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/2949#issuecomment-728353649,https://api.github.com/repos/pydata/xarray/issues/2949,728353649,MDEyOklzc3VlQ29tbWVudDcyODM1MzY0OQ==,8833517,2020-11-16T21:58:09Z,2020-11-16T21:58:09Z,CONTRIBUTOR,"Since PR #3126 seems to be closed due to performance issues, is this underlying issue still considered an issue, or should it be closed?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,442063346
https://github.com/pydata/xarray/issues/2949#issuecomment-511215090,https://api.github.com/repos/pydata/xarray/issues/2949,511215090,MDEyOklzc3VlQ29tbWVudDUxMTIxNTA5MA==,2818208,2019-07-14T16:08:12Z,2019-07-14T16:08:12Z,CONTRIBUTOR,I've created PR https://github.com/pydata/xarray/pull/3126 to fix this issue.,"{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,442063346
https://github.com/pydata/xarray/issues/2949#issuecomment-491103705,https://api.github.com/repos/pydata/xarray/issues/2949,491103705,MDEyOklzc3VlQ29tbWVudDQ5MTEwMzcwNQ==,881019,2019-05-09T23:36:37Z,2019-05-09T23:36:37Z,NONE,"..so you'd need to do:
```python
>>> series = array.to_series().copy(deep=False)
>>> series.index = series.index.copy(deep=False)
>>> series.index.name = 'shallow_copy'
>>> series.index.name
'shallow_copy'
>>> array.to_series().index.name
'forward_date'
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,442063346
https://github.com/pydata/xarray/issues/2949#issuecomment-491100027,https://api.github.com/repos/pydata/xarray/issues/2949,491100027,MDEyOklzc3VlQ29tbWVudDQ5MTEwMDAyNw==,881019,2019-05-09T23:15:43Z,2019-05-09T23:15:43Z,NONE,"Unfortunately a shallow copy of a pandas series doesn't shallow copy it's index (I think it should):
```python
>>> series = array.to_series().copy(deep=False)
>>> series.index.name = 'shallow_copy'
>>> array.to_series().index.name
'shallow_copy'    # <--- I'd call this a pandas bug!
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,442063346
https://github.com/pydata/xarray/issues/2949#issuecomment-491087998,https://api.github.com/repos/pydata/xarray/issues/2949,491087998,MDEyOklzc3VlQ29tbWVudDQ5MTA4Nzk5OA==,1217238,2019-05-09T22:17:19Z,2019-05-09T22:17:19Z,MEMBER,I don't think we even bother to shallow copy the pandas Index from the DataArray. We should probably do that.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,442063346
https://github.com/pydata/xarray/issues/2949#issuecomment-491062218,https://api.github.com/repos/pydata/xarray/issues/2949,491062218,MDEyOklzc3VlQ29tbWVudDQ5MTA2MjIxOA==,881019,2019-05-09T20:53:19Z,2019-05-09T21:00:07Z,NONE,"Agreed that we definitely don't want to copy the data! I haven't.put in a PR as I think we're a bit hamstrung by pandas' behaviour here so I'm not quite sure how to fix it (without copying the data).

I'm unlikely to get around to a PR in the near term as I'm swamped (and can put up with deep copying the index for now). From my digging about I think the proper fix should be in pandas such that a shallow copy doesn't return a reference to the original name.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,442063346
https://github.com/pydata/xarray/issues/2949#issuecomment-491034791,https://api.github.com/repos/pydata/xarray/issues/2949,491034791,MDEyOklzc3VlQ29tbWVudDQ5MTAzNDc5MQ==,2448579,2019-05-09T19:28:01Z,2019-05-09T19:28:01Z,MEMBER,@dhirschfeld can you put together a PR to fix this?,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,442063346
https://github.com/pydata/xarray/issues/2949#issuecomment-490966302,https://api.github.com/repos/pydata/xarray/issues/2949,490966302,MDEyOklzc3VlQ29tbWVudDQ5MDk2NjMwMg==,1217238,2019-05-09T16:05:53Z,2019-05-09T16:05:53Z,MEMBER,I would tend to agree here -- the only data for which we want to use views are (potentially large) numpy arrays.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,442063346