```
to get both as dimensions, use
```python
df = pd.DataFrame({'x': [0, 1, 2], 'y': ['a', 'b', 'c'],'z': ['a', 'b', 'c']})
ds = df.set_index([""y"", ""z""]).to_xarray()
```","{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 1, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,366626025