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/3245#issuecomment-780798734,https://api.github.com/repos/pydata/xarray/issues/3245,780798734,MDEyOklzc3VlQ29tbWVudDc4MDc5ODczNA==,199813,2021-02-17T19:33:05Z,2021-02-17T19:33:05Z,NONE,"Is there any motion on this? This come up in relation to akward array today (see https://github.com/scikit-hep/awkward-1.0/issues/749 ). 

If xarray goes with the `to_numpy` spelling as well then all of {pandas, xarray, akwardarray} have the same spelling which is nice from the Matplotlib side of things.

I think the `as_` vs `to_` distinction the ""to_"" makes more sense as it gets you out of xarray land and drops you back to raw numpy land.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,484240082
https://github.com/pydata/xarray/issues/3245#issuecomment-539215442,https://api.github.com/repos/pydata/xarray/issues/3245,539215442,MDEyOklzc3VlQ29tbWVudDUzOTIxNTQ0Mg==,1634164,2019-10-07T21:37:53Z,2019-10-07T21:37:53Z,NONE,"As far as I can tell, the proposal here will require either
```python
s = pd.Series(...)
xr.DataArray.from_series(s).to_series()
```
or:
```python
xr.DataArray.from_series(s, sparse=True).to_dense().to_series()
```

For any code that can't guarantee sparse/non-sparse input, the first will fail sometimes, so it will always be necessary to write the latter everywhere, which IMO is unnecessarily verbose.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,484240082