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/7363#issuecomment-1340809916,https://api.github.com/repos/pydata/xarray/issues/7363,1340809916,IC_kwDOAMm_X85P6yK8,14808389,2022-12-07T11:09:03Z,2022-12-07T11:09:03Z,MEMBER,"> implementing a ""grow_coordinate"" function to grow / reallocate larger arrays copying the previous chunk along a coordinate

this sounds a lot like `pad` with `mode=""constant""`?

> is it possible that xarray makes no assumptions of this kind

`xarray` uses `pandas` indexes for alignment and indexing (if you have a recent version of `xarray` you should see the ""Indexes"" section in the HTML repr), so yes, it will always make sure to use a search that is more efficient than the linear search, as long as the data is sorted. This was also the reason why you had to use `swap_dims` / `set_index` to create an index along the coordinate you wanted to `reindex`.","{""total_count"": 1, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 1, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1479121713
https://github.com/pydata/xarray/issues/7363#issuecomment-1339675640,https://api.github.com/repos/pydata/xarray/issues/7363,1339675640,IC_kwDOAMm_X85P2dP4,14808389,2022-12-06T16:55:40Z,2022-12-06T16:55:40Z,MEMBER,"I'm a bit surprised. Could you post a `repr` of `timestamps_extended_basis`? That might help figuring out what exactly happened. 

If everything fails, you might also create a new `xarray` object with just the new values, and then use `xr.concat` to combine both?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1479121713
https://github.com/pydata/xarray/issues/7363#issuecomment-1339568566,https://api.github.com/repos/pydata/xarray/issues/7363,1339568566,IC_kwDOAMm_X85P2DG2,14808389,2022-12-06T15:39:20Z,2022-12-06T15:39:20Z,MEMBER,"I *think* this is because you don't have an index along the dimension. Try any of
```python
previous_observations.set_coords([""timestamps""]).swap_dims({""time"": ""timestamps""}).reindex(...)
previous_observations.set_index({""time"": ""timestamps""}).reindex(...)
```
(the only difference is the name of the dimension / coordinate you end up with)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1479121713