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  • unstack raises error when there is only one dimension stacked · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
457472563 https://github.com/pydata/xarray/issues/1126#issuecomment-457472563 https://api.github.com/repos/pydata/xarray/issues/1126 MDEyOklzc3VlQ29tbWVudDQ1NzQ3MjU2Mw== fujiisoup 6815844 2019-01-25T06:43:01Z 2019-01-25T06:43:01Z MEMBER

It is already fixed.

 
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   unstack raises error when there is only one dimension stacked 189721898
457428897 https://github.com/pydata/xarray/issues/1126#issuecomment-457428897 https://api.github.com/repos/pydata/xarray/issues/1126 MDEyOklzc3VlQ29tbWVudDQ1NzQyODg5Nw== stale[bot] 26384082 2019-01-25T02:04:16Z 2019-01-25T02:04:16Z NONE

In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity If this issue remains relevant, please comment here; otherwise it will be marked as closed automatically

 
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   unstack raises error when there is only one dimension stacked 189721898
260999065 https://github.com/pydata/xarray/issues/1126#issuecomment-260999065 https://api.github.com/repos/pydata/xarray/issues/1126 MDEyOklzc3VlQ29tbWVudDI2MDk5OTA2NQ== shoyer 1217238 2016-11-16T16:41:08Z 2016-11-16T16:41:08Z MEMBER

I agree, this is annoying. Unfortunately, pandas does not have support a MultiIndex with one level, so it's not obvious how we would represent such objects in xarray's data model. If we simply treated ds.stack(z=['dim1']) as a rename operation, then we wouldn't know how to do unstack('z').

One option would be to use a normal pandas.Index where Index.name differs from the name of the dimension on the xarray.Variable, though it might be cleaner/more-obvious using our own wrapper class of some sort. I think this would be relatively sane, but it would require adjustments throughout the codebase in every place where we use a MultiIndex.

 
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   unstack raises error when there is only one dimension stacked 189721898

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